AHP and FAHP-based multi-criteria analysis for suitable dam location analysis: a case study of the Bagmati Basin, Nepal

IF 3.9 3区 环境科学与生态学 Q1 ENGINEERING, CIVIL
Shiksha Bastola, Binay Shakya, Yeongjeong Seong, Beomgu Kim, Younghun Jung
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Abstract

The Bagmati River Basin is experiencing significant water stress due to a reduction of surface and groundwater resources, especially during the dry season. The basin’s heavy reliance on monsoon-dominated precipitation, without the buffer of snow or glacier melt, exacerbates these issues. Dam construction is seen as a viable solution for maintaining river flow and regulating river ecosystems. Thus, this study leveraged multi-criteria decision-making tools, particularly the analytical hierarchy process (AHP) and fuzzy AHP (FAHP) in conjunction with the Geographic Information System(GIS), to identify suitable dam construction sites in the Bagmati River Basin. Through an extensive literature review, nine criteria were identified: stream density, rainfall, slope, land use, elevation, soil type, distance from faults, distance from settlements, and distance from roads. Pairwise comparison matrices, based on expert surveys, were used to assign weights to each criterion, with validation against existing and proposed dams. Results show that approximately 31% of the basin area is suitable for dam construction, with about 4.45% area being highly suitable. FAHP only slightly outperforms AHP in assessing existing dam locations, demonstrating the robustness of both methodologies. For the validation of suitability analysis, location of existing dams are compared. While Nepal is not generally water-stressed, inter-seasonal water availability is high. Dam construction for multiple uses is nascent in Nepal, and location analysis studies are rare. The methodology used here can be replicated in other regions, offering valuable insights for decision-makers.

Abstract Image

基于 AHP 和 FAHP 的多标准分析法进行大坝选址分析:尼泊尔巴格马蒂盆地案例研究
由于地表水和地下水资源减少,尤其是在旱季,巴格马蒂河流域正面临着巨大的水资源压力。该流域严重依赖季风降水,没有积雪或冰川融水的缓冲,加剧了这些问题。修建大坝被视为维持河流流量和调节河流生态系统的可行解决方案。因此,本研究利用多标准决策工具,特别是结合地理信息系统(GIS)的层次分析法(AHP)和模糊层次分析法(FAHP),来确定巴格马蒂河流域合适的大坝建设地点。通过广泛的文献查阅,确定了九项标准:溪流密度、降雨量、坡度、土地利用、海拔高度、土壤类型、与断层的距离、与居民点的距离以及与道路的距离。在专家调查的基础上,使用配对比较矩阵为每项标准分配权重,并与现有和拟建的大坝进行验证。结果表明,约有 31% 的流域面积适合建造大坝,其中约有 4.45% 的面积非常适合。在评估现有大坝位置方面,FAHP 仅略微优于 AHP,这表明这两种方法都很稳健。为了验证适宜性分析,对现有大坝的位置进行了比较。虽然尼泊尔总体上并不缺水,但季节间可用水量很高。在尼泊尔,用于多种用途的水坝建设刚刚起步,位置分析研究也很少见。这里使用的方法可在其他地区推广,为决策者提供宝贵的见解。
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来源期刊
CiteScore
7.10
自引率
9.50%
发文量
189
审稿时长
3.8 months
期刊介绍: Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.
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