| Exploitation of mining resources for the construction of the national economy provided a large amount of metal resources,played a good role in promoting local economic development.But the exploitation of mining resources,particularly metal mining resources exploitation in mining,smelting,transport,waste slag and slag emissions would lead mining soil and water enriched with the heavy metals.This paper selected Miyi typical vanadium-titanium magnetite zone as the research area,using ground spectrometer ASD FieldPro III collected spectrometer spectral data of soil,water,crops samples in and around the mining area.Heavy metal content of water and soil samples was analyzed in the laboratory by inductively coupled plasma mass spectrometer.The inversion model between the heavy metal content and spectral was built of the water and soil.The model was used to obtain a distribution of the mining of heavy metal pollution,provide detailed theoretical basis for the prevention and control of pollution in mining areas.Environmental pollution were analyzed mainly from plants,water and soil mining,the main work and achievements were as follows:(1)Soil.Through the elements of the original spectrum and its mathematical transform(a first derivative,second derivative,logarithm of the reciprocal,to the envelope)related to the form of spectral analysis after the heavy metal content obtained Mn,Cr,Zn the most relevant characteristics of the band of heavy metals,which features bands of Mn was 2142 nm,2296nm,2411 nm,characteristic bands of Cr to 2205 nm,2386nm,2411 nm,characteristic bands of Zn was 2205 nm,2267nm,2411 nm.The method of multiple linear regression analysis,the establishment of Mn,Cr,Zn inversion model of three elements,the model predicted results was good,Mn,Cr,Zn element measured and predicted values of the coefficient of determination were up 0.9358,0.86,0.7723.(2)Water.Heavy Metal pollution by the elements of the original spectrum and its mathematical transform(a first derivative,second derivative,logarithm of the reciprocal,to the envelope)Correlation Spectroscopy form after the heavy metal content found Pb in the original spectrum 677 nm and the ratio of 811 nm at R677 / R811 and Pb,there was a good correlation between the content and the method of linear regression analysis,the establishment of Pb in the reflection spectrum inversion model,Pb in the measured and predicted values of the coefficient of determination 0.6243,models predicted a good result.The heavy metal inversion model,combined with the GF-1 satellite band spectrum to establish a ground truth direct relationship with the conversion spectrum of satellite remote sensing,the study area Pb in water content distribution was predicted based on remote sensing images(3)Crops.Sweet potato,mango,peach three plant was selected as example,the researchers founded that plants red edge and heavy metal content had a good relationship.The same species was stressed by different kinds of metal at different level.Compared to near-infrared range of 700nm-1400 nm,visible spectral range and plants there were a correlation of more types of metal elements to the same species.In some measure,heavy metal elements for chlorophyll,lutein and other pigments that may affected the proportion of the metal element on the cell structure and water was more obvious.With different kinds of heavy metal influence on different plants,there was a big difference between the heavy metal content and plant spectral range.Spectral characteristics and heavy metal content correlation were analyzed to further clarify the element contents and plant spectral features associated interval,laid the foundation.to find sensitive elements and features bands... |
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