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Hydrology, Volume 9, Issue 6

2022 June - 18 articles

Cover Story: The typical techniques to assess the uncertainty of hydrological model simulations (e.g., Monte Carlo simulation) are computationally expensive. In this study, two data-driven methods were employed instead, one based on machine learning techniques and one based on statistical approaches. These methods were tested in two real-world case studies to obtain conclusions regarding their reliability. The anatomization of the algorithmic background of the two methods revealed similarities between them, with the background of the statistical method being more theoretically robust. Nevertheless, the results from the case studies indicated that both methods perform equivalently well. For this reason, both data-driven methods can become a valuable tool for practitioners. View this paper
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Articles (18)

  • Article
  • Open Access
18 Citations
5,827 Views
15 Pages

Monthly Rainfall Prediction at Catchment Level with the Facebook Prophet Model Using Observed and CMIP5 Decadal Data

  • Md Monowar Hossain,
  • A. H. M. Faisal Anwar,
  • Nikhil Garg,
  • Mahesh Prakash and
  • Mohammed Bari

Early prediction of rainfall is important for the planning of agriculture, water infrastructure, and other socio-economic developments. The near-term prediction (e.g., 10 years) of hydrologic data is a recent development in GCM (General Circulation M...

(This article belongs to the Special Issue Stochastic and Deterministic Modelling of Hydrologic Variables)
  • Article
  • Open Access
1 Citations
3,047 Views
24 Pages

Importance of Flood Samples for Estimating Sediment and Nutrient Loads in Mediterranean Rivers

  • Olivier Banton,
  • Sylvie St-Pierre,
  • Hélène Giot and
  • Anaïs Giraud

Protecting the quality of coastal water bodies requires the assessment of contaminant discharge brought by rivers. Numerous methods have been proposed for calculating sediment and nutrient loads. The most widely used and generally recommended are the...

  • Article
  • Open Access
1 Citations
3,823 Views
15 Pages

At times, hydrological drought is defined using Q90 or Q95 (90% or 95% flows equaling or exceeding) or even at higher levels, such as Q75 as the cutoff level regardless of their seasonal variation (i.e., truncation at the uniform flow level). In the...

(This article belongs to the Special Issue Drought and Water Scarcity: Monitoring, Modelling and Mitigation)
  • Article
  • Open Access
14 Citations
6,948 Views
15 Pages

What Is the Contribution of Urban Trees to Mitigate Pluvial Flooding?

  • Karina Sinaí Medina Camarena,
  • Thea Wübbelmann and
  • Kristian Förster

Hydrological modeling is commonly used in urban areas for drainage design and to estimate pluvial flood hazards in order to mitigate flood risks and damages. In general, modelers choose well-known and proven models, which are tailored to represent th...

(This article belongs to the Section Surface Waters and Groundwaters)
  • Article
  • Open Access
7 Citations
5,847 Views
20 Pages

Is Greenhouse Rainwater Harvesting Enough to Satisfy the Water Demand of Indoor Crops? Application to the Bolivian Altiplano

  • Juan-Manuel Sayol,
  • Veriozka Azeñas,
  • Carlos E. Quezada,
  • Isabel Vigo and
  • Jean-Paul Benavides López

As many other regions worldwide, the Bolivian Altiplano has to cope with water scarcity during dry periods, which in turn impacts on crop production as flood irrigation is overwhelmingly extended in the region. Since farming is the main income in the...

(This article belongs to the Special Issue Hydrological Applications and Cooperation Projects in Developing Countries)
  • Communication
  • Open Access
4 Citations
3,633 Views
12 Pages

Radium has been commonly used as a tracer of submarine groundwater discharge to the ocean and embankments, as radium activities are commonly input into box models to calculate a groundwater flux. Similarly, isotopes of radium (Ra224, Ra223, Ra226, Ra...

(This article belongs to the Section Marine Environment and Hydrology Interactions)
  • Article
  • Open Access
  • Best Paper Award
25 Citations
5,839 Views
18 Pages

Extreme precipitation events can lead to the exceedance of the sewer capacity in urban areas. To mitigate the effects of urban flooding, a model is required that is capable of predicting flood timing and volumes based on precipitation forecasts while...

(This article belongs to the Special Issue Modern Developments in Flood Modelling)
  • Article
  • Open Access
15 Citations
10,895 Views
19 Pages

Urban irrigation is an essential process in land–atmosphere interactions. It is one of the uncertain parameters of urban hydrology due to various microclimates. This study investigated the microclimate effects and irrigation water requirements...

(This article belongs to the Special Issue Climate Change Effects on Hydrology and Water Resources)
  • Article
  • Open Access
21 Citations
5,803 Views
14 Pages

Comparison of SWAT and MODIS Evapotranspiration Data for Multiple Timescales

  • Prem B. Parajuli,
  • Avay Risal,
  • Ying Ouyang and
  • Anita Thompson

Evapotranspiration (ET) provides important information for hydrological studies, including estimating plant water requirements which can be derived from remote sensing data or simulated using hydrological models. In this study, ET derived from the Mo...

