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Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction
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Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (25 February 2024) | Viewed by 7346

Special Issue Editors

Dr. Agnieszka Rutkowska

E-Mail Website
Guest Editor
Department of Applied Mathematics, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, Krakow, Poland
Interests: hydrological time series; nonstationarity detection; statistical methods; hydro-climatic extreme events; temporal and spatial variability; climatic changes impact on hydrological characteristics; anthropogenic impacts on extreme events; drought indices
Dr. Katarzyna Baran-Gurgul

E-Mail Website
Guest Editor Assistant
Department of Geoengineering and Water Resources Management, Faculty of Environmental Engineering and Energy, Cracow University of Technology, Krakow, Poland
Interests: hydrological time series; low flows; droughts, statistical methods in hydrology; geospatial analysis

Special Issue Information

Dear Colleagues,

I invite you to contribute to the upcoming Special Issue in the open access journal Water, entitled “Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction”.

The proper assessment of river flow and precipitation variability, the frequency and severity of extreme events, and the correct development of hydrological prediction become challenging tasks due to climate change and land-use and land cover changes that strongly affect water resources.

The Special Issue offers the opportunity for researchers to share their advances in various topics of water resources management such as:

  • The variability of river flow and precipitation characteristics (temporal, spatial, circular);
  • The detection of non-stationarity in hydrological and environmental time series;
  • Extreme events—floods and droughts; quantitative approach;
  • Runoff prediction;
  • The assessment of uncertainty in hydrological prediction;
  • Associations between hydrological characteristics and climatic indices;
  • Links between river flows and human-induced or natural catchment changes;
  • The impact of climatic changes on water resources;
  • Other topics related to water resources management.

Authors are invited to contribute their original research findings that can help gain more knowledge of the understanding of water resources systems and behaviors. The approaches based on traditional, advanced, and modern statistical and numerical methods are welcome.

Dr. Agnieszka Rutkowska
Guest Editor

Dr. Katarzyna Baran-Gurgul
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • flow characteristics
  • hydrological time series
  • non-stationarity detection
  • hydro-climatic extreme events
  • temporal and spatial variability
  • climatic indices oscillations
  • climatic and anthropogenic impacts
  • drought indices
  • flood
  • droughts
  • hydrological hazard
  • hazard management

Published Papers (7 papers)

