Water

20 pages, 933 KiB

Open AccessArticle

An Hourly Streamflow Forecasting Model Coupled with an Enforced Learning Strategy

by Ming-Chang Wu¹ and Gwo-Fong Lin^1,2,*

¹ Taiwan Typhoon and Flood Research Institute, National Applied Research Laboratories, 11F., No. 97, Sec. 1, Roosevelt Rd., Taipei City 10093, Taiwan

² Department of Civil Engineering, National Taiwan University, Taipei City 10617, Taiwan

Water 2015, 7(11), 5876-5895; https://doi.org/10.3390/w7115876 - 28 Oct 2015

Cited by 26 | Viewed by 5812

Abstract

Floods, one of the most significant natural hazards, often result in loss of life and property. Accurate hourly streamflow forecasting is always a key issue in hydrology for flood hazard mitigation. To improve the performance of hourly streamflow forecasting, a methodology concerning the [...] Read more.

Floods, one of the most significant natural hazards, often result in loss of life and property. Accurate hourly streamflow forecasting is always a key issue in hydrology for flood hazard mitigation. To improve the performance of hourly streamflow forecasting, a methodology concerning the development of neural network (NN) based models with an enforced learning strategy is proposed in this paper. Firstly, four different NNs, namely back propagation network (BPN), radial basis function network (RBFN), self-organizing map (SOM), and support vector machine (SVM), are used to construct streamflow forecasting models. Through the cross-validation test, NN-based models with superior performance in streamflow forecasting are detected. Then, an enforced learning strategy is developed to further improve the performance of the superior NN-based models, i.e., SOM and SVM in this study. Finally, the proposed flow forecasting model is obtained. Actual applications are conducted to demonstrate the potential of the proposed model. Moreover, comparison between the NN-based models with and without the enforced learning strategy is performed to evaluate the effect of the enforced learning strategy on model performance. The results indicate that the NN-based models with the enforced learning strategy indeed improve the accuracy of hourly streamflow forecasting. Hence, the presented methodology is expected to be helpful for developing improved NN-based streamflow forecasting models. Full article

(This article belongs to the Special Issue Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling)

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14 pages, 405 KiB

Open AccessArticle

Effects of Polymer Molecular Weight on Adsorption and Flocculation in Aqueous Kaolinite Suspensions Dosed with Nonionic Polyacrylamides

by Byung Joon Lee^1,* and Mark A. Schlautman²

¹ Department of Construction and Environmental Engineering, Kyungpook National University, 2559 Gyeongsang-daero, Sangju, Gyeongbuk 742-711, Korea

² Department of Environmental Engineering & Earth Sciences, Clemson University, Anderson, SC 29625-6510, USA

Water 2015, 7(11), 5896-5909; https://doi.org/10.3390/w7115896 - 28 Oct 2015

Cited by 42 | Viewed by 7729

Abstract

The effects of polyacrylamide (PAM) molecular weights (MWs) on the PAM adsorption capacities and PAM-mediated flocculation of kaolinite suspensions were investigated using a series of nonionic PAMs with different MWs. Adsorption tests using aqueous kaolinite suspensions dosed with a series of PAMs with [...] Read more.

The effects of polyacrylamide (PAM) molecular weights (MWs) on the PAM adsorption capacities and PAM-mediated flocculation of kaolinite suspensions were investigated using a series of nonionic PAMs with different MWs. Adsorption tests using aqueous kaolinite suspensions dosed with a series of PAMs with MWs of 1.5 kg/mol, 10 kg/mol, 0.6–1 Mg/mol, 5–6 Mg/mol, and 18 Mg/mol (referred to as 1.5 K, 10 K, 0.6–1 M, 5–6 M, and 18 M PAMs) indicated that the adsorption capacity of the kaolinite for PAM increased with increasing MW. However, the capacity for 18 M PAM was 20 times smaller than those for the 0.6–1 M and 5–6 M PAMs, although it has the highest MW. In steady-shear viscosity tests, a 1 g/L stock solution of 18 PAM was found to cause polymeric chain entanglements, which reduced the adsorption capacity. The 0.6–1 M and 5–6 M PAMs were further used in flocculation tests, in order to investigate the effect of PAM MW on the flocculation capability. The 5–6 M PAM was found to have higher flocculation capabilities than 0.6–1 M PAM; 5–6 M PAM was more subject to nonequilibrium flocculation, resulting in the development of unstable, stretched polymeric structures on solid surfaces and increasing particle-particle bridging and flocculation. Higher-MW PAMs are more effective flocculation agents, because of their higher adsorption capacities and flocculation capabilities. However, an extremely high-MW PAM, such as 18 M PAM, decreases adsorption/flocculation, and the preparation and handling of working solutions become difficult, because of polymeric chain entanglements. Full article

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18 pages, 561 KiB

Open AccessArticle

Spatial and Temporal Correlates of Greenhouse Gas Diffusion from a Hydropower Reservoir in the Southern United States

by Jennifer J. Mosher^1,*,†, Allison M. Fortner¹, Jana R. Phillips¹, Mark S. Bevelhimer¹, Arthur J. Stewart^2,‡ and Matthew J. Troia¹

¹ Oak Ridge National Laboratory Environmental Sciences Division, P.O. Box 2008, Oak Ridge, TN 37831-6351, USA

² Xcel Engineering Inc., 1066 Commerce Park Drive, Oak Ridge, TN 37830-0117, USA

^† Present address: Department of Biological Sciences, Marshall University, 1 John Marshall Drive, Huntington, WV 25755-2510, USA.

^‡ Present address: Science Education Program, Oak Ridge Associated Universities, P.O. Box 117, MS 36, Oak Ridge, TN 37831-0117, USA.

Water 2015, 7(11), 5910-5927; https://doi.org/10.3390/w7115910 - 29 Oct 2015

Cited by 24 | Viewed by 5969

Abstract

Emissions of CO₂ and CH₄ from freshwater reservoirs constitute a globally significant source of atmospheric greenhouse gases (GHGs), but knowledge gaps remain with regard to spatiotemporal drivers of emissions. We document the spatial and seasonal variation in surface diffusion of CO [...] Read more.

Emissions of CO₂ and CH₄ from freshwater reservoirs constitute a globally significant source of atmospheric greenhouse gases (GHGs), but knowledge gaps remain with regard to spatiotemporal drivers of emissions. We document the spatial and seasonal variation in surface diffusion of CO₂ and CH₄ from Douglas Lake, a hydropower reservoir in Tennessee, USA. Monthly estimates across 13 reservoir sites from January to November 2010 indicated that surface diffusions ranged from 236 to 18,806 mg·m⁻²·day⁻¹ for CO₂ and 0 to 0.95 mg·m⁻²·day⁻¹ for CH₄. Next, we developed statistical models using spatial and physicochemical variables to predict surface diffusions of CO₂ and CH₄. Models explained 22.7% and 20.9% of the variation in CO₂ and CH₄ diffusions respectively, and identified pH, temperature, dissolved oxygen, and Julian day as the most informative predictors. These findings provide baseline estimates of GHG emissions from a reservoir in eastern temperate North America, a region for which estimates of reservoir GHGs emissions are limited. Our statistical models effectively characterized non-linear and threshold relationships between physicochemical predictors and GHG emissions. Further refinement of such modeling approaches will aid in predicting current GHG emissions from unsampled reservoirs and forecasting future GHG emissions. Full article

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31 pages, 936 KiB

Open AccessArticle

A Dynamic, Multivariate Sustainability Measure for Robust Analysis of Water Management under Climate and Demand Uncertainty in an Arid Environment

by Christian Hunter^1,2,3,*, Jorge Gironás^1,2,4,5,†

, Diogo Bolster^3,† and Christos A. Karavitis^6,†

¹ Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna, Santiago 4860, Chile

² Centro de Desarrollo Urbano Sustentable (CEDEUS), Av. Vicuña Mackenna, Santiago 4860, Chile

³ Civil Engineering, Environmental and Earth Sciences Department (CEEES), University of Notre Dame, Notre Dame, IN 46556, USA

⁴ Centro Interdisciplinario de Cambio Global, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna, Santiago 4860, Chile

⁵ Centro de Investigación para la Gestión Integrada de Desastres Naturales (CIGIDEN), Av. Vicuña Mackenna, Santiago 4860, Chile

⁶ Department of Natural Resources Management & Agricultural Engineering, Agricultural University of Athens, Iera Odos 75, Athens 118 55, Greece

^† These authors contributed equally to this work.

Water 2015, 7(11), 5928-5958; https://doi.org/10.3390/w7115928 - 30 Oct 2015

Cited by 13 | Viewed by 9051

Abstract

Considering water resource scarcity and uncertainty in climate and demand futures, decision-makers require techniques for sustainability analysis in resource management. Through unclear definitions of “sustainability”, however, traditional indices for resource evaluation propose options of limited flexibility by adopting static climate and demand scenarios, [...] Read more.

