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Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov
The Yellow River Basin in China has the world's most serious soil erosion problem. The Yellow River Basin in Sichuan Province (YRS), as the upper reaches of the Yellow River, and its water conservation (WC) capacity greatly affects the ecological environment of the downstream basin. In recent y...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395299/ https://www.ncbi.nlm.nih.gov/pubmed/37539201 http://dx.doi.org/10.1016/j.heliyon.2023.e17903 |
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author | Yang, Zhichong Dai, Xiaoai Lu, Heng Liu, Chao Nie, Ruihua Zhang, Min Ma, Lei Li, Naiwen Liu, Tiegang He, Yuxin Yang, Zhengli Qu, Ge Li, Weile Wang, Youlin |
author_facet | Yang, Zhichong Dai, Xiaoai Lu, Heng Liu, Chao Nie, Ruihua Zhang, Min Ma, Lei Li, Naiwen Liu, Tiegang He, Yuxin Yang, Zhengli Qu, Ge Li, Weile Wang, Youlin |
author_sort | Yang, Zhichong |
collection | PubMed |
description | The Yellow River Basin in China has the world's most serious soil erosion problem. The Yellow River Basin in Sichuan Province (YRS), as the upper reaches of the Yellow River, and its water conservation (WC) capacity greatly affects the ecological environment of the downstream basin. In recent years, YRS has received more and more attention, and numerous policies have been developed to improve local WC. However, there is a vacancy in the long-term research of WC in the YRS due to the lack of in-situ data. This study quantitatively evaluated the WC of YRS from 2001 to 2020 through Google Earth Engine (GEE) and analyzed the spatio-temporal variations of WC and land cover (LC). CA-Markov predicted the LC and WC in 2025 under three scenarios to assess the contribution of different scenarios to WC. The WC in YRS fluctuated from 1.93 to 6.77 billion m(3). The climate is the dominant factor of WC change, but the effect of LC on WC is also evident. The WC capacity increases with vegetation coverage and height. The WC capacity of forests per km(2) exceeds 600 mm, while that of grasslands is about 250 mm, and barren can cause around 300 mm of WC loss. In 2025, the WC in YRS may exceed 7.5 billion m(3), but the past ecological management mode should be transformed. Improving the quality of land use and converting grasslands to forests is better than reducing cropland to improve WC. |
format | Online Article Text |
id | pubmed-10395299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103952992023-08-03 Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov Yang, Zhichong Dai, Xiaoai Lu, Heng Liu, Chao Nie, Ruihua Zhang, Min Ma, Lei Li, Naiwen Liu, Tiegang He, Yuxin Yang, Zhengli Qu, Ge Li, Weile Wang, Youlin Heliyon Research Article The Yellow River Basin in China has the world's most serious soil erosion problem. The Yellow River Basin in Sichuan Province (YRS), as the upper reaches of the Yellow River, and its water conservation (WC) capacity greatly affects the ecological environment of the downstream basin. In recent years, YRS has received more and more attention, and numerous policies have been developed to improve local WC. However, there is a vacancy in the long-term research of WC in the YRS due to the lack of in-situ data. This study quantitatively evaluated the WC of YRS from 2001 to 2020 through Google Earth Engine (GEE) and analyzed the spatio-temporal variations of WC and land cover (LC). CA-Markov predicted the LC and WC in 2025 under three scenarios to assess the contribution of different scenarios to WC. The WC in YRS fluctuated from 1.93 to 6.77 billion m(3). The climate is the dominant factor of WC change, but the effect of LC on WC is also evident. The WC capacity increases with vegetation coverage and height. The WC capacity of forests per km(2) exceeds 600 mm, while that of grasslands is about 250 mm, and barren can cause around 300 mm of WC loss. In 2025, the WC in YRS may exceed 7.5 billion m(3), but the past ecological management mode should be transformed. Improving the quality of land use and converting grasslands to forests is better than reducing cropland to improve WC. Elsevier 2023-07-01 /pmc/articles/PMC10395299/ /pubmed/37539201 http://dx.doi.org/10.1016/j.heliyon.2023.e17903 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Yang, Zhichong Dai, Xiaoai Lu, Heng Liu, Chao Nie, Ruihua Zhang, Min Ma, Lei Li, Naiwen Liu, Tiegang He, Yuxin Yang, Zhengli Qu, Ge Li, Weile Wang, Youlin Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title | Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title_full | Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title_fullStr | Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title_full_unstemmed | Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title_short | Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov |
title_sort | evaluation and prediction of water conservation of the yellow river basin in sichuan province, china, based on google earth engine and ca-markov |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395299/ https://www.ncbi.nlm.nih.gov/pubmed/37539201 http://dx.doi.org/10.1016/j.heliyon.2023.e17903 |
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