Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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![]() ![]() | |
通讯作者 | Gui, Dongwei ; Lei, Jiaqiang |
来源期刊 | ADVANCES IN WATER RESOURCES
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ISSN | 0309-1708 |
EISSN | 1872-9657 |
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. |
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