水体重金属Pb、Cd污染的室内高光谱特征反演研究  

Inversion of Indoor Hyperspectral Characteristics of Heavy Metal Pb and Cd Pollution in Water

作　　者：罗智文 汤玉奇 邹滨[1,2,3] 冯徽徽 韩特 周石松 LUO Zhiwen;TANG Yuqi;ZOU Bin;FENG Huihui;HAN Te;ZHOU Shisong(School of Geosciences and Info-Physics,Central South University,Changsha 410083,China;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education(Central South University),Changsha 410083,China;Key Laboratory of Spatiotemporal Information and Intelligent Services,Ministry of Natural Resources(Central South University),Changsha 410083,China)

机构地区：[1]中南大学地球科学与信息物理学院,湖南长沙410083 [2]有色金属成矿预测与地质环境监测教育部重点实验室(中南大学),湖南长沙410083 [3]时空信息与智能服务自然资源部重点实验室(中南大学),湖南长沙410083

出　　处：《测绘与空间地理信息》2024年第2期104-108,共5页Geomatics & Spatial Information Technology

摘　　要：针对水体重金属污染水质参数复杂、重金属含量少导致的遥感监测光谱反射率低、特征响应波段不明显等问题,本文以铅(Pb)、镉(Cd)为研究对象,配制室内单一重金属多浓度污染标准溶液,在光谱数学变换的基础上,通过相关性分析获取水体重金属Pb、Cd的污染特征响应波段,并进一步构建单波段非线性及多波段偏最小二乘反演模型。所获水体重金属Pb、Cd污染特征响应波段上的光谱特征与对应标准溶液的重金属污染浓度的相关性分析及其模型反演精度表明:一阶微分与包络线去除可有效提高水体重金属污染特征波段提取精度,且多波段反演模型优于单波段模型。本文可为进一步开展野外水体重金属污染反演研究提供理论支撑。In order to solve the problems of low spectral reflectance and unobvious characteristic response band of remote sensing moni-toring caused by complex water quality parameters and low heavy metal content in water polluted by heavy metals.This paper takes plumbum(Pb)and cadmium(Cd)as research objects,prepares indoor single heavy metal multi-concentration pollution standard so-lutions,and obtains the pollution characteristic response bands of heavy metal Pb and Cd in water through correlation analysis based on spectral mathematical transformation.Furthermore,single-band non-linear and multi-band partial least squares inversion models are constructed.The correlation analysis and model inversion accuracy between the spectral characteristics of the response bands of heavy metal Pb and Cd pollution characteristics in the obtained water and the heavy metal pollution concentration of the corresponding standard solution show that the first-order differential and envelope removal can effectively improve the extraction accuracy of charac-teristic bands of heavy metal pollution in water and the multi-band inversion model is superior to the single-band model.This paper provides theoretical support for further research on heavy metal pollution inversion in field water.

关 键 词：水体重金属污染 室内标样 高光谱特征提取 污染含量反演 

分 类 号：P237[天文地球—摄影测量与遥感]