An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties

The urban water shortage crisis around the world is increasing. In this study, an inexact multi-stage interval-parameter partial information programming model (IMIPM) is proposed for urban water resources planning and management under uncertainties. Optimization techniques of two-stage stochastic pr...

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Autores principales:	Hongguang Chen, Zhongjun Wang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	inexact multistage stochastic programming linear partial information theory uncertainties urban water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/66a02cafa1cc47cfb5930a53eaa2f1d4
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id	oai:doaj.org-article:66a02cafa1cc47cfb5930a53eaa2f1d4
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spelling	oai:doaj.org-article:66a02cafa1cc47cfb5930a53eaa2f1d42021-11-06T07:18:37ZAn inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties1606-97491607-079810.2166/ws.2020.265https://doaj.org/article/66a02cafa1cc47cfb5930a53eaa2f1d42021-08-01T00:00:00Zhttp://ws.iwaponline.com/content/21/5/2139https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798The urban water shortage crisis around the world is increasing. In this study, an inexact multi-stage interval-parameter partial information programming model (IMIPM) is proposed for urban water resources planning and management under uncertainties. Optimization techniques of two-stage stochastic programming (TSP), interval-parameter programming (IPP), linear partial information theory (LPI) and multistage stochastic programming (MSP) are combined into one general framework. IMIPM is used to tackle uncertainties like interval numbers, water inflow probabilities expressed as linear partial information, dynamic features in a long planning time and joint probabilities in water resources management. It is applied to Harbin where the manager needs to allocate water from multi-water sources to multi-water users during multi-planning time periods. Four water flow probability scenarios are obtained, which are associated with uncertainties of urban rainfall information. The results show that the dynamics features and uncertainties of system parameters (such as water allocation targets and shortage) are considered in this model by generating a set of representative scenarios within a multistage context. The results also imply that IMIPM can truly reflect the actual urban water resources management situation, and provide managers with decision-making space and technical support to promote the sustainable development of economics and the ecological environment in cities. HIGHLIGHTS Combine techniques of interval-parameter method, multistage stochastic method, linear partial information theory, and two-stage stochastic programming into one framework.; Authors apply it in a real-world water resources problem.; An interactive algorithm is introduced to deal with this model.; The results can support managers in having multiple decision alternatives.; It can apply in water or other resource problems.;Hongguang ChenZhongjun WangIWA Publishingarticleinexact multistage stochastic programminglinear partial information theoryuncertaintiesurban water resources managementWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 5, Pp 2139-2157 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	inexact multistage stochastic programming linear partial information theory uncertainties urban water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	inexact multistage stochastic programming linear partial information theory uncertainties urban water resources management Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Hongguang Chen Zhongjun Wang An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
description	The urban water shortage crisis around the world is increasing. In this study, an inexact multi-stage interval-parameter partial information programming model (IMIPM) is proposed for urban water resources planning and management under uncertainties. Optimization techniques of two-stage stochastic programming (TSP), interval-parameter programming (IPP), linear partial information theory (LPI) and multistage stochastic programming (MSP) are combined into one general framework. IMIPM is used to tackle uncertainties like interval numbers, water inflow probabilities expressed as linear partial information, dynamic features in a long planning time and joint probabilities in water resources management. It is applied to Harbin where the manager needs to allocate water from multi-water sources to multi-water users during multi-planning time periods. Four water flow probability scenarios are obtained, which are associated with uncertainties of urban rainfall information. The results show that the dynamics features and uncertainties of system parameters (such as water allocation targets and shortage) are considered in this model by generating a set of representative scenarios within a multistage context. The results also imply that IMIPM can truly reflect the actual urban water resources management situation, and provide managers with decision-making space and technical support to promote the sustainable development of economics and the ecological environment in cities. HIGHLIGHTS Combine techniques of interval-parameter method, multistage stochastic method, linear partial information theory, and two-stage stochastic programming into one framework.; Authors apply it in a real-world water resources problem.; An interactive algorithm is introduced to deal with this model.; The results can support managers in having multiple decision alternatives.; It can apply in water or other resource problems.;
format	article
author	Hongguang Chen Zhongjun Wang
author_facet	Hongguang Chen Zhongjun Wang
author_sort	Hongguang Chen
title	An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
title_short	An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
title_full	An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
title_fullStr	An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
title_full_unstemmed	An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
title_sort	inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/66a02cafa1cc47cfb5930a53eaa2f1d4
work_keys_str_mv	AT hongguangchen aninexactmultistageintervalparameterpartialinformationprogrammingmodelforwaterresourcesmanagementunderuncertainties AT zhongjunwang aninexactmultistageintervalparameterpartialinformationprogrammingmodelforwaterresourcesmanagementunderuncertainties AT hongguangchen inexactmultistageintervalparameterpartialinformationprogrammingmodelforwaterresourcesmanagementunderuncertainties AT zhongjunwang inexactmultistageintervalparameterpartialinformationprogrammingmodelforwaterresourcesmanagementunderuncertainties
_version_	1718443797809987584

An inexact multi-stage interval-parameter partial information programming model for water resources management under uncertainties

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