干旱区生态环境知识资源中心(Arid): A market-based mechanism for long-term groundwater management using remotely sensed data

Arid

DOI	10.1016/j.jenvman.2023.117409
	A market-based mechanism for long-term groundwater management using remotely sensed data
	Safari, Safoura; Sharghi, Soroush; Kerachian, Reza; Noory, Hamideh
通讯作者	Kerachian, R
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2023
卷号	332
英文摘要	Groundwater markets improve the agricultural economy by transferring water entitlements from low-efficient users to high-efficient ones to maximize productivity. Aiming at developing an efficient groundwater market, the environmental effects of the market mechanism should be assessed, and a reliable method for monitoring water consumption needs to be employed. Toward this end, this paper proposes three annual smart groundwater market mechanisms to maximize water net benefits, minimize groundwater withdrawal, and precisely measure water consumption in agricultural fields. To guarantee the aquifer's safe yield in each mechanism, a groundwater simulation model (i.e., Groundwater Modeling System (GMS)) is used to control groundwater table drawdown at the end of the planning horizon. In addition, the fields' evapotranspiration (ET) is estimated using Surface Energy Balance Algorithm for Land (SEBAL) and Mapping Evapo Transpiration at high Resolution with Internalized Calibration (METRIC) algorithm to measure the net groundwater consumption during the market. In this regard, we evaluated the algorithms' performances using observed data from a local lysimeter. They are applied to the Nough plain in Iran to assess the effectiveness of the proposed market framework. The findings illustrate their efficiency in recovering approximately 80% (23.33 million cubic meters (MCM)) of groundwater loss due to overexploitation in the study area and increasing the users' annual benefits by 10.6% compared to the non -market condition. In addition, results imply that the METRIC model approximates daily crop ET with a higher accuracy level than the SEBAL model with RMSE, MAE, and Percentage Error of 0.37 mm/day, 0.32 mm/day, and 14.92%, respectively. This research revealed that the proposed market framework is a powerful tool for reallocating water entitlements and increasing water productivity in arid and semi-arid regions.
英文关键词	Smart groundwater market Groundwater management Groundwater entitlement Remote sensing METRIC SEBAL
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000934274400001
WOS关键词	ENERGY-BALANCE ; EVAPOTRANSPIRATION ; ALGORITHM ; SURFACE ; MODELS
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/2XILL650/397279
推荐引用方式 GB/T 7714	Safari, Safoura,Sharghi, Soroush,Kerachian, Reza,et al. A market-based mechanism for long-term groundwater management using remotely sensed data[J],2023,332.
APA	Safari, Safoura,Sharghi, Soroush,Kerachian, Reza,&Noory, Hamideh.(2023).A market-based mechanism for long-term groundwater management using remotely sensed data.JOURNAL OF ENVIRONMENTAL MANAGEMENT,332.
MLA	Safari, Safoura,et al."A market-based mechanism for long-term groundwater management using remotely sensed data".JOURNAL OF ENVIRONMENTAL MANAGEMENT 332(2023).