GIS-based delineation of groundwater potential zones in the Mehran Plain using meta-heuristic optimization techniques

IF 2.5 Q2 REMOTE SENSING

Applied Geomatics Pub Date : 2026-05-28 DOI:10.1007/s12518-026-00749-4

Alireza Vafaeinejad, Sasan Mahmoudi Jam, Alireza Sharifi

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引用次数: 0

Abstract

Groundwater is a critical resource for sustainable development and agriculture in arid regions, such as the Mehran Plain, where accurate delineation of potential zones is essential. This study delineates Groundwater Potential Zones (GWPZs) by integrating GIS with four meta-heuristic optimization algorithms: Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), and Invasive Weed Optimization (IWO). Fourteen thematic layers were weighted using each algorithm to generate GWPZ maps. The novelty of this research lies in the systematic performance comparison and dual-scenario weighting (well-density (well-d) and specific yield (Sy)) of these meta-heuristics. We validated the GWP maps against a Groundwater Flow Intensity-Direction (GFID) map. Quantitative results show that PSO_well-d achieved the highest accuracy with a spatial overlap of 80.2% and an RMSE of 0.202. The ‘Very Suitable’ zones cover 15.4% of the plain, primarily in the western sectors. The integration of GIS with meta-heuristic optimization provides an efficient, data-driven framework for groundwater resource planning in environmentally stressed regions.

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基于gis的马赫兰平原地下水潜力带的元启发式优化圈定

地下水是干旱地区可持续发展和农业的重要资源，如马赫兰平原，在那里准确划定潜在区域是至关重要的。本研究将GIS与粒子群优化（PSO）、蚁群优化（ACO）、人工蜂群优化（ABC）和入侵杂草优化（IWO）四种元启发式优化算法相结合，对地下水潜力带（GWPZs）进行了划分。使用每种算法对14个主题层进行加权以生成GWPZ地图。本研究的新颖之处在于这些元启发式方法的系统性能比较和双场景加权（井密度（well-d）和比产率（Sy））。我们根据地下水流动强度-方向（GFID）图验证了GWP图。定量结果表明，PSO_well-d的空间重叠度为80.2%，均方根误差为0.202，精度最高。“非常适合”的地区覆盖了平原的15.4%，主要在西部地区。GIS与元启发式优化的集成为环境紧张地区的地下水资源规划提供了一个有效的、数据驱动的框架。

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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