干旱区生态环境知识资源中心(Arid): Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal

Arid

DOI	10.1016/j.heliyon.2024.e31281
	Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal
	Dhakal, Sandesh; Subedi, Rajan; Kandel, Saroj; Shrestha, Saurav
通讯作者	Dhakal, S
来源期刊	HELIYON
EISSN	2405-8440
出版年	2024
卷号	10 期号:10
英文摘要	Groundwater is the fundamental component of the hydrological system that acts as a major factor in comprehensions of the physical processes in both the land surface and the atmosphere. Determining groundwater, which directly affects the agricultural productivity of semi-arid mountainous regions, is crucial. Mountain ecosystems, once abundant with flowing water, now face immense pressure from a changing climate, evident in the drying of springs and the diminishing flow of groundwater. Ensuring a steady flow of water, fair access to it, and responsible use are the cornerstones of a secure future for mountain communities. This study aims to assess the groundwater potential zones using remote sensing and a geospatial approach in the Mustang Valley's rural municipalities (Thasang and Gharapjhong). Nine factors were assigned to assess the groundwater potential map: slope, drainage density, lineament density, geology, soil, land use/land cover, rainfall, aspect, and soil moisture. The Bayesian weights of evidence model was used to delineate the groundwater potential zone. The study categorized groundwater potential across the region, creating five zones: very high, high, moderate, low, and very low. These zones covered 0.6 %, 12.4 %, 51.2 %, 35.5 %, and 0.3 % of the study area. The accuracy of the groundwater potential map was assessed by comparing its predictions with the actual locations of springs, using the area under the curve metric. The receiver operating characteristics curve analysis yielded an area under the curve of 0.7226, indicating a 72.26 % accuracy in predicting the presence of groundwater. The findings of this paper contribute to a better understanding of groundwater potential zones, which can support policymakers and planners for hydrological, meteorological, and crop planning applications in this climatically vulnerable region.
英文关键词	Bayesian weight of evidence GIS Modified Dubois and Topps model Mustang Soil moisture
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001243281600001
WOS关键词	CLIMATE-CHANGE ; WATER-RESOURCES ; DISTRICT ; BLOCK
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404031
推荐引用方式 GB/T 7714	Dhakal, Sandesh,Subedi, Rajan,Kandel, Saroj,et al. Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal[J],2024,10(10).
APA	Dhakal, Sandesh,Subedi, Rajan,Kandel, Saroj,&Shrestha, Saurav.(2024).Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal.HELIYON,10(10).
MLA	Dhakal, Sandesh,et al."Remote sensing and geospatial approach: Optimizing groundwater exploration in semi-arid region, Nepal".HELIYON 10.10(2024).