Considering water resource scarcity and uncertainty in climate and demand futures, decision-makers require techniques for sustainability analysis in resource management. Through unclear definitions of “sustainability”, however, traditional indices for resource evaluation propose options of limited flexibility by adopting static climate and demand scenarios, limiting analysis variables to a particular water-use group and time. This work proposes a robust, multivariate, dynamic sustainability evaluation technique and corresponding performance indicator called Measure of Sustainability (MoS) for resource management that is more adapted to withstand future parameter variation. The range of potential future climate and demand scenarios is simulated through a calibrated hydrological model of Copiapó, Chile, a case study example of an arid watershed under extreme natural and anthropogenic water stresses. Comparing MoS and cost rankings of proposed water management schemes, this paper determines that the traditional evaluation method not only underestimates future water deficits, but also espouses solutions without considering uncertainties in supply and demand. Given the uncertainty of the future and the dependence of resources upon climate and market trajectories, the MoS methodology proposes solutions that, while perhaps are not the most optimal, are robust to variations in future parameter values and are thus the best water management options in a stochastic natural world. Full article

(This article belongs to the Special Issue Hydrologic System Analysis, Patterns, and Predictions for Arid and Semi-arid Environment)

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27 pages, 2962 KiB

Open AccessArticle

Simulation of Groundwater-Surface Water Interactions under Different Land Use Scenarios in the Bulang Catchment, Northwest China

by Zhi Yang^1,2,3,*, Yangxiao Zhou²

, Jochen Wenninger^2,4, Stefan Uhlenbrook^2,4 and Li Wan¹

¹ School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 10083, China

² UNESCO-IHE Institute for Water Education, PO Box 3015, Delft 2601 DA, The Netherlands

³ Institute of Huai River Water Resources Protection, Bengbu 233001, China

⁴ Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft University of Technology, PO Box 5048, Delft 2600 GA, The Netherlands

Water 2015, 7(11), 5959-5985; https://doi.org/10.3390/w7115959 - 30 Oct 2015

Cited by 10 | Viewed by 7024

Abstract

Groundwater is the most important resource for local society and the ecosystem in the semi-arid Hailiutu River catchment. The catchment water balance was analyzed by considering vegetation types with the Normalized Difference Vegetation Index (NDVI), determining evapotranspiration rates by combining sap flow measurements [...] Read more.

Groundwater is the most important resource for local society and the ecosystem in the semi-arid Hailiutu River catchment. The catchment water balance was analyzed by considering vegetation types with the Normalized Difference Vegetation Index (NDVI), determining evapotranspiration rates by combining sap flow measurements and NDVI values, recorded precipitation, measured river discharge and groundwater levels from November 2010 to October 2011. A simple water balance computation, a steady state groundwater flow model, and a transient groundwater flow model were used to assess water balance changes under different land use scenarios. It was shown that 91% of the precipitation is consumed by the crops, bushes and trees; only 9% of the annual precipitation becomes net groundwater recharge which maintains a stable stream discharge in observed year. Four land use scenarios were formulated for assessing the impacts of land use changes on the catchment water balance, the river discharge, and groundwater storage in the Bulang catchment. The scenarios are: (1) the quasi natural state of the vegetation covered by desert grasses; (2) the current land use/vegetation types; (3) the change of crop types to dry resistant crops; and (4) the ideal land use covered by dry resistant crops and desert grasses, These four scenarios were simulated and compared with measured data from 2011, which was a dry year. Furthermore, the scenarios (2) and (4) were evaluated under normal and wet conditions for years in 2009 and 2014, respectively. The simulation results show that replacing current vegetation and crop types with dry resistant types can significantly increase net groundwater recharge which leads to the increase of groundwater storage and river discharges. The depleted groundwater storage during the dry year could be restored during the normal and wet years so that groundwater provides a reliable resource to sustain river discharge and the dependent vegetations in the area. Full article

(This article belongs to the Special Issue Water Resources Assessment and Management in Drylands)

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31 pages, 7908 KiB

Open AccessArticle

An Unstructured Numerical Model to Study Wind-Driven Circulation Patterns in a Managed Coastal Mediterranean Wetland: The Vaccarès Lagoon System

by Olivier Boutron^1,*, Olivier Bertrand², Annie Fiandrino³, Patrick Höhener⁴, Alain Sandoz^1,5, Yves Chérain⁶, Eric Coulet⁶ and Philippe Chauvelon¹

¹ Fondation Tour du Valat, Centre de Recherche Pour la Conservation des Zones Humides Méditerranéennes, Le Sambuc, Arles 13200, France

² ARTELIA, 6 Rue de Lorraine, Echirolles 38130, France

³ Ifremer, Rue Jean Monnet, BP 171, Sète 34203, France

⁴ Laboratoire Chimie Environnement, Université d’Aix Marseille, 3 Place Victor Hugo, Marseille Cedex 3 13331, France

⁵ UFR Sciences, Université d’Aix Marseille, 3 Place Victor Hugo, Marseille Cedex 3 13331, France

⁶ SNPN, Centre d’Information de la Réserve Nationale de Camargue, La Capelière, Arles 13200, France

Water 2015, 7(11), 5986-6016; https://doi.org/10.3390/w7115986 - 30 Oct 2015

Cited by 12 | Viewed by 6195

Abstract

The spatiotemporal structure of wind-driven circulation patterns and associated water exchanges can drive important bio-hydrodynamic interactions in shallow lagoons. The Vaccarès lagoon system is a complex shallow hydrosystem located in the central part of the Rhône Delta (France). It is internationally recognized as [...] Read more.

The spatiotemporal structure of wind-driven circulation patterns and associated water exchanges can drive important bio-hydrodynamic interactions in shallow lagoons. The Vaccarès lagoon system is a complex shallow hydrosystem located in the central part of the Rhône Delta (France). It is internationally recognized as part of a biosphere reserve within the framework of UNESCO’s Man and Biosphere Programme, and as a RAMSAR site. Due to its frequent occurrence in this area, and considering the shallowness of the Vaccarès lagoon system, wind is assumed to play a major role in the hydrodynamic and biological processes. In this study, a hydrodynamic model was developed to investigate the structure of wind-driven circulations in the Vaccarès lagoon system, to provide insights into their role in transport and water exchange processes. The implementation and assessment (calibration and validation) of the model is presented first. Simulations were then performed for two typical steady wind conditions and for one measured unsteady wind event. The results illustrate the influence of the complex geometry of the Vaccarès lagoon system on the wind-driven circulations, and the differences observed between the different sub-lagoons in this system. The differences in wind-induced water exchanges between these sub-lagoons are also discussed. Full article

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22 pages, 2584 KiB

Open AccessArticle

Estimation of Rainfall Associated with Typhoons over the Ocean Using TRMM/TMI and Numerical Models

by Nan-Ching Yeh¹, Chung-Chih Liu^2,* and Wann-Jin Chen³

¹ Department of Aircraft Engineering, Air Force Institute of Technology, Kaohsiung 82047, Taiwan

² Natural Sciences Teaching Center, Minghsin University of Science and Technology, Hsinchu 30401, Taiwan

³ Department of Electronic Engineering, Ta Hwa University of Science and Technology, Hsinchu 30740, Taiwan

Water 2015, 7(11), 6017-6038; https://doi.org/10.3390/w7116017 - 3 Nov 2015

Cited by 4 | Viewed by 5469

Abstract

This study quantitatively estimated the precipitation associated with a typhoon in the northwestern Pacific Ocean by using a physical algorithm which included the Weather Research and Forecasting model, Radiative Transfer for TIROS Operational Vertical Sounder model, and data from the Tropical Rainfall Measuring [...] Read more.

This study quantitatively estimated the precipitation associated with a typhoon in the northwestern Pacific Ocean by using a physical algorithm which included the Weather Research and Forecasting model, Radiative Transfer for TIROS Operational Vertical Sounder model, and data from the Tropical Rainfall Measuring Mission (TRMM)/TRMM Microwave Imager (TMI) and TRMM/Precipitation Radar (PR). First, a prior probability distribution function (PDF) was constructed using over three million rain rate retrievals from the TRMM/PR data for the period 2002–2010 over the northwestern Pacific Ocean. Subsequently, brightness temperatures for 15 typhoons that occurred over the northwestern Pacific Ocean were simulated using a microwave radiative transfer model and a conditional PDF was obtained for these typhoons. The aforementioned physical algorithm involved using a posterior PDF. A posterior PDF was obtained by combining the prior and conditional PDFs. Finally, the rain rate associated with a typhoon was estimated by inputting the observations of the TMI (attenuation indices at 10, 19, 37 GHz) into the posterior PDF (lookup table). Results based on rain rate retrievals indicated that rainband locations with the heaviest rainfall showed qualitatively similar horizontal distributions. The correlation coefficient and root-mean-square error of the rain rate estimation were 0.63 and 4.45 mm·h⁻¹, respectively. Furthermore, the correlation coefficient and root-mean-square error for convective rainfall were 0.78 and 7.25 mm·h⁻¹, respectively, and those for stratiform rainfall were 0.58 and 9.60 mm·h⁻¹, respectively. The main contribution of this study is introducing an approach to quickly and accurately estimate the typhoon precipitation, and remove the need for complex calculations. Full article

(This article belongs to the Special Issue Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling)

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17 pages, 4512 KiB

Open AccessArticle

Remote Sensing Based Analysis of Recent Variations in Water Resources and Vegetation of a Semi-Arid Region

by Shaowei Ning^1,*, Hiroshi Ishidaira¹, Parmeshwar Udmale¹

and Yutaka Ichikawa²

¹ International Research Center for River Basin Environment (ICRE), University of Yamanashi, Takeda 4-3-11, Kofu, Yamanashi 400-8511, Japan

² Department of Civil and Earth Resources Engineering, Kyoto University, C1, Kyoto-Daigaku-Katsura, Nishikyo-ku, Kyoto-shi, Kyoto 615-8540, Japan

Water 2015, 7(11), 6039-6055; https://doi.org/10.3390/w7116039 - 3 Nov 2015

Cited by 9 | Viewed by 6294

Abstract

This study is designed to demonstrate use of free remote sensing data to analyze response of water resources and grassland vegetation to a climate change induced prolonged drought in a sparsely gauged semi-arid region. Water resource changes over Hulun Lake region derived from [...] Read more.

