A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization. (December 2017)
- Record Type:
- Journal Article
- Title:
- A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization. (December 2017)
- Main Title:
- A hybrid Bayesian network approach for trade-offs between environmental flows and agricultural water using dynamic discretization
- Authors:
- Xue, Jie
Gui, Dongwei
Lei, Jiaqiang
Sun, Huaiwei
Zeng, Fanjiang
Feng, Xinlong - Abstract:
- Highlights: A trade-off framework is proposed to coordinate water-use conflict. A hybrid Bayesian network is developed to implement the framework. The network incorporates agricultural economics into environmental flows. The hybrid Bayesian network performs more effectively using dynamic discretization. Abstract: 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 tradeoff analysis 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-off based on economic compensation depends on the available water supply and environmental flows at differentHighlights: A trade-off framework is proposed to coordinate water-use conflict. A hybrid Bayesian network is developed to implement the framework. The network incorporates agricultural economics into environmental flows. The hybrid Bayesian network performs more effectively using dynamic discretization. Abstract: 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 tradeoff analysis 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-off based 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. … (more)
- Is Part Of:
- Advances in water resources. Volume 110(2017)
- Journal:
- Advances in water resources
- Issue:
- Volume 110(2017)
- Issue Display:
- Volume 110, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 110
- Issue:
- 2017
- Issue Sort Value:
- 2017-0110-2017-0000
- Page Start:
- 445
- Page End:
- 458
- Publication Date:
- 2017-12
- Subjects:
- Hybrid Bayesian network -- Trade-off -- Environmental flows -- Agricultural water -- Economic compensation -- Dynamic discretization
Hydrology -- Periodicals
Hydrodynamics -- Periodicals
Hydraulic engineering -- Periodicals
551.48 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03091708 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advwatres.2016.10.022 ↗
- Languages:
- English
- ISSNs:
- 0309-1708
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0712.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5559.xml