2000—2020年黄河流域甘肃段产水量的趋势演变  

Variation in water yield of Yellow River Basin in the Gansu Section from 2000 to 2020

作　　者：张江科 戴文渊 高彦婷 张芮 ZHANG Jiangke;DAI Wenyuan;GAO Yanting;ZHANG Rui(College of Water Resources and Hydropower Engineering,Gansu Agricultural University,Lanzhou 730070,China;Environmental Law School of Gansu University of Political Science and Law,Lanzhou 730070,China)

机构地区：[1]甘肃农业大学水利水电工程学院,兰州730070 [2]甘肃政法大学环境法学院,兰州730070

出　　处：《灌溉排水学报》2025年第3期104-112,共9页Journal of Irrigation and Drainage

基　　金：甘肃省科技重大专项(23ZDFA009);甘肃省水利科学试验研究与技术推广计划项目(23GSLK091);甘肃省社科规划项目(2022YB088);甘肃省高校教师创新基金项目(2025A-130)。

摘　　要：【目的】探究黄河流域甘肃段2000—2020年产水量动态变化趋势。【方法】采用InVEST模型模拟评估2000—2020年黄河流域甘肃段产水量,并采用空间格局分析、趋势分析和冷热点分析分别探究产水量的空间分布情况、时间演变轨迹以及关键区域定位。【结果】2000—2020年研究区平均产水量由295.09mm增长到442.12mm;其空间分布与海拔高程呈明显的协同关系;甘南州产水量达到峰值且表现最优,白银、庆阳市等区域产水量较差;结合土地利用类型得知,水体对区域产水量的贡献明显且稳定,积雪和冰川的产水供给能力受年际气候变化的影响较大。【结论】研究区2000—2020年产水量整体随时间序列呈上升趋势,且在不同海拔、气候和土地利用类型的空间影响下表现出冷热不均的异质性分布特征。【Objective】Water yield is a key parameter for assessing water productivity,with significant spatiotemporal variation.This study aims to analyze the spatiotemporal variation in water yield in the Gansu Section of the Yellow River Basin from 2000 to 2020.【Method】The InVEST model was employed to calculate water yield,while spatial pattern analysis,trend analysis,and hot-spot and cold-spot analysis were conducted to assess distribution patterns,temporal changes,and key areas of variation in water yield.【Result】Between 2000 and 2020,the average water yield in the Gansu Section of the Yellow River Basin increased from 295.09 mm to 442.12 mm.Water yield showed a strong correlation with elevation,with the highest water yield observed in Gannan Prefecture and the lowest in Baiyin and Qingyang.Land-use analysis revealed that liquid water bodies contributed the most to water yield,while contributions from snow and glaciers varied due to interannual climatic fluctuations.【Conclusion】From 2000 to 2020,the water yield in the Gansu Section of the Yellow River increased,with significant spatial variation.This variation was primarily influenced by elevation,climate conditions,and land-use types.These findings highlight the need for improved water resource management strategies in the region.

关 键 词：产水量 时空格局 InVEST模型 黄河流域甘肃段 

分 类 号：P333[天文地球—水文科学] TV121.7[水利工程—水文学及水资源]