Cargando…

A linear bi-level multi-objective program for optimal allocation of water resources

This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper level decision makers (i...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmad, Ijaz, Zhang, Fan, Liu, Junguo, Anjum, Muhammad Naveed, Zaman, Muhammad, Tayyab, Muhammad, Waseem, Muhammad, Farid, Hafiz Umar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812611/
https://www.ncbi.nlm.nih.gov/pubmed/29444132
http://dx.doi.org/10.1371/journal.pone.0192294
_version_ 1783300059149893632
author Ahmad, Ijaz
Zhang, Fan
Liu, Junguo
Anjum, Muhammad Naveed
Zaman, Muhammad
Tayyab, Muhammad
Waseem, Muhammad
Farid, Hafiz Umar
author_facet Ahmad, Ijaz
Zhang, Fan
Liu, Junguo
Anjum, Muhammad Naveed
Zaman, Muhammad
Tayyab, Muhammad
Waseem, Muhammad
Farid, Hafiz Umar
author_sort Ahmad, Ijaz
collection PubMed
description This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper level decision makers (i.e., leader) in the hierarchy, the reservoir managers control the water allocation system and tend to create a balance among the competing water users thereby maximizing the total benefits to the society. On the other hand, the competing water use sectors, being the lower level decision makers (i.e., followers) in the hierarchy, aim only to maximize individual sectoral benefits. This multi-objective bi-level optimization problem can be solved using the simultaneous compromise constraint (SICCON) technique which creates a compromise between upper and lower level decision makers (DMs), and transforms the multi-objective function into a single decision-making problem. The bi-level model developed in this study has been applied to the Swat River basin in Pakistan for the optimal allocation of water resources among competing water demand sectors and different scenarios have been developed. The application of the model in this study shows that the SICCON is a simple, applicable and feasible approach to solve the BLMOLP problem. Finally, the comparisons of the model results show that the optimization model is practical and efficient when it is applied to different conditions with priorities assigned to various water users.
format Online
Article
Text
id pubmed-5812611
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-58126112018-02-28 A linear bi-level multi-objective program for optimal allocation of water resources Ahmad, Ijaz Zhang, Fan Liu, Junguo Anjum, Muhammad Naveed Zaman, Muhammad Tayyab, Muhammad Waseem, Muhammad Farid, Hafiz Umar PLoS One Research Article This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper level decision makers (i.e., leader) in the hierarchy, the reservoir managers control the water allocation system and tend to create a balance among the competing water users thereby maximizing the total benefits to the society. On the other hand, the competing water use sectors, being the lower level decision makers (i.e., followers) in the hierarchy, aim only to maximize individual sectoral benefits. This multi-objective bi-level optimization problem can be solved using the simultaneous compromise constraint (SICCON) technique which creates a compromise between upper and lower level decision makers (DMs), and transforms the multi-objective function into a single decision-making problem. The bi-level model developed in this study has been applied to the Swat River basin in Pakistan for the optimal allocation of water resources among competing water demand sectors and different scenarios have been developed. The application of the model in this study shows that the SICCON is a simple, applicable and feasible approach to solve the BLMOLP problem. Finally, the comparisons of the model results show that the optimization model is practical and efficient when it is applied to different conditions with priorities assigned to various water users. Public Library of Science 2018-02-14 /pmc/articles/PMC5812611/ /pubmed/29444132 http://dx.doi.org/10.1371/journal.pone.0192294 Text en © 2018 Ahmad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ahmad, Ijaz
Zhang, Fan
Liu, Junguo
Anjum, Muhammad Naveed
Zaman, Muhammad
Tayyab, Muhammad
Waseem, Muhammad
Farid, Hafiz Umar
A linear bi-level multi-objective program for optimal allocation of water resources
title A linear bi-level multi-objective program for optimal allocation of water resources
title_full A linear bi-level multi-objective program for optimal allocation of water resources
title_fullStr A linear bi-level multi-objective program for optimal allocation of water resources
title_full_unstemmed A linear bi-level multi-objective program for optimal allocation of water resources
title_short A linear bi-level multi-objective program for optimal allocation of water resources
title_sort linear bi-level multi-objective program for optimal allocation of water resources
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812611/
https://www.ncbi.nlm.nih.gov/pubmed/29444132
http://dx.doi.org/10.1371/journal.pone.0192294
work_keys_str_mv AT ahmadijaz alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT zhangfan alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT liujunguo alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT anjummuhammadnaveed alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT zamanmuhammad alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT tayyabmuhammad alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT waseemmuhammad alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT faridhafizumar alinearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT ahmadijaz linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT zhangfan linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT liujunguo linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT anjummuhammadnaveed linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT zamanmuhammad linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT tayyabmuhammad linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT waseemmuhammad linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources
AT faridhafizumar linearbilevelmultiobjectiveprogramforoptimalallocationofwaterresources