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

The discharge change in the source region of the Yellow River in the next 40 years based on the CMIP6 and two hydrological models

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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 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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