Arid
DOI10.3390/w10060768
Evaluation of Agricultural Water Pricing in an Irrigation District Based on a Bayesian Network
Zhu, Xiaotong1,2; Zhang, Guangpeng1,2; Yuan, Kaiye1,2; Ling, Hongbo1; Xu, Hailiang1
通讯作者Ling, Hongbo
来源期刊WATER
ISSN2073-4441
出版年2018
卷号10期号:6
英文摘要

In recent years, the large-scale development of land and water resources has led to a conflict between water supply and demand. Especially in arid regions, fragile ecosystems and continuous farmland expansion have threatened the ecological and social security of river basins. Therefore, it is urgent to propose scientific and reasonable water resource management models to alleviate this conflict. Based on the principle of the strictest water resource management measures for river basin water resources, this study has taken Heshuo County, Xinjiang as the research object, using a full-cost method to determine agricultural water prices for the irrigation district at 0.35 RMB/m(3) and 1.4 RMB/m(3). With the participation of stakeholders and experts, current water rights trading and management systems were analyzed by a Bayesian network (BN) model. In addition, the impact of water-pricing policy on farmers’ planting behavior was also quantified. The results indicated that an increase in water prices can effectively reduce agricultural water consumption for irrigation, but it would also induce negative externalities involving groundwater (GW) preservation and farmers’ income. A water resource management model mainly directed by water-pricing policy, and supplemented by GW protection and agricultural subsidy policies, could effectively regulate farmers’ water-use behavior, guarantee farmers’ income, and protect GW. This study provides a successful management approach for coordinating the relationship between agricultural water resources and the ecological environment in an arid basin watershed and promoting the efficient use of agricultural water resources in irrigated areas.


英文关键词water pricing water use efficiency water resource management Bayesian network
类型Article
语种英语
国家Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000436515100099
WOS关键词RESOURCE-MANAGEMENT ; BELIEF NETWORKS ; COST RECOVERY ; UNCERTAINTY ; SERVICES ; POLICIES ; IMPACTS ; SYSTEMS ; MODELS ; CHINA
WOS类目Water Resources
WOS研究方向Water Resources
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/213601
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Xiaotong,Zhang, Guangpeng,Yuan, Kaiye,et al. Evaluation of Agricultural Water Pricing in an Irrigation District Based on a Bayesian Network[J]. 中国科学院新疆生态与地理研究所,2018,10(6).
APA Zhu, Xiaotong,Zhang, Guangpeng,Yuan, Kaiye,Ling, Hongbo,&Xu, Hailiang.(2018).Evaluation of Agricultural Water Pricing in an Irrigation District Based on a Bayesian Network.WATER,10(6).
MLA Zhu, Xiaotong,et al."Evaluation of Agricultural Water Pricing in an Irrigation District Based on a Bayesian Network".WATER 10.6(2018).
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