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近20年黄河流域夏季土壤水分时空变化特征及驱动因素分析

张亚楠 宋小宁 冷佩 高亮 尹德伟

中国科学院大学学报2024,Vol.41Issue(4):477-489,13.
中国科学院大学学报2024,Vol.41Issue(4):477-489,13.DOI:10.7523/j.ucas.2023.041

近20年黄河流域夏季土壤水分时空变化特征及驱动因素分析

Temporal and spatial variation of summer soil moisture and its driving factors in Yellow River basin during the last 20 years

张亚楠 1宋小宁 1冷佩 2高亮 1尹德伟1

作者信息

  • 1. 中国科学院大学资源与环境学院,北京 101408||中国科学院大学北京燕山地球关键带国家野外科学观测研究站,北京 101408
  • 2. 中国农业科学院农业资源与农业区划研究所,北京 100081
  • 折叠

摘要

Abstract

Based on the moderate resolution imaging spectroradiometer products and global land data assimilation system meteorological data from 2001 to 2020,soil moisture in summer in the Yellow River basin was retrieved based on the vegetation index/land surface temperature trapezoid feature spatial model.The spatial-temporal pattern and driving factors of soil moisture in the Yellow River basin were analyzed using the Sen slope method,Mann-Kendall method,and geographical detector.The results showed that soil moisture in the Yellow River basin had apparent spatial heterogeneity.The source and lower reaches of the Yellow River are humid,while the middle reaches are relatively dry.From 2001 to 2020,soil moisture in the Yellow River basin showed an insignificant increase and an insignificant decrease in space,accounting for 39.54%and 58.01%of the regional area,respectively.The growth rate of soil moisture in the upper reaches was the fastest.Precipitation is the dominant factor of temporal variation of soil moisture in the Yellow River basin.Temperature and elevation are the main factors affecting the spatial variation of soil moisture in the upper reaches,and normalized difference vegetation index and precipitation are the main driving factors influencing soil moisture change in the middle reaches of the Yellow River.

关键词

黄河流域/土壤水分/时空变化/梯形特征空间模型/地理探测器

Key words

Yellow River basin/soil moisture/spatial-temporal pattern/trapezoid feature spatial model/geographical detector

分类

信息技术与安全科学

引用本文复制引用

张亚楠,宋小宁,冷佩,高亮,尹德伟..近20年黄河流域夏季土壤水分时空变化特征及驱动因素分析[J].中国科学院大学学报,2024,41(4):477-489,13.

基金项目

国家自然科学基金(42041005)资助 (42041005)

中国科学院大学学报

OA北大核心CSTPCD

2095-6134

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