  • Article
  • Open Access
10 Citations
4,171 Views
13 Pages

Contribution of Non-Rainfall Water Input to Surface Soil Moisture in a Tropical Dry Forest

  • Maria Simas Guerreiro,
  • Eunice Maia de Andrade,
  • Marcos Makeison Moreira de Sousa,
  • José Bandeira Brasil and ,
  • Jacques Carvalho Ribeiro Filho and
  • Helba Araújo de Queiroz Palácio
  • + 1 author+ 0 author

Non-rainfall water input to surface soil moisture is essential to ecosystems, especially in dry climates, where a water deficit may persist for several months. Quantifying the impact of water gains by soil moisture at night will help to understand ve...

(This article belongs to the Section Ecohydrology)
  • Article
  • Open Access
8 Citations
4,032 Views
15 Pages

KNN vs. Bluecat—Machine Learning vs. Classical Statistics

  • Evangelos Rozos,
  • Demetris Koutsoyiannis and
  • Alberto Montanari

Uncertainty is inherent in the modelling of any physical processes. Regarding hydrological modelling, the uncertainty has multiple sources including the measurement errors of the stresses (the model inputs), the measurement errors of the hydrological...

(This article belongs to the Special Issue Traditional Statistics vs. Modern Machine Learning Approaches in Hydrology)
  • Technical Note
  • Open Access
42 Citations
8,365 Views
14 Pages

The agricultural sector is vulnerable to extreme phenomena such as droughts, particularly in arid and semi-arid environments and in regions where water infrastructure is limited. Devising preparedness plans, including means for efficient monitoring a...

(This article belongs to the Special Issue Drought and Water Scarcity: Monitoring, Modelling and Mitigation)
  • Article
  • Open Access
13 Citations
8,179 Views
12 Pages

The Ohrid-Prespa lake system is the oldest and most diverse permanent lake system in Europe, dating from the Pliocene era and aged at over 4Ma. Its smaller component is Lake Macro Prespa (thereafter called Prespa), shared by North Macedonia, Albania,...

(This article belongs to the Special Issue The Application of Remote Sensing in Hydrology)
  • Article
  • Open Access
7 Citations
5,080 Views
20 Pages

This study proposes seven equations to predict the settling velocity of sediment particles with variations in grain size (d), particle shape factor (SF), and water temperature (T) based on the artificial neural network procedure. The data used to dev...

(This article belongs to the Special Issue Traditional Statistics vs. Modern Machine Learning Approaches in Hydrology)
  • Article
  • Open Access
19 Citations
4,290 Views
20 Pages

A Holistic Approach to Study Groundwater-Surface Water Modifications Induced by Strong Earthquakes: The Case of Campiano Catchment (Central Italy)

  • Elisa Mammoliti,
  • Davide Fronzi,
  • Costanza Cambi,
  • Francesco Mirabella and ,
  • Carlo Cardellini,
  • Emiliano Patacchiola,
  • Alberto Tazioli,
  • Stefano Caliro and
  • Daniela Valigi
  • + 4 authors+ 0 author

Carbonate aquifers are characterised by strong heterogeneities and their modelling is often a challenging aspect in hydrological studies. Understanding carbonate aquifers can be more complicated in the case of strong seismic events which have been wi...

(This article belongs to the Special Issue Hydro-Geology of Karst Areas)
  • Technical Note
  • Open Access
4 Citations
5,446 Views
16 Pages

Spring discharge hydrographs can provide information on karst aquifer connectivity and responses to precipitation. However, few studies have conducted time-series analyses of spring hydrographs over multi-decadal time scales. We examine daily dischar...

(This article belongs to the Special Issue Hydro-Geology of Karst Areas)
  • Article
  • Open Access
15 Citations
4,792 Views
15 Pages

Snowpack Aging, Water Isotope Evolution, and Runoff Isotope Signals, Palouse Range, Idaho, USA

  • Jeff B. Langman,
  • Julianna Martin,
  • Ethan Gaddy,
  • Jan Boll and
  • David Behrens

A snowpack’s δ2H and δ18O values evolve with snowfall, sublimation, evaporation, and melt, which produces temporally variable snowpack, snowmelt, and runoff isotope signals. As a snowpack ages, the relatively depleted δ2H and...

(This article belongs to the Section Surface Waters and Groundwaters)
  • Article
  • Open Access
8 Citations
5,783 Views
14 Pages

Sulfate isotopes (δ34S, δ18OSO4) interpreted in conjunction with sulfate concentrations show that sulfate of both agricultural and geologic sources is present in groundwater and surface water in the Rio Grande flood plain within the Hueco...

(This article belongs to the Section Surface Waters and Groundwaters)
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Hydrology - ISSN 2306-5338