Hydrology in River Basins: Developments in Science and Application (HRBDSA)

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: closed (15 December 2018)

Special Issue Editor


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Guest Editor
IHE Delft Institute for Water Education, Delft The Netherlands, P.O. Box 3015, 2601 DA Delft, The Netherlands
Interests: catchment hydrology; water resources assessment in well-gauged, poorly gauged and ungauged catchments; spatial and temporal variability of water resources; impact of global changes (e.g., climate and land use changes) on water resources; drought assessment and management; integrated water resources planning and management; sustainable development
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Special Issue Information

Dear Colleagues,

Hydrology of river basins is a subject of great interest for the scientific community and practitioners. From a global perspective, most of the river basins are under increasing pressure due to global changes such as climate, land use, infrastructure development and pollution. Nevertheless, there are also several basins or their parts that still manifest natural hydrology, which is not well understood. Advances in improved understanding of the complex and dynamic hydrological processes are essential to advance science of hydrology as well as support applications to address real world issues, and to underpin sustainable development. This special issue aims to contribute in advancing scientific knowledge related to river basin hydrology. The original and novel contributions on recent developments and emerging issues in hydrological sciences and applications are invited for this special issues, with specific focus on the following:

  • Hydrological process understanding in river basins that are natural or modified; gauged, ungauged or poorly gauged;
  • Impact of global changes (climate, land use, reservoirs and irrigation systems, erosion and pollution) on hydrology and water resources;
  • Hydrological extremes (floods and droughts) under global changes and novel management options;
  • Role of data from various sources such as ground monitoring networks, remote sensing, and citizen science in improving scientific assessment and applications;
  • Advances in the development and application of tools and models for catchment hydrology and informed decision making process.

The submissions may cover above mentioned issues in the form of a review, synthesis or case study research. The accepted papers will be published as open access ensuring widespread availability, according to the policy of MDPI, which is a well-recognized open access publisher with growing impact. The publication cost per paper is 350 CHF (550 CHF after 31 December 2017). However, the editor may recommend five accepted papers to be published free of charge. Moreover, co-authors from IHE Delft can apply, via the editor, for some IHE funds dedicated to this special issue.

Dr. Ilyas Masih
Guest Editor

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Keywords

  • Hydrological processes
  • Climate and land use change
  • Impact assessment
  • Floods and droughts
  • Ground and remote sensing data
  • Time series analysis
  • Hydrological modelling
  • Water management interventions

Published Papers (3 papers)

