Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure
This study employs precipitation data sets from historical trials on 20 CMIP6 global climate models and four shared socioeconomic pathway scenario trials (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) to predict trends in extreme precipitation changes in Henan Province quantitatively, while ascertaini...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/10/1484 |
| _version_ | 1797574790110773248 |
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| author | Zongming Wang Yuyan Wu Shiping Xi Xuerong Sun |
| author_facet | Zongming Wang Yuyan Wu Shiping Xi Xuerong Sun |
| author_sort | Zongming Wang |
| collection | DOAJ |
| description | This study employs precipitation data sets from historical trials on 20 CMIP6 global climate models and four shared socioeconomic pathway scenario trials (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) to predict trends in extreme precipitation changes in Henan Province quantitatively, while ascertaining the risk of population exposure to extreme precipitation in this area. The capacity of the CMIP6 models to simulate extreme precipitation indices from 1985 to 2014 is assessed using CN05.1 daily precipitation observational data. The correlation coefficients of the multi-model ensemble median’s simulation of the extreme precipitation indices are approximately 0.8, with a standard deviation ratio closer to 1 compared with the single models, demonstrating superior modeling ability. Analyses using the multi-model ensemble median demonstrate an overall increase in the total amount, frequency, and intensity of extreme precipitation in Henan throughout this century, particularly in its southern regions; in the mid-century high-emission scenario (SSP5-8.5), the maximum increase in annual total precipitation exceeds 150 mm, and it can be over 250 mm in the late-century period. For the entire province, the maximum five-day precipitation increase relative to the historical period is nearly 25 mm in the late-century SSP5-8.5 scenario. The spatiotemporal concentration of precipitation will significantly increase, heightening the risk of flood disasters. Comparative analysis reveals that, under the same population prediction, the total population exposure will be higher in high radiative forcing scenarios than in low radiative forcing scenarios, especially in Kaifeng City, where the total population exposure in SSP1 and SSP5-8.5 exceeds that in SSP1-2.6 by 2 million person-days. However, in the same radiative forcing scenario, the total population exposure in the development pathway dominated by traditional fossil fuels (SSP5) will not be significantly higher than that in the sustainable development pathway (SSP1), indicating that population activity in this century will not be the main contributor to changes in total exposure. Overall, for Henan, in the same population forecast scenario, population exposure to extreme precipitation will gradually rise with global warming. |
| first_indexed | 2024-03-10T21:27:07Z |
| format | Article |
| id | doaj.art-1915a51c2b334f399e91df2f5f4ce6b2 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T21:27:07Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-1915a51c2b334f399e91df2f5f4ce6b22023-11-19T15:35:41ZengMDPI AGAtmosphere2073-44332023-09-011410148410.3390/atmos14101484Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population ExposureZongming Wang0Yuyan Wu1Shiping Xi2Xuerong Sun3China Meteorological Administration Henan Key Laboratory of Agro-Meteorological Safeguard and Applied Technique, Zhengzhou 450003, ChinaSchool of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610103, ChinaChina Meteorological Administration Henan Key Laboratory of Agro-Meteorological Safeguard and Applied Technique, Zhengzhou 450003, ChinaSchool of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610103, ChinaThis study employs precipitation data sets from historical trials on 20 CMIP6 global climate models and four shared socioeconomic pathway scenario trials (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) to predict trends in extreme precipitation changes in Henan Province quantitatively, while ascertaining the risk of population exposure to extreme precipitation in this area. The capacity of the CMIP6 models to simulate extreme precipitation indices from 1985 to 2014 is assessed using CN05.1 daily precipitation observational data. The correlation coefficients of the multi-model ensemble median’s simulation of the extreme precipitation indices are approximately 0.8, with a standard deviation ratio closer to 1 compared with the single models, demonstrating superior modeling ability. Analyses using the multi-model ensemble median demonstrate an overall increase in the total amount, frequency, and intensity of extreme precipitation in Henan throughout this century, particularly in its southern regions; in the mid-century high-emission scenario (SSP5-8.5), the maximum increase in annual total precipitation exceeds 150 mm, and it can be over 250 mm in the late-century period. For the entire province, the maximum five-day precipitation increase relative to the historical period is nearly 25 mm in the late-century SSP5-8.5 scenario. The spatiotemporal concentration of precipitation will significantly increase, heightening the risk of flood disasters. Comparative analysis reveals that, under the same population prediction, the total population exposure will be higher in high radiative forcing scenarios than in low radiative forcing scenarios, especially in Kaifeng City, where the total population exposure in SSP1 and SSP5-8.5 exceeds that in SSP1-2.6 by 2 million person-days. However, in the same radiative forcing scenario, the total population exposure in the development pathway dominated by traditional fossil fuels (SSP5) will not be significantly higher than that in the sustainable development pathway (SSP1), indicating that population activity in this century will not be the main contributor to changes in total exposure. Overall, for Henan, in the same population forecast scenario, population exposure to extreme precipitation will gradually rise with global warming.https://www.mdpi.com/2073-4433/14/10/1484extreme precipitationpopulation exposuremodel predictionemission scenarios |
| spellingShingle | Zongming Wang Yuyan Wu Shiping Xi Xuerong Sun Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure Atmosphere extreme precipitation population exposure model prediction emission scenarios |
| title | Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure |
| title_full | Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure |
| title_fullStr | Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure |
| title_full_unstemmed | Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure |
| title_short | Predictive Study on Extreme Precipitation Trends in Henan and Their Impact on Population Exposure |
| title_sort | predictive study on extreme precipitation trends in henan and their impact on population exposure |
| topic | extreme precipitation population exposure model prediction emission scenarios |
| url | https://www.mdpi.com/2073-4433/14/10/1484 |
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