Arid
DOI10.1016/j.advwatres.2016.10.022
A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization
Xue, Jie1,2,3,4; Gui, Dongwei1,2; Lei, Jiaqiang1,2; Sun, Huaiwei5; Zeng, Fanjiang1,2; Feng, Xinlong6
通讯作者Gui, Dongwei ; Lei, Jiaqiang
来源期刊ADVANCES IN WATER RESOURCES
ISSN0309-1708
EISSN1872-9657
出版年2017
卷号110页码:445-458
英文摘要

Agriculture and the eco-environment are increasingly competing for water. The extension of intensive farmland for ensuring food security has resulted in excessive water exploitation by agriculture. Consequently, this has led to a lack of water supply in natural ecosystems. This paper proposes a trade-off framework to coordinate the water-use conflict between agriculture and the eco-environment, based on economic compensation for irrigation stakeholders. A hybrid Bayesian network (HBN) is developed to implement the framework, including: (a) agricultural water shortage assessments after meeting environmental flows; (b) water-use tradeoffanalysis between agricultural irrigation and environmental flows using the HBN; and (c) quantification of the agricultural economic compensation for different irrigation stakeholders. The constructed HBN is computed by dynamic discretization, which is a more robust and accurate propagation algorithm than general static discretization. A case study of the Qira oasis area in Northwest China demonstrates that the water trade-offbased on economic compensation depends on the available water supply and environmental flows at different levels. Agricultural irrigation water extracted for grain crops should be preferentially guaranteed to ensure food security, in spite of higher economic compensation in other cash crops’ irrigation for water coordination. Updating water-saving engineering and adopting drip irrigation technology in agricultural facilities after satisfying environmental flows would greatly relieve agricultural water shortage and save the economic compensation for different irrigation stakeholders. The approach in this study can be easily applied in water-stressed areas worldwide for dealing with water competition. (C) 2016 Elsevier Ltd. All rights reserved.


英文关键词Hybrid Bayesian network Trade-off Environmental flows Agricultural water Economic compensation Dynamic discretization
类型Article
语种英语
国家Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000418262400035
WOS关键词VALUING ECOSYSTEM SERVICES ; YELLOW-RIVER ESTUARY ; TARIM RIVER ; NORTHWEST CHINA ; CLIMATE-CHANGE ; MANAGEMENT ; BASIN ; REQUIREMENTS ; PREDICTION ; FRAMEWORK
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 ; 新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/197045
作者单位1.Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China;
2.Cele Natl Stn Observat & Res Desert Grassland Eco, Cele 848300, Xinjiang, Peoples R China;
3.Chinese Acad Sci, Key Lab Biogeog & Bioresource Arid Zone, Urumqi 830011, Xinjiang, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
5.Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China;
6.Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Xinjiang, Peoples R China
推荐引用方式
GB/T 7714
Xue, Jie,Gui, Dongwei,Lei, Jiaqiang,et al. A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2017,110:445-458.
APA Xue, Jie,Gui, Dongwei,Lei, Jiaqiang,Sun, Huaiwei,Zeng, Fanjiang,&Feng, Xinlong.(2017).A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization.ADVANCES IN WATER RESOURCES,110,445-458.
MLA Xue, Jie,et al."A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization".ADVANCES IN WATER RESOURCES 110(2017):445-458.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xue, Jie]的文章
[Gui, Dongwei]的文章
[Lei, Jiaqiang]的文章
百度学术
百度学术中相似的文章
[Xue, Jie]的文章
[Gui, Dongwei]的文章
[Lei, Jiaqiang]的文章
必应学术
必应学术中相似的文章
[Xue, Jie]的文章
[Gui, Dongwei]的文章
[Lei, Jiaqiang]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。