RESUMEN
In Lijiang City, as a typical example, 93 soil samples were collected from the study area, and soil pHï¼ organic matterï¼ and heavy metals arsenic ï¼Asï¼, mercury ï¼Hgï¼, copper ï¼Cuï¼, zinc ï¼Znï¼, lead ï¼Pbï¼, cadmium ï¼Cdï¼, and chromium ï¼Crï¼ were determined. We explored the sources of heavy metals in the study area by means of Positive Definite Matrix Factorization ï¼PMFï¼ modeling and analyzed the impact of influencing factors by combining seven heavy metals with 13 influencing factors in a GeoDetector. The results showed that the mean values of soil heavy metals ωï¼Asï¼, ωï¼Hgï¼, ωï¼Cuï¼, ωï¼Znï¼, ωï¼Pbï¼, ωï¼Cdï¼, and ωï¼Crï¼ in the study area were 17.55, 0.19, 86.75, 164.84, 28.95, 0.39, and 167.87 mg·kg-1, respectively, which were greater than the background values of soils in Yunnan Province ï¼except for As and Pbï¼. Regarding spatial distribution, the high values of Cu and Cr content were mainly concentrated in Yulong Naxi Autonomous Countyï¼ the high value areas of As, Hg, Pb, and Cd were mainly concentrated in Ninglang Yi Autonomous Countyï¼ and the high value of Zn content was mainly concentrated in Huaping County. Correlation analysis and PMF modeling revealed that the main sources of heavy metals As and Hg in the study area were industrial sources, Zn was from transportation pollution sources, Cr and Cu were from natural sources, and Cd and Pb were from agricultural sources. Further, the factor detector of the GeoDetector found that soil pH and organic matter ï¼OCï¼ had strong explanatory power for the content of seven heavy metals, and the interaction detector found that the results following the interaction of different influencing factors were nonlinear enhancement or two-factor enhancement, in which the interaction of OC and pH was the dominant factor for the spatial differentiation of heavy metals. This provides an important scientific basis for the protection of the soil environmental health and sustainable development in Lijiang City.
RESUMEN
A farmland area in Zhaotong City was taken as the research objectï¼ and the method of point-to-point collaborative sampling was used to collect farmland soil and vegetables in Zhaotong and test the content of six heavy metalsï¼ namely Asï¼ Pbï¼ Cuï¼ Znï¼ Cdï¼ and Cr. The geo-accumulation index and potential ecological risk index were used to evaluate the heavy metal pollution of soil. The health risk model was used to evaluate the risk to the human body imposed by vegetables. The results showed that Cuï¼ Znï¼ Pbï¼ Cdï¼ and Cr pollution existed in the research area. Compared with the risk screening value of farmlandï¼ the over-standard rates were 34.35%ï¼ 6.87%ï¼ 2.29%ï¼ 80.15%ï¼ and 6.11%ï¼ respectivelyï¼ Pbï¼ Cdï¼ and Cr were found in vegetables. Compared with the pollutant limit in foodï¼ the over-standard rates were 6.87%ï¼ 15.27%ï¼ and 36.64%ï¼ respectively. According to the soil pollution evaluationï¼ Cd in the soil showed a strong ecological riskï¼ and other heavy metals in the soil showed a mild ecological risk. The human health risk evaluation model showed that both non-carcinogenic risk and carcinogenic risk were out of the acceptable range and had a greater influence on children. Correlation analysis showed that As in the soil had an antagonistic effect on Cu and Zn absorption by vegetablesï¼ whereas Cr in the soil could promote Cu and Zn absorption by vegetables.