Gu Gao-Quan, Wan Xiao-Ming, Zeng Wei-Bin, Lei Mei
Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Huan Jing Ke Xue. 2021 Mar 8;42(3):1081-1092. doi: 10.13227/j.hjkx.202008218.
Coking plants are typical industrial pollution sites and may release heavy metals into the environment, posing a threat to human health. Scholars have discovered that different types of heavy metals are released during different coking production processes and lead to spatial differences in heavy metals. Research on the spatial distribution and driving factors of pollutants in the soil inside and outside coking plants is important for sampling design, risk assessment, pollution prevention and control, etc.. Inverse distance weight was used to analyze the spatial distribution of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn inside and outside of the coking plant. A geo-detector was used to find out the difference in the driving factors for the spatial distribution of heavy metals between soil from inside and outside the coking plant. The results showed that except As, Ni, and Zn, the overall background value rate of other heavy metals was above 50%, and the continuity of the spatial distribution of heavy metals in the soil was poor. The coefficient of variation (CV) exceeded 30%, representing a moderate variation. The average degree of CV inside the coking plant was Hg > Cd > As > Cu > Zn > Cr > Pb > Ni, and the external average degree of CV was Hg > Cu > Cd > As > Zn > Pb > Cr > Ni. An analysis of heavy metal content showed that the content of As, Cd, Cr, Pb, and Zn outside the coking plant was bigger than inside. According to geo-detector results, the physicochemical properties factors with a large contribution rate to the spatial distribution of heavy metals inside and outside the coking plant was the soil's total nitrogen, organic matter, and available medium-micro element content. Pollution source factors that contributed the most to the spatial distribution of heavy metals inside were the crude benzol and cold drum section, while the coke oven and quench section determined the outside spatial distribution of heavy metals. The value of the strongest factor inside the coking plant was more than 0.5 while outside the coking plant it was less than 0.5. According to the interaction detector result, the interaction factors values of pollution sources and soil physicochemical properties to the inside spatial distribution of heavy metals was higher than outside. According to the distribution and geo-detector results, the strongest physicochemical properties driving factors that determined the inside and outside spatial distribution of heavy metals were relatively consistent. These factors were soil nutrient factors, which mainly influenced the availability of heavy metals. The differences in the production processes led to the difference between the inside and outside spatial distribution of heavy metals. The content of heavy metals outside the coking plant was higher than inside because the heavy metals came from various pollution sources. The driving forces for the distribution of heavy metals inside the plant were higher than outside and showed that the heavy metals inside of the plant were mainly from the coking plant. Heavy metal distribution inside the coking plant was mainly driven by the pollution source factor of the coking refining process and coking water, while heavy metal distribution outside the coking plant was mainly driven by the coking gas production process and other emission pollution source factors.
焦化厂是典型的工业污染场地,可能会将重金属释放到环境中,对人类健康构成威胁。学者们发现,在不同的焦化生产过程中会释放不同类型的重金属,从而导致重金属的空间差异。研究焦化厂内外土壤中污染物的空间分布及驱动因素,对于采样设计、风险评估、污染防治等具有重要意义。采用反距离权重法分析了焦化厂内外砷、镉、铬、铜、汞、镍、铅和锌的空间分布。利用地理探测器找出焦化厂内外土壤中重金属空间分布驱动因素的差异。结果表明,除砷、镍和锌外,其他重金属的整体背景值率均在50%以上,土壤中重金属空间分布的连续性较差。变异系数(CV)超过30%,表示为中等变异。焦化厂内CV的平均程度为汞>镉>砷>铜>锌>铬>铅>镍,外部CV的平均程度为汞>铜>镉>砷>锌>铅>铬>镍。重金属含量分析表明,焦化厂外砷、镉、铬、铅和锌的含量高于厂内。根据地理探测器结果,对焦化厂内外重金属空间分布贡献率较大的理化性质因素是土壤全氮、有机质和有效中微量元素含量。对焦化厂内重金属空间分布贡献最大的污染源因素是粗苯和冷鼓段,而焦炉和熄焦段决定了厂外重金属的空间分布。焦化厂内最强因素的值大于0.5,而厂外小于0.5。根据交互探测器结果,污染源与土壤理化性质对厂内重金属空间分布的交互因素值高于厂外。根据分布和地理探测器结果,决定厂内和厂外重金属空间分布的最强理化性质驱动因素相对一致。这些因素是土壤养分因素,主要影响重金属的有效性。生产过程的差异导致了厂内和厂外重金属空间分布的差异。焦化厂外重金属含量高于厂内,是因为重金属来自各种污染源。厂内重金属分布的驱动力高于厂外,表明厂内重金属主要来自焦化厂。焦化厂内重金属分布主要受焦化精炼工艺和焦化水的污染源因素驱动,而厂外重金属分布主要受焦化煤气生产工艺和其他排放污染源因素驱动。