This study is designed to demonstrate use of free remote sensing data to analyze response of water resources and grassland vegetation to a climate change induced prolonged drought in a sparsely gauged semi-arid region. Water resource changes over Hulun Lake region derived from monthly Gravity Recovery and Climate Experiment (GRACE) and Tropical Rainfall Measuring Mission (TRMM) products were analyzed. The Empirical Orthogonal Functions (EOF) analysis results from both GRACE and TRMM showed decreasing trends in water storage changes and precipitation over 2002 to 2007 and increasing trends after 2007 to 2012. Water storage and precipitation changes on the spatial and temporal scale showed a very consistent pattern. Further analysis proved that water storage changes were mainly caused by precipitation and temperature changes in this region. It is found that a large proportion of grassland vegetation recovered to its normal state after above average rainfall in the following years (2008–2012) and only a small proportion of grassland vegetation (16.5% of the study area) is degraded and failed to recover. These degraded grassland vegetation areas are categorized as ecologically vulnerable to climate change and protective strategies should be designed to prevent its further degradation. Full article

(This article belongs to the Special Issue Water Resource Variability and Climate Change)

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23 pages, 1039 KiB

Open AccessArticle

An Advanced Method to Apply Multiple Rainfall Thresholds for Urban Flood Warnings

by Jiun-Huei Jang

National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan

Water 2015, 7(11), 6056-6078; https://doi.org/10.3390/w7116056 - 3 Nov 2015

Cited by 31 | Viewed by 7231

Abstract

Issuing warning information to the public when rainfall exceeds given thresholds is a simple and widely-used method to minimize flood risk; however, this method lacks sophistication when compared with hydrodynamic simulation. In this study, an advanced methodology is proposed to improve the warning [...] Read more.

Issuing warning information to the public when rainfall exceeds given thresholds is a simple and widely-used method to minimize flood risk; however, this method lacks sophistication when compared with hydrodynamic simulation. In this study, an advanced methodology is proposed to improve the warning effectiveness of the rainfall threshold method for urban areas through deterministic-stochastic modeling, without sacrificing simplicity and efficiency. With regards to flooding mechanisms, rainfall thresholds of different durations are divided into two groups accounting for flooding caused by drainage overload and disastrous runoff, which help in grading the warning level in terms of emergency and severity when the two are observed together. A flood warning is then classified into four levels distinguished by green, yellow, orange, and red lights in ascending order of priority that indicate the required measures, from standby, flood defense, evacuation to rescue, respectively. The proposed methodology is tested according to 22 historical events in the last 10 years for 252 urbanized townships in Taiwan. The results show satisfactory accuracy in predicting the occurrence and timing of flooding, with a logical warning time series for taking progressive measures. For systems with multiple rainfall thresholds already in place, the methodology can be used to ensure better application of rainfall thresholds in urban flood warnings. Full article

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18 pages, 2284 KiB

Open AccessArticle

Sediment Trapping by Emerged Channel Bars in the Lowermost Mississippi River during a Major Flood

by Bo Wang and Y. Jun Xu^*

School of Renewable Natural Resources, Louisiana State University Agricultural Center, 227 Highland Road, Baton Rouge, LA 70803, USA

Water 2015, 7(11), 6079-6096; https://doi.org/10.3390/w7116079 - 4 Nov 2015

Cited by 21 | Viewed by 7152

Abstract

The formation of channel bars has been recognized as the most significant sediment response to the highly trained Mississippi River (MR). However, no quantitative study exists on the dynamics of emerged channel bars and associated sediment accumulation in the last 500-kilometer reach of [...] Read more.

The formation of channel bars has been recognized as the most significant sediment response to the highly trained Mississippi River (MR). However, no quantitative study exists on the dynamics of emerged channel bars and associated sediment accumulation in the last 500-kilometer reach of the MR from the Gulf of Mexico outlet, also known as the lowermost Mississippi River. Such knowledge is especially critical for riverine sediment management to impede coastal land loss in the Mississippi River Delta. In this study, we utilized a series of satellite images taken from August 2010 to January 2012 to assess the changes in surface area and volume of three large emerged channel bars in the lowermost MR following an unprecedented spring flood in 2011. River stage data were collected to develop a rating curve of surface areas detected by satellite images with flow conditions for each of the three bars. A uniform geometry associated with the areal change was assumed to estimate the bar volume changes. Our study reveals that the 2011 spring flood increased the surface area of the bars by 3.5% to 11.1%, resulting in a total surface increase of 7.3%, or 424,000 m². Based on the surface area change, we estimated a total bar volume increase of 4.4%, or 1,219,900 m³. This volume increase would be equivalent to a sediment trapping of approximately 1.0 million metric tons, assuming a sediment bulk density of 1.2 metric tons per cubic meter. This large quantity of sediment is likely an underestimation because of the neglect of subaqueous bar area change and the assumption of a uniform geometry in volume estimation. Nonetheless, the results imply that channel bars in the lowermost MR are capable of capturing a substantial amount of sediment during floods, and that a thorough assessment of their long-term change can provide important insights into sediment trapping in the lowermost MR as well as the feasibility of proposed river sediment diversions. Full article

(This article belongs to the Special Issue Resilience and Sustainability of the Mississippi River Delta as a Coupled Natural-Human System)

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20 pages, 1391 KiB

Open AccessArticle

Analysis of Sources and Sinks of Mercury in the Urban Water Cycle of Frankfurt am Main, Germany

by Imke Fricke^1,*, Rolf Götz², Ruprecht Schleyer³ and Wilhelm Püttmann¹

¹ Department of Environmental Analytical Chemistry, Institute of Atmospheric and Environmental Sciences, J.W. Goethe University Frankfurt am Main, Altenhöferallee 1, Frankfurt am Main 60438, Germany

² Stadtentwässerung Frankfurt am Main, Goldsteinstraße 160, Frankfurt am Main 60528, Germany

³ Umweltbundesamt, Paul-Ehrlich-Str. 29, Langen 63225, Germany

Water 2015, 7(11), 6097-6116; https://doi.org/10.3390/w7116097 - 4 Nov 2015

Cited by 13 | Viewed by 7788

Abstract

Mercury (Hg) is still a focus of environmental research, since its levels in fish frequently exceed the Environmental Quality Standard (EQS) of 20 µg/kg for biota defined by the European Water Framework Directive (Directive 2008/105/EC). Current Hg levels in Abramis brama from German [...] Read more.

Mercury (Hg) is still a focus of environmental research, since its levels in fish frequently exceed the Environmental Quality Standard (EQS) of 20 µg/kg for biota defined by the European Water Framework Directive (Directive 2008/105/EC). Current Hg levels in Abramis brama from German rivers are in the range of 73–346 µg/kg wet weight (2009) and exceed the EQS by a factor of 3.7–17.3. Therefore, it is important to identify the sources of Hg pollution in the aquatic environment and to develop effective strategies for reducing the input into associated river systems. The aim of the present study was to analyze Hg in the urban water cycle of the city of Frankfurt am Main, Germany. Samples were taken from the river Main crosscutting the city and its tributaries. In addition, precipitation, stormwater runoff, effluents of two municipal WWTPs, and stormwater management structures such as combined sewer overflows and stormwater retention basins have been analyzed. Loads of Hg have been determined based on the measured concentrations and a Hg mass balance for the aquatic system was created. A total of 160 water samples were analyzed by cold vapor atomic fluorescence spectroscopy (CVAFS) according to US EPA Method 1631. Results from the mass balance have shown that approximately 5 kg Hg/a enter and 15 kg Hg/a leave the study area of Frankfurt am Main via the river Main. The largest amount of Hg (24.58 kg/a) throughout the urban water cycle of Frankfurt am Main is transported via wastewater. However, municipal WWTPs in Frankfurt am Main have been identified as the largest Hg sink, since 99.7% (24.5 kg/a) of the Hg is shifted from the sewage water and stormwater during treatment into the sewage sludge. Thus, the increase of the Hg load in the river Main from 5 to 15 kg/a has to be attributed to other sources such as 3 industrial WWTPs, groundwater and non-treated stormwater runoff during heavy rain events. Full article

(This article belongs to the Special Issue Urban Water Challenges)

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22 pages, 1133 KiB

Open AccessArticle

Multiple Time-Scale Monitoring to Address Dynamic Seasonality and Storm Pulses of Stream Water Quality in Mountainous Watersheds

by Hyun-Ju Lee¹, Kun-Woo Chun², Christopher L. Shope³ and Ji-Hyung Park^4,*

¹ Department of Forest Environment Protection, College of Forest & Environmental Sciences, Kangwon National University, Chuncheon 200-701, Korea

² Department of Forest Resources, College of Forest & Environmental Sciences, Kangwon National University, Chuncheon 200-701, Korea

³ Department of Hydrology, University of Bayreuth, Bayreuth D-95440, Germany

⁴ Department of Environmental Science & Engineering, Ewha Womans University, Seoul 120-750, Korea

Water 2015, 7(11), 6117-6138; https://doi.org/10.3390/w7116117 - 4 Nov 2015

Cited by 9 | Viewed by 6550

Abstract

Rainfall variability and extreme events can amplify the seasonality and storm pulses of stream water chemistry in mountainous watersheds under monsoon climates. To establish a monitoring program optimized for identifying potential risks to stream water quality arising from rainfall variability and extremes, we [...] Read more.

