Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020
Scientific evaluation of water resources carrying capacity (WRCC) is the basis for implementing water resources conservation measures. Hubei Province, with the longest runoff mileage of the Yangtze River, the reservoir area of the Three Gorges Project and the core water source area of the South-to-N...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2200927X |
| _version_ | 1798028926954504192 |
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| author | Linna Lu Yalin Lei Tao Wu Kunyao Chen |
| author_facet | Linna Lu Yalin Lei Tao Wu Kunyao Chen |
| author_sort | Linna Lu |
| collection | DOAJ |
| description | Scientific evaluation of water resources carrying capacity (WRCC) is the basis for implementing water resources conservation measures. Hubei Province, with the longest runoff mileage of the Yangtze River, the reservoir area of the Three Gorges Project and the core water source area of the South-to-North Water Diversion Middle Line Project, bears great responsibility for ecology conservation in China. How to evaluate WRCC in Hubei Province has become significant. This study created a WRCC evaluation method based on information entropy method, principal component analysis and Spearman’s rank correlation coefficient to assess the WRCC in Hubei Province from 2008 to 2020. The available indicators were collected and summarized from the aspects of economy, population, resources and environment. By three-dimensionally displaying different indicators’ eigenvalues of principal component analysis, the major indicators can be screened. Subsequently, information entropy method was applied to estimate WRCC in Hubei Province and Spearman’s rank correlation was examined between WRCC and relevant factors. The results indicated that the WRCC in Hubei Province had been unstable in the range of 0.065 to 0.088 with the annual growth rate of 0.096%. It had a few peaks in year 2010, 2012, 2014, 2015 and 2016 while it decreased dramatically in year 2009, 2011, 2013, 2018 and 2020. Specifically, agricultural water use is more influential than industrial water use. The annual decline at 1.865% in agricultural water use is much smaller than the annual decline at 10.471% in industrial water use. Economically developed areas in the province have higher WRCC while economically backward areas have weaker WRCC. |
| first_indexed | 2024-04-11T19:16:16Z |
| format | Article |
| id | doaj.art-0e005c0df1a94defa228d6227ec88c0f |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-11T19:16:16Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-0e005c0df1a94defa228d6227ec88c0f2022-12-22T04:07:25ZengElsevierEcological Indicators1470-160X2022-11-01144109454Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020Linna Lu0Yalin Lei1Tao Wu2Kunyao Chen3School of Management, Hebei University, Baoding 071002, China; Corresponding author at: Rm.241, B1 office building, School of Management, Hebei University, No.2666 Qiyi East Road, Lianchi District, Baoding 071002, China.Principal's office, Beijing University of Chemical Technology, Beijing 100029, ChinaWuhan Urban Construction Investment Development Group, Wuhan 430077, ChinaIndustrial and Commercial College, Hebei University, Baoding 071002, ChinaScientific evaluation of water resources carrying capacity (WRCC) is the basis for implementing water resources conservation measures. Hubei Province, with the longest runoff mileage of the Yangtze River, the reservoir area of the Three Gorges Project and the core water source area of the South-to-North Water Diversion Middle Line Project, bears great responsibility for ecology conservation in China. How to evaluate WRCC in Hubei Province has become significant. This study created a WRCC evaluation method based on information entropy method, principal component analysis and Spearman’s rank correlation coefficient to assess the WRCC in Hubei Province from 2008 to 2020. The available indicators were collected and summarized from the aspects of economy, population, resources and environment. By three-dimensionally displaying different indicators’ eigenvalues of principal component analysis, the major indicators can be screened. Subsequently, information entropy method was applied to estimate WRCC in Hubei Province and Spearman’s rank correlation was examined between WRCC and relevant factors. The results indicated that the WRCC in Hubei Province had been unstable in the range of 0.065 to 0.088 with the annual growth rate of 0.096%. It had a few peaks in year 2010, 2012, 2014, 2015 and 2016 while it decreased dramatically in year 2009, 2011, 2013, 2018 and 2020. Specifically, agricultural water use is more influential than industrial water use. The annual decline at 1.865% in agricultural water use is much smaller than the annual decline at 10.471% in industrial water use. Economically developed areas in the province have higher WRCC while economically backward areas have weaker WRCC.http://www.sciencedirect.com/science/article/pii/S1470160X2200927XWater resources carrying capacity (WRCC)Yangtze River Economic BeltInformation entropy methodPrincipal component analysisEcological conservation |
| spellingShingle | Linna Lu Yalin Lei Tao Wu Kunyao Chen Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 Ecological Indicators Water resources carrying capacity (WRCC) Yangtze River Economic Belt Information entropy method Principal component analysis Ecological conservation |
| title | Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 |
| title_full | Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 |
| title_fullStr | Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 |
| title_full_unstemmed | Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 |
| title_short | Evaluating water resources carrying capacity: The empirical analysis of Hubei Province, China 2008–2020 |
| title_sort | evaluating water resources carrying capacity the empirical analysis of hubei province china 2008 2020 |
| topic | Water resources carrying capacity (WRCC) Yangtze River Economic Belt Information entropy method Principal component analysis Ecological conservation |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X2200927X |
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