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Research

39 pages, 5515 KiB  
Article
Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One
by Julien Augas, Etienne Foulon, Alain N. Rousseau and Michel Baraër
Water 2024, 16(8), 1089; https://doi.org/10.3390/w16081089 - 10 Apr 2024
Viewed by 637
Abstract
This paper presents the extension of the monolayer snow model of a semi-distributed hydrological model (HYDROTEL) to a multilayer model that considers snow to be a combination of ice and air, while accounting for freezing rain. For two stations in Yukon and one [...] Read more.
This paper presents the extension of the monolayer snow model of a semi-distributed hydrological model (HYDROTEL) to a multilayer model that considers snow to be a combination of ice and air, while accounting for freezing rain. For two stations in Yukon and one station in northern Quebec, Canada, the multilayer model achieves high performances during calibration periods yet similar to the those of the monolayer model, with KGEs of up to 0.9. However, it increases the KGE values by up to 0.2 during the validation periods. The multilayer model provides more accurate estimations of maximum SWE and total spring snowmelt dates. This is due to its increased sensitivity to thermal atmospheric conditions. Although the multilayer model improves the estimation of snow heights overall, it exhibits excessive snow densities during spring snowmelt. Future research should aim to refine the representation of snow densities to enhance the accuracy of the multilayer model. Nevertheless, this model has the potential to improve the simulation of spring snowmelt, addressing a common limitation of the monolayer model. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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20 pages, 6629 KiB  
Article
Study of the River Discharge Alteration
by Alina Bărbulescu and Nayeemuddin Mohammed
Water 2024, 16(6), 808; https://doi.org/10.3390/w16060808 - 8 Mar 2024
Viewed by 778
Abstract
This article aims to analyze the alteration in water discharge due to the building of one of the largest dams in Romania. Modifications in the hydrological patterns of the studied river were emphasized by a complex technique that includes decomposition models of the [...] Read more.
This article aims to analyze the alteration in water discharge due to the building of one of the largest dams in Romania. Modifications in the hydrological patterns of the studied river were emphasized by a complex technique that includes decomposition models of the series into trends, seasonal indices, and random components, as well as into Intrinsic Mode Functions (IMFs). The Mann–Kendall trend test indicates the existence of different positive slopes for the subseries S1 and S2 (before and after the inception of the Siriu dam, respectively) built from the raw series, S. The stationarity hypothesis was rejected for all series. The multifractal analysis shows two different patterns of the data series. After decomposing the subseries S1 and S2, it resulted that the seasonality indices are not the same. Moreover, the seasonal variations decreased after building the dam. Empirical Mode Decomposition (EMD) unveils different short- and long-term patterns of the series before and after building the dam, concluding that there is a significant alteration in the river discharge after the dam’s inception. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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15 pages, 2991 KiB  
Article
Assessment of the Impact of Spatial Variability on Streamflow Predictions Using High-Resolution Modeling and Parameter Estimation: Case Study of Geumho River Catchment, South Korea
by Bomi Kim, Garim Lee, Yaewon Lee, Sohyun Kim and Seong Jin Noh
Water 2024, 16(4), 591; https://doi.org/10.3390/w16040591 - 17 Feb 2024
Viewed by 727
Abstract
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (<1 km) and flooding conditions at catchment scale. Simulation experiments were implemented for the Geumho River catchment in South Korea using Weather Research and the [...] Read more.
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (<1 km) and flooding conditions at catchment scale. Simulation experiments were implemented for the Geumho River catchment in South Korea using Weather Research and the Forecasting Hydrological Modeling System (WRF-Hydro) with spatial resolutions of 100 m, 250 m, and 500 m. For the estimation of parameters, an automatic calibration tool based on the Model-Independent Parameter Estimation and Uncertainty Analysis (PEST) method was utilized. We assessed the hydrological predictions across different spatial resolutions considering calibrated parameters, calibration runtime, and accuracy of streamflow before and after calibration. For both Rainfall Events 1 and 2, significant improvements were observed after event-specific calibration in all resolutions. Particularly for 250 m resolution, NSE values of 0.8 or higher were demonstrated at lower gauging locations. Also, at a 250 m resolution, the changes in the calibrated parameter values (REFKDT) were minimized between Rainfall Events 1 and 2, implicating more effective calibration compared to the other resolutions. At resolutions of 100 m and 500 m, the optimal parameter values for the two events were distinctively different while more computational resources were required for calibration in Event 2 with drier antecedent conditions. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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21 pages, 6967 KiB  
Article
Spatial–Temporal Water Balance Evaluation in the Nile Valley Upstream of the New Assiut Barrage, Egypt, Using WetSpass-M
by Zhanchao Li, Ahmed S. Eladly, Ehab Mohammad Amen, Ali Salem, Mahmoud M. Hassanien, Khailah Ebrahim Yahya and Jiaming Liang
Water 2024, 16(4), 543; https://doi.org/10.3390/w16040543 - 9 Feb 2024
Viewed by 996
Abstract
The components of water balance (WBC) that involve precipitation, evapotranspiration, runoff, irrigation, and groundwater recharge are critical for understanding the hydrological cycle and water management of resources in semi-arid and arid areas. This paper assesses temporal and spatial distributions of surface runoff, actual [...] Read more.
The components of water balance (WBC) that involve precipitation, evapotranspiration, runoff, irrigation, and groundwater recharge are critical for understanding the hydrological cycle and water management of resources in semi-arid and arid areas. This paper assesses temporal and spatial distributions of surface runoff, actual evapotranspiration, and groundwater recharge upstream of the New Assiut Barrage (NAB) in the Nile Valley, Upper Egypt, using the WetSpass-M model for the period 2012–2020. Moreover, this study evaluates the effect of land cover/land use (LULC) alterations in the study period on the WBC of the NAB. The data provided as input for the WetSpass-M model in the structure of raster maps using the Arc-GIS tool. Monthly meteorological factors (e.g., temperature, rainfall, and wind speed), a digital elevation model (DEM), slope, land cover, irrigation cover, a soil map, and depth to groundwater are included. The long-term temporal and spatial mean monthly irrigation and precipitation (127 mm) is distributed as 49% (62 mm) actual evapotranspiration, 15% (19 mm) groundwater recharge, and 36% (46 mm) surface runoff. The replacement of cropland by built-up areas was recognized as the primary factor responsible for the major decrease in groundwater, an increase in evapotranspiration and an increase in surface runoff between LCLU in 2012 and 2020. The integration of the WetSpass model with GIS has shown its effectiveness as a powerful approach for assessing WBC. Results were more accurate and reliable when hydrological modeling and spatial analysis were combined. The results of this research can help make well-informed decisions about land use planning and sustainable management of water resources in the upstream area of the NAB. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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29 pages, 8644 KiB  
