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- Publisher Website: 10.1007/s11269-019-02453-y
- Scopus: eid_2-s2.0-85079114590
- WOS: WOS:000515816400002
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Article: Basin Initial Water Rights Allocation under Multiple Uncertainties: a Trade-off Analysis
Title | Basin Initial Water Rights Allocation under Multiple Uncertainties: a Trade-off Analysis |
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Authors | |
Keywords | Conditional value-at-risk Industrial structure adjustment ITSP Trade-off Water rights allocation |
Issue Date | 2020 |
Citation | Water Resources Management, 2020, v. 34, n. 3, p. 955-988 How to Cite? |
Abstract | Economic losses and inequities caused by uncertainties in the availability of water intensify the competition between water sectors, making the allocation of water rights of vital importance for minimizing water conflicts. In this study, an Interval-parameter Two-stage Stochastic Programming (ITSP) model for water rights allocation is developed that contains an industrial allocation preference coefficient and involves the risk control of Conditional Value-at-Risk theory and Gini coefficient constraints (ITSP-CG). Using China’s Taihu Basin as a case study, it is shown that optimized water rights allocation schemes can reduce the risk of inequitable localized water deficits, a narrower confidence interval results in higher economic loss, and, when the confidence level is fixed, tighter control of water availability results in water efficient sectors having an increasing preference for allocation schemes. It is also shown that Basin Authorities need to trade-off the equitable allocation of water rights and economic returns over a particular planning period. |
Persistent Identifier | http://hdl.handle.net/10722/333415 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 0.898 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Lina | - |
dc.contributor.author | Zhang, Xiaoling | - |
dc.contributor.author | Wu, Fengping | - |
dc.contributor.author | Pang, Qinghua | - |
dc.date.accessioned | 2023-10-06T05:19:12Z | - |
dc.date.available | 2023-10-06T05:19:12Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Water Resources Management, 2020, v. 34, n. 3, p. 955-988 | - |
dc.identifier.issn | 0920-4741 | - |
dc.identifier.uri | http://hdl.handle.net/10722/333415 | - |
dc.description.abstract | Economic losses and inequities caused by uncertainties in the availability of water intensify the competition between water sectors, making the allocation of water rights of vital importance for minimizing water conflicts. In this study, an Interval-parameter Two-stage Stochastic Programming (ITSP) model for water rights allocation is developed that contains an industrial allocation preference coefficient and involves the risk control of Conditional Value-at-Risk theory and Gini coefficient constraints (ITSP-CG). Using China’s Taihu Basin as a case study, it is shown that optimized water rights allocation schemes can reduce the risk of inequitable localized water deficits, a narrower confidence interval results in higher economic loss, and, when the confidence level is fixed, tighter control of water availability results in water efficient sectors having an increasing preference for allocation schemes. It is also shown that Basin Authorities need to trade-off the equitable allocation of water rights and economic returns over a particular planning period. | - |
dc.language | eng | - |
dc.relation.ispartof | Water Resources Management | - |
dc.subject | Conditional value-at-risk | - |
dc.subject | Industrial structure adjustment | - |
dc.subject | ITSP | - |
dc.subject | Trade-off | - |
dc.subject | Water rights allocation | - |
dc.title | Basin Initial Water Rights Allocation under Multiple Uncertainties: a Trade-off Analysis | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11269-019-02453-y | - |
dc.identifier.scopus | eid_2-s2.0-85079114590 | - |
dc.identifier.volume | 34 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 955 | - |
dc.identifier.epage | 988 | - |
dc.identifier.eissn | 1573-1650 | - |
dc.identifier.isi | WOS:000515816400002 | - |