Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model

[Objective] The ecological carrying capacity of Qinghai Province and its cities and prefectures were quantitatively measured to reveal its spatial and temporal evolution characteristics, in order to provide a reference for the sustainable development of Qinghai Province. [Methods] The ecological car...

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Main Authors: Li Xiaoyong, Jia Haifa, Zhao Wanmei
Format: Article
Language:zho
Published: Science Press 2022-04-01
Series:Shuitu baochi tongbao
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Online Access:http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220223
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author Li Xiaoyong
Jia Haifa
Zhao Wanmei
author_facet Li Xiaoyong
Jia Haifa
Zhao Wanmei
author_sort Li Xiaoyong
collection DOAJ
description [Objective] The ecological carrying capacity of Qinghai Province and its cities and prefectures were quantitatively measured to reveal its spatial and temporal evolution characteristics, in order to provide a reference for the sustainable development of Qinghai Province. [Methods] The ecological carrying capacity evaluation index system was constructed using the DPSIR model and considering five factors: driving force, pressure, state, impact, and response. The entropy value method was applied to determine the weight coefficients of the indexes. The TOPSIS model and the obstacle degree model were used to measure and analyze the ecological carrying capacity and the impact factors for Qinghai Province and its cities and prefectures from 2008 to 2019. [Results] Ecological carrying capacity of Qinghai Province and its cities and prefectures increased significantly from 2008 to 2019. Ecological carrying capacity of cities and prefectures in Qinghai Province differed spatially, with the two eastern cities having greater carrying capacity than other regions. The main factors influencing ecological carrying capacity in Qinghai Province from 2008 to 2019 have generally undergone a transformation that follows the pattern of social development-environmental pollution-population pressure and economic growth rate. [Conclusion] The ecological carrying capacity of Qinghai Province has increased significantly during 2008—2019, but the ecological situation remains severe. Policies regarding ecological protection should be actively implemented, the speed of social and economic development should be accelerated, and the ecological carrying capacity of cities and prefectures should be comprehensively improved in order to achieve high-quality sustainable development in Qinghai Province.
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institution Kabale University
issn 1000-288X
language zho
publishDate 2022-04-01
publisher Science Press
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series Shuitu baochi tongbao
spelling doaj-art-193a8fdc953a4cc4a87e3d45f2268f962024-12-30T03:45:37ZzhoScience PressShuitu baochi tongbao1000-288X2022-04-0142216617310.13961/j.cnki.stbctb.2022.02.0231000-288X(2022)02-0166-08Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS ModelLi Xiaoyong0Jia Haifa1Zhao Wanmei2College of Civil Engineering, Qinghai University, Xining, Qinghai 810016, ChinaCollege of Civil Engineering, Qinghai University, Xining, Qinghai 810016, ChinaQinghai Provincial Land and Space Planning Research Institute, Xining, Qinghai 810016, China[Objective] The ecological carrying capacity of Qinghai Province and its cities and prefectures were quantitatively measured to reveal its spatial and temporal evolution characteristics, in order to provide a reference for the sustainable development of Qinghai Province. [Methods] The ecological carrying capacity evaluation index system was constructed using the DPSIR model and considering five factors: driving force, pressure, state, impact, and response. The entropy value method was applied to determine the weight coefficients of the indexes. The TOPSIS model and the obstacle degree model were used to measure and analyze the ecological carrying capacity and the impact factors for Qinghai Province and its cities and prefectures from 2008 to 2019. [Results] Ecological carrying capacity of Qinghai Province and its cities and prefectures increased significantly from 2008 to 2019. Ecological carrying capacity of cities and prefectures in Qinghai Province differed spatially, with the two eastern cities having greater carrying capacity than other regions. The main factors influencing ecological carrying capacity in Qinghai Province from 2008 to 2019 have generally undergone a transformation that follows the pattern of social development-environmental pollution-population pressure and economic growth rate. [Conclusion] The ecological carrying capacity of Qinghai Province has increased significantly during 2008—2019, but the ecological situation remains severe. Policies regarding ecological protection should be actively implemented, the speed of social and economic development should be accelerated, and the ecological carrying capacity of cities and prefectures should be comprehensively improved in order to achieve high-quality sustainable development in Qinghai Province.http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220223ecological carrying capacitydpsir modeltopsis modelobstacle degree modelqinghai province
spellingShingle Li Xiaoyong
Jia Haifa
Zhao Wanmei
Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
Shuitu baochi tongbao
ecological carrying capacity
dpsir model
topsis model
obstacle degree model
qinghai province
title Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
title_full Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
title_fullStr Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
title_full_unstemmed Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
title_short Evaluation of Ecological Carrying Capacity in Qinghai Province Based on DPSIR-TOPSIS Model
title_sort evaluation of ecological carrying capacity in qinghai province based on dpsir topsis model
topic ecological carrying capacity
dpsir model
topsis model
obstacle degree model
qinghai province
url http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220223
work_keys_str_mv AT lixiaoyong evaluationofecologicalcarryingcapacityinqinghaiprovincebasedondpsirtopsismodel
AT jiahaifa evaluationofecologicalcarryingcapacityinqinghaiprovincebasedondpsirtopsismodel
AT zhaowanmei evaluationofecologicalcarryingcapacityinqinghaiprovincebasedondpsirtopsismodel