首页|期刊导航|水资源保护|气候变化情景下黄河水源涵养区水源涵养量预测及不确定性分析

气候变化情景下黄河水源涵养区水源涵养量预测及不确定性分析OA

Prediction and uncertainty analysis of water conservation capacity in the Yellow River water conservation area under climate change scenarios

中文摘要英文摘要

基于InVEST 模型分析了1980-2023 年黄河水源涵养区水源涵养量的时空特征,结合优选的6 种 CMIP6 全球气候模式(GCMs)与3 种共享社会经济路径(SSP1-2.6、SSP2-4.5、SSP5-8.5)预测了未来近期(2026-2035 年)与未来远期(2036-2050 年)的水源涵养量,并采用"内部变率-模式-情景"三源分解的不确定性量化方法评估了预测结果的不确定性.结果表明:1980-2023 年研究区多年平均水源涵养量为25.11 mm,时间上总体呈上升趋势,2002 年发生突变,突变后增幅为 8.75%,空间上呈现西南高、东北低的特点;基准期多年平均降水量为 557.4mm,整体为增加趋势,SSP1-2.6、SSP5-8.5 情景下未来降水量高于基准期,SSP2-4.5 情景略低于基准期;6 种 GCMs 驱动下的2026-2050 年水源涵养量预测值差异显著,在 SSP1-2.6 情景下,各 GCMs 驱动预测的水源涵养量均呈上升趋势,SSP5-8.5 情景结果波动最大,SSP2-4.5 情景预测增幅略低于其他两种情景,空间上高值区位于黄河源区,唐乃亥-兰州地区次之,渭河-伊洛河流域最低;GCMs 不确定性为水源涵养量预测结果的主要不确定性来源,排放情景不确定性次之,内部变率影响最小,总的相对不确定度未来远期大于未来近期.

This study analyzed the spatiotemporal characteristics of water conservation capacity of the Yellow River water conservation area from 1980 to 2023 using the InVEST model.Six optimally selected CMIP6 Global Climate Models(GCMs)under three Shared Socioeconomic Pathways(SSP1-2.6,SSP2-4.5,and SSP5-8.5)were integrated to project water conservation capacity for the near future(2026-2035)and the distant future(2036-2050).The uncertainty of projections was quantified through a triple-source"internal variability-model-scenario"decomposition approach.The results indicate that the multi-year average water conservation of the study area during 1980 to 2023 was 25.11 mm,exhibiting an overall increasing trend with an abrupt change in 2002(post-change increase rate is 8.75%).Spatially,water conservation was characterized by higher values in the southwest and lower values in the northeast.Baseline precipitation averaged 557.4 mm with an increasing trend.Future precipitation under SSP1-2.6 and SSP5-8.5 scenarios slightly exceeded baseline levels,while SSP2-4.5 was slightly lower than the baseline.Projections from the six CMIP6 GCMs diverged significantly.All GCMs indicated increasing water conservation under SSP1-2.6,while SSP5-8.5 exhibited the largest fluctuations.The projected increase under SSP2-4.5 was slightly lower than under other scenarios.The areas with the highest values are located in the Yellow River source area,followed by the Tangnaihai-Lanzhou area,while the Wei River-Yiluo River basin has the lowest values.GCMs uncertainty constituted the primary source of projection uncertainty,followed by scenario uncertainty,with internal variability having minimal impact.Total fractional uncertainty was greater in the long term than in the near term of future.

鞠琴;徐奕丹;周旻霈;林慧;吴金雨;金君良;马静;王怡宁

河海大学水灾害防御全国重点实验室河海大学水灾害防御全国重点实验室中国雅江集团有限公司河海大学水灾害防御全国重点实验室水利部南京水利水文自动化研究所||江苏南水科技有限公司河海大学水灾害防御全国重点实验室河海大学水灾害防御全国重点实验室南京水利科学研究院水灾害防御全国重点实验室

CMIP6气候模式水源涵养量InVEST模型不确定性黄河水源涵养区

CMIP6 global climate modelwater conservation capacityInVEST modeluncertaintythe Yellow River water conservation area

《水资源保护》 2026 (3)

164-173,10

国家重点研发计划项目(2022YFC3202401)国家自然科学基金项目(52525902,52279018)江苏省大学生创新创业项目(S202510294004)

10.3880/j.issn.1004-6933.2026.03.019

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