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Engineering Optimization Volume 42, 2010 - Issue 11
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Original Articles

Inexact joint-probabilistic stochastic programming for water resources management under uncertainty

Y. P. Li Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing, 102206, ChinaCorrespondence[email protected]
&
G. H. Huang Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing, 102206, China
Pages 1023-1037 | Received 29 Aug 2009, Accepted 21 Dec 2009, Published online: 02 Aug 2010

Citations (16)

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Read on this site (1)

Liang Cui, Yongping Li & Guohe Huang. (2016) Double-sided fuzzy chance-constrained linear fractional programming approach for water resources management. Engineering Optimization 48:6, pages 949-965.
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Articles from other publishers (15)

Shuwei Jin & Yongping Li. (2023) Analyzing the performance of electricity, heating, and cooling supply nexus in a hybrid energy system of airport under uncertainty. Energy 272, pages 127138.
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J. Lv, Y.P. Li, G.H. Huang, S. Nie, J.W. Gong, Y. Ma & Y. Li. (2021) Synergetic management of energy-water nexus system under uncertainty: An interval bi-level joint-probabilistic programming method. Journal of Cleaner Production 292, pages 125942.
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H.W. Li, Y.P. Li, G.H. Huang & P.P. Gao. (2020) Identifying optimal land-use patterns using a copula-based interval stochastic programming model for urban agglomeration under uncertainty. Ecological Engineering 142, pages 105616.
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Thomas W. Archibald & Sarah E. Marshall. (2018) Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty. Environmental Modeling & Assessment 23:6, pages 753-777.
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X. M. KongG. H. HuangY. P. LiY. R. FanX. T. ZengY. Zhu. (2018) Inexact Copula-Based Stochastic Programming Method for Water Resources Management under Multiple Uncertainties. Journal of Water Resources Planning and Management 144:11.
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Gongchen Li, Wei Sun, Ying Lv, Guanhui Cheng, Yumin Chen & Guo H. Huang. (2017) Interval joint-probabilistic chance-constrained programming with two-side multi-randomness: an application to energy-environment systems management. Stochastic Environmental Research and Risk Assessment 32:7, pages 2093-2110.
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X. T. ZengY. P. LiG. H. HuangJ. Liu. (2016) Modeling Water Trading under Uncertainty for Supporting Water Resources Management in an Arid Region. Journal of Water Resources Planning and Management 142:2.
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Yao Ji, Guo H. Huang & Wei Sun. (2015) Nonpoint-Source Water Quality Management Under Uncertainty Through an Inexact Double-Sided Chance-Constrained Model. Water Resources Management 29:9, pages 3079-3094.
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Mohammad Heydari, Faridah Othman & Kourosh Qaderi. (2015) Developing Optimal Reservoir Operation for Multiple and Multipurpose Reservoirs Using Mathematical Programming. Mathematical Problems in Engineering 2015, pages 1-11.
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Yao Ji, Guo H. Huang & Wei Sun. (2014) Inexact Left-Hand-Side Chance-Constrained Programming for Nonpoint-Source Water Quality Management. Water, Air, & Soil Pollution 225:3.
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Wei Sun, Guo H. Huang, Ying Lv & Gongchen Li. (2013) Inexact joint-probabilistic chance-constrained programming with left-hand-side randomness: An application to solid waste management. European Journal of Operational Research 228:1, pages 217-225.
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Ming Hu, Guo H. Huang, Wei Sun & Yongping P. Li. (2012) Inexact quadratic joint-probabilistic programming for water quality management under uncertainty in the Xiangxi River, China. Stochastic Environmental Research and Risk Assessment 27:5, pages 1115-1132.
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Y. Lv, G. H. Huang, Y. P. Li & W. Sun. (2011) Managing water resources system in a mixed inexact environment using superiority and inferiority measures. Stochastic Environmental Research and Risk Assessment 26:5, pages 681-693.
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Jian Tang, Xinan Yin, ChunXue Yu & Zhifeng Yang. (2012) Suitable Environmental Flow Release Criteria for Both Human and Riverine Ecosystems: Accounting for the Uncertainty of Flows. Mathematical Problems in Engineering 2012, pages 1-14.
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Ying Lv, Guohe Huang, Yongping Li, Zhifeng Yang & Wei Sun. (2011) Development of a Sequential Decision-Making Model for Controlling Multiple Air Pollutants Under Stochastic Uncertainty. Water, Air, & Soil Pollution 223:1, pages 443-465.
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