Two-Stage Interval-Parameter Stochastic Programming Model Based on Adaptive Water Resource Management

Qiang Fu (), Ke Zhao, Dong Liu, Qiuxiang Jiang, Tianxiao Li and Changhong Zhu
Additional contact information
Qiang Fu: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province
Ke Zhao: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province
Dong Liu: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province
Qiuxiang Jiang: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province
Tianxiao Li: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province
Changhong Zhu: School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 6, No 14, 2097-2109

Abstract: Abstract Water resource planning is often associated with system complexities and uncertainties, such as issues of precipitation randomness and complex the complexity of human social activities. In this study, a two-stage interval-parameter stochastic programming (TISP) model in conjunction with an adaptive water resource management (AWRM) model was applied. Compared to other optimization models, AWRM can address interactions between different water users and account for regional water exchange processes, and TISP models overcome the uncertainties of a water resource system by introducing interval-parameter and probability distribution methods. Reasonable solutions obtained by applying these models to a multi-water-resource, multi-region case show that in AWRM models, water can flow from a region of low efficiency to a region of high efficiency, improving water use efficiency. Under conditions of extreme scarcity, water can flow in the opposite direction thus ensuring regional minimum water requirements, enhancing system stability and reducing the probability of system paralysis. In policy making, optimistic water policies correspond to higher incomes but may be subject to higher risks of system failure. Alternatively, conservative policies are associated with a lower risk of system failure but easily waste water resources.

Keywords: Adaptive water resource management; Uncertainty; Adaptation; Two-stage interval-parameter stochastic programming; Water rights trading (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-016-1273-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1273-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-016-1273-2

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().