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Analysis of correlation and variation of cadmium in soil around enterprises in Fujiang River Basin

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Abstract

To explore the correlation and spatial variation law of cadmium (Cd) in the soil around enterprises in the Fujiang River Basin, Global Moran's I and Anselin Local Moran's I were used to analyze the correlation, and the spatial structure was analyzed by using semivariogram. The results show that: the overall level of Cd in the soil around the enterprises in Fujiang River Basin is relatively low, which does not exceed the risk screening value of the national soil environmental quality standard in China (GB15618-2018), and only a few parts exceeded the risk screening value; The spatial correlations of Cd vary with the directions and distances. The distribution area of high-value clustering points and abnormal value points of soil Cd is small, most of the area belongs to the low-value cluster and insignificant points, which correlates with the number of distributed enterprises and the geological background to some extent. The spatial variation of Cd in soil is of moderate intensity, and the spatial differences vary with the directions, according to the order from large to small: 0° > 90° > 45° > 135°, the spatial differences are consistent with the distribution of local cold hot spots and outliers.

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References

  • Bivand RS, Wong DWS (2018) Comparing implementations of global and local indicators of spatial association. Test 27, 716–748.

  • Boots B, Tiefelsdorf MJ (2000) Global and local spatial autocorrelation in bounded regular tessellations. J Geogr Syst 2:319–348

    Article  Google Scholar 

  • Chandra R, Prusty BAK, Azeez PA (2014) Spatial variability and temporal changes in the trace metal content of soils: implications for mine restoration plan. Environ Monit Assess 186:3661–3671

    Article  Google Scholar 

  • Chen HM (2018) Environmental soil science, 3rd edn. Science Press, Beijing, pp 33–35

    Google Scholar 

  • Cui YJ (2003) Cadmium migration and accumulation in soil-plant-human system and its influencing factors. Acta Ecolgica Sinica 20:2133–2143

    Google Scholar 

  • Feng YJ, Chen LJ, Chen XJ (2019) The impact of spatial scale on local Moran’s I clustering of annual fishing effort for Dosidicus gigas offshore Peru. Journal of Oceanology and Limnology 37:330–343

    Article  Google Scholar 

  • Fu YY, Jiang P, Liu AH et al (2019) Geostatistical analysis of the aspatial distribution with different stand types of diaspidiotus slavonicus. J Northwest for Univ 34:187–1939

    Google Scholar 

  • Li CZ, Ou XH, Zhang CL et al (2018) The pollution assessment and spatial variability of soil heavy metals in farmland along Huanjiang river. Acta Agriculturae Universitis Jiangxiensis 40:1348–1356

    Google Scholar 

  • Lin YP (2002) Multivariate geostatistical methods to identify and map spatial variations of soil heavy metals. Environ Geol 42:1–10

    Article  Google Scholar 

  • Liu W, Gao YB, Zhou YB et al (2019) Multi scale analysis of spatial variability of heavy metals in farmland soils: case study of soil Cd in Shunyi District of Beijing, China. Journal of Agro-Environment Science 38:87–94

    Google Scholar 

  • Qin ZH, Shi HD, Wang MH et al (2018) Spatial distribution and correlation of soil cadmium contamination in Xiangjiang river tributary basin of China. Res Environ Sci 31:1399–1406

    Google Scholar 

  • Rajendra H, Bardhan G, Niranjana KV, Bhaskar BP et al (2019) Spatial variability and mapping of selected soil properties in Kaligaudanahalli Microwatershed, Gundlupet Taluk, Chamarajanagar District, under hot semi arid agrosubregion of Central Karnataka Plateau, India. SN Appl Sci 1:1–15

    Google Scholar 

  • Schmal C, Myung J, Herzel H, Bordyugov G (2017) Moran’s I quantifies spatio-temporal pattern formation in neural imaging data. Bioinformatics (oxford, England) 33:3072–3079

    Article  Google Scholar 

  • Styrishave B, Bjorklund E, Johnsen A et al (2012) Study on spatial soil ecology based on spatial heterogeneity analysis of soil organisms. Water Air Soil Pollut 223:969–977

    Article  Google Scholar 

  • Sun BF, Zhao H, Lu F et al (2018) Spatial and temporal patterns of carbon sequestration in the northeastern forest regions and its impact factors analysis. Acta Ecol Sin 38:4975–4983

    Google Scholar 

  • Vries WD, Romkens PF, Schutze G (2007) Critical soil concentrations of cadmium, lead, and mercury in view of health effects on humans and animals. Rev Environ Contam Toxicol 191:91–130

    Google Scholar 

  • Wu C, Huang J, Minasny B et al (2017) Two-dimensional empirical mode decomposition of heavy metal spatial variation in agricultural soils, Southeast China. Environ Sci Pollut Res 24:8302–8314

    Article  Google Scholar 

  • Ye LP, Tan WF, Fang LC et al (2019) Research advances in spatial variability of soil aggregate by using geostatistics. Sci Soil Water Conservation 17:146–156

    Google Scholar 

Download references

Acknowledgements

This article is funded by Shandong Provincial Natural Science Foundation (ZR2021MD101) and National Natural Science Foundation of China (No. 41202165, No.41102149).

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Correspondence to Wu Qianqian.

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Jiaguo, R., Kun, F., Chenxue, S. et al. Analysis of correlation and variation of cadmium in soil around enterprises in Fujiang River Basin. Environ Earth Sci 81, 199 (2022). https://doi.org/10.1007/s12665-022-10308-w

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  • DOI: https://doi.org/10.1007/s12665-022-10308-w

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