Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Ali Nasiri Khiavi, M. Vafakhah, S. Sadeghi
{"title":"Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework","authors":"Ali Nasiri Khiavi, M. Vafakhah, S. Sadeghi","doi":"10.1111/nrm.12380","DOIUrl":null,"url":null,"abstract":"Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way to achieve integrated watershed management (IWM). However, such systematic planning has not been adequately conducted worldwide. Therefore, this study was conducted to develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, and threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted using different multicriteria decision‐making (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, including watershed residents, executive experts, and policymakers, were used to identify the SWOT factors. The number of interviewees in subgroups of local users, policy‐making institutions and executive organization were 75, 13, and 6 respectively. Five different MCDM techniques were then used to calculate the overall weight of SWOT factors. According to the results, the groups of SWOT factors of abundant water resources, severe floods, promotion of environmental conservation culture, and increasing migration of young age groups with respective weights of 0.298, 0.298, 0.372, and 0.279 scored higher than other factors. Based on the overall weights, it can be said that positive factors scored more points than negative factors. Therefore, according to the opinions of the stakeholders, the Cheshmeh–Kileh Watershed was in a good condition based on strengths and opportunities compared to weaknesses and threats, and for this reason, GTA and SAW, which had included the watershed status in the growth and development strategy, were selected as the best method. BWM and TOPSIS provided relatively acceptable results, and the weakest result was associated with VIKOR, which showed the watershed status in the defensive strategy. The present study results can help managers in optimal decisions for planning and optimal management in the Cheshmeh–Kileh Watershed to create ecological balance and increase the welfare of watershed residents.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Resource Modeling","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/nrm.12380","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way to achieve integrated watershed management (IWM). However, such systematic planning has not been adequately conducted worldwide. Therefore, this study was conducted to develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, and threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted using different multicriteria decision‐making (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, including watershed residents, executive experts, and policymakers, were used to identify the SWOT factors. The number of interviewees in subgroups of local users, policy‐making institutions and executive organization were 75, 13, and 6 respectively. Five different MCDM techniques were then used to calculate the overall weight of SWOT factors. According to the results, the groups of SWOT factors of abundant water resources, severe floods, promotion of environmental conservation culture, and increasing migration of young age groups with respective weights of 0.298, 0.298, 0.372, and 0.279 scored higher than other factors. Based on the overall weights, it can be said that positive factors scored more points than negative factors. Therefore, according to the opinions of the stakeholders, the Cheshmeh–Kileh Watershed was in a good condition based on strengths and opportunities compared to weaknesses and threats, and for this reason, GTA and SAW, which had included the watershed status in the growth and development strategy, were selected as the best method. BWM and TOPSIS provided relatively acceptable results, and the weakest result was associated with VIKOR, which showed the watershed status in the defensive strategy. The present study results can help managers in optimal decisions for planning and optimal management in the Cheshmeh–Kileh Watershed to create ecological balance and increase the welfare of watershed residents.
基于MCDM - SWOT的综合流域管理框架开发技术的比较适用性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信