水电工程库周碳储量时空演变及驱动因素分析OA
Spatiotemporal evolution and driving factors of carbon storage in reservoir rim regions of hydropower projects
为夯实水电工程低碳属性,本研究以大渡河中游 2010 年底投产的瀑布沟水电工程为对象,基于 1990-2023 年土地利用数据,运用InVEST 模型和地理探测器,分析库周区域碳储量时空演变及驱动机制.结果显示,研究期内土地利用经历"自然演替-工程扰动-生态调整"三阶段,林地始终为优势地类,占比逐步升至 70.22%.碳储量空间上呈"高海拔富集、低海拔稀疏"特征,时间上年均增长0.11%,表明在水电工程建设运营的背景下,库周区域通过生态恢复实现了碳增汇,其中林地为碳汇核心贡献者.碳储量空间分异由自然因子主导,社会经济因子影响较弱,双因子交互作用增强分异性.该成果可为高山峡谷区水电工程的低碳效益评估提供新视角,为库周区域生态管理提供科学依据.
This study aims to verify the low-carbon attributes of hydropower projects.Focusing on the Pubugou hydropower project commissioned in late 2010 on the mainstream of the middle Dadu River,we examine the spatiotemporal evolution and driving mechanisms of carbon storage in the reservoir rim region using the InVEST model and Geodetector,based on its 1990-2023 land use data.The results indicate the region's land use underwent three distinct stages in the study period-natural succession,engineering disturbance,and ecological adjustment.Forest land consistently remained dominant in land cover type,with its proportion gradually increasing up to 70.2%.Spatially,carbon storage featured a pattern of being enriched at higher elevations and sparse at lower elevations;Temporally,it grew at an average annual rate of 0.11%,verifying carbon sequestration has been enhanced in the region since the completion of this project.Forest land acted as the core contributor to carbon sequestration.We also find that natural factors were dominant in the spatial differentiation,while socioeconomic factors imposed relatively weak influences.The interaction of dual factors further enhanced this spatial differentiation.These findings provide a novel perspective for assessing the low-carbon benefits of hydropower projects in alpine valley regions,and lay a basis for ecological management of reservoir rims.
马芳平;彭放;冯兴国;胡静;王皓冉;何文艳;张红
国家能源集团 大渡河流域水电开发有限公司,成都 610041国家能源集团 大渡河流域水电开发有限公司,成都 610041国家能源集团 大渡河流域水电开发有限公司,成都 610041国家能源集团 大渡河流域水电开发有限公司,成都 610041清华四川能源互联网研究院,成都 610000清华四川能源互联网研究院,成都 610000清华四川能源互联网研究院,成都 610000
资源环境
环境科学水电工程碳储量土地利用变化InVEST模型地理探测器
environmental sciencehydropower projectcarbon storageland use changeInVEST modelgeodetector
《水力发电学报》 2026 (2)
68-83,16
国家重点研发计划项目(2022YFB3207400)成都市科技局揭榜挂帅项目(N0.2025-YF09-00037-SN)
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