Rainfall variability and extreme events can amplify the seasonality and storm pulses of stream water chemistry in mountainous watersheds under monsoon climates. To establish a monitoring program optimized for identifying potential risks to stream water quality arising from rainfall variability and extremes, we examined water chemistry data collected on different timescales. At a small forested watershed, bi-weekly sampling lasted over two years, in comparison to three other biweekly sampling sites. In addition, high-frequency continuous measurements of pH, electrical conductivity, and turbidity were conducted in tandem with automatic water sampling at 2 h intervals during eight rainfall events. Biweekly monitoring showed that during the summer monsoon period, electrical conductivity (EC), dissolved oxygen (DO), and dissolved ion concentrations generally decreased, but total suspended solids (TSS) slightly increased. A noticeable variation from the usual seasonal pattern was that DO levels substantially decreased during an extended drought. Bi-hourly storm event samplings exhibited large changes in the concentrations of TSS and particulate and dissolved organic carbon (POC; DOC) during intense rainfall events. However, extreme fluctuations in sediment export during discharge peaks could be detected only by turbidity measurements at 5 min intervals. Concomitant measurements during rainfall events established empirical relationships between turbidity and TSS or POC. These results suggest that routine monitoring based on weekly to monthly sampling is valid only in addressing general seasonal patterns or long-lasting phenomena such as drought effects. We propose an “adaptive” monitoring scheme that combines routine monitoring for general seasonal patterns and high-frequency instrumental measurements of water quality components exhibiting rapid responses pulsing during intense rainfall events. Full article

(This article belongs to the Special Issue Ecological Monitoring, Assessment, and Management in Freshwater Systems)

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34 pages, 19222 KiB

Open AccessArticle

Impacts of Climate Change on the Hydrological Regime of the Danube River and Its Tributaries Using an Ensemble of Climate Scenarios

by Judith C. Stagl^* and Fred F. Hattermann

Potsdam Institute for Climate Impact Research, Germany, P.O. Box 60 12 03, Potsdam 14412, Germany

Water 2015, 7(11), 6139-6172; https://doi.org/10.3390/w7116139 - 4 Nov 2015

Cited by 60 | Viewed by 15289

Abstract

Information about the potential impacts of climate change on river runoff is needed to prepare efficient adaptation strategies. This study presents scenario projections for the future hydrological runoff regime in the Danube River Basin. The eco-hydrological watershed model Soil and Water Integrated Model [...] Read more.

Information about the potential impacts of climate change on river runoff is needed to prepare efficient adaptation strategies. This study presents scenario projections for the future hydrological runoff regime in the Danube River Basin. The eco-hydrological watershed model Soil and Water Integrated Model (SWIM) was applied for the entire Danube River catchment, considering 1224 subbasins. After calibration and validation of the model, a set of high-resolution climate projections (bias-corrected and non-bias-corrected) served as meteorological drivers with which future daily river discharge under different climate warming scenario conditions was simulated. Despite existing uncertainties, robust trends could be identified. In the next 30 years, the seasonal stream-flow regime of the Danube and its tributaries is projected to change considerably. Our results show a general trend towards a decrease in summer runoff for the whole Danube basin and, additionally, in autumn runoff for the Middle and Lower Danube basin, aggravating the existing low flow periods. For the winter and early spring seasons, mainly January–March, an increase in river runoff is projected. Greater uncertainties show up in particular for winter runoff in the Dinaric Alps and the Lower Danube basin. The existing trends become very distinct until the end of the 21st century, especially for snow-influenced river regimes. Full article

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17 pages, 909 KiB

Open AccessArticle

Performance Assessment of Hydrological Models Considering Acceptable Forecast Error Threshold

by Qianjin Dong^1,2,* and Fan Lu³

¹ State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

² Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China

³ Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Water 2015, 7(11), 6173-6189; https://doi.org/10.3390/w7116173 - 4 Nov 2015

Cited by 5 | Viewed by 5746

Abstract

It is essential to consider the acceptable threshold in the assessment of a hydrological model because of the scarcity of research in the hydrology community and errors do not necessarily cause risk. Two forecast errors, including rainfall forecast error and peak flood forecast [...] Read more.

It is essential to consider the acceptable threshold in the assessment of a hydrological model because of the scarcity of research in the hydrology community and errors do not necessarily cause risk. Two forecast errors, including rainfall forecast error and peak flood forecast error, have been studied based on the reliability theory. The first order second moment (FOSM) and bound methods are used to identify the reliability. Through the case study of the Dahuofang (DHF) Reservoir, it is shown that the correlation between these two errors has great influence on the reliability index of hydrological model. In particular, the reliability index of the DHF hydrological model decreases with the increasing correlation. Based on the reliability theory, the proposed performance evaluation framework incorporating the acceptable forecast error threshold and correlation among the multiple errors can be used to evaluate the performance of a hydrological model and to quantify the uncertainties of a hydrological model output. Full article

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14 pages, 410 KiB

Open AccessArticle

Mealworms for Food: A Water Footprint Perspective

by Pier Paolo Miglietta^†

, Federica De Leo^*,†, Marcello Ruberti^† and Stefania Massari^†

¹ Department of Management, Economics, Mathematics and Statistics, University of Salento, via per Monteroni, Lecce 73100, Italy

^† These authors contributed equally to this work.

Water 2015, 7(11), 6190-6203; https://doi.org/10.3390/w7116190 - 6 Nov 2015

Cited by 165 | Viewed by 28760

Abstract

In this paper, we have explored the possibility of substituting traditional meat products with an alternative source of protein (insects) in order to reduce human pressure on water. Insects, in fact, could represent a good alternative source of quality proteins and nutrients and [...] Read more.

In this paper, we have explored the possibility of substituting traditional meat products with an alternative source of protein (insects) in order to reduce human pressure on water. Insects, in fact, could represent a good alternative source of quality proteins and nutrients and they are already a very popular component of the diet of one third of the world’s population in approximately 80% of countries. In the study, we have taken into account only two species of edible insects (Tenebrio molitor and Zophobas morio mealworms), because they are already commercially produced even in Western countries, and for this reason it is possible to find specific data in literature about their diets. We have used the water footprint (WF) as a reliable indicator to calculate the volume of water required for production and to compare different products. The final aim of the work is, in fact, to evaluate the WF of the production of edible insects with a focus on water consumption associated with protein content, in order to make a comparison with other animal protein sources. We have demonstrated that, from a freshwater resource perspective, it is more efficient to obtain protein through mealworms rather than other traditional farmed animals. Full article

(This article belongs to the Special Issue Sustainable Water Consumption)

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24 pages, 1794 KiB

Open AccessArticle

Spatial Modeling of Rainfall Patterns over the Ebro River Basin Using Multifractality and Non-Parametric Statistical Techniques

by José L. Valencia^1,*, Ana M. Tarquis^2,3, Antonio Saa^3,4, María Villeta¹ and José M. Gascó⁴

¹ Department of Statistics and Operation Research III, Faculty of Statistical Studies, Complutense University of Madrid (UCM), Avenida Puerta de Hierro 1, Madrid E28040, Spain

² Department of Applied Mathematics, ETS Agronomic Engineers, Polytechnic University of Madrid (UPM), Avenida Puerta de Hierro 2, Madrid E28040, Spain

³ Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM), Polytechnic University of Madrid (UPM), Calle Senda del Rey 13, Madrid E28040, Spain

⁴ Department of Agricultural Production, ETS Agronomic Engineers, Polytechnic University of Madrid (UPM), Avenida Puerta de Hierro 2, Madrid E28040, Spain

Water 2015, 7(11), 6204-6227; https://doi.org/10.3390/w7116204 - 6 Nov 2015

Cited by 8 | Viewed by 6979

Abstract

Rainfall, one of the most important climate variables, is commonly studied due to its great heterogeneity, which occasionally causes negative economic, social, and environmental consequences. Modeling the spatial distributions of rainfall patterns over watersheds has become a major challenge for water resources management. [...] Read more.

Rainfall, one of the most important climate variables, is commonly studied due to its great heterogeneity, which occasionally causes negative economic, social, and environmental consequences. Modeling the spatial distributions of rainfall patterns over watersheds has become a major challenge for water resources management. Multifractal analysis can be used to reproduce the scale invariance and intermittency of rainfall processes. To identify which factors are the most influential on the variability of multifractal parameters and, consequently, on the spatial distribution of rainfall patterns for different time scales in this study, universal multifractal (UM) analysis—C₁, α, and γ_s UM parameters—was combined with non-parametric statistical techniques that allow spatial-temporal comparisons of distributions by gradients. The proposed combined approach was applied to a daily rainfall dataset of 132 time-series from 1931 to 2009, homogeneously spatially-distributed across a 25 km × 25 km grid covering the Ebro River Basin. A homogeneous increase in C₁ over the watershed and a decrease in α mainly in the western regions, were detected, suggesting an increase in the frequency of dry periods at different scales and an increase in the occurrence of rainfall process variability over the last decades. Full article

(This article belongs to the Special Issue New Developments in Methods for Hydrological Process Understanding)

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16 pages, 843 KiB

Open AccessArticle

Parameterization of Time-Averaged Suspended Sediment Concentration in the Nearshore

by Hyun-Doug Yoon^1,*, Daniel Cox² and Nobuhito Mori³

¹ Department of Civil and Environmental Engineering, Myongji University, Gyeonggi-do, Yongin 449-728, Korea

² School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA

³ Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto 611-0011, Japan

Water 2015, 7(11), 6228-6243; https://doi.org/10.3390/w7116228 - 6 Nov 2015

Cited by 8 | Viewed by 5438

Abstract

To quantify the effect of wave breaking turbulence on sediment transport in the nearshore, the vertical distribution of time-averaged suspended sediment concentration (SSC) in the surf zone was parameterized in terms of the turbulent kinetic energy (TKE) at different cross-shore locations, including the [...] Read more.

