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Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin
Global warming and land-use change affects runoff in the regional basin. Affected by different factors, such as abundant rainfall and increased impervious surface, the Taihu basin becomes more vulnerable to floods. As a result, a future flood risk analysis is of great significance. This paper simula...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663716/ https://www.ncbi.nlm.nih.gov/pubmed/33114602 http://dx.doi.org/10.3390/s20216079 |
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author | Li, Leilei Yang, Jintao Wu, Jin |
author_facet | Li, Leilei Yang, Jintao Wu, Jin |
author_sort | Li, Leilei |
collection | PubMed |
description | Global warming and land-use change affects runoff in the regional basin. Affected by different factors, such as abundant rainfall and increased impervious surface, the Taihu basin becomes more vulnerable to floods. As a result, a future flood risk analysis is of great significance. This paper simulated the land-use expansion and analyzed the surface change from 2020 to 2050 using the neural network Cellular Automata Markov (CA-Markov) model. Moreover, the NASA Earth Exchange Global Daily Downscaled Climate Projections (NEX-GDDP) dataset was corrected for deviation and used to analyze the climate trend. Second, the verified SWAT model was applied to simulate future runoff and to analyze the future flood risk. The results show that (1) land use is dominated by cultivated land and forests. In the future, the area of cultivated land will decrease and construction land will expand to 1.5 times its present size. (2) The average annual precipitation and temperature will increase by 1.2% and 1.5 degrees from 2020 to 2050, respectively. During the verified period, the NSE and r-square values of the SWAT model are greater than 0.7. (3) Compared with the historical extreme runoff, the extreme runoff in the return period will increase 10%~25% under the eight climate models in 2050. In general, the flood risk will increase further under the climate scenarios. |
format | Online Article Text |
id | pubmed-7663716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76637162020-11-14 Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin Li, Leilei Yang, Jintao Wu, Jin Sensors (Basel) Article Global warming and land-use change affects runoff in the regional basin. Affected by different factors, such as abundant rainfall and increased impervious surface, the Taihu basin becomes more vulnerable to floods. As a result, a future flood risk analysis is of great significance. This paper simulated the land-use expansion and analyzed the surface change from 2020 to 2050 using the neural network Cellular Automata Markov (CA-Markov) model. Moreover, the NASA Earth Exchange Global Daily Downscaled Climate Projections (NEX-GDDP) dataset was corrected for deviation and used to analyze the climate trend. Second, the verified SWAT model was applied to simulate future runoff and to analyze the future flood risk. The results show that (1) land use is dominated by cultivated land and forests. In the future, the area of cultivated land will decrease and construction land will expand to 1.5 times its present size. (2) The average annual precipitation and temperature will increase by 1.2% and 1.5 degrees from 2020 to 2050, respectively. During the verified period, the NSE and r-square values of the SWAT model are greater than 0.7. (3) Compared with the historical extreme runoff, the extreme runoff in the return period will increase 10%~25% under the eight climate models in 2050. In general, the flood risk will increase further under the climate scenarios. MDPI 2020-10-26 /pmc/articles/PMC7663716/ /pubmed/33114602 http://dx.doi.org/10.3390/s20216079 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Leilei Yang, Jintao Wu, Jin Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title | Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title_full | Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title_fullStr | Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title_full_unstemmed | Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title_short | Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin |
title_sort | future flood risk assessment under the effects of land use and climate change in the tiaoxi basin |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663716/ https://www.ncbi.nlm.nih.gov/pubmed/33114602 http://dx.doi.org/10.3390/s20216079 |
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