Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China
Yunnan province is the core region of the drought in the Southwest China, which makes the region become the hot spot in the meteorological research. However, among the various influencing factors of the drought in Yunnan province, the influence of the land use/cover change (LUCC) on the drought has...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2013/295856 |
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| _version_ | 1832548387117858816 |
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| author | Chunhong Zhao Xiangzheng Deng Yongwei Yuan Haiming Yan Hong Liang |
| author_facet | Chunhong Zhao Xiangzheng Deng Yongwei Yuan Haiming Yan Hong Liang |
| author_sort | Chunhong Zhao |
| collection | DOAJ |
| description | Yunnan province is the core region of the drought in the Southwest China, which makes the region become the hot spot in the meteorological research. However, among the various influencing factors of the drought in Yunnan province, the influence of the land use/cover change (LUCC) on the drought has not been quantitatively analyzed. The LUCC in recent decades was first quantitatively analyzed in this study. Given the fact that severe drought in Yunnan province is mainly due to much-less-than-normal precipitation and much-warmer-than-normal surface temperature, this study focused on the future spatiotemporal heterogeneity of the temperature and precipitation, which have great impacts on the drought. Finally, the influencing factors of drought in Yunnan province were simulated with the Weather Research and Forecasting (WRF) model, and the risk of drought was spatially analyzed with the meteorological drought composite index. The results indicate that the large-area forest plays a more important role in alleviating the risk of drought than other vegetation types do. Besides, the changes of the landscape structure resulting from the urban expansion play a significant role in intensifying the risk of drought. |
| format | Article |
| id | doaj-art-2b4ac6e019e14ebe9261a0f42d7592f5 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-2b4ac6e019e14ebe9261a0f42d7592f52025-02-03T06:14:06ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/295856295856Prediction of Drought Risk Based on the WRF Model in Yunnan Province of ChinaChunhong Zhao0Xiangzheng Deng1Yongwei Yuan2Haiming Yan3Hong Liang4Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaFaculty of Resources and Environmental Science, Hubei University, Wuhan, Hubei 430062, ChinaState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, ChinaShenzhen Environmental Monitoring Center, Shenzhen, Guangdong 518049, ChinaYunnan province is the core region of the drought in the Southwest China, which makes the region become the hot spot in the meteorological research. However, among the various influencing factors of the drought in Yunnan province, the influence of the land use/cover change (LUCC) on the drought has not been quantitatively analyzed. The LUCC in recent decades was first quantitatively analyzed in this study. Given the fact that severe drought in Yunnan province is mainly due to much-less-than-normal precipitation and much-warmer-than-normal surface temperature, this study focused on the future spatiotemporal heterogeneity of the temperature and precipitation, which have great impacts on the drought. Finally, the influencing factors of drought in Yunnan province were simulated with the Weather Research and Forecasting (WRF) model, and the risk of drought was spatially analyzed with the meteorological drought composite index. The results indicate that the large-area forest plays a more important role in alleviating the risk of drought than other vegetation types do. Besides, the changes of the landscape structure resulting from the urban expansion play a significant role in intensifying the risk of drought.http://dx.doi.org/10.1155/2013/295856 |
| spellingShingle | Chunhong Zhao Xiangzheng Deng Yongwei Yuan Haiming Yan Hong Liang Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China Advances in Meteorology |
| title | Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China |
| title_full | Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China |
| title_fullStr | Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China |
| title_full_unstemmed | Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China |
| title_short | Prediction of Drought Risk Based on the WRF Model in Yunnan Province of China |
| title_sort | prediction of drought risk based on the wrf model in yunnan province of china |
| url | http://dx.doi.org/10.1155/2013/295856 |
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