干旱区生态环境知识资源中心(Arid): Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India

Arid

DOI	10.3390/w15112042
	Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India
	Rawat, Akanksha; Panigrahi, Niranjan; Yadav, Basant; Jadav, Kartik; Mohanty, Mohit Prakash; Khouakhi, Abdou; Knox, Jerry W.
通讯作者	Yadav, B
来源期刊	WATER
EISSN	2073-4441
出版年	2023
卷号	15 期号:11
英文摘要	Rainwater harvesting (RWH) has the potential to enhance the sustainability of ground and surface water to meet increasing water demands and constrained supplies, even under a changing climate. Since arid and semi-arid regions frequently experience highly variable spatiotemporal rainfall patterns, rural communities have developed indigenous RWH techniques to capture and store rainwater for multiple uses. However, selecting appropriate sites for RWH, especially across large regions, remains challenging since the data required to evaluate suitability using critical criteria are often lacking. This study aimed to identify the essential criteria and develop a methodology to select potential RWH sites in Rajasthan (India). We combined GIS modeling (multicriteria decision analysis) with applied remote sensing techniques as it has the potential to assess land suitability for RWH. As assessment criteria, spatial datasets relating to land use/cover, rainfall, slope, soil texture, NDVI, and drainage density were considered. Later, weights were assigned to each criterion based on their relative importance to the RWH system, evidence from published literature, local expert advice, and field visits. GIS analyses were used to create RWH suitability maps (high, moderate, and unsuited maps). The sensitivity analysis was also carried out for identified weights to check the inadequacy and inconsistency among preferences. It was estimated that 3.6%, 8.2%, and 27.3% of the study area were highly, moderately, and unsuitable, respectively, for Chauka implementation. Further, sensitivity analysis results show that LULC is highly sensitive and NDVI is the least sensitive parameter in the selected study region, which suggests that changing the weight of these parameters is more likely to decide the outcome. Overall, this study shows the applicability of the GIS-based MCDA approach for up-scaling the traditional RWH systems and its suitability in other regions with similar field conditions, where RWH offers the potential to increase water resource availability and reliability to support rural communities and livelihoods.
英文关键词	Indigenous rainwater harvesting Site suitability Multicriteria decision analysis
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001004673800001
WOS关键词	MANAGED AQUIFER RECHARGE ; SEMIARID REGIONS ; SUITABILITY MAPS ; SITE SELECTION ; GIS TECHNIQUES ; WATER ; IDENTIFICATION ; CONTAMINATION ; GROUNDWATER ; SOIL
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/399031
推荐引用方式 GB/T 7714	Rawat, Akanksha,Panigrahi, Niranjan,Yadav, Basant,et al. Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India[J],2023,15(11).
APA	Rawat, Akanksha.,Panigrahi, Niranjan.,Yadav, Basant.,Jadav, Kartik.,Mohanty, Mohit Prakash.,...&Knox, Jerry W..(2023).Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India.WATER,15(11).
MLA	Rawat, Akanksha,et al."Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India".WATER 15.11(2023).