地理信息系统和遥感在评估土地利用和土地覆盖对地下水系统影响中的应用综述。

IF 5.8 3区 环境科学与生态学 0 ENVIRONMENTAL SCIENCES
Aaqib Ali, Mehvish Bilal
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引用次数: 0

摘要

地下水(GW)是提供全球约一半饮用水供应的重要资源。然而,土地利用和土地覆盖模式的变化对森林的威胁越来越大。本文旨在利用地理信息系统(GIS)和遥感(RS)技术,系统研究陆/LC变化对GW资源、质量、储存和补给的影响。我们遵循基于prisma的文献选择,汇编了200多项相关研究(2000-2024年),这些研究符合定义的纳入标准(重点是LULC-GW联系,使用GIS/RS数据)。关键方法包括多时相卫星图像分析、基于gis的多准则决策分析(如AHP)和与LU/LC数据集成的水文建模(如WetSpass、MODFLOW)。结果表明,城市化和农业扩张是碳水化合物耗竭和污染的主要驱动因素。例如,向建设用地的转变导致补给量显著下降(高达30-50%),含水层中的污染物负荷上升。农业用地扩张与GW中硝酸盐和盐度水平升高密切相关,而森林砍伐和湿地损失往往减少自然补给。事实证明,GIS/RS方法对于绘制脆弱区域和量化LU/LC影响是有效的。规划者和水资源管理者可以利用这些地理空间工具来识别有风险的地下水区,并实施土地管理战略来保护GW。该报告还强调了将气候变化预测和先进技术纳入可持续地下水管理LULC-GW评估的新机会。其中包括用于预测建模的人工智能(AI)和用于实时地下水监测的基于物联网(IoT)的传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive review of GIS and remote sensing applications in assessing land use and land cover impacts on groundwater systems

Groundwater (GW) is a critical resource providing about half of the global drinking water supply​. However, it is increasingly threatened by changing land use (LU) and land cover (LC) patterns. This review aims to systematically examine the impacts of LU/LC changes on GW resources, quality, storage, and recharge using geographic information systems (GIS) and remote sensing (RS) techniques. We followed a PRISMA-based literature selection, compiling over 200 relevant studies (2000–2024) that met defined inclusion criteria (focus on LULC–GW linkages, use of GIS/RS data). The key methods include multi-temporal satellite image analysis, GIS-based multi-criteria decision analysis (e.g., AHP), and hydrological modeling (e.g., WetSpass, MODFLOW) integrated with LU/LC data. The results reveal that urbanization and agricultural expansion are the dominant drivers of GW depletion and contamination. For example, the conversions to built-up land led to significant declines in recharge (up to 30–50%)​ and rising pollutant loads in aquifers. Agricultural land expansion correlates strongly with elevated nitrate and salinity levels in GW, while deforestation and wetland loss often reduce natural recharge. GIS/RS approaches proved effective for mapping vulnerable zones and quantifying LU/LC impacts. Planners and water managers can leverage these geospatial tools to identify at-risk groundwater zones and implement land management strategies to safeguard GW. The review also highlights emerging opportunities to integrate climate change projections and advanced technologies into LULC–GW assessments for sustainable groundwater management. These include artificial intelligence (AI) for predictive modeling and Internet of Things (IoT)-based sensors for real-time groundwater monitoring.

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来源期刊
CiteScore
8.70
自引率
17.20%
发文量
6549
审稿时长
3.8 months
期刊介绍: Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes: - Terrestrial Biology and Ecology - Aquatic Biology and Ecology - Atmospheric Chemistry - Environmental Microbiology/Biobased Energy Sources - Phytoremediation and Ecosystem Restoration - Environmental Analyses and Monitoring - Assessment of Risks and Interactions of Pollutants in the Environment - Conservation Biology and Sustainable Agriculture - Impact of Chemicals/Pollutants on Human and Animal Health It reports from a broad interdisciplinary outlook.
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