To quantify the effect of wave breaking turbulence on sediment transport in the nearshore, the vertical distribution of time-averaged suspended sediment concentration (SSC) in the surf zone was parameterized in terms of the turbulent kinetic energy (TKE) at different cross-shore locations, including the bar crest, bar trough, and inner surf zone. Using data from a large-scale laboratory experiment, a simple relationship was developed between the time-averaged SSC and the time-averaged TKE. The vertical variation of the time-averaged SSC was fitted to an equation analogous to the turbulent dissipation rate term. At the bar crest, the proposed equation was slightly modified to incorporate the effect of near-bed sediment processes and yielded reasonable agreement. This parameterization yielded the best agreement at the bar trough, with a coefficient of determination R2 ≥ 0.72 above the bottom boundary layer. The time-averaged SSC in the inner surf zone showed good agreement near the bed but poor agreement near the water surface, suggesting that there is a different sedimentation mechanism that controls the SSC in the inner surf zone. Full article

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25 pages, 8221 KiB

Open AccessArticle

Sensitivity Analysis of Flow and Temperature Distributions of Density Currents in a River-Reservoir System under Upstream Releases with Different Durations

by Gang Chen and Xing Fang^*

Department of Civil Engineering, Auburn University, Auburn, AL 36849-5337, USA

Water 2015, 7(11), 6244-6268; https://doi.org/10.3390/w7116244 - 6 Nov 2015

Cited by 17 | Viewed by 6923

Abstract

A calibrated three-dimensional Environmental Fluid Dynamics Code model was applied to simulate unsteady flow patterns and temperature distributions in the Bankhead river-reservoir system in Alabama, USA. A series of sensitivity model runs were performed under daily repeated large releases (DRLRs) with different durations [...] Read more.

A calibrated three-dimensional Environmental Fluid Dynamics Code model was applied to simulate unsteady flow patterns and temperature distributions in the Bankhead river-reservoir system in Alabama, USA. A series of sensitivity model runs were performed under daily repeated large releases (DRLRs) with different durations (2, 4 and 6 h) from Smith Dam Tailrace (SDT) when other model input variables were kept unchanged. The density currents in the river-reservoir system form at different reaches, are destroyed at upstream locations due to the flow momentum of the releases, and form again due to solar heating. DRLRs (140 m³/s) with longer durations push the bottom cold water further downstream and maintain a cooler bottom water temperature. For the 6-h DRLR, the momentum effect definitely reaches Cordova (~43.7 km from SDT). Positive bottom velocity (density currents moving downstream) is achieved 48.4%, 69.0% and 91.1% of the time with an average velocity of 0.017, 0.042 and 0.053 m/s at Cordova for the 2-h, 4-h and 6-h DRLR, respectively. Results show that DRLRs lasting for at least 4 h maintain lower water temperatures at Cordova. When the 4-h and 6-h DRLRs repeat for more than 6 and 10 days, respectively, bottom temperatures at Cordova become lower than those for the constant small release (2.83 m³/s). These large releases overwhelm the mixing effects due to inflow momentum and maintain temperature stratification at Cordova. Full article

(This article belongs to the Special Issue New Developments in Methods for Hydrological Process Understanding)

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16 pages, 366 KiB

Open AccessArticle

Chinese State-Owned Enterprise Investment in Mekong Hydropower: Political and Economic Drivers and Their Implications across the Water, Energy, Food Nexus

by Nathanial Matthews^1,* and Stew Motta²

¹ CGIAR Research Program on Water, Land and Ecosystems, Colombo 10120, Sri Lanka

² CGIAR Research Program on Water, Land and Ecosystems, Vientiane 01000, Lao PDR

Water 2015, 7(11), 6269-6284; https://doi.org/10.3390/w7116269 - 6 Nov 2015

Cited by 42 | Viewed by 12141

Abstract

Over the last decade, Chinese State-Owned Enterprises have emerged as among the most active investors in Mekong Basin hydropower development. This paper uses a political economy analysis to examine the forces that drive Chinese State-Owned Enterprises to invest in hydropower in the Mekong [...] Read more.

Over the last decade, Chinese State-Owned Enterprises have emerged as among the most active investors in Mekong Basin hydropower development. This paper uses a political economy analysis to examine the forces that drive Chinese State-Owned Enterprises to invest in hydropower in the Mekong Basin. We focus our analysis on the Lancang (Upper Mekong River) in China and in the Greater Mekong Subregion (GMS), with an emphasis on Cambodia. The analysis reveals how powerful political and economic forces from within China and the GMS influence the pace, location and scale of investments in hydropower. These forces include foreign exchange reserves, trade packages and foreign direct investment, and political alliances. Combining the political economy and nexus approaches, we conclude that although policies from China recognize interconnections across the nexus, political and economic forces craft narratives that downplay or disregard these nexus interconnections and trade-offs. This in turn, influences how trade-offs and interconnections in hydropower development are managed and recognized in both local and transboundary contexts, thereby, creating potentially significant negative impacts on livelihoods, food security and the environment. Full article

(This article belongs to the Special Issue Water-Energy-Food Nexus in Large Asian River Basins)

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16 pages, 838 KiB

Open AccessArticle

Designing Rainwater Harvesting Systems Cost-Effectively in a Urban Water-Energy Saving Scheme by Using a GIS-Simulation Based Design System

by Yie-Ru Chiu¹, Yao-Lung Tsai^2,* and Yun-Chih Chiang³

¹ Center for General Education, Tzu-Chi University, No.701, Zhongyang Rd., Sec.3, Hualien 97004, Taiwan

² Department of Leisure and Recreation Studies, Aletheia University, No.70-11 Pei-Shi Liao, Matou, Tainan 72147, Taiwan

³ Center for General Education, Tzu-Chi University, No.701, Zhongyang Rd., Sec.3, Hualien 97004, Taiwan

Water 2015, 7(11), 6285-6300; https://doi.org/10.3390/w7116285 - 10 Nov 2015

Cited by 38 | Viewed by 14209

Abstract

Current centralized urban water supply depends largely on energy consumption, creating critical water-energy challenge especially for many rapid growing Asian cities. In this context, harvesting rooftop rainwater for non-potable use has enormous potential to ease the worsening water-energy issue. For this, we propose [...] Read more.

Current centralized urban water supply depends largely on energy consumption, creating critical water-energy challenge especially for many rapid growing Asian cities. In this context, harvesting rooftop rainwater for non-potable use has enormous potential to ease the worsening water-energy issue. For this, we propose a geographic information system (GIS)-simulation-based design system (GSBDS) to explore how rainwater harvesting systems (RWHSs) can be systematically and cost-effectively designed as an innovative water-energy conservation scheme on a city scale. This GSBDS integrated a rainfall data base, water balance model, spatial technologies, energy-saving investigation, and economic feasibility analysis based on a case study of eight communities in the Taipei metropolitan area, Taiwan. Addressing both the temporal and spatial variations in rainfall, the GSBDS enhanced the broad application of RWHS evaluations. The results indicate that the scheme is feasible based on the optimal design when both water and energy-savings are evaluated. RWHSs were observed to be cost-effective and facilitated 21.6% domestic water-use savings, and 138.6 (kWh/year-family) energy-savings. Furthermore, the cost of per unit-energy-saving is lower than that from solar PV systems in 85% of the RWHS settings. Hence, RWHSs not only enable water-savings, but are also an alternative renewable energy-saving approach that can address the water-energy dilemma caused by rapid urbanization. Full article

(This article belongs to the Special Issue Rainwater Harvesting: Quantity, Quality, Economics and State Regulations)

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20 pages, 1160 KiB

Open AccessArticle

An Eco-Hydrological Model-Based Assessment of the Impacts of Soil and Water Conservation Management in the Jinghe River Basin, China

by Hui Peng^1,2,*, Yangwen Jia^2,*, Christina Tague³ and Peter Slaughter³

¹ Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China

² State Key Laboratory of Simulation and Regulation of River Basin Water Cycle (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China

³ Donald Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, CA 93117, USA

Water 2015, 7(11), 6301-6320; https://doi.org/10.3390/w7116301 - 11 Nov 2015

Cited by 21 | Viewed by 7597

Abstract

Many soil and water conservation (SWC) measures have been applied in the Jinghe River Basin to decrease soil erosion and restore degraded vegetation cover. Analysis of historical streamflow records suggests that SWC measures may have led to declines in streamflow, although climate and [...] Read more.

Many soil and water conservation (SWC) measures have been applied in the Jinghe River Basin to decrease soil erosion and restore degraded vegetation cover. Analysis of historical streamflow records suggests that SWC measures may have led to declines in streamflow, although climate and human water use may have contributed to observed changes. This paper presents an application of a watershed-scale, physically-based eco-hydrological model—the Regional Hydro-Ecological Simulation System (RHESSys)—in the Jinghe River Basin to study the impacts of SWC measures on streamflow. Several extensions to the watershed-scale RHESSys model were made in this paper to support the model application at larger scales (>10,000 km2) of the Loess Plateau. The extensions include the implementation of in-stream routing, reservoir sub-models and representation of soil and water construction engineering (SWCE). Field observation data, literature values and remote sensing data were used to calibrate and verify the model parameters. Three scenarios were simulated and the results were compared to quantify both vegetation recovery and SWCE impacts on streamflow. Three scenarios respectively represent no SWC, vegetation recovery only and both vegetation recovery and SWCE. The model results demonstrate that the SWC decreased annual streamflow by 8% (0.1 billion m3), with the largest decrease occurring in the 2000s. Model estimates also suggest that SWCE has greater impacts than vegetation recovery. Our study provides a useful tool for SWC planning and management in this region. Full article

(This article belongs to the Special Issue Hillslope and Watershed Hydrology)

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30 pages, 6141 KiB

Open AccessArticle

Mechanical Interaction in Pressurized Pipe Systems: Experiments and Numerical Models

by Mariana Simão^1,*

, Jesus Mora-Rodriguez^2,† and Helena M. Ramos^1,†

¹ Civil Engineering Research and Innovation for Sustainability (CEris) of the Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico (IST), Universidade de Lisboa (ULisboa), Lisbon 1049-001, Portugal

² Geomatics and Hydraulic Engineering Department, University of Guanajuato, Guanajuato 36094, Mexico

^† These authors contributed equally to this work.

