Groundwater artificial recharge indexing using fuzzy catastrophe membership functions

IF 2.3 Q2 REMOTE SENSING

Applied Geomatics Pub Date : 2025-04-21 DOI:10.1007/s12518-025-00628-4

Masoumeh Khorasani Alamdari, Sina Sadeghfam, Ali Ehsanitabar, Ata Allah Nadiri, Sahar Darvishi, Mohamad Alizadeh Noughani, Rokhshad Hejazi

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引用次数: 0

Abstract

Water shortages have resulted from the unsustainable exploitation of aquifers, the increased need for agricultural and drinking water, the pollution of surface water resources, and reduced water resources. Replenishment of groundwater resources through artificial or natural recharge (from rainfall and runoff) is one of the ways to compensate for this issue. The data layers used in site selection for Groundwater artificial recharge (GWR) are heterogeneous and, therefore, cannot be directly integrated. Catastrophe Fuzzy Membership (CFM) functions are among the latest advances in this field, making it possible to integrate various types of data layers. However, the type of catastrophe function and fuzzy membership intervals are determined based on expert opinion. This study determined the final weights of criteria and sub-criteria, and 16 indicators and 76 sub-criteria were selected to evaluate potential sites for artificial recharge in Tabriz Plain, Iran. The results showed that the areas with gentle slopes in the center of the study area have great potential for groundwater recharge, while the mountainous areas in the north and South are unsuitable. The final suitability map was created using remote sensing (RS) and Geographic Information System (GIS) software.

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基于模糊突变隶属函数的地下水人工补给指标研究

水资源短缺的原因是对含水层的不可持续的开采、对农业用水和饮用水需求的增加、地表水资源的污染以及水资源的减少。通过人工或自然补给（来自降雨和径流）来补充地下水资源是补偿这一问题的方法之一。地下水人工回灌选址中使用的数据层是异构的，不能直接整合。突变模糊隶属函数（CFM）是该领域的最新进展之一，它使集成各种类型的数据层成为可能。然而，突变函数的类型和模糊隶属区间是根据专家意见确定的。本研究确定了标准和分标准的最终权重，并选择了16个指标和76个分标准对伊朗大不里士平原的潜在人工补给点进行了评价。结果表明：研究区中部缓坡地区地下水补给潜力较大，而北部和南部山区地下水补给潜力较大；利用遥感（RS）和地理信息系统（GIS）软件绘制最终的适宜性图。

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来源期刊

Applied Geomatics REMOTE SENSING-

CiteScore

5.40

自引率

3.70%

发文量

期刊介绍： Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements