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DOI	10.1007/s10661-024-13057-4
	Delineating groundwater potential zones using integrated remote sensing and GIS in Lahore, Pakistan
	Yousaf, Bilal; Javid, Kanwal; Mahmood, Shakeel; Habib, Warda; Hussain, Saddam
通讯作者	Mahmood, S
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2024
卷号	196 期号:10
英文摘要	Groundwater depletion and water scarcity are pressing issues in water-limited regions worldwide, including Pakistan, where it ranks as the third-largest user of groundwater. Lahore, Pakistan, grapples with severe groundwater depletion due to factors like population growth and increased agricultural land use. This study aims to address the lack of comprehensive groundwater availability data in Lahore's semi-arid region by employing GIS techniques and remote sensing data. Various parameters, including Land Use and Land Cover (LULC), Rainfall, Drainage Density (DD), Water Depth, Soil Type, Slope, Population Density, Road Density, Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI), Moisture Stress Index (MSI), Water Vegetation Water Index (WVWI), and Land Surface Temperature (LST), are considered. Thematic layers of these parameters are assigned different weights based on previous literature, reclassified, and superimposed in weighted overlay tool to develop a groundwater potential zones index map for Lahore. The groundwater recharge potential zones are categorized into five classes: Extremely Bad, Bad, Mediocre, Good, and Extremely Good. The groundwater potential zone index (GWPZI) map of Lahore reveals that the majority falls within the Bad to Mediocre recharge potential zones, covering 33% and 28% of the total land area in Lahore, respectively. Additionally, 14% of the total area falls under the category of Extremely Bad recharge potential zones, while Good to Extremely Good areas cover 19% and 6%, respectively. By providing policymakers and water supply authorities with valuable insights, this study underscores the significance of GIS techniques in groundwater management. Implementing the findings can aid in addressing Lahore's groundwater challenges and formulating sustainable water management strategies for the city's future.
英文关键词	Groundwater Land Surface Temperature LULC Moisture Stress Index NDBI NDVI Remote sensing GIS
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001304018500002
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403607
推荐引用方式 GB/T 7714	Yousaf, Bilal,Javid, Kanwal,Mahmood, Shakeel,et al. Delineating groundwater potential zones using integrated remote sensing and GIS in Lahore, Pakistan[J],2024,196(10).
APA	Yousaf, Bilal,Javid, Kanwal,Mahmood, Shakeel,Habib, Warda,&Hussain, Saddam.(2024).Delineating groundwater potential zones using integrated remote sensing and GIS in Lahore, Pakistan.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(10).
MLA	Yousaf, Bilal,et al."Delineating groundwater potential zones using integrated remote sensing and GIS in Lahore, Pakistan".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.10(2024).