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Advances in Integrated Watershed Modeling and Decision Support for Watershed...
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Advances in Integrated Watershed Modeling and Decision Support for Watershed Management

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 6335

Special Issue Editor

Prof. Dr. Cheng-Zhi Qin

E-Mail Website
Guest Editor
State Key Laboratory of Resources & Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: digital terrain analysis; watershed modeling and BMPs scenario analysis; digital soil mapping; intelligent geographical modeling; parallel geocomputation

Special Issue Information

Dear Colleagues,

Scenario analysis and spatial optimization of best management practices (BMPs) based on watershed processes simulation coupled with intelligent optimization algorithms is an effective simulation-based framework which can detailedly evaluate the environmental effectiveness and cost-benefit of potential landuse configurations in advance and recommend those optimal scenarios. This framework is extremely valuable for watershed management planning in the context of climate change, sustainable development goals (SDGs), and decision-making with multiple stakeholders. In recent years, multidisciplinary researches are facilitating and accelerating progress in almost all parts of this framework, such as integrated watershed modeling, high-performance computation of spatially distributed watershed models, intelligent modeling, participatory spatial plan, new types of spatial units for configuring BMP scenarios, intelligent spatial optimization, and corresponding easy-to-use tools.

This special issue aims to collect original research and review articles on the recent advances in integrated watershed modeling and decision support for watershed management, including, but not limited to, methods, tools, and applications of integrated watershed modeling, high-performance watershed simulation, scenario analysis and spatial optimization of watershed BMPs.

Prof. Dr. Cheng-Zhi Qin
Guest Editor

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

  • Watershed manangement
  • Best Management Practice (BMP)
  • Scenario analysis
  • Spatial optimization
  • Integrated watershed modeling
  • Intelligent modeling
  • Decision support tool

Published Papers (2 papers)

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Research

16 pages, 34665 KiB  
Article
A Socio-Hydrological Unit Division and Confluence Relationship Generation Method for Human–Water Systems
by Huanyu Chang, Xuefeng Sang, Guohua He, Qingming Wang, Jiaxuan Chang, Rong Liu, Haihong Li and Yong Zhao
Water 2022, 14(13), 2074; https://doi.org/10.3390/w14132074 - 29 Jun 2022
Cited by 2 | Viewed by 1777
Abstract
Studies on human activities and the natural water cycle as a coupled system are essential for effective water resource management in river basins. However, existing calculation methods based solely on the natural water cycle do not meet the accuracy requirements of natural society [...] Read more.
Studies on human activities and the natural water cycle as a coupled system are essential for effective water resource management in river basins. However, existing calculation methods based solely on the natural water cycle do not meet the accuracy requirements of natural society dualistic water cycle simulations. Therefore, it is necessary to establish a more scientific and reasonable calculation unit division method and river confluence relationship determination method. This paper presents a socio-hydrological unit with natural society dual characteristics based on both the hydrological characteristics and the social administrative characteristics of the river basin. According to the elevation of the river buffer zone, river confluence relationships among socio-hydrological units are determined, and upstream and downstream confluence of the human–water system is obtained. Finally, a case study of the Jing-Jin-Ji region in China, an area of intensive human activities, was performed. A reliability of 94.3% was reached using the proposed socio-hydrological unit division and river confluence calculation method, suggesting that the approach is highly applicable. Thus, the proposed method for generating socio-hydrological units and determining river confluence relationships can be applied to study the mutual influence and spatial distribution characteristics of natural society dualistic water cycles. The data requirement is minimal, and the approach can provide benefits in research on human water systems. Full article
(This article belongs to the Special Issue Advances in Integrated Watershed Modeling and Decision Support for Watershed Management)
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20 pages, 3971 KiB  
Article
Research on Water Quality Simulation and Water Environmental Capacity in Lushui River Based on WASP Model
by Nicolas Obin, Hongni Tao, Fei Ge and Xingwang Liu
Water 2021, 13(20), 2819; https://doi.org/10.3390/w13202819 - 11 Oct 2021
Cited by 10 | Viewed by 3600
Abstract
In recent years, the severe deterioration of water quality and eutrophication in the Yangtze River has brought much trouble to people’s lives. Because of this, numerous management departments have paid more and more attention to the treatment of the water environment. In order [...] Read more.
In recent years, the severe deterioration of water quality and eutrophication in the Yangtze River has brought much trouble to people’s lives. Because of this, numerous management departments have paid more and more attention to the treatment of the water environment. In order to respond to water environmental protection policy and provide management departments with a basis for refining water quality, this paper takes the Zhuzhou section of Yangtze River-Lushui watershed as its research object. First, we used the Water Quality Analysis Simulation Program (WASP) model as a tool, and obtained the pollution load using the FLUX method formula. During the calibration process, the sensitivity analysis method, the orthogonal design method, and the trial and error method were used. Then, we verified the results by using water quality monitoring data published by Zhuzhou Ecological Environment Bureau. Following that, the water environmental capacity of the Lushui River in normal, wet and dry periods was calculated using the WASP model: the chemical oxygen demand (COD) was 14,072.94 tons/yr, 17,147.7 tons/yr and 10,998.18 tons/yr, respectively; ammonia nitrogen (AN) was 469.098 tons/yr, 571.59 tons/yr and 366.606 tons/yr, respectively; and total phosphorus (TP) was 93.8196 tons/yr, 114.318 tons/yr and 73.3212 tons/yr, respectively. The results show that the WASP model is applicable and reliable and can be used as an effective tool for water quality prediction and management in this area. Full article
(This article belongs to the Special Issue Advances in Integrated Watershed Modeling and Decision Support for Watershed Management)
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