首页|基于CMIP6气候模式和两种水文模型综合集成预估的黄河源区未来40年流量变化

基于CMIP6气候模式和两种水文模型综合集成预估的黄河源区未来40年流量变化

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基于两个共享社会经济低碳路径(SSP1-2。6、SSP2-4。5)下的CMIP6中的8个GCMs气候模式进行黄河源区2021-2060年平均气温和降水量预估。在此基础上,利用CMIP6中的8个GCMs气候模式分别驱动HBV、SWAT水文模型综合集成预估了黄河源区2021-2060年流量的年代际变化。结果表明:SSP1-2。6、SSP2-4。5情景下,2021-2060年黄河源区呈暖湿化趋势,平均气温较基准期(1995-2014年)分别上升1。3℃、1。6℃,年降水量分别增加11。6%、11。5%。SSP1-2。6、SSP2-4。5情景下2021-2060年黄河源区年平均流量分别增多8。6%、8。5%;两种情景下黄河源区21世纪各年代际流量均增加,其中21世纪20年代和30年代流量增幅小于40年代、50年代流量增幅。SSP1-2。6、SSP2-4。5情景下黄河源区2021-2060年6-8月流量减幅在1%以下,而3-5月和9-12月流量增幅为0。1%~2。1%。SSP1-2。6、SSP2-4。5情景下黄河源区蓄水期(9-11月)极端丰水流量增加2。5%~2。7%,SSP1-2。6情景下黄河源区2021-2060年汛期(6-8月)极端丰水流量总体增加0。1%,SSP2-4。5情景下黄河源区汛期极端丰水流量减少1。3%,SSP1-2。6、SSP2-4。5情景下黄河源区枯水期(12至次年5月)极端丰水流量减少0。7%~1。0%;黄河源区汛期(SSP1-2。6和SSP2-4。5情景)及枯水期(SSP1-2。6情景)极端枯水流量较基准期增加0。8%~1。9%,两种情景下黄河源区蓄水期极端枯水流量减少1。8%~2。3%。
The discharge change in the source region of the Yellow River in the next 40 years based on the CMIP6 and two hydrological models
The climate change in the source region of the Yellow River Basin was projected from 2121 to 2060 using eight GCMS of the Coupled model inter-comparision project Phase 6(CMIP6)and two shared socio-eco-nomic low-carbon paths(SSP1-2.6 and SSP2-4.5).The inter-decadal variation of discharge in the source re-gion of the Yellow River from 2021 to 2060 was predicted by using eight GCMs climate models to drive HBV and SWAT hydrological models.The results show that:(1)In comparison with the baseline period(1995-2014),in terms of the ensemble mean,annual mean air temperature,annual precipitation will increase by 1.3℃and 1.6℃,by 11.6%and 11.5%under SSP1-2.6 and SSP2-4.5 scenarios,respectively.And the warming and wetting trends become obvious from 2021-2060 under the SSP1-2.6 and SSP2-4.5 scenarios in the source region of the Yellow River.(2)The multi-models ensemble mean(MEM)multi-year mean annual discharge for 2021-2060 was expected to increase by 8.6%and 8.5%under the SSP1-2.6 scenario and the SSP2-4.5 scenario,respectively.It was projected to increase in each decade from the 2020s to the 2050s under the scenario of SSP1-2.6 and SSP2-4.5.The increase degree in 2040s and 2050s is higher than 2020s and 2030s.(3)The proportion of discharge was projected to decrease by 0.1%~1.0%from May to August during 2021-2060 under both scenarios but was projected to increase by 0.1%~2.1%from April to May and Septem-ber to December for most GCMS under the SSP1-2.6 scenario and the SSP2-4.5 scenario,respectively.(4)Ex-tremely high monthly discharge was expected to increase by 2.5%~2.7%in the water storage season under two scenarios during 2021-2060 in the source region of the Yellow River whereas the extreme high discharge in the flood season increased by 0.1%under the SSP1-2.6 scenarios but decreased by 1.3%under the SSP2-4.5 sce-narios,and decreased by 0.7%~1.0%in dry season under two scenarios in the next 40 years.Extremely low dis-charge was projected to increase by 0.8%~1.9%in the flood season and the dry season but to decrease by 1.8%~2.3%in the storage season under two scenarios in the study region.

climate change impactdischarge projectionSWAT and HBV modelCMIP6 modelsthe source region of Yellow River

刘义花、高歌、翟建青、刘绿柳、温婷婷、孙永寿

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青海省气候中心,青海 西宁 810001

青海省温室气体及碳中和重点实验室,青海 西宁 810001

南京信息工程大学 气象灾害预报预警与评估协同创新中心,南京 210044

国家气候中心,北京 100081

青海省水文水资源测报中心,青海 西宁 810001

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气候变化影响 流量预估 SWAT和HBV水文模型 CMIP6气候模式 黄河源区

青海省科技厅基础研究计划项目

2022-ZJ-767

2024

冰川冻土
中国地理学会 中国科学院寒区旱区环境与工程研究所

冰川冻土

CSTPCD
影响因子:2.546
ISSN:1000-0240
年,卷(期):2024.46(2)
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