Arid
DOI10.1016/j.jclepro.2021.127439
A novel approach to dynamically optimize the spatio-temporal distribution of crop water consumption
Fan, Yunfei; He, Liuyue; Kang, Shaozhong; Wang, Sufen; Fang, Yu
通讯作者Wang, SF (corresponding author), China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China.
来源期刊JOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
EISSN1879-1786
出版年2021
卷号310
英文摘要The finite water resources are the main factors limiting agricultural sustainable development in arid and semiarid zones. In these water-scarce areas, optimizing limited water resources is an important way to reduce water consumption, increase crop yields and improve regional economic benefits. In this study, a CA-Jensen optimization model integrating cellular automata method and crop water production function into multi-objective dynamic optimization was developed and applied to the middle reaches of the Heihe River basin in the Northwest China to adjust the spatial distribution of cropland and the spatiotemporal allocation of crop water consumption. The net economic benefits of unit water, the crop water productivity and the value of the terrestrial ecosystem services represented the economic, social and ecological benefits in the objective function of the optimization model respectively. Adaptive cellular genetic algorithm was utilized to search and solve the optimization model. The obtained optimization results of the base year (2015) showed that the net benefits of unit water increased by 4.5% and the crop water productivity increased by 28.6%. In addition, for the target year (2030), although the reduction of agricultural water and cultivated land by 12.95% and 18.63% respectively led to a decrease of total economic benefits by 15.72%, the net benefits of unit water and social benefits got increased by 15.71% and 20.52%, respectively. Therefore, the optimization model can provide decision makers with guidance on the rational allocation of regional agricultural water resources in the future.
英文关键词Crop water consumption Cellular automata Jensen model Spatio-temporal optimization Grid-scale
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000663762000002
WOS关键词HEIHE RIVER-BASIN ; CELLULAR-AUTOMATA MODEL ; USE EFFICIENCY ; MIDDLE REACHES ; CLIMATE-CHANGE ; SUSTAINABLE AGRICULTURE ; GENETIC ALGORITHM ; SAVING PRACTICES ; SPRING WHEAT ; IRRIGATION
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
来源机构中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/368535
作者单位[Fan, Yunfei; He, Liuyue; Kang, Shaozhong; Wang, Sufen; Fang, Yu] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; [Fan, Yunfei; He, Liuyue; Kang, Shaozhong; Wang, Sufen; Fang, Yu] Minist Agr & Rural Affairs, Wuwei Expt Stn Efficient Water Use Agr, Wuwei 733000, Peoples R China
推荐引用方式
GB/T 7714
Fan, Yunfei,He, Liuyue,Kang, Shaozhong,et al. A novel approach to dynamically optimize the spatio-temporal distribution of crop water consumption[J]. 中国农业大学,2021,310.
APA Fan, Yunfei,He, Liuyue,Kang, Shaozhong,Wang, Sufen,&Fang, Yu.(2021).A novel approach to dynamically optimize the spatio-temporal distribution of crop water consumption.JOURNAL OF CLEANER PRODUCTION,310.
MLA Fan, Yunfei,et al."A novel approach to dynamically optimize the spatio-temporal distribution of crop water consumption".JOURNAL OF CLEANER PRODUCTION 310(2021).
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