Water 2015, 7(11), 6321-6350; https://doi.org/10.3390/w7116321 - 11 Nov 2015

Cited by 16 | Viewed by 6983

Abstract

The dynamic interaction between the unsteady flow occurrence and the resulting vibration of the pipe are analyzed based on experiments and numerical models. Waterhammer, structural dynamic and fluid–structure interaction (FSI) are the main subjects dealt with in this study. Firstly, a 1D model [...] Read more.

The dynamic interaction between the unsteady flow occurrence and the resulting vibration of the pipe are analyzed based on experiments and numerical models. Waterhammer, structural dynamic and fluid–structure interaction (FSI) are the main subjects dealt with in this study. Firstly, a 1D model is developed based on the method of characteristics (MOC) using specific damping coefficients for initial components associated with rheological pipe material behavior, structural and fluid deformation, and type of anchored structural supports. Secondly a 3D coupled complex model based on Computational Fluid Dynamics (CFD), using a Finite Element Method (FEM), is also applied to predict and distinguish the FSI events. Herein, a specific hydrodynamic model of viscosity to replicate the operation of a valve was also developed to minimize the number of mesh elements and the complexity of the system. The importance of integrated analysis of fluid–structure interaction, especially in non-rigidity anchored pipe systems, is equally emphasized. The developed models are validated through experimental tests. Full article

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27 pages, 2735 KiB

Open AccessArticle

Expansion of an Existing Water Management Model for the Analysis of Opportunities and Impacts of Agricultural Irrigation under Climate Change Conditions

by Jörg Steidl^1,*, Johannes Schuler²

, Undine Schubert¹, Ottfried Dietrich¹

and Peter Zander²

¹ Institute of Landscape Hydrology, Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, Müncheberg D-15374, Germany

² Institute of Socio-Economics, Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, Müncheberg D-15374, Germany

Water 2015, 7(11), 6351-6377; https://doi.org/10.3390/w7116351 - 11 Nov 2015

Cited by 20 | Viewed by 7428

Abstract

The impact of climate change and increased irrigation area on future hydrologic and agro-economic conditions was analysed for a representative basin in northeastern Germany using an expanded version of the WBalMO (water balance model) for water management. The model expansion represents various temporally [...] Read more.

The impact of climate change and increased irrigation area on future hydrologic and agro-economic conditions was analysed for a representative basin in northeastern Germany using an expanded version of the WBalMO (water balance model) for water management. The model expansion represents various temporally and spatially differentiated irrigation water use processes, including agricultural irrigation, as part of a river basin’s water management. We show that climate changes lead to increased irrigation water demands in the future, which will not always be able to be met. The resulting water deficits were shown for different crops depending on their irrigation priority and the water available. With an increased irrigation area, water deficits will rise. This may limit the profitability of agricultural irrigation. The impacts of climate change on low-flow conditions in the river are much higher than those of the increase in irrigated area alone. Therefore, any additional increases of irrigation will require careful monitoring of water availability to avoid critical impacts on river flows. The expanded model was able to replicate the processes of agricultural irrigation water use and can thus be used to test the impact of policies such as the certification of new irrigation permits. Full article

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26 pages, 3333 KiB

Open AccessArticle

Integrated Ecological River Health Assessments, Based on Water Chemistry, Physical Habitat Quality and Biological Integrity

by Ji Yoon Kim

and Kwang-Guk An^*

Department of Bioscience and Biotechnology, Chungnam National University, Daejeon 305-764, Korea

Water 2015, 7(11), 6378-6403; https://doi.org/10.3390/w7116378 - 11 Nov 2015

Cited by 62 | Viewed by 10104

Abstract

This study evaluated integrative river ecosystem health using stressor-based models of physical habitat health, chemical water health, and biological health of fish and identified multiple-stressor indicators influencing the ecosystem health. Integrated health responses (IHRs), based on star-plot approach, were calculated from qualitative habitat [...] Read more.

This study evaluated integrative river ecosystem health using stressor-based models of physical habitat health, chemical water health, and biological health of fish and identified multiple-stressor indicators influencing the ecosystem health. Integrated health responses (IHRs), based on star-plot approach, were calculated from qualitative habitat evaluation index (QHEI), nutrient pollution index (NPI), and index of biological integrity (IBI) in four different longitudinal regions (Groups I–IV). For the calculations of IHRs values, multi-metric QHEI, NPI, and IBI models were developed and their criteria for the diagnosis of the health were determined. The longitudinal patterns of the river were analyzed by a self-organizing map (SOM) model and the key major stressors in the river were identified by principal component analysis (PCA). Our model scores of integrated health responses (IHRs) suggested that mid-stream and downstream regions were impaired, and the key stressors were closely associated with nutrient enrichment (N and P) and organic matter pollutions from domestic wastewater disposal plants and urban sewage. This modeling approach of IHRs may be used as an effective tool for evaluations of integrative ecological river health.. Full article

(This article belongs to the Special Issue Ecological Monitoring, Assessment, and Management in Freshwater Systems)

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7 pages, 161 KiB

Open AccessEditorial

Advances in Remote Sensing of Flooding

by Yong Wang

Department of Geography, Planning, and Environment, East Carolina University, Greenville, NC 27858, USA

Water 2015, 7(11), 6404-6410; https://doi.org/10.3390/w7116404 - 12 Nov 2015

Cited by 19 | Viewed by 6558

Abstract

With the publication of eight original research articles, four types of advances in the remote sensing of floods are achieved. The uncertainty of modeled outputs using precipitation datasets derived from in situ observations and remote sensors is further understood. With the terrestrial laser [...] Read more.

With the publication of eight original research articles, four types of advances in the remote sensing of floods are achieved. The uncertainty of modeled outputs using precipitation datasets derived from in situ observations and remote sensors is further understood. With the terrestrial laser scanner and airborne light detection and ranging (LiDAR) coupled with high resolution optical and radar imagery, researchers improve accuracy levels in estimating the surface water height, extent, and flow of floods. The unmanned aircraft system (UAS) can be the game changer in the acquisition and application of remote sensing data. The UAS may fly everywhere and every time when a flood event occurs. With the development of urban structure maps, the flood risk and possible damage is well assessed. The flood mitigation plans and response activities become effective and efficient using geographic information system (GIS)-based urban flood vulnerability and risk maps. Full article

16 pages, 2004 KiB

Open AccessArticle

Method of Relating Grain Size Distribution to Hydraulic Conductivity in Dune Sands to Assist in Assessing Managed Aquifer Recharge Projects: Wadi Khulays Dune Field, Western Saudi Arabia

by Oliver M. Lopez¹

, Khan Z. Jadoon¹ and Thomas M. Missimer^2,*

¹ Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia

² Whitaker College of Engineering, Florida Gulf Coast University, 10501 FGCU Boulevard South, Fort Myers, FL 33965-6565, USA

Water 2015, 7(11), 6411-6426; https://doi.org/10.3390/w7116411 - 12 Nov 2015

Cited by 24 | Viewed by 8947

Abstract

Planning for use of a dune field aquifer for managed aquifer recharge (MAR) requires that hydraulic properties need to be estimated over a large geographic area. Saturated hydraulic conductivity of dune sands is commonly estimated from grain size distribution data by employing some [...] Read more.

Planning for use of a dune field aquifer for managed aquifer recharge (MAR) requires that hydraulic properties need to be estimated over a large geographic area. Saturated hydraulic conductivity of dune sands is commonly estimated from grain size distribution data by employing some type of empirical equation. Over 50 samples from the Wadi Khulays dune field in Western Saudi Arabia were collected and the grain size distribution, porosity, and hydraulic conductivity were measured. An evaluation of 20 existing empirical equations showed a generally high degree of error in the predicted compared to the measured hydraulic conductivity values of these samples. Statistical analyses comparing estimated versus measured hydraulic conductivity demonstrated that there is a significant relationship between hydraulic conductivity and mud percentage (and skewness). The modified Beyer equation, which showed a generally low prediction error, was modified by adding a second term fitting parameter related to the mud concentration based on 25 of the 50 samples analyzed. An inverse optimization process was conducted to quantify the fitting parameter and a new empirical equation was developed. This equation was tested against the remaining 25 samples analyzed and produced an estimated saturated hydraulic conductivity with the lowest error of any empirical equation. This methodology can be used for large dune field hydraulic conductivity estimation and reduce planning costs for MAR systems. Full article

(This article belongs to the Special Issue Water Resources Assessment and Management in Drylands)

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40 pages, 721 KiB

Open AccessArticle

Optimizing Water Allocation under Uncertain System Conditions for Water and Agriculture Future Scenarios in Alfeios River Basin (Greece)—Part B: Fuzzy-Boundary Intervals Combined with Multi-Stage Stochastic Programming Model

by Eleni Bekri^1,2,*, Markus Disse¹

and Panayotis Yannopoulos²

¹ Chair of Hydrology and River Basin Management, Technische Universität München, Arcisstrasse 21, München 80333, Germany

² Environmental Engineering Laboratory, Department of Civil Engineering, University of Patras, Patras 26504, Greece

Water 2015, 7(11), 6427-6466; https://doi.org/10.3390/w7116427 - 13 Nov 2015

Cited by 28 | Viewed by 7632

Abstract

Optimal water allocation within a river basin still remains a great modeling challenge for engineers due to various hydrosystem complexities, parameter uncertainties and their interactions. Conventional deterministic optimization approaches have given their place to stochastic, fuzzy and interval-parameter programming approaches and their hybrid [...] Read more.

