首页|基于RUSLE模型的京津冀地区土壤侵蚀时空变化分析

基于RUSLE模型的京津冀地区土壤侵蚀时空变化分析

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[目的]土壤侵蚀是一种日益严重的生态问题,已经成为全球性的环境挑战,对人类的生存和可持续发展产生了极大的威胁.因此基于多源遥感数据,[方法]通过RUSLE模型和地理探测器模型研究了 1990-2020年京津冀地区土壤侵蚀在时空尺度上的动态变化,并对其驱动因素进行了分析.[结果]结果显示:(1)1990-2020年京津冀地区的土壤侵蚀总体呈现东南低西北高的分布特征,且以微度和轻度侵蚀为主,其百分比达到73.79%.(2)京津冀大部分地区土壤侵蚀等级主要由高向微强度侵蚀转移,且转移比例都在50%以上,整体有所好转,但存在局部加剧.(3)各个影响因子对土壤侵蚀的解释力依次为:坡度>高程>土地覆盖类型>植被覆盖度>降雨量>人口密度>GDP.[结论]相关结论可为水土流失治理以及防治提供一定的科学参考,同时也可为其他地区的土壤侵蚀治理提供参考.
Temporal and spatial variation analysis of soil erosion in Beijing-Tianjin-Hebei region based on RUSLE model
[Objective]Soil erosion is an increasingly serious ecological problem,which has become a global environmental chal-lenge and poses a great threat to human survival and sustainable development.[Methods]Therefore,based on multi-source remote sensing data,the dynamic changes of soil erosion in Beijing-Tianjin-Hebei region from 1990 to 2020 are studied by RU-SLE model and geographical detector model,and its driving factors are analyzed.[Results]The result show that:(1)From 1990 to 2020,the distribution of soil erosion in the Beijing-Tianjin-Hebei region shows an overall pattern of southeast low and northwest high,with slight and mild erosion being the main types,accounting for 73.79%of the total.(2)In most areas of Beijing-Tianjin-Hebei,the soil erosion level is mainly shifting from high to slight and mild intensity,with a transition ratio of over 50%,showing an overall improvement but with some areas worsening.(3)The explanatory power of each influencing factor to soil erosion is:slope>elevation>land cover type>vegetation coverage>rainfall>population density>GDP.[Conclusion]The relevant conclusion can provide some scientific reference for soil erosion control and prevention,and can also provide refer-ence for soil erosion control in other areas.

soil erosionRUSLE modelsatellite remote sensingBeijing-Tianjin-Hebei regiongeographic detectorspatiotem-poral distribution

李静、曹永强、么嘉棋、贾国栋、权学烽、翟浩然

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天津师范大学京津冀生态文明发展研究院,天津 300387

清华大学水沙科学与水利水电工程全国重点实验室,北京 100084

中国科学院西北生态环境资源研究院文献情报中心,甘肃兰州 730000

自然资源部国土卫星遥感应用中心,北京 100048

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土壤侵蚀 RUSLE模型 卫星遥感 京津冀地区 地理探测器 时空分布

长江水利委员会长江科学院对外开放研究基金(2016)清华大学水沙科学与水利水电工程全国重点实验室项目国家自然科学基金国家自然科学基金

CKWV2016392/KYsklhse-2021-A-065237902152079060

2024

水利水电技术(中英文)
水利部发展研究中心

水利水电技术(中英文)

CSTPCD北大核心
影响因子:0.456
ISSN:1000-0860
年,卷(期):2024.55(4)
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