干旱区生态环境知识资源中心(Arid): Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data

Arid

DOI	10.3390/rs13081536
	Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data
	Luo, Biao; Zhang, Fan; Liu, Xiao; Pan, Qi; Guo, Ping
通讯作者	Guo, P (corresponding author), China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:8
英文摘要	To fairly distribute limited irrigation water resources in arid regions, a water allocation priority evaluation method based on remote sensing data was proposed and integrated with an optimization model. First, the water supply response unit was divided according to canal system conditions. Then, a spatialization method was used for generating spatial agricultural output value (income from planting industry) and grain yield (yield of food crops) with the help of NDVI and the potential yield of farmland. Third, the AHP-TOPSIS method was employed to calculate the water allocation priority based on the above information. Finally, the evaluation results were integrated with a nonlinear multiobjective model to optimally allocate agricultural land and water resources, considering the combined objective of minimum envy and proportional fairness. The method was applied to Hetao irrigation area, an arid agriculture-dominant region in Northwest China. After solving the model, optimization alternatives were obtained, which indicate that: (1) the spatial method of agricultural output value can improve the accuracy by around 16% compared with the traditional method, and the spatial method of grain yield also have good accuracy (MAPE = 14.66%); (2) the rank of water allocation priority can reflect more spatial information, and provide practical decision support for the distribution of water resources; (3) the envy index can better improve the efficiency of an allocation system compared to the Gini coefficient method.
英文关键词	spatialization methods statistical data remote sensing AHP-TOPSIS multiobjective programming arid regions in China
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:000644669900001
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京师范大学 ; 中国农业大学 ; 清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351510
作者单位	[Luo, Biao; Pan, Qi; Guo, Ping] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; [Zhang, Fan] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China; [Liu, Xiao] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Luo, Biao,Zhang, Fan,Liu, Xiao,et al. Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data[J]. 北京师范大学, 中国农业大学, 清华大学,2021,13(8).
APA	Luo, Biao,Zhang, Fan,Liu, Xiao,Pan, Qi,&Guo, Ping.(2021).Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data.REMOTE SENSING,13(8).
MLA	Luo, Biao,et al."Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data".REMOTE SENSING 13.8(2021).