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Study on the Hyperspectral Retrieval and Ecological Risk Assessment of Soil Cr, Ni, Zn Heavy Metals in Tailings Area

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Abstract

The large-scale rapid monitoring of heavy metal pollution has become a hot topic due to increasing contamination of Tailings soil by heavy metal. In order to explore the possibility of using soil spectrum to estimate the content of heavy metals in soil and realize the rapid monitoring of soil heavy metals in the Yangshanchong tailings area in Tongling, China. The spectral reflectance of soil and the content of heavy metals (Cr, Ni, Zn) in soil were determined. The optimal bands of Cr, Ni and Zn elements in soil appeared at 467 nm, 467 nm and 468 nm respectively, and the maximum correlation coefficients were − 0.716, − 0.685 and − 0.630. The inversion model of element Cr constructed under the Reciprocal Transformation Second Derivative has a better effect, and its determination coefficient R2 is 0.613; It is better to construct the model of elements Ni and Zn in the form of Reciprocal Transformation First Derivative, and their determination coefficients R2 are 0.724 and 0.603, respectively. The results of the single factor index method showed that the pollution degree of heavy metal elements in the soil in the study area is Ni > Zn > Cr; the Nemerow comprehensive pollution index method showed that the three elements in the study area were polluted to varying degrees, and the comprehensive pollution index was in order Ni > Zn > Cr; Comprehensive potential ecological hazard index evaluation, the pollution degree and ecological risk of the study area were low.

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Acknowledgements

We are grateful to the chief editor and anonymous reviewers for illuminating comments. This research was mainly supported by “Natural Science Foundation of Anhui Province” (Grant No. 1908085MC60), the Natural Science Foundation of Anhui Province (Grant No. 1508085QC68), the University Synergy Innovation Program of Anhui Province (GXXT-2020-075), “Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Anhui Normal University”, ‘‘Foundation of Provincial Key Laboratory of Conservation and Utilization for Important Biological Resource in Anhui” and Foundation of Key Lab Biot Environm & Ecol Safety Anhui Prov.

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Authors and Affiliations

  1. School of Ecology and Environment, Anhui Normal University, 189 South Jiuhua Road, Wuhu, 241002, Anhui, China

    Hongfei Yang, Hao Xu & Xuanning Zhong

  2. Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Anhui Normal University, Wuhu, China

    Hongfei Yang, Hao Xu & Xuanning Zhong

  3. Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Wuhu, China

    Hongfei Yang

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  1. Hongfei Yang
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  2. Hao Xu
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  3. Xuanning Zhong
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HFY conceived and designed the experiments. HFY and HX performed the experiments. HFY, HX and XNZ analyzed the data. HFY and HX wrote the paper.

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Correspondence to Hongfei Yang.

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Yang, H., Xu, H. & Zhong, X. Study on the Hyperspectral Retrieval and Ecological Risk Assessment of Soil Cr, Ni, Zn Heavy Metals in Tailings Area. Bull Environ Contam Toxicol 108, 745–755 (2022). https://doi.org/10.1007/s00128-021-03383-5

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