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鄂尔多斯市产水量与碳储量时空演变及关联分析OA

Spatiotemporal evolution and correlation analysis of water yield and carbon storage in Ordos City

中文摘要英文摘要

基于InVEST 模型分析了2010-2022 年鄂尔多斯市产水量与碳储量的时空演变特征,并利用地理时空加权回归模型(GTWR)与空间自相关分析探究了产水量与碳储量影响因素的空间集聚特征及两者的空间异质性.结果表明:产水量与碳储量的莫兰指数均值为0.351,呈现高产水量-高碳储量与低产水量-低碳储量的集聚特征;多年平均产水量达 27.965 亿 m3,年际波动显著,主要受土地利用类型、蒸散发和碳储量影响;碳储量呈增长态势,由 2010 年的 11.566 亿 t 增长至 2022 年的11.949 亿 t,主要受土地利用类型和产水量影响.

The spatiotemporal evolution characteristics of water yield and carbon storage in Ordos City from 2010 to 2022 were analyzed using the InVEST model.The geographically and temporally weighted regression(GTWR)model and spatial autocorrelation analysis were used to investigate the spatial clustering characteristics of influencing factors and the spatial heterogeneity between water yield and carbon storage.The results show that the mean Moran's index of water yield and carbon storage was 0.351,exhibiting high water yield-high carbon storage and low water yield-low carbon storage clustering patterns.The multi-year average water yield was 2.796 5 billion m3 with significant interannual fluctuations,and it was primarily influenced by land use type,evapotranspiration,and carbon storage.Carbon storage showed an increasing trend,rising from 1.1566 billion tons in 2010 to 1.1949 billion tons in 2022,and was mainly affected by land use type and water yield.

刘瑞华;左其亭;杨智楷

郑州大学水利与交通学院郑州大学水利与交通学院||郑州大学黄河生态保护与区域协调发展研究院郑州大学水利与交通学院

建筑与水利

产水量碳储量InVEST 模型GTWR 模型空间自相关分析鄂尔多斯市

water yieldcarbon storageInVEST modelGTWR modelspatial autocorrelation analysisOrdos City

《水利水电科技进展》 2026 (5)

58-66,9

国家重点研发计划项目(2024YFC3211301)国家自然科学基金项目(52279027)

10.3880/j.issn.1006-7647.2026.05.008

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