谐波分析红边光谱监测玉米重金属污染

Harmonic Analysis of Spectrum Red Edge Monitoring Heavy Metal Pollution of Corn

针对日益严重的植被重金属污染问题,提出了谐波分析红边光谱监测玉米重金属污染的方法。设置了不同浓度重金属Cu和Pb胁迫下的玉米盆栽试验,利用谐波分析技术将摄取的玉米叶片红边范围内的光谱进行谐波分解,提取初始相位,并分析了初始相位与叶片光谱红边位置之间的关系。结果表明,初始相位间接反映了受重金属胁迫玉米光谱的"红边蓝移"现象,且叶片光谱的红边位置与重金属含量具有一定的线性关系。因此,可以通过谐波分解的初始相位正确地判断叶片光谱的红边位置,进而可以监测玉米的重金属污染。

In view of the increasing heavy metal pollution of vegetation, harmonic analysis of spectrum red edge method was proposed in this paper to monitor the heavy metal pollution of coin, The experiment was seted up of corn potted plants, which stressed under different concentrations .of Cu and Pb, and harmonic analysis technology was used to decompose the spectrum within the scope of the corn leaf red edge, extract the initial phase, and analyze the relationship between the ini- tial phase and spectrum red edge position. Experimental results showed that initial phase reflects ＂Red Edge Blue Shift＂ phe- nomenon of spectrum, which stressed by heavy metal pollution, what＇s more, it had certain linear proportional relationship with heavy metal content and spectral red edge position of corn leaf. Therefore, red edge position of the leaf spectral can be resolved correctly by initial phase, in turn it could monitor the heavy metal pollution of corn.