Interval multistage joint-probabilistic integer programming approach for water resources allocation and management.
In this study, an interval multistage joint-probabilistic integer programming method was developed to address certain problems in water resource regulation. This method effectively deals with data in the form of intervals and probability distribution. It can also process uncertain data in the form o...
| Published in: | Journal of Environmental Management Vol. 128; pp. 615 - 625 |
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| Main Authors: | , , , |
| Format: | Case Study |
| Published: |
Academic Press Inc.
Oct2013
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=90067497&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 90067497 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Oct2013 vid: 128 pid: 735 pub: Academic Press Inc. artinfo: ui: 90067497 10.1016/j.jenvman.2013.06.013 ppf: 615 ppct: 10 formats: tig: atl: Interval multistage joint-probabilistic integer programming approach for water resources allocation and management. aug: au: Gu, J.J. Huang, G.H. Guo, P. Shen, N. affil: College of Architecture and Art, Heifei University of Technology, Heifei 230009, China Institute of Ecological Simulation and Urban Ecology, Beijing Normal University, Beijing 100875, China Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan S4S 0A2, Canada Energy and Environmental Research Center, North China Electric Power University, Beijing 102206, China College of Water Conservancy and Civil Engineering, China Agricultural University, Beijing, 100083, China Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China su: China Resource allocation Integer programming Water supply management Reservoirs Sensitivity analysis Water shortages Distribution (Probability theory) sug: subj: Resource allocation China Water and Sewer Line and Related Structures Construction Water Supply and Irrigation Systems Integer programming Water supply management Reservoirs Sensitivity analysis Water shortages Distribution (Probability theory) keyword: Dynamic Joint probability Multistage Scenarios Uncertainty Water resources Dynamic Joint probability Multistage Scenarios Uncertainty Water resources ab: In this study, an interval multistage joint-probabilistic integer programming method was developed to address certain problems in water resource regulation. This method effectively deals with data in the form of intervals and probability distribution. It can also process uncertain data in the form of joint probabilities. The proposed method can also reflect the linkage and dynamic variability between particular stages in multi-stage planning. Sensitivity analysis on moderate violations and security constraints showed that the degree of constraint violation was closely linked to the final benefits of the system. The developed method was applied in the case study of the joint-operation of the Tianzhuang and Bashan Reservoirs in Huaihe River, China. In this case study, the proposed method can deal with the water shortage problems downstream and the distribution problems caused by excess water in the reservoir. It can also guarantee the optimization of long-term water usage of both Reservoirs and the river downstream. pubtype: Academic Journal doctype: Case Study src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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