基于地理信息系统(GIS)和数据驱动模型的地下水位损耗监测评述:全球视角与未来挑战

Md. Moniruzzaman Monir , Subaran Chandra Sarker , Abu Reza Md. Towfiqul Islam
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引用次数: 0

摘要

本研究旨在从全球视角全面回顾2000年至2023年期间基于数据驱动模型和地理信息系统方法完成的全球水层耗竭监测研究。综述概述了所综述论文的详细内容,包括地点、时期、时间尺度、主要目标、输入参数、应用模型、性能指标、研究差距、局限性和损耗率。在全球范围内,使用数据驱动模型的平均全球水层损耗率从 2.9 ± 1.56 到 1100 ± 33.76 毫米/年不等;使用基于地理信息系统的方法的平均全球水层损耗率从 7.6 ± 2.98 到 2046 ± 45.27 毫米/年不等。本研究评估了各种关键词之间的关系强度,并使用 Vos-viewer 分析了合著者网络。它根据评估的论文提出了地下水开发战略,为缺水问题提供了长期解决方案。总之,本综述强调了现有的研究空白,并提出了潜在的未来研究路径,以促进相关新知识的发展,提高全球地下水耗竭监测方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges

The present study aims to thoroughly review GWL depletion monitoring studies completed between 2000 and 2023 based on data-driven models and GIS approaches from a global perspective. The review summarizes the details of the reviewed papers, including location, period, time scale, key objective, input parameter, applied model, performance metrics, research gaps, limitations, and depletion rate. The mean rate of GWL depletion varied worldwide from 2.9 ± 1.56 to 1100 ± 33.76 mm/yr using data-driven models and from 7.6 ± 2.98 to 2046 ± 45.27 mm/yr using GIS-based approaches. This study assesses the strength of relationships between various keywords and analyzed co-author networks using the Vos-viewer. It proposes a groundwater development strategy based on the evaluated papers to provide a long-term solution to the water scarcity problem. Overall, this review highlights the existing research gaps and suggests potential future research paths to boost the associated new knowledge and increase the accuracy of the GWL depletion monitoring approaches.

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