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Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018

Climate change has a global impact on the water cycle and its spatial patterns, and these impacts are more pronounced in eco-fragile regions. Arid regions are significantly affected by human activities like farming, and climate change, which influences lake water volumes, especially in different lat...

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Autores principales: Wufu, Adilai, Wang, Hongwei, Chen, Yun, Rusuli, Yusufujiang, Ma, Ligang, Yang, Shengtian, Zhang, Fei, Wang, Dan, Li, Qian, Li, Yinbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443322/
https://www.ncbi.nlm.nih.gov/pubmed/32879793
http://dx.doi.org/10.7717/peerj.9683
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author Wufu, Adilai
Wang, Hongwei
Chen, Yun
Rusuli, Yusufujiang
Ma, Ligang
Yang, Shengtian
Zhang, Fei
Wang, Dan
Li, Qian
Li, Yinbo
author_facet Wufu, Adilai
Wang, Hongwei
Chen, Yun
Rusuli, Yusufujiang
Ma, Ligang
Yang, Shengtian
Zhang, Fei
Wang, Dan
Li, Qian
Li, Yinbo
author_sort Wufu, Adilai
collection PubMed
description Climate change has a global impact on the water cycle and its spatial patterns, and these impacts are more pronounced in eco-fragile regions. Arid regions are significantly affected by human activities like farming, and climate change, which influences lake water volumes, especially in different latitudes. This study integrates radar altimetry data from 2002 to 2018 with optical remote sensing images to analyze changes in the lake areas, levels, and volumes at different altitudes in Xinjiang, China. We analyzed changes in lake volumes in March, June, and October and studied their causes. The results showed large changes in the surface areas, levels, and volumes of lakes at different altitudes. During 2002–2010, the lakes in low- and medium-altitude areas were shrinking but lakes in high altitude areas were expanding. Monthly analysis revealed more diversified results: the lake water levels and volumes tended to decrease in March (−0.10 m/year, 37.55×10(8) m(3)) and increase in June (0.03 m/year, 3.48×10(8) m(3)) and October (0.04 m/year, 26.90×10(8) m(3)). The time series lake water volume data was reconstructed for 2011 to 2018 based on the empirical model and the total lake water volume showed a slightly increasing trend during this period (71.35×10(8) m(3)). We hypothesized that changes in lake water at high altitudes were influenced by temperature-induced glacial snow melt and lake water in low- to medium-altitude areas was most influenced by human activities like agricultural irrigation practices.
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spelling pubmed-74433222020-09-01 Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018 Wufu, Adilai Wang, Hongwei Chen, Yun Rusuli, Yusufujiang Ma, Ligang Yang, Shengtian Zhang, Fei Wang, Dan Li, Qian Li, Yinbo PeerJ Climate Change Biology Climate change has a global impact on the water cycle and its spatial patterns, and these impacts are more pronounced in eco-fragile regions. Arid regions are significantly affected by human activities like farming, and climate change, which influences lake water volumes, especially in different latitudes. This study integrates radar altimetry data from 2002 to 2018 with optical remote sensing images to analyze changes in the lake areas, levels, and volumes at different altitudes in Xinjiang, China. We analyzed changes in lake volumes in March, June, and October and studied their causes. The results showed large changes in the surface areas, levels, and volumes of lakes at different altitudes. During 2002–2010, the lakes in low- and medium-altitude areas were shrinking but lakes in high altitude areas were expanding. Monthly analysis revealed more diversified results: the lake water levels and volumes tended to decrease in March (−0.10 m/year, 37.55×10(8) m(3)) and increase in June (0.03 m/year, 3.48×10(8) m(3)) and October (0.04 m/year, 26.90×10(8) m(3)). The time series lake water volume data was reconstructed for 2011 to 2018 based on the empirical model and the total lake water volume showed a slightly increasing trend during this period (71.35×10(8) m(3)). We hypothesized that changes in lake water at high altitudes were influenced by temperature-induced glacial snow melt and lake water in low- to medium-altitude areas was most influenced by human activities like agricultural irrigation practices. PeerJ Inc. 2020-08-20 /pmc/articles/PMC7443322/ /pubmed/32879793 http://dx.doi.org/10.7717/peerj.9683 Text en ©2020 Wufu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Climate Change Biology
Wufu, Adilai
Wang, Hongwei
Chen, Yun
Rusuli, Yusufujiang
Ma, Ligang
Yang, Shengtian
Zhang, Fei
Wang, Dan
Li, Qian
Li, Yinbo
Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title_full Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title_fullStr Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title_full_unstemmed Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title_short Lake water volume fluctuations in response to climate change in Xinjiang, China from 2002 to 2018
title_sort lake water volume fluctuations in response to climate change in xinjiang, china from 2002 to 2018
topic Climate Change Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443322/
https://www.ncbi.nlm.nih.gov/pubmed/32879793
http://dx.doi.org/10.7717/peerj.9683
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