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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

鞠琴 徐奕丹 周旻霈 林慧 吴金雨 金君良 马静 王怡宁

水资源保护2026,Vol.42Issue(3):164-173,10.
水资源保护2026,Vol.42Issue(3):164-173,10.DOI:10.3880/j.issn.1004-6933.2026.03.019

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

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

鞠琴 1徐奕丹 1周旻霈 2林慧 1吴金雨 3金君良 1马静 1王怡宁4

作者信息

  • 1. 河海大学水灾害防御全国重点实验室
  • 2. 中国雅江集团有限公司
  • 3. 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
  • 4. 南京水利科学研究院水灾害防御全国重点实验室
  • 折叠

摘要

Abstract

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.

关键词

CMIP6气候模式/水源涵养量/InVEST模型/不确定性/黄河水源涵养区

Key words

CMIP6 global climate model/water conservation capacity/InVEST model/uncertainty/the Yellow River water conservation area

引用本文复制引用

鞠琴,徐奕丹,周旻霈,林慧,吴金雨,金君良,马静,王怡宁..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[J].水资源保护,2026,42(3):164-173,10.

基金项目

国家重点研发计划项目(2022YFC3202401) (2022YFC3202401)

国家自然科学基金项目(52525902,52279018) (52525902,52279018)

江苏省大学生创新创业项目(S202510294004) (S202510294004)

水资源保护

1004-6933

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