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西南典型碳酸盐岩高地质背景区农田重金属化学形态、影响因素及回归模型
引用本文:唐瑞玲,徐进力,刘彬,杜雪苗,顾雪,于林松,毕婧.西南典型碳酸盐岩高地质背景区农田重金属化学形态、影响因素及回归模型[J].环境科学,2024,45(5):2995-3004.
作者姓名:唐瑞玲  徐进力  刘彬  杜雪苗  顾雪  于林松  毕婧
作者单位:中国地质科学院地球物理地球化学勘查研究所, 廊坊 065000;山东省物化探勘查院, 济南 250013;山东省地质测绘院, 济南 250014
基金项目:中国地质调查局地质调查项目(DD20221770);中央级公益性科研院所基本科研业务费专项(AS2020J07)
摘    要:土壤重金属化学形态是决定重金属生物活性和生物毒性的重要因素,是科学评价西南碳酸盐岩高地质背景区土壤重金属生态风险的关键.为了探明碳酸盐岩高地质背景区土壤重金属化学形态分布情况,选择贵州省典型碳酸盐岩分布区,以第二次全国土壤普查图斑为采样单元,在农田中采集土壤表层样品309件,利用改进的Tessier七步顺序提取法,分析了As、Cd、Cu、Hg、Ni、Pb和Zn等7种重金属的水溶态(F1)、离子交换态(F2)、碳酸盐结合态(F3)、弱有机结合态(F4)、铁锰氧化物结合态(F5)、强有机结合态(F6)和残渣态(F7)这7种化学形态.结果发现,土壤中重金属As、Cu、Hg、Ni、Pb和Zn残渣态比例均超过50%,有效组分(F1~F3)比例均小于5%,潜在生物有效组分(F4~F6)比例低于45%,活性较低,生态风险不高.Cd的有效组分和潜在生物有效组分占比分别为55.49%和29.37%,远高于其他重金属,基于土壤重金属形态的生态风险远小于基于土壤总量的生态风险.逐步回归方程可以有效建立Cd、Cu和Pb生物有效组分与影响因素之间的关系.重金属全量和pH值是影响碳酸盐岩高地质背景区土壤重金属化学形态的重要因子,受研究区长期土法炼锌活动和碳酸盐岩风化成土过程中重金属元素倾向于在残渣态中富集的影响,土壤有机质(OM)和氧化物含量对土壤重金属化学形态影响相对较小.

关 键 词:土壤  重金属  化学形态  生态评价  影响因素  回归模型  高地质背景区
收稿时间:2023/5/31 0:00:00
修稿时间:2023/8/8 0:00:00

Chemical Speciation, Influencing Factors, and Regression Model of Heavy Metals in Farmland of Typical Carbonate Area with High Geological Background, Southwest China
TANG Rui-ling,XU Jin-li,LIU Bin,DU Xue-miao,GU Xue,YU Lin-song,BI Jing.Chemical Speciation, Influencing Factors, and Regression Model of Heavy Metals in Farmland of Typical Carbonate Area with High Geological Background, Southwest China[J].Chinese Journal of Environmental Science,2024,45(5):2995-3004.
Authors:TANG Rui-ling  XU Jin-li  LIU Bin  DU Xue-miao  GU Xue  YU Lin-song  BI Jing
Institution:Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang 065000, China;Shandong Institute of Geophysical and Geochemical Exploration, Jinan 250013, China; ShandongGeo-Surveying and Mapping Institute, Jinan 250014, China
Abstract:The speciation of heavy metals in soil is an important factor determining their bioavailability and toxicity, and it is crucial for the scientific assessment of ecological risks posed by heavy metals in soils of typical carbonate areas with high geological background in southwest China. In order to investigate the distribution of speciation of heavy metals in soils of carbonate rock with high geological background, we selected a typical carbonate rock distribution area in Guizhou Province and used the second national soil survey plots as sampling units. A total of 309 topsoil samples were collected from farmland. The improved Tessier seven-step sequential extraction method was used to analyze the seven chemical forms of heavy metals:water-soluble (F1); exchangeable (F2); carbonate-bound (F3); weakly organic-bound (F4); iron-manganese oxide-bound (F5); strongly organic-bound (F6); and residual (F7) forms of arsenic (As), cadmium (Cd), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn). The study found that the residual forms of heavy metals As, Cu, Hg, Ni, Pb, and Zn in the soil accounted for more than 50%, the effective components (F1-F3) accounted for less than 5%, and the potential biological effective components (F4-F6) were less than 45%, indicating low reactivity and low ecological risk. The effective and potentially bioavailable components of Cd accounted for 55.49% and 29.37%, respectively, which were much higher than those of other heavy metals. The ecological risk based on the speciation of heavy metals in the soil was much lower than that based on the total content of heavy metals. The stepwise regression equations could effectively establish the relationship between the bioavailable and potentially bioavailable fractions of Cd, Cu, and Pb and their influencing factors. Total heavy metal contents and pH value were important factors influencing the speciation of heavy metals in soils of carbonate rock with high geological background areas. The enrichment of heavy metal elements in the residual fraction was influenced by long-term zinc smelting activities and the weathering of carbonate rocks into soil. Soil organic matter (OM) and oxide content had a relatively small influence on the speciation of heavy metals in the soil.
Keywords:soil  heavy metals  chemical speciation  ecological assessment  controlling factors  regression model  high geological background areas
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