高光谱监测技术在重金属污染土壤上的应用

Hyperspectral monitoring of soil contaminated by heavy metals

为克服传统重金属污染监测的不足,加强新技术应用,通过田间实测和遥感光谱分析,探寻水稻光谱参数与土壤重金属污染之间的相关性。结果表明,水稻植株体内的重金属含量与土壤中重金属含量呈正相关;与水稻叶绿素含量(SPAD值)呈负相关,其中以Cd的相关性最为显著;而水稻SPAD值与高空遥感光谱的特征参数(蓝谷位置、蓝谷深度、红谷位置、红边峰值)有显著的相关性。因此,这4种光谱参数可较好地用于反演该区域稻田Cd污染情况。

To explore the correlation of spectrum parameters of rice with soil heavy metal pollution,the paddy field measurements in Guixi County of Jiangxi Province and the remote sensing spectral analyses were finished in this study.The results showed a positive correlation between heavy metals’contents(Cu,Pb,Zn,and Cd)in rice and in soil,but a negative correlation between heavy metals and chlorophyll content(SPAD value)of rice.Among the four polluted metals Cd had the highest correlated coefficients,and the rice SPAD value had a significant correlation with the remote sensing spectral characteristic parameters such as blue valley location,blue valley depth,red valley location,and red edge peak value only when the Cd pollution mentioned.Therefore,in the study area,the heavy metal Cd in paddy soil could be effectively monitored by the remote sensing spectroscopy.