Article
Assessing the Effects of Miedzyodrze Area Revitalization on Estuarine Flows in the Odra River
by Robert Mańko
Water 2023, 15(16), 2926; https://doi.org/10.3390/w15162926 - 14 Aug 2023
Viewed by 736
Abstract
The estuarine section of the Odra River network is influenced by various phenomena that shape its hydrological regime. The Lower Odra region includes “Miedzyodrze,” an area between the main branches of the Odra River that was previously used for agriculture. However, due to [...] Read more.
The estuarine section of the Odra River network is influenced by various phenomena that shape its hydrological regime. The Lower Odra region includes “Miedzyodrze,” an area between the main branches of the Odra River that was previously used for agriculture. However, due to a lack of maintenance in the 20th century, Miedzyodrze’s infrastructure suffered significant damage, resulting in blockages and channel shallowing. Previous models of the lower Odra River network overlooked Miedzyodrze’s hydrodynamic impact on flow. To address this, a study aimed to assess Miedzyodrze’s influence on flows within the network. Three computational scenarios were developed: one treating Miedzyodrze as an uncontrolled floodplain, another excluding it from the flow like past models, and a third incorporating the hydraulic capacity of selected Miedzyodrze channels with hypothetical restoration. The construction of the models involved extensive field research, including bathymetric surveys and an inventory of channels and structures. Challenges arose from legal and technical constraints during the research. The hydraulic network model was developed using Hec-Ras software and underwent calibration and verification processes for accuracy and reliability. The study focused on analyzing changes in water distribution, flow reduction along the East Odra, flow ratios at specific points, and downstream flow alterations based on different scenarios and the aperture extent of the Widuchowa weir. The conducted analyses and deductions validate the thesis proposed in this study that the potential process of channel dredging and renovation of the hydraulic infrastructure in Miedzyodrze will significantly influence the flow distribution within the lower Odra River network. The significant impact of the Międzyodrze area on water distribution in the lower course of the Odra River has been successfully demonstrated. Under specific hydrological scenarios, a potential increase in flow through the Międzyodrze area from approximately 10–100 m3/s to a range of 60–420 m3/s has been identified. This dynamic alteration of river flow exerts a pronounced influence on further water distribution within the entire river network. For the purpose of addressing the matter at hand within this study, the following procedures were undertaken: → analysis of characteristic flow regimes and states, → bathymetric measurements, → flow measurements at selected cross-sections, → construction of a numerical model of the river network, → model calibration, → formulation of a set of boundary conditions, → modeling, → results analysis. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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24 pages, 6145 KiB  
Article
Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows
by Borislava Blagojević, Vladislava Mihailović, Aleksandar Bogojević and Jasna Plavšić
Water 2023, 15(16), 2919; https://doi.org/10.3390/w15162919 - 12 Aug 2023
Cited by 1 | Viewed by 1530
Abstract
Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal [...] Read more.
Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal runoff pattern is constructed by determining quantiles from marginal distributions of daily flows for each day within the year. By applying Fourier transformation on the statistics of the daily flow partial series, we obtain smooth periodical functions of distribution parameters over the year and consequently of the quantiles. The main findings are based on the comparison of the dry, average, and wet hydrologic condition zones as defined by the daily flow quantiles of selected probabilities. This analysis was conducted for ten catchments in Serbia by considering changes between two 30-year nonoverlapping periods, 1961–1990 and 1991–2020. It was found that the relative change in runoff volume is the most pronounced in the extreme dry condition zone in the winter season (−33% to 34%). The annual time shift is the largest in the dry and average condition zones, ranging from −11 to 12 days. The applied methodology is not only applicable to the detection of hydrologic change, but could also be used in operational hydrology and extreme flow studies via drought indices such as the Standardized Streamflow Index. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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21 pages, 3381 KiB  
Article
Study on a Hybrid Hydrological Forecasting Model SCE-GUH by Coupling SCE-UA Optimization Algorithm and General Unit Hydrograph
by Yingying Xu, Chengshuai Liu, Qiying Yu, Chenchen Zhao, Liyu Quan and Caihong Hu
Water 2023, 15(15), 2783; https://doi.org/10.3390/w15152783 - 1 Aug 2023
Cited by 2 | Viewed by 1036
Abstract
Implementing real-time prediction and warning systems is an effective approach for mitigating flash flood disasters. However, there is still a challenge in improving the accuracy and reliability of flood prediction models. This study develops a hydrological prediction model named SCE-GUH, which combines the [...] Read more.
Implementing real-time prediction and warning systems is an effective approach for mitigating flash flood disasters. However, there is still a challenge in improving the accuracy and reliability of flood prediction models. This study develops a hydrological prediction model named SCE-GUH, which combines the Shuffled Complex Evolution-University of Arizona optimization algorithm with the general unit hydrograph routing method. Our aims were to investigate the applicability of the general unit hydrograph in runoff calculations and its performance in predicting flash flood events. Furthermore, we examined the influence of parameter variations in the general unit hydrograph on flood simulations and conducted a comparative analysis with the conventional Nash unit hydrograph. The research findings demonstrate that the utilization of the general unit hydrograph method can considerably decrease computational errors and enhance prediction accuracy. The flood peak detection rate was found to be 100% in all four study watersheds. The average Nash–Sutcliffe efficiency coefficients were 0.83, 0.83, 0.84, and 0.87, while the corresponding coefficients of determination were 0.86, 0.85, 0.86, and 0.94, and the absolute errors of peak present time were 0.19 h, 0.40 h, 0.91 h, and 0.82 h, respectively. Moreover, the utilization of the general unit hydrograph method was found to significantly reduce the peak-to-current time difference, thereby enhancing simulation accuracy. Parameter variations have a substantial influence on peak flow characteristics. The SCE-GUH model, which incorporates the topographic and geomorphological features of the watershed along with the optimization algorithm, is capable of effectively characterizing the catchment properties of the watershed and offers valuable insights for enhancing the early warning and prediction of hydrological forecasting. Full article
(This article belongs to the Special Issue Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction)
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