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Advanced Hydrological Modeling in Agricultural Engineering

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 3028

Special Issue Editor


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Guest Editor
Agricultural and Biological Engineering Department, University of Florida, Homestead, Florida (33031), USA
Interests: Hydrological Modeling; Climate Change Impacts Assessment; Distributed Modeling; Watershed Graph Mining; Watershed Management Practices (BMPs and LIDs)
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Special Issue Information

Dear Colleagues,

Hydrological modeling is now an essential tool for improved decision making in agricultural engineering. As agricultural water issues have got more complicated with increases in water demands and expected changes in land use and climate, more sophisticated hydrological modeling approaches are required. As computing resources and remote sensing technologies have been developed rapidly, hydrological modeling is expected to be more demanding and useful in agricultural water resource management and planning. This Special Issue invites studies advancing hydrological modeling with new concepts, aspects, approaches, methods, and techniques for increased ability to manage agricultural water resources under a changing environment. The research interests include, but are not limited to the development and application of new simulation models and approaches, improvement of existing models and methods, applications of new remotely sensed data and computational techniques to hydrological modeling, and new strategies to incorporate and consider land use and climate changes in hydrological modeling. This Special Issue is expected to provide an overview of the latest advancements in the agricultural application of hydrological simulation methods.

Dr. Young Gu Her
Guest Editor

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Keywords

  • Hydrological modeling
  • agricultural engineering
  • decision making
  • water demand
  • land use change
  • climate change
  • remote sensing
  • agricultural water
  • water resource management

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Published Papers (1 paper)

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Research

15 pages, 4657 KiB  
Article
Development and Assessment of Watershed Management Indicators Using the Budyko Framework Parameter
by Kyeung Kim, Hakkwan Kim, Hyunji Lee, Sang-Min Jun, Soonho Hwang, Jung-Hun Song and Moon-Seong Kang
Sustainability 2021, 13(7), 3864; https://doi.org/10.3390/su13073864 - 31 Mar 2021
Cited by 1 | Viewed by 2556
Abstract
This study aims to introduce the Budyko curve’s parameter (w) as a watershed quality indicator and establish criteria. Basin-specific (w) was calculated in 183 watersheds based on land use in 2013. Weather data and runoff data were used, and runoff data were calculated [...] Read more.
This study aims to introduce the Budyko curve’s parameter (w) as a watershed quality indicator and establish criteria. Basin-specific (w) was calculated in 183 watersheds based on land use in 2013. Weather data and runoff data were used, and runoff data were calculated using Hydrological Simulation Program-Fortran (HSPF). An estimation model was developed to estimate the w of the unmeasured watershed, and the R2 of the developed model was 0.917, showing that the modeled value was reliable. A cluster analysis between basin-specific w and impervious area ratio in 2013 was performed to classify watershed quality. w was classified into four grades according to the dendrogram and impervious cover model. Watershed quality in 1975 and 2013 was evaluated using the developed indicators and criteria. The quality grades of 30 watersheds deteriorated, and the deteriorated watershed increased built-up and decreased forest and grass. To evaluate the indicators’ applicability, the low impact development (LID) method was applied to HSPF to confirm the indicator and criteria changes. It showed that the watershed to which LID was applied has improved indicator and reduced grade. The indicator developed in this study is expected to be useful for watershed quality assessment and analysis of improvement effects according to watershed management. Full article
(This article belongs to the Special Issue Advanced Hydrological Modeling in Agricultural Engineering)
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