基于RUSLE模型的京津冀地区土壤侵蚀时空变化分析
Temporal and spatial variation analysis of soil erosion in Beijing-Tianjin-Hebei region based on RUSLE model
李静 1曹永强 2么嘉棋 1贾国栋 1权学烽 3翟浩然4
作者信息
- 1. 天津师范大学京津冀生态文明发展研究院,天津 300387
- 2. 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
- 3. 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
- 4. 自然资源部国土卫星遥感应用中心,北京 100048
- 折叠
摘要
[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.
Abstract
[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.
关键词
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Key words
soil erosion/RUSLE model/satellite remote sensing/Beijing-Tianjin-Hebei region/geographic detector/spatiotem-poral distribution引用本文复制引用
基金项目
长江水利委员会长江科学院对外开放研究基金(2016)(CKWV2016392/KY)
清华大学水沙科学与水利水电工程全国重点实验室项目(sklhse-2021-A-06)
国家自然科学基金(52379021)
国家自然科学基金(52079060)
出版年
2024
国家科技期刊平台
NSTL
万方数据