综合实测光谱与Sentinel-2影像的农田土壤重金属含量时空变化研究:以辽宁苏子河流域为例  

Spatial-temporal variation of heavy metal content in farmland soil based on measured spectra and Sentinel-2 images:taking Suzi River basin in Liaoning Province as an example

作　　者：张玉峰 陈圣波[1] 韩程 张梦娇 张斌 ZHANG Yufeng;CHEN Shengbo;HAN Cheng;ZHANG Mengjiao;ZHANG Bin(College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China)

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026

出　　处：《世界地质》2023年第3期568-576,共9页World Geology

基　　金：吉林省科技发展项目(20210201138GX)。

摘　　要：农田土壤重金属污染严重影响着作物生长和人类健康,为了探索一种快速、准确的土壤重金属含量遥感监测方法,以辽宁省苏子河流域为研究区域,将实测光谱数据转换为多光谱数据。笔者利用偏最小二乘回归法(PLSR)建立相关关系模型,选择最优模型运用到2016年和2020年苏子河流域的Sentinel-2影像。结果表明:综合实测光谱与多光谱可用于土壤重金属含量监测,各模型R^(2)均高于0.50,2年间流域内农田土壤重金属元素中Cu、Ni、Pb、Zn含量增加,Cd、Cr、As含量降低,超标的重金属元素由Cd、Cr、Cu变化为Cu、Ni、Pb、Zn。经分析,重金属相关含量变化与矿场、农业种植结构以及生活垃圾等密切相关。Heavy metal pollution in farmland soil seriously affects crop growth and human health.In order to explore a fast and accurate remote sensing monitoring method for heavy metal content in soil,the Suzi River basin in Liaoning Province was taken as the study area to convert the measured spectral data into multi-spectral data.The authors used the partial least squares regression method(PLSR)to establish a correlation model,and selected the optimal model to apply to the Sentinel--2 images of Suzi River basin in 2016 and 2020.The results show that the comprehensive measured spectrum and multi-spectrum can be used to monitor the content of heavy metals in soil.Each model s R^(2)is greater than 0.50.During the two years,the contents of Cu,Ni,Pb and Zn in the farmland soil increased,and the contents of Cd,Cr and As decreased.The excessive heavy metal elements changed from Cd,Cr and Cu to Cu,Ni,Pb and Zn.Through analysis,the changes of heavy metal contents are closely related to mines,agricultural planting structures,and domestic waste.

关 键 词：重金属 实测光谱 多光谱 偏最小二乘 苏子河流域 

分 类 号：P237[天文地球—摄影测量与遥感] X833[天文地球—测绘科学与技术]