Optimal water allocation within a river basin still remains a great modeling challenge for engineers due to various hydrosystem complexities, parameter uncertainties and their interactions. Conventional deterministic optimization approaches have given their place to stochastic, fuzzy and interval-parameter programming approaches and their hybrid combinations for overcoming these difficulties. In many countries, including Mediterranean countries, water resources management is characterized by uncertain, imprecise and limited data because of the absence of permanent measuring systems, inefficient river monitoring and fragmentation of authority responsibilities. A fuzzy-boundary-interval linear programming methodology developed by Li et al. (2010) is selected and applied in the Alfeios river basin (Greece) for optimal water allocation under uncertain system conditions. This methodology combines an ordinary multi-stage stochastic programming with uncertainties expressed as fuzzy-boundary intervals. Upper- and lower-bound solution intervals for optimized water allocation targets and probabilistic water allocations and shortages are estimated under a baseline scenario and four water and agricultural policy future scenarios for an optimistic and a pessimistic attitude of the decision makers. In this work, the uncertainty of the random water inflows is incorporated through the simultaneous generation of stochastic equal-probability hydrologic scenarios at various inflow positions instead of using a scenario-tree approach in the original methodology. Full article

(This article belongs to the Special Issue Sustainable Water Management and Decision Making under limited Data Availability)

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16 pages, 2481 KiB

Open AccessArticle

Obtaining the Thermal Structure of Lakes from the Air

by Michaella Chung^1,*, Carrick Detweiler², Michael Hamilton³, James Higgins², John-Paul Ore² and Sally Thompson¹

¹ Department of Civil and Environmental Engineering, University of California, Berkeley, Davis Hall, Berkeley, CA 94720-5800, USA

² Department of Computer Science and Engineering, University of Nebraska-Lincoln, 220 Schorr Center, Lincoln, NE 68588, USA

³ Blue Oak Ranch Reserve, Director, University of California, 23100 Alum Rock Falls Road, San Jose, CA 95127, USA

Water 2015, 7(11), 6467-6482; https://doi.org/10.3390/w7116467 - 13 Nov 2015

Cited by 23 | Viewed by 9538

Abstract

The significance of thermal heterogeneities in small surface water bodies as drivers of mixing and for habitat provision is increasingly recognized, yet obtaining three-dimensionally-resolved observations of the thermal structure of lakes and rivers remains challenging. Remote observations of water temperature from aerial platforms [...] Read more.

The significance of thermal heterogeneities in small surface water bodies as drivers of mixing and for habitat provision is increasingly recognized, yet obtaining three-dimensionally-resolved observations of the thermal structure of lakes and rivers remains challenging. Remote observations of water temperature from aerial platforms are attractive: such platforms do not require shoreline access; they can be quickly and easily deployed and redeployed to facilitate repeated sampling and can rapidly move between target locations, allowing multiple measurements to be made during a single flight. However, they are also subject to well-known limitations, including payload, operability and a tradeoff between the extent and density over which measurements can be made within restricted flight times. This paper introduces a novel aerial thermal sensing platform that lowers a temperature sensor into the water to record temperature measurements throughout a shallow water column and presents results from initial field experiments comparing \emph{in situ} temperature observations to those made from the UAS platform. These experiments show that with minor improvements, UASs have the potential to enable high-resolution 3D thermal mapping of a \(\sim\)1-ha lake in 2–3 flights (\textit{circa} 2 h), sufficient to resolve diurnal variations. This paper identifies operational constraints and key areas for further development, including the need for the integration of a faster temperature sensor with the aerial vehicle and better control of the sensor depth, especially when near the water surface. Full article

(This article belongs to the Special Issue New Developments in Methods for Hydrological Process Understanding)

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13 pages, 1351 KiB

Open AccessArticle

Effect of Ultrasound Pretreatment on Sludge Digestion and Dewatering Characteristics: Application of Particle Size Analysis

by Elia Judith Martínez

, Jose Guillermo Rosas, Antonio Morán and Xiomar Gómez^*

Chemical and Environmental Bioprocess Engineering Department, Natural Resources Institute (IRENA), University of Leon, Av. de Portugal 41, Leon 24009, Spain

Water 2015, 7(11), 6483-6495; https://doi.org/10.3390/w7116483 - 13 Nov 2015

Cited by 37 | Viewed by 8776

Abstract

The aim of this work was to study the effect of ultrasonic pretreatment on sludge digestion, particle size distribution (PSD), and dewaterability of digestates (measured by capillary suction time (CST) and specific resistance to filtration (SRF)). Sludge was pretreated with ultrasound (24 kHz) [...] Read more.

The aim of this work was to study the effect of ultrasonic pretreatment on sludge digestion, particle size distribution (PSD), and dewaterability of digestates (measured by capillary suction time (CST) and specific resistance to filtration (SRF)). Sludge was pretreated with ultrasound (24 kHz) at an energy dosage of 4300 kJ/kg TS. Digestibility of sludge was increased by ultrasound pretreatment resulting in a higher specific methane production (SMP). The digestate of pretreated waste activated sludge (WAS) obtained under batch conditions presented a better dewatering performance. Digestion under semi-continuous conditions was evaluated using sewage sludge (mixture of primary sludge and WAS). In this case, digestates presented a much higher mean particle size for both cases evaluated (pretreated and non-pretreated) than that obtained under batch conditions. A wide PSD was a characteristic of these digestate samples. Flow dynamics inside the reactor resulted in the presence of high-diameter flocs, thus significantly affecting the mean particle size and specific surface area (SSA) values. Full article

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20 pages, 457 KiB

Open AccessArticle

Optimal Sensor Placement for Leak Location in Water Distribution Networks using Evolutionary Algorithms

by Myrna V. Casillas^1,*, Luis E. Garza-Castañón¹ and Vicenç Puig²

¹ Supervision and Advanced Control Chair, Tecnológico de Monterrey, Campus Monterrey, Av. Eugenio Garza Sada 2501, 64849 Monterrey, Mexico

² Advanced Control Systems Research Group, Technical University of Catalonia, Rambla Sant Nebridi 10, 08222 Terrassa, Spain

Water 2015, 7(11), 6496-6515; https://doi.org/10.3390/w7116496 - 16 Nov 2015

Cited by 44 | Viewed by 6930

Abstract

In this paper, a sensor placement approach to improve the leak location in waterdistribution networks is proposed when the leak signature space (LSS) method is used.The sensor placement problem is formulated as an integer optimization problem where thecriterion to be minimized is the [...] Read more.

In this paper, a sensor placement approach to improve the leak location in waterdistribution networks is proposed when the leak signature space (LSS) method is used.The sensor placement problem is formulated as an integer optimization problem where thecriterion to be minimized is the number of overlapping signature domains computed fromthe original LSS representation. First, a semi-exhaustive search approach based on a lazyevaluation mechanism ensures optimal placement in the case of low complexity scenarios.For more complex cases, a stochastic optimization process is proposed, based on eitherthe genetic algorithms (GAs) or particle swarm optimization (PSO). Experiments on twodifferent networks are used to evaluate the performance of the resolution methods, as well asthe efficiency achieved in the leak location when using the sensor placement results. Full article

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35 pages, 1894 KiB

Open AccessArticle

Coupled Heuristic Prediction of Long Lead-Time Accumulated Total Inflow of a Reservoir during Typhoons Using Deterministic Recurrent and Fuzzy Inference-Based Neural Network

by Chien-Lin Huang¹

, Nien-Sheng Hsu^1,* and Chih-Chiang Wei²

¹ Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan

² Department of Marine Environmental Informatics, National Taiwan Ocean University, No.2, Beining Rd.; Jhongjheng District, Keelung City 20224, Taiwan

Water 2015, 7(11), 6516-6550; https://doi.org/10.3390/w7116516 - 17 Nov 2015

Cited by 5 | Viewed by 5715

Abstract

This study applies Real-Time Recurrent Learning Neural Network (RTRLNN) and Adaptive Network-based Fuzzy Inference System (ANFIS) with novel heuristic techniques to develop an advanced prediction model of accumulated total inflow of a reservoir in order to solve the difficulties of future long lead-time [...] Read more.

This study applies Real-Time Recurrent Learning Neural Network (RTRLNN) and Adaptive Network-based Fuzzy Inference System (ANFIS) with novel heuristic techniques to develop an advanced prediction model of accumulated total inflow of a reservoir in order to solve the difficulties of future long lead-time highly varied uncertainty during typhoon attacks while using a real-time forecast. For promoting the temporal-spatial forecasted precision, the following original specialized heuristic inputs were coupled: observed-predicted inflow increase/decrease (OPIID) rate, total precipitation, and duration from current time to the time of maximum precipitation and direct runoff ending (DRE). This study also investigated the temporal-spatial forecasted error feature to assess the feasibility of the developed models, and analyzed the output sensitivity of both single and combined heuristic inputs to determine whether the heuristic model is susceptible to the impact of future forecasted uncertainty/errors. Validation results showed that the long lead-time–predicted accuracy and stability of the RTRLNN-based accumulated total inflow model are better than that of the ANFIS-based model because of the real-time recurrent deterministic routing mechanism of RTRLNN. Simulations show that the RTRLNN-based model with coupled heuristic inputs (RTRLNN-CHI, average error percentage (AEP)/average forecast lead-time (AFLT): 6.3%/49 h) can achieve better prediction than the model with non-heuristic inputs (AEP of RTRLNN-NHI and ANFIS-NHI: 15.2%/31.8%) because of the full consideration of real-time hydrological initial/boundary conditions. Besides, the RTRLNN-CHI model can promote the forecasted lead-time above 49 h with less than 10% of AEP which can overcome the previous forecasted limits of 6-h AFLT with above 20%–40% of AEP. Full article

(This article belongs to the Special Issue Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling)

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23 pages, 5797 KiB

Open AccessArticle

Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery

by Jiaming Liu^1,2, Yanjun Zhang^1,*, Di Yuan¹ and Xingyuan Song¹

¹ State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

² Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China

Water 2015, 7(11), 6551-6573; https://doi.org/10.3390/w7116551 - 17 Nov 2015

Cited by 50 | Viewed by 8154

Abstract

Measuring total nitrogen (TN) and total phosphorus (TP) is important in managing heavy polluted urban waters in China. This study uses high spatial resolution IKONOS imagery with four multispectral bands, which roughly correspond to Landsat/TM bands 1–4, to determine TN and TP in [...] Read more.

