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基于卫星遥感的内蒙古达拉特旗黄河南岸灌区土壤盐分时空演变分析

吴雨箫 谢梅 经思思 陈皓锐 张宝忠 陶园 陈俊英 李云 旭日干 苗平 马红丽

农业机械学报2025,Vol.56Issue(8):42-51,85,11.
农业机械学报2025,Vol.56Issue(8):42-51,85,11.DOI:10.6041/j.issn.1000-1298.2025.08.004

基于卫星遥感的内蒙古达拉特旗黄河南岸灌区土壤盐分时空演变分析

Analysis of Spatial and Temporal Evolution of Soil Salinity in Yellow River South Bank Irrigation Area of Dalate Banner,Inner Mongolia Based on Satellite Remote Sensing

吴雨箫 1谢梅 2经思思 1陈皓锐 2张宝忠 2陶园 2陈俊英 1李云 3旭日干 3苗平 4马红丽4

作者信息

  • 1. 西北农林科技大学水利与建筑工程学院,陕西杨凌 712100
  • 2. 中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038||国家节水灌溉北京工程技术研究中心,北京 100048
  • 3. 鄂尔多斯市水利事业发展中心,鄂尔多斯 017200
  • 4. 鄂尔多斯市河湖保护中心,鄂尔多斯 017200
  • 折叠

摘要

Abstract

Soil salinization is one of the major challenges to agricultural production,ecological environment and sustainable development of land resources in global arid and semi-arid regions.The irrigation area on the south bank of the Yellow River in Dalate Banner,Inner Mongolia has long been threatened by soil salinization.Studying the dynamic changes of soil salinity and its driving factors is of great guiding significance for agricultural production,ecological protection and water resource management in this area.Based on Sentinel-2 satellite data and field soil salinity data,the soil salinity content(SSC)during the bare soil period and the vegetation coverage period was estimated through Pearson correlation coefficient analysis(PCC),variable importance in projection analysis(VIP),grey relational analysis(GRA),and combined with three machine learning algorithms:backpropagation(BP),random forest(RF),and support vector machine(SVM).At the same time,based on the optimal inversion model and Landsat-5 and Sentine l-2 data,the spatio-temporal variation characteristics of soil salinity in the irrigation area from 2000 to 2024 were inverted and statistically analyzed.Finally,the driving effects of meteorological factors such as evaporation,precipitation,evapotranspiration ratio and temperature on soil salinity changes were analyzed.The results showed that the PCC-RF model performed best during the bare soil period(R2 of the modeling set was 0.849,RMSE was 0.118%,MAE was 0.079%;R2 of the validation set was 0.753,RMSE was 0.158%,MAE was 0.116%).The spatio-temporal variation characteristics indicated that the area of saline soil continued to increase from 2000 to 2008,while the water rights reform policy implemented from 2009 to 2016 effectively curbed the expansion of saline soil and converted a large area of saline soil into non-saline soil.Evaporation,precipitation,evapotranspiration ratio and temperature were the main meteorological influencing factors of soil salinity changes in the study area.The research result can provide a scientific basis for the monitoring and control of soil salinization in the irrigation area.

关键词

土壤盐分/遥感/时空变化/气象影响因素/Sentinel-2

Key words

soil salinity/remote sensing/temporal and spatial variation/meteorological influencing factor/Sentinel-2

分类

农业科技

引用本文复制引用

吴雨箫,谢梅,经思思,陈皓锐,张宝忠,陶园,陈俊英,李云,旭日干,苗平,马红丽..基于卫星遥感的内蒙古达拉特旗黄河南岸灌区土壤盐分时空演变分析[J].农业机械学报,2025,56(8):42-51,85,11.

基金项目

"科技兴蒙"行动重点专项(2022EEDSKJXM004)和鄂尔多斯市水利科技重点专项(ESKJ2023-001) (2022EEDSKJXM004)

农业机械学报

OA北大核心

1000-1298

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