Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation

This study associates the fuzzy multi-attribute decision making (FMADM) and the analytic hierarchy process (AHP) to assess the water resources carrying capacity and to tackle uncertain problems of multiple subsystems during its evaluation. For this purpose, the water resources carrying capacity eval...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Qiting Zuo, Jiahang Guo, Junxia Ma, Guotao Cui, Rongxue Yang, Lei Yu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Water resources carrying capacity Xinjiang Uygur Autonomous Region Scenario simulation Fuzzy multiple attribute decision-making Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/35e8d36079a64dca885b0784e66e33ff
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:35e8d36079a64dca885b0784e66e33ff
record_format	dspace
spelling	oai:doaj.org-article:35e8d36079a64dca885b0784e66e33ff2021-12-01T04:58:18ZAssessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation1470-160X10.1016/j.ecolind.2021.108034https://doaj.org/article/35e8d36079a64dca885b0784e66e33ff2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006993https://doaj.org/toc/1470-160XThis study associates the fuzzy multi-attribute decision making (FMADM) and the analytic hierarchy process (AHP) to assess the water resources carrying capacity and to tackle uncertain problems of multiple subsystems during its evaluation. For this purpose, the water resources carrying capacity evaluation index system is proposed, and the AHP-FMADM is used to evaluate the water resources carrying capacity of 15 areas in Xinjiang Uygur Autonomous Region from 2004 to 2017. Several scenarios with different weight-allocation modes are also conducted to study the influence of decision-makers’ preferences on target level. Results show that the water resources carrying capacity of all areas have been gradually improved. Overall, the economic and social indexes present an oscillation pattern with a rising, falling, and rising trend simultaneously in the study period from 2004 to 2017. The water resource utilization index varies with the amount of precipitation and reaches its peak in 2010. The ecological environment index depicts a diminishing overall trend initially before reaching a turning point in 2014. Increasing the water resources utilization and controlling rapid population growth can improve the water resources carrying capacity. The AHP-FMADM can help decision-makers to determine management plans based on their preferences, and the results of the study may contribute towards improving water resources carrying capacity.Qiting ZuoJiahang GuoJunxia MaGuotao CuiRongxue YangLei YuElsevierarticleWater resources carrying capacityXinjiang Uygur Autonomous RegionScenario simulationFuzzy multiple attribute decision-makingEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108034- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Water resources carrying capacity Xinjiang Uygur Autonomous Region Scenario simulation Fuzzy multiple attribute decision-making Ecology QH540-549.5
spellingShingle	Water resources carrying capacity Xinjiang Uygur Autonomous Region Scenario simulation Fuzzy multiple attribute decision-making Ecology QH540-549.5 Qiting Zuo Jiahang Guo Junxia Ma Guotao Cui Rongxue Yang Lei Yu Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
description	This study associates the fuzzy multi-attribute decision making (FMADM) and the analytic hierarchy process (AHP) to assess the water resources carrying capacity and to tackle uncertain problems of multiple subsystems during its evaluation. For this purpose, the water resources carrying capacity evaluation index system is proposed, and the AHP-FMADM is used to evaluate the water resources carrying capacity of 15 areas in Xinjiang Uygur Autonomous Region from 2004 to 2017. Several scenarios with different weight-allocation modes are also conducted to study the influence of decision-makers’ preferences on target level. Results show that the water resources carrying capacity of all areas have been gradually improved. Overall, the economic and social indexes present an oscillation pattern with a rising, falling, and rising trend simultaneously in the study period from 2004 to 2017. The water resource utilization index varies with the amount of precipitation and reaches its peak in 2010. The ecological environment index depicts a diminishing overall trend initially before reaching a turning point in 2014. Increasing the water resources utilization and controlling rapid population growth can improve the water resources carrying capacity. The AHP-FMADM can help decision-makers to determine management plans based on their preferences, and the results of the study may contribute towards improving water resources carrying capacity.
format	article
author	Qiting Zuo Jiahang Guo Junxia Ma Guotao Cui Rongxue Yang Lei Yu
author_facet	Qiting Zuo Jiahang Guo Junxia Ma Guotao Cui Rongxue Yang Lei Yu
author_sort	Qiting Zuo
title	Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
title_short	Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
title_full	Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
title_fullStr	Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
title_full_unstemmed	Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
title_sort	assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/35e8d36079a64dca885b0784e66e33ff
work_keys_str_mv	AT qitingzuo assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation AT jiahangguo assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation AT junxiama assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation AT guotaocui assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation AT rongxueyang assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation AT leiyu assessmentofregionalscalewaterresourcescarryingcapacitybasedonfuzzymultipleattributedecisionmakingandscenariosimulation
_version_	1718405653478768640

Assessment of regional-scale water resources carrying capacity based on fuzzy multiple attribute decision-making and scenario simulation

Ejemplares similares