Measuring total nitrogen (TN) and total phosphorus (TP) is important in managing heavy polluted urban waters in China. This study uses high spatial resolution IKONOS imagery with four multispectral bands, which roughly correspond to Landsat/TM bands 1–4, to determine TN and TP in small urban rivers and lakes in China. By using Lake Cihu and the lower reaches of Wen-Rui Tang (WRT) River as examples, this paper develops both multiple linear regressions (MLR) and artificial neural network (ANN) models to estimate TN and TP concentrations from high spatial resolution remote sensing imagery and in situ water samples collected concurrently with overpassing satellite. The measured and estimated values of both MLR and ANN models are in good agreement (R² > 0.85 and RMSE < 2.50). The empirical equations selected by MLR are more straightforward, whereas the estimated accuracy using ANN model is better (R² > 0.86 and RMSE < 0.89). Results validate the potential of using high resolution IKONOS multispectral imagery to study the chemical states of small-sized urban water bodies. The spatial distribution maps of TN and TP concentrations generated by the ANN model can inform the decision makers of variations in water quality in Lake Cihu and lower reaches of WRT River. The approaches and equations developed in this study could be applied to other urban water bodies for water quality monitoring. Full article

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24 pages, 357 KiB

Open AccessReview

State of the Art of Online Monitoring and Control of the Coagulation Process

by Harsha Ratnaweera^1,*,† and Joachim Fettig^2,†

¹ Norwegian University of Life Sciences, PO Box 5003-IMT, Aas 1432, Norway

² University of Applied Sciences Ostwestfalen-Lippe, An der Wilhelmshöhe 44, Höxter 37671, Germany

^† These authors contributed equally to this work.

Water 2015, 7(11), 6574-6597; https://doi.org/10.3390/w7116574 - 17 Nov 2015

Cited by 61 | Viewed by 10974

Abstract

Coagulation is an essential process for the removal of suspended and colloidal material from water and wastewater. However, no comprehensive or universally accepted mathematical description of the process has been developed so far. Therefore, process optimization and control is usually based on data [...] Read more.

Coagulation is an essential process for the removal of suspended and colloidal material from water and wastewater. However, no comprehensive or universally accepted mathematical description of the process has been developed so far. Therefore, process optimization and control is usually based on data from jar tests and simple flow-proportional dosing concepts, while more accurate concepts based on water quality parameters that can be measured online are emerging. In addition, there have been attempts to develop software sensors and control schemes that involve advanced mathematical analyses of these parameters. The paper presents an overview of the parameters and physical sensors that are used for feed-forward and feed-backward control schemes and the experiences that have been made with their implementation. Moreover, the development and use of software sensors is described. Finally, the practical applications of different control techniques are given in order to illustrate the state of the art of coagulation control. Some thoughts about research needs conclude this review. Full article

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18 pages, 1293 KiB

Open AccessArticle

Quantifying the Response Time of a Lake–Groundwater Interacting System to Climatic Perturbation

by Yicheng Gong^1,2, Ganming Liu^2,* and Franklin W. Schwartz^2,*

¹ Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China

² School of Earth Sciences, The Ohio State University, Columbus, OH 43210, USA

Water 2015, 7(11), 6598-6615; https://doi.org/10.3390/w7116598 - 17 Nov 2015

Cited by 9 | Viewed by 6552

Abstract

Response time, describing how quickly a disturbed system would reach a new equilibrium, has been helpful to hydrogeologists in characterizing and understanding the hydrogeological systems. This study examined the complex response times associated with lake–groundwater perturbed by climate. Simulated hydraulic heads and lake [...] Read more.

Response time, describing how quickly a disturbed system would reach a new equilibrium, has been helpful to hydrogeologists in characterizing and understanding the hydrogeological systems. This study examined the complex response times associated with lake–groundwater perturbed by climate. Simulated hydraulic heads and lake stage values derived from a 3-D, MODFLOW-based model were used to calculate the response times for a closed, groundwater-fed lake system. Although obviously coupled, the response times of the lake and groundwater systems were different from one another. Typically, the adjustments in hydraulic heads occurred more rapidly than lake stage. Response times for groundwaters close to the lake were controlled by the lake because of the slow transient response in stage. However, the influence of the lake declined toward the basin boundaries. This behavior occurred because critical parameters controlling the response-time behavior of the groundwater system (e.g., recharge rate) differed from those controlling the response-time behavior of the lake (e.g., bed leakance). An improved understanding of lake–groundwater behaviors have the potential to evaluate how lakes function as systems for recording paleoclimates. Full article

(This article belongs to the Special Issue New Developments in Methods for Hydrological Process Understanding)

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18 pages, 2993 KiB

Open AccessArticle

Validation of a Locally Revised Topographic Index in Central New Jersey, USA

by Zeyuan Qiu

Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, NJ 07102, USA

Water 2015, 7(11), 6616-6633; https://doi.org/10.3390/w7116616 - 18 Nov 2015

Cited by 5 | Viewed by 6397

Abstract

Saturation excess is a major runoff process in humid regions such as the US Northeast. Topographic index (TI) is used to simulate the pattern of runoff-contributing areas following a saturation excess runoff process. Although TI is useful to delineate saturated areas, i.e., [...] Read more.

Saturation excess is a major runoff process in humid regions such as the US Northeast. Topographic index (TI) is used to simulate the pattern of runoff-contributing areas following a saturation excess runoff process. Although TI is useful to delineate saturated areas, i.e., hydrologically sensitive areas, for taking spatially distinctive actions in watersheds for improving water quality, local resource management practitioners often question its applicability to local conditions. This study introduces two methods to validate a locally revised TI in humid central New Jersey, USA. The revised TI uses soil moisture deficit instead of water table depth as the state variable in simulating the saturation excess runoff process. First, the calculated TI values were compared to the soil moisture measurements sampled in two sites in Tewksbury Township in the region to evaluate their correlations. Second, a watershed model Variable Source Load Function (VSLF) that incorporates TI was applied to the Neshanic River Watershed in the region and compared to another watershed model Soil and Water Assessment Tool (SWAT) to evaluate its capability in predicting the streamflow and its runoff and baseflow components. The positive correlations between soil moisture measurements and TI suggested TI is a good indicator of runoff-generating potential. VSLF achieves a modeling efficiency comparable to SWAT in simulating watershed hydrology. Such validation gives practitioners confidence to incorporate TI pattern into watershed management practices for improving their efficiency. The results are applicable to shallow, interflow-driven watersheds in humid regions. Full article

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17 pages, 1988 KiB

Open AccessArticle

An Indirect Simulation-Optimization Model for Determining Optimal TMDL Allocation under Uncertainty

by Feng Zhou^1,*, Yanjun Dong², Jing Wu³, Jiangli Zheng² and Yue Zhao^4,*

¹ Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

² Laboratory of the Pear River Estuarine Dynamics and Associated Process Regulation, Pearl River Hydraulic Research Institute, Guangzhou 510611, China

³ Center for Environmental Science, University of Maryland, Cambridge, MD 21613, USA

⁴ Department of Water Environmental Planning, Chinese Academy for Environmental Planning, Beijing 100012, China

Water 2015, 7(11), 6634-6650; https://doi.org/10.3390/w7116634 - 20 Nov 2015

Cited by 6 | Viewed by 5245

Abstract

An indirect simulation-optimization model framework with enhanced computational efficiency and risk-based decision-making capability was developed to determine optimal total maximum daily load (TMDL) allocation under uncertainty. To convert the traditional direct simulation-optimization model into our indirect equivalent model framework, we proposed a two-step [...] Read more.

An indirect simulation-optimization model framework with enhanced computational efficiency and risk-based decision-making capability was developed to determine optimal total maximum daily load (TMDL) allocation under uncertainty. To convert the traditional direct simulation-optimization model into our indirect equivalent model framework, we proposed a two-step strategy: (1) application of interval regression equations derived by a Bayesian recursive regression tree (BRRT v2) algorithm, which approximates the original hydrodynamic and water-quality simulation models and accurately quantifies the inherent nonlinear relationship between nutrient load reductions and the credible interval of algal biomass with a given confidence interval; and (2) incorporation of the calibrated interval regression equations into an uncertain optimization framework, which is further converted to our indirect equivalent framework by the enhanced-interval linear programming (EILP) method and provides approximate-optimal solutions at various risk levels. The proposed strategy was applied to the Swift Creek Reservoir’s nutrient TMDL allocation (Chesterfield County, VA) to identify the minimum nutrient load allocations required from eight sub-watersheds to ensure compliance with user-specified chlorophyll criteria. Our results indicated that the BRRT-EILP model could identify critical sub-watersheds faster than the traditional one and requires lower reduction of nutrient loadings compared to traditional stochastic simulation and trial-and-error (TAE) approaches. This suggests that our proposed framework performs better in optimal TMDL development compared to the traditional simulation-optimization models and provides extreme and non-extreme tradeoff analysis under uncertainty for risk-based decision making. Full article

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Water, Volume 7, Issue 11 (November 2015) – 37 articles , Pages 5876-6672

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