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基于参数本地化InVEST模型的安徽省水源涵养功能研究 被引量:12

Studies on Water Retention Function of Anhui Province Based on InVEST Model of Parameter Localization
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摘要 水源涵养服务功能在生态系统服务功能中处于中心地位,定量评估水源涵养功能可为区域生态环境质量的评价提供参考。基于参数本地化的InVEST模型对安徽省2000~2019年逐年的水源涵养时空变化及其不同气候条件下的影响因素差异进行分析。结果表明:(1)20年来,安徽省水源涵养服务功能增强;(2)水源涵养深度空间分布格局表现为南高北低,钱塘江流域>长江流域>淮河流域;(3)多年均产水深度为763.1 mm,产水量为10.65×10^(10)m^(3),多年均水源涵养深度为193.7 mm,总量为26.8×10^(9)m^(3);(4)各地类中,草地产水能力最强,林地的水源涵养能力最强;(5)在干旱年2001年、正常年2008年、湿润年2015年,各因子对水源涵养量的解释力度排序没有太大差异,人为活动对于水源涵养服务功能的干预强度不断加大。 The service function of water retention is central in the ecosystem service function. The quantitative evaluation of water retention function can provide reference for the evaluation of regional ecological environment quality. Based on InVEST model with localized parameters analyzed the temporal and spatial changes of water retention year by year from 2000 to 2019 in Anhui Province and the differences of influencing factors under different climatic conditions. The results showed that in the past 20 years, Anhui Province water retention service function has enhanced. The spatial distribution pattern of water retention depth is high in the south and low in the north. The depth of water retention in the Qiantang River Basin is greater than that in the Yangtze River Basin, and the depth of water retention in HuaiHe River Basin is the lowest. The average annual water yield depth of Anhui Province was 763.1 mm, the average annual water yield was 10.65×10^(10)m^(3), the average annual water retention depth was 193.7 mm, the total amount was 26.8×10^(9)m^(3). From the land types, grassland water yield capacity was the strongest, woodland water retention capacity was the strongest. In the dry years of 2001, normal years of 2008, and wet years of 2015, there was no significant difference in the q ranking of the explanatory strength of the water retention function among all factors, and the intervention intensity of human activities on the water retention service function was constantly increasing.
作者 李莹莹 马晓双 祁国华 吴艳兰 LI Ying-ying;MA Xiao-shuang;QI Guo-hua;WU Yan-lan(School of Resources and Environmental Engineering,Anhui University,Hefei 230601,China;Information Materials and Intelligent Sensing Laboratory of Anhui Province,Anhui University,Hefei 230601,China;Key Laboratory of Ecological Protection and Restoration of Wetland in Anhui Province,Anhui University,Hefei 230601,China)
出处 《长江流域资源与环境》 CAS CSSCI CSCD 北大核心 2022年第2期313-325,共13页 Resources and Environment in the Yangtze Basin
基金 国家自然科学基金项目(41701390)。
关键词 水源涵养功能 时空格局 InVEST模型 标准化降水蒸散发指数 water retention function spatial-temporal pattern InVEST model SPEI
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