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Research

15 pages, 1369 KiB  
Article
Modeling the Natural Drainage Network of the Grand River in Southern Ontario: Agriculture May Increase Total Channel Length of Low-Order Streams
by Aslam Hanief and Andrew E. Laursen
Geosciences 2019, 9(1), 46; https://doi.org/10.3390/geosciences9010046 - 17 Jan 2019
Cited by 2 | Viewed by 4535
Abstract
The Grand River watershed is an important agricultural area in southern Ontario, with several large and growing municipalities. Based on digital elevation models (DEMs), the natural drainage network was modelled to predict flow paths. Channel lengths and locations of the predicted network were [...] Read more.
The Grand River watershed is an important agricultural area in southern Ontario, with several large and growing municipalities. Based on digital elevation models (DEMs), the natural drainage network was modelled to predict flow paths. Channel lengths and locations of the predicted network were compared with a ground-truthed channel network to determine efficacy of the models. Approximately 5% of predicted channels lay >40 m from actual channel locations. This amounted to 388 km of channel that had no corresponding channels in reality. The model was unable to predict, based on topography, 2535 km of actual channel present in the watershed. Channels not anticipated by topography were mostly first-order, with low sinuosity, were most common in areas with high agricultural land use, and are likely excavated extensions to headwater streams to facilitate drainage. In addition, this study showed that Soil and Water Assessment Tool (SWAT) models produced using different DEM resolutions did not predict significantly different stream flows, even when resolution was as low as 200 m. However, these low resolution DEMs did result in under-prediction of sediment export entering Lake Erie, most likely because the low resolution maps failed to account for small localized areas of high slope that would have relatively higher rates of erosion. Full article
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20 pages, 3039 KiB  
Article
Validating Rainfall-Runoff Modelling Using Satellite-Based and Reanalysis Precipitation Products in the Sre Pok Catchment, the Mekong River Basin
by Thu Ha Nguyen, Ilyas Masih, Yasir A. Mohamed and Pieter Van der Zaag
Geosciences 2018, 8(5), 164; https://doi.org/10.3390/geosciences8050164 - 4 May 2018
Cited by 16 | Viewed by 4447
Abstract
The limitation in quantity and quality of climate data, in particular rainfall measurements, directly affects the reliability of hydrological models, which negatively impacts on the quality of water resources planning and management. This is obviously true in poorly-gauged or in transboundary river catchments [...] Read more.
The limitation in quantity and quality of climate data, in particular rainfall measurements, directly affects the reliability of hydrological models, which negatively impacts on the quality of water resources planning and management. This is obviously true in poorly-gauged or in transboundary river catchments with limited practice of data sharing among the riparian states. Satellite-based and reanalysis rainfall products are increasingly recognised as a promising information source to supplement ground observations. This research aims to study the feasibility of using satellite-based and reanalysis rainfall data for rainfall-runoff modelling in the Sre Pok catchment-a poorly gauged catchment located in Vietnam and Cambodia. First, three selected rainfall products (Tropical Rainfall Measuring Mission-TRMM, CPC MORPHing Technique-CMORPH, and European Reanalysis-ERA-Interim) were compared against ground rainfall data of 13 rain-gauges, located inside and in the vicinity of the study catchment. The validation results show that the studied global datasets have a reasonably good correlation with ground observation at monthly time scale (NSE = 0.3 to 0.8, R2 = 0.4 to 0.8), but relatively poor correlation at daily scale (NSE = −0.4 to 0.3, R2 = 0.1 to 0.4). Next, a semi-distributed rainfall-runoff model based on HBV-Light was developed to validate these datasets in the Krong Ana sub-catchment of the Sre Pok. The results illustrate satisfactory to very good model performances at monthly time scale for the satellite-based and reanalysis rainfall inputs (NSE = 0.58 to 0.77, R2 = 0.59 to 0.78 for the calibration period from 2004 to 2007, while NSE = 0.59 to 0.80, R2 = 0.64 to 0.84 for the validation period from 2008 to 2010). However, only TRMM and ERA-Interim give acceptable results at daily scale with NSE = 0.52 to 0.67, R2 = 0.53 to 0.67 for the calibration period, and NSE = 0.41 to 0.61, R2 = 0.45 to 0.65 for the validation period. The study concludes that the tested satellite-based and reanalysis rainfall products, especially TRMM and ERA-Interim, could mimic reasonably well the monthly rainfall pattern in the study region. It also demonstrates a great opportunity to use satellite-based and reanalysis rainfall for runoff modelling at monthly time scale in the Sre Pok catchment and other poorly-gauged (transboundary) catchments in the region, for example in the Mekong and Red River Basins. Full article
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16 pages, 2969 KiB  
Article
Impact of Climate Change on Flood Frequency and Intensity in the Kabul River Basin
by Muhammad Shahid Iqbal, Zakir Hussain Dahri, Erik P Querner, Asif Khan and Nynke Hofstra
Geosciences 2018, 8(4), 114; https://doi.org/10.3390/geosciences8040114 - 30 Mar 2018
Cited by 62 | Viewed by 10203
Abstract
Devastating floods adversely affect human life and infrastructure. Various regions of the Hindukush-Karakoram-Himalayas receive intense monsoon rainfall, which, together with snow and glacier melt, produce intense floods. The Kabul river basin originates from the Hindukush Mountains and is frequently hit by such floods. [...] Read more.
Devastating floods adversely affect human life and infrastructure. Various regions of the Hindukush-Karakoram-Himalayas receive intense monsoon rainfall, which, together with snow and glacier melt, produce intense floods. The Kabul river basin originates from the Hindukush Mountains and is frequently hit by such floods. We analyses flood frequency and intensity in Kabul basin for a contemporary period (1981–2015) and two future periods (i.e., 2031–2050 and 2081–2100) using the RCP4.5 and RCP8.5 scenarios based on four bias-corrected downscaled climate models (INM-CM4, IPSL-CM5A, EC-EARTH, and MIROC5). Future floods are modelled with the SWAT hydrological model. The model results suggest an increasing trend due to an increasing precipitation and higher temperatures (based on all climate models except INM-CM4), which accelerates snow and glacier-melt. All of the scenario results show that the current flow with a 1 in 50 year return period is likely to occur more frequently (i.e., 1 in every 9–10 years and 2–3 years, respectively) during the near and far future periods. Such increases in intensity and frequency are likely to adversely affect downstream population and infrastructures. This, therefore, urges for appropriate early precautionary mitigation measures. This study can assist water managers and policy makers in their preparation to adequately plan for and manage flood protection. Its findings are also relevant for other basins in the Hindukush-Karakoram-Himalayas region. Full article
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