Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data
This research analyzes extreme precipitation events in the Huaihe River Basin in China, a densely populated region with a history of human settlements and agricultural activities. This study aims to explore the impact of extreme precipitation index changes and provide decision-making suggestions for...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/21/3805 |
| _version_ | 1797631219565854720 |
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| author | Min Tong Leilei Li Zhi Li Zhihui Tian |
| author_facet | Min Tong Leilei Li Zhi Li Zhihui Tian |
| author_sort | Min Tong |
| collection | DOAJ |
| description | This research analyzes extreme precipitation events in the Huaihe River Basin in China, a densely populated region with a history of human settlements and agricultural activities. This study aims to explore the impact of extreme precipitation index changes and provide decision-making suggestions for flood early warning and agricultural development in the Huaihe River Basin. The study utilizes the NEX-GDDP-CMIP6 climate model dataset and daily value dataset (V3.0) from China’s national surface weather stations to investigate temporal and spatial changes in the extreme precipitation indices from 1960 to 2014 and future projections. At the same time, this study adopts the RclimDex model, Taylor diagram, and Sen+Mann–Kendall trend analysis research methods to analyze the data. The results reveal a slight increase in extreme precipitation indices from the northwest to southeast within the basin, except for the CDD, which shows a decreasing trend. Regarding the spatial variation, the future increase in extreme precipitation in the Huaihe River Basin shows a spatial variation characteristic that decreases from the northwest to southeast. These findings suggest that extreme precipitation events are intensifying in the region. Understanding these trends and their implications is vital for adaptation strategy planning and mitigating the risks associated with extreme precipitation events in the Huaihe River Basin. |
| first_indexed | 2024-03-11T11:18:47Z |
| format | Article |
| id | doaj.art-b2f878c7761a45cb8ed7667fde800b63 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T11:18:47Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-b2f878c7761a45cb8ed7667fde800b632023-11-10T15:15:23ZengMDPI AGWater2073-44412023-10-011521380510.3390/w15213805Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring DataMin Tong0Leilei Li1Zhi Li2Zhihui Tian3School of Earth Science and Technology, Zhengzhou University, Zhengzhou 450000, ChinaSchool of Earth Science and Technology, Zhengzhou University, Zhengzhou 450000, ChinaChina Center for Resources Satellite Data and Application, Beijing 100094, ChinaSchool of Earth Science and Technology, Zhengzhou University, Zhengzhou 450000, ChinaThis research analyzes extreme precipitation events in the Huaihe River Basin in China, a densely populated region with a history of human settlements and agricultural activities. This study aims to explore the impact of extreme precipitation index changes and provide decision-making suggestions for flood early warning and agricultural development in the Huaihe River Basin. The study utilizes the NEX-GDDP-CMIP6 climate model dataset and daily value dataset (V3.0) from China’s national surface weather stations to investigate temporal and spatial changes in the extreme precipitation indices from 1960 to 2014 and future projections. At the same time, this study adopts the RclimDex model, Taylor diagram, and Sen+Mann–Kendall trend analysis research methods to analyze the data. The results reveal a slight increase in extreme precipitation indices from the northwest to southeast within the basin, except for the CDD, which shows a decreasing trend. Regarding the spatial variation, the future increase in extreme precipitation in the Huaihe River Basin shows a spatial variation characteristic that decreases from the northwest to southeast. These findings suggest that extreme precipitation events are intensifying in the region. Understanding these trends and their implications is vital for adaptation strategy planning and mitigating the risks associated with extreme precipitation events in the Huaihe River Basin.https://www.mdpi.com/2073-4441/15/21/3805NEX-GDDP-CMIP6extreme precipitationclimate changeHuaihe River Basin |
| spellingShingle | Min Tong Leilei Li Zhi Li Zhihui Tian Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data Water NEX-GDDP-CMIP6 extreme precipitation climate change Huaihe River Basin |
| title | Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data |
| title_full | Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data |
| title_fullStr | Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data |
| title_full_unstemmed | Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data |
| title_short | Spatiotemporal Analysis of Future Precipitation Changes in the Huaihe River Basin Based on the NEX-GDDP-CMIP6 Dataset and Monitoring Data |
| title_sort | spatiotemporal analysis of future precipitation changes in the huaihe river basin based on the nex gddp cmip6 dataset and monitoring data |
| topic | NEX-GDDP-CMIP6 extreme precipitation climate change Huaihe River Basin |
| url | https://www.mdpi.com/2073-4441/15/21/3805 |
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