Advanced Watershed Hydrology and Water Quality Modeling Development and Application

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

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 3365

Special Issue Editor


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Guest Editor
Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA
Interests: watershed; riparian vegetation; hydraulic; water quality; contaminant modeling; environmental software development
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Special Issue Information

Dear Colleagues,

A broad of range of watershed models have been successfully developed for the simulation of hydrology, erosion, and the transport/fate of sediment and pollutants across the watershed. These models have become important and effective tools for assessing hydrology and environmental issues in the past several decades. With the rapid progress of computer technologies, high-resolution data, and advanced science, existing watershed models have been improved with efficient numerical computation, physically based process descriptions, or addressing the best management practices, challenging climate change, and emerging water quality issues.

This Special Issue titled “Advanced Watershed Hydrology and Water Quality Modeling Development and Application” solicits manuscripts describing the latest research and development of watershed hydrology and water quality modeling and their case studies. It is our hope that a collection of papers for this Special Issue will provide the audience with a resource covering the following aspects of watershed hydrology and water quality modeling development and application: (1) improvement of hydrologic process simulations; (2) improvement of water quality process descriptions making multi-stressor analysis of non-point-source pollution; (3) development of new algorithms or refinement of existing formulations with physically based principles; (4) simulation of the environmental benefits of best management practices such as wetlands and riparian buffers; (5) expanding model capabilities for including biological, habitat and ecosystem variables in watershed models as a result of the augmentation of water quality objectives; (6) applying high-resolution remote sensing data for watershed modeling studies; (7) development or enhancement of computational techniques for taking advantage of increasingly powerful computing resources; (8) integrating watershed and receiving water body modeling systems for non-point-source pollution assessment and restoration efforts; and (9) special case studies for model application.

Prof. Dr. Zhonglong Zhang
Guest Editor

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Keywords

  • watershed
  • hydrology
  • water quality
  • non-point sources
  • management practices

Published Papers (2 papers)

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Research

24 pages, 7818 KiB  
Article
Application and Evaluation of Stage–Storage–Discharge Methodology in Hydrological Study of the Southern Phosphate Mining Model Domain in Southwest Florida
by Fahad Alshehri and Mark Ross
Water 2024, 16(6), 842; https://doi.org/10.3390/w16060842 - 14 Mar 2024
Viewed by 816
Abstract
This hydrological study investigated a combined rating methodology tested on a 14,090 km2 area in Southwest Florida. The approach applied the Hydrological Simulation Program-Fortran (HSPF) over a 23-year period and was validated by 28 stream gauging stations. The regional hydrological complexity includes [...] Read more.
This hydrological study investigated a combined rating methodology tested on a 14,090 km2 area in Southwest Florida. The approach applied the Hydrological Simulation Program-Fortran (HSPF) over a 23-year period and was validated by 28 stream gauging stations. The regional hydrological complexity includes natural and agricultural areas, as well as extensive phosphate mining and urbanizing areas. This application is a novel and efficient methodology for generating stage–storage–discharge relationships using a geographic information system (GIS), empirical equations, and spreadsheets for 148,000 isolated and connected alluvial wetlands within the model domain. The validation metrics used to evaluate the applied methodology for populating the stage–storage–discharge relationship demonstrated the model effectiveness in simulating a range of hydrological events across various regions. For discharge prediction, the Nash–Sutcliffe efficiency values surpassed 0.7 at most stations, with an average of 0.67, and the average R squared was 0.74. This methodology, when applied, achieved a root-mean-square error of 4 m3/s for discharge prediction and 0.47 m for stage prediction. However, limitations emerged in simulating baseflow (low flows), highlighting the need for integrated modeling approaches to accurately capture groundwater–surface water interactions. The research provides an improved means for modeling regional water resources and lays the groundwork for enhanced hydrological modeling in watersheds with complex alluvial and isolated wetland systems. Full article
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23 pages, 19748 KiB  
Article
A Framework for Assessment of Flood Conditions Using Hydrological and Hydrodynamic Modeling Approach
by Anil Kumar, Rakesh Khosa and Ashwin Kumar Gosian
Water 2023, 15(7), 1371; https://doi.org/10.3390/w15071371 - 3 Apr 2023
Cited by 1 | Viewed by 2169
Abstract
River flooding has been triggering significant damage to lives and infrastructure and is a major worry all around the globe. To lessen these losses, proper planning and management methods need to be deployed. The purpose of this research is to fill a knowledge [...] Read more.
River flooding has been triggering significant damage to lives and infrastructure and is a major worry all around the globe. To lessen these losses, proper planning and management methods need to be deployed. The purpose of this research is to fill a knowledge gap on the effects of reservoirs operation of the Idukki and Idamalyar to Periyar River Basin massive flooding. The proposed methodology is implemented on the Periyar River Basin located in Kerala, India, where severe flooding occurred during monsoon season in the year 2018. In this study, modelling technique has been used in two-step: (1) development of 1D physically based, distributed-parameter model (Soil and Water Assessment Tool, SWAT) to compute the stream flow and estimate the stream discharge at different outlet points; and (2) hybrid model is developed by linking SWAT with a well-known 2D hydrodynamic model (International River Interface Cooperative, iRIC) to display flood scenarios and to identify the flood-prone areas. The ArcSWAT user interface employed in the ArcGIS software was utilized to delineate the river basin. The SWAT model was calibrated and validated on daily and monthly basis at two gauge discharge stations, i.e., Neeleeswaram and Kalady. The statistical coefficients result obtained from SWAT model was in good agreement with the measured values for calibration and validation. The hybrid model simulation results compared with observed flood depth and remote sensing data demonstrated good capability of the model. Agreeable performances of computed results were observed in both flow fields and flood propagations. The result was compared with 2018 flood to check model accuracy and found to be satisfactory. The proposed framework can be utilized as an effective tool for efficient planning and management of natural disasters, such as flash floods. Full article
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