An Integrated Fuzzy Shannon Entropy and Fuzzy ARAS Model Using Risk Indicators for Water Resources Management Under Uncertainty

Sustainability, Год журнала: 2025, Номер 17(11), С. 5108 - 5108

Опубликована: Июнь 2, 2025

The water issue is undoubtedly one of the most fundamental challenges and controversial issues current century. These days, best options for managing resources can be chosen by considering several indexes, such as political, social, environmental criteria. overall goal this research to propose an integrated model fuzzy Shannon entropy Fuzzy Additive Ratio Assessment (ARAS) that uses risk indexes manage in drought conditions. To achieve research, first, factors are identified selected based on literature review. In previous studies, indicators were employed resource management, separately. However, paper extracted extensive list from prior studies all these management. Furthermore, four scenarios management Chaharmahal Bakhtiari province introduced according geographical characteristics, climate, economic agricultural conditions province. Then, a questionnaire designed distributed among experts field After collecting data, proposed method implemented data. used determine weights indicators, while ARAS applied ranking scenarios. results applying reveal three volume reliability, vulnerability, sustainability supply system, with weight values 0.124, 0.119, 0.118, respectively, effective indexes. implementing show changing cultivation pattern score 0.936 placed first priority, reducing demand sector 0.922 second type irrigation system 0.896 third reduction industrial drinking consumption 0.882 fourth priority. Finally, increase reliability cropping change studied

Язык: Английский

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Research on the Jiamusi Area’s Shallow Groundwater Recharge Using Remote Sensing and the SWAT Model

Applied Sciences, Год журнала: 2024, Номер 14(16), С. 7220 - 7220

Опубликована: Авг. 16, 2024

Jiamusi is situated in Heilongjiang Province, China, the center of Sanjiang Plain. The 1980s’ overplanting paddy fields resulted a decrease groundwater levels, scarcity resources, and frequent earth collapses. Examining safeguarding resources this region has emerged as crucial subject. In light this, paper uses remote sensing water balance method SWAT distributed hydrological model to calculate area. It also conducts scientific experiments by examining various factors, including rainfall, degree supply, soil type, land use. measured monthly runoff City’s Tongjiang Fuyuan hydrology stations was utilized establish parameters for model. A preliminary assessment distribution features shallow area conducted using two methodologies mentioned above, following results are reached: (1) Hydrological Station both had good modeling results, with R2 NS values 0.81, 0.77, 0.75, respectively. (2) works well assessing resources. Between 2010 2016 (two preheating years), Jiamusi’s average recharge 61.03 × 108 m3, recoverable amount 27.4 m3. (3) Based on balancing approach, exploitable quantity between 2008 23.94 while 53.2 (4) metropolitan core phreatic reservoir reserves, which progressively decline northeast southeast directions. falls southwest center. Songhua River’s main stream near City least volume reserves layer, area’s converge northwest, where surface makes up majority

Язык: Английский

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Groundwater quality assessment for drinking and irrigation purposes by utilizing integrated water quality indexes in a semi-arid region, SE Sfax area, Tunisia

Euro-Mediterranean Journal for Environmental Integration, Год журнала: 2024, Номер unknown

Опубликована: Авг. 22, 2024

Язык: Английский

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A study of lightning disaster assessment and zoning on the Qinghai Plateau

All Earth, Год журнала: 2024, Номер 37(1), С. 1 - 15

Опубликована: Дек. 30, 2024

With the development of society, including proliferation high-rise buildings, modern electronic facilities, and public service areas, occurrence lightning events resulting losses have been rising year by year, manifesting in diverse ways. Therefore, this study develops a comprehensive framework to assess disaster risk across Qinghai Province. Utilising statistical data on along with socio-economic indicators, we establish multi-dimensional index system for assessment, which incorporates causative hazard factors, exposure levels, vulnerability characteristics. Combined analytic hierarchy process (AHP) quantify different regions, revealing that extremely high-risk, moderate-risk areas comprise 21.83%, 44.41% 33.76% province, respectively. This distribution underscores need region-specific protection strategies: enhancing protective infrastructure technical inspections economically advanced improving awareness education risks less developed regions. The findings provide critical, data-driven support targeted prevention management Plateau.

Язык: Английский

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Mapping the Potential of Managed Aquifer Recharge in Africa: GIS-based Multi-Criteria Decision Analysis Approach

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101374 - 101374

Опубликована: Ноя. 1, 2024

Язык: Английский

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