Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau
Abstract The Three‐River Headwater Region, also known as China's water tower, is highly sensitive to climate change and has experienced profound hydrological alterations in the last few decades. This study assessed the potential impacts of climate change on all the important hydrological compon...
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Wiley
2024-05-01
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| Online Access: | https://doi.org/10.1029/2023WR036072 |
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| author | Rashid Mahmood Shaofeng Jia Zhipin Ai |
| author_facet | Rashid Mahmood Shaofeng Jia Zhipin Ai |
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| description | Abstract The Three‐River Headwater Region, also known as China's water tower, is highly sensitive to climate change and has experienced profound hydrological alterations in the last few decades. This study assessed the potential impacts of climate change on all the important hydrological components such as precipitation, evapotranspiration, streamflow, snow‐melt flow, and soil moisture (SM) content in the region. For this, climate data (i.e., temperature, precipitation, relative humidity, and windspeed) of three Global Climate Models (i.e., CanESM5, MPI‐ESM1.2‐HR, and NorESM2‐MM) was downscaled with the Statistical DownScaling Model (SDSM) and their ensemble was forced into a hydrological model to simulate the hydrological processes for 1981–2100. The screening process, which is central to all downscaling techniques, is very subjective in the SDSM. Therefore, we developed a quantitative screening approach by modifying the method applied by Mahmood and Babel (2013, https://doi.org/10.1007/s00704‐012‐0765‐0) for the selection of a set of logical predictors to cope with multi‐collinearity and their ranking. The analyses were performed for the near future period (NFP, 2021–2060) and far future period (FFP, 2061–2100) relative to the baseline period (BLP, 1981–2020). The results showed that the region will be hotter and wetter in the future, with intensive and frequent floods. For example, temperature, precipitation, evapotranspiration, and streamflow will increase by 1.0–1.5 (1–1.9)°C, 9–21 (15–27)%, 6–17 (9–29)%, and 9–46 (22–64)% in the NFP and by 2.0–2.8 (2.7–4.6)°C, 16–40 (43–87)%, 11–31 (24–73)%, and 20–95 (60–198)% in the FFP, respectively, under SSP2‐4.5 (SSP5‐8.5). Similar projections were explored for other hydrological components. Among all, surface flow showed an unprecedented increase (500%–1,000%) in the FFP. Peak flows will be much higher and will shift forward, and snowmelt will start earlier in the future. The results of the present study can be a good source for understanding the hydrological cycle and be used for the planning and management of water resources of the highly elevated and complex region of the Qinghai Tibetan Plateau. |
| format | Article |
| id | doaj-art-afadd4a2e54d4a058a4ab55ade07b039 |
| institution | Kabale University |
| issn | 0043-1397 1944-7973 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Wiley |
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| series | Water Resources Research |
| spelling | doaj-art-afadd4a2e54d4a058a4ab55ade07b0392025-08-20T03:30:56ZengWileyWater Resources Research0043-13971944-79732024-05-01605n/an/a10.1029/2023WR036072Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan PlateauRashid Mahmood0Shaofeng Jia1Zhipin Ai2Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Science and Natural Resources Research Chinese Academy of Sciences Beijing ChinaKey Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Science and Natural Resources Research Chinese Academy of Sciences Beijing ChinaKey Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Science and Natural Resources Research Chinese Academy of Sciences Beijing ChinaAbstract The Three‐River Headwater Region, also known as China's water tower, is highly sensitive to climate change and has experienced profound hydrological alterations in the last few decades. This study assessed the potential impacts of climate change on all the important hydrological components such as precipitation, evapotranspiration, streamflow, snow‐melt flow, and soil moisture (SM) content in the region. For this, climate data (i.e., temperature, precipitation, relative humidity, and windspeed) of three Global Climate Models (i.e., CanESM5, MPI‐ESM1.2‐HR, and NorESM2‐MM) was downscaled with the Statistical DownScaling Model (SDSM) and their ensemble was forced into a hydrological model to simulate the hydrological processes for 1981–2100. The screening process, which is central to all downscaling techniques, is very subjective in the SDSM. Therefore, we developed a quantitative screening approach by modifying the method applied by Mahmood and Babel (2013, https://doi.org/10.1007/s00704‐012‐0765‐0) for the selection of a set of logical predictors to cope with multi‐collinearity and their ranking. The analyses were performed for the near future period (NFP, 2021–2060) and far future period (FFP, 2061–2100) relative to the baseline period (BLP, 1981–2020). The results showed that the region will be hotter and wetter in the future, with intensive and frequent floods. For example, temperature, precipitation, evapotranspiration, and streamflow will increase by 1.0–1.5 (1–1.9)°C, 9–21 (15–27)%, 6–17 (9–29)%, and 9–46 (22–64)% in the NFP and by 2.0–2.8 (2.7–4.6)°C, 16–40 (43–87)%, 11–31 (24–73)%, and 20–95 (60–198)% in the FFP, respectively, under SSP2‐4.5 (SSP5‐8.5). Similar projections were explored for other hydrological components. Among all, surface flow showed an unprecedented increase (500%–1,000%) in the FFP. Peak flows will be much higher and will shift forward, and snowmelt will start earlier in the future. The results of the present study can be a good source for understanding the hydrological cycle and be used for the planning and management of water resources of the highly elevated and complex region of the Qinghai Tibetan Plateau.https://doi.org/10.1029/2023WR036072hydrologic cyclestatistical downscalinghydrologic modelingclimate changethree‐river headwater regionHEC‐HMS |
| spellingShingle | Rashid Mahmood Shaofeng Jia Zhipin Ai Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau Water Resources Research hydrologic cycle statistical downscaling hydrologic modeling climate change three‐river headwater region HEC‐HMS |
| title | Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau |
| title_full | Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau |
| title_fullStr | Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau |
| title_full_unstemmed | Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau |
| title_short | Projected Intensified Hydrological Processes in the Three‐River Headwater Region, Qinghai Tibetan Plateau |
| title_sort | projected intensified hydrological processes in the three river headwater region qinghai tibetan plateau |
| topic | hydrologic cycle statistical downscaling hydrologic modeling climate change three‐river headwater region HEC‐HMS |
| url | https://doi.org/10.1029/2023WR036072 |
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