龙口市污灌区铅含量高光谱监测研究

CN 11-2097/X ISSN 1000-8942

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龙口市污灌区铅含量高光谱监测研究

张龙龙, 吴泉源, 刘硕, 周历媛, 蔡东全

文章导航 > 环境工程 > 2015 > 33(8): 114-117

张龙龙, 吴泉源, 刘硕, 周历媛, 蔡东全. 龙口市污灌区铅含量高光谱监测研究[J]. 环境工程, 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

引用本文:

张龙龙, 吴泉源, 刘硕, 周历媛, 蔡东全. 龙口市污灌区铅含量高光谱监测研究[J]. 环境工程, 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

Zhang Longlong Wu Quanyuan Liu Shuo Zhou Liyuan Cai Dongquan, . RESEARCH ON MONITORING OF Pb CONTENT IN THE SEWAGE IRRIGATION AREA OFLONGKOU CITY USING HYPERSPECTRAL DATA[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

Citation:

Zhang Longlong Wu Quanyuan Liu Shuo Zhou Liyuan Cai Dongquan, . RESEARCH ON MONITORING OF Pb CONTENT IN THE SEWAGE IRRIGATION AREA OF LONGKOU CITY USING HYPERSPECTRAL DATA[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

张龙龙, 吴泉源, 刘硕, 周历媛, 蔡东全. 龙口市污灌区铅含量高光谱监测研究[J]. 环境工程, 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

引用本文:

张龙龙, 吴泉源, 刘硕, 周历媛, 蔡东全. 龙口市污灌区铅含量高光谱监测研究[J]. 环境工程, 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

Zhang Longlong Wu Quanyuan Liu Shuo Zhou Liyuan Cai Dongquan, . RESEARCH ON MONITORING OF Pb CONTENT IN THE SEWAGE IRRIGATION AREA OFLONGKOU CITY USING HYPERSPECTRAL DATA[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

Citation:

Zhang Longlong Wu Quanyuan Liu Shuo Zhou Liyuan Cai Dongquan, . RESEARCH ON MONITORING OF Pb CONTENT IN THE SEWAGE IRRIGATION AREA OF LONGKOU CITY USING HYPERSPECTRAL DATA[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(8): 114-117. doi: 10.13205/j.hjgc.201508026

龙口市污灌区铅含量高光谱监测研究

doi: 10.13205/j.hjgc.201508026

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- 刊出日期: 2015-08-22

RESEARCH ON MONITORING OF Pb CONTENT IN THE SEWAGE IRRIGATION AREA OF LONGKOU CITY USING HYPERSPECTRAL DATA

Zhang Longlong Wu Quanyuan Liu Shuo Zhou Liyuan Cai Dongquan,

摘要: 为了研究土壤光谱预测重金属Pb含量的可行性,使用重采样、一阶微分、倒数对数、小波分析和去包络线5种光谱数据处理方法,分别测取了样本点的土壤光谱数据和Pb元素含量,并通过逐步回归模型实现了土壤光谱数据对Pb元素含量的预测。研究发现基于倒数对数数据处理方法建立的回归模型精度较高,这表明使用土壤光谱预测Pb元素含量是可行的。

Abstract: In order to study the feasibility of using soil spectral to predict the content of heavy metal Pb，the paper measured soil spectral data and the Pb element's content of sample points． Using methods of resampling，first-order differential，inverse logarithm，wavelet analysis and envelope spectrum，a stepwise regression model was established to achieve the prediction of Pb element's content through soil spectral data． Regression model based on inverse logarithm processing method was of high precision． Thus，it is feasible to predict the content of Pb using soil spectral．

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