{"title":"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。","authors":"Aaqib Ali, Mehvish Bilal","doi":"10.1007/s11356-025-36787-5","DOIUrl":null,"url":null,"abstract":"<div><p>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.\n</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 31","pages":"18631 - 18652"},"PeriodicalIF":5.8000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive review of GIS and remote sensing applications in assessing land use and land cover impacts on groundwater systems\",\"authors\":\"Aaqib Ali, Mehvish Bilal\",\"doi\":\"10.1007/s11356-025-36787-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.\\n</p></div>\",\"PeriodicalId\":545,\"journal\":{\"name\":\"Environmental Science and Pollution Research\",\"volume\":\"32 31\",\"pages\":\"18631 - 18652\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Science and Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11356-025-36787-5\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11356-025-36787-5","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.