Research Progress and Prospect of Ecological Effect and Risk Assessment of Site Combined Pollution
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摘要: 我国已初步形成基于人体健康风险的污染场地土壤风险评估制度和技术标准体系,但基于保护生态受体的土壤污染风险评估技术方法和标准体系尚未构建. 本文从我国重点行业场地土壤复合污染现状出发,综述了典型行业场地土壤特征污染物复合情形下的生态效应,分析了产生不同联合效应的机理. 对目前常用的生态风险评估方法进行了分类阐述,并评述了复合污染生态效应和风险表征的研究进展,以期为我国构建全面系统的土壤污染风险管控体系提供支撑. 我国冶炼、焦化等重点行业场地通常呈现重金属-重金属复合、重金属-多环芳烃复合等污染特征,当这类污染物共存时,可通过影响彼此的生物吸收转运、降解转化、生物毒性等,产生协同、加和、拮抗等联合效应. 目前常用的生态风险评估方法包括指数法、商值法、概率法等,指数法基于污染源、暴露途径和生物受体的不同指标构建综合评估指数量化污染物的相对风险,商值法基于污染物暴露量和毒性参考值等量化污染物的绝对风险,概率法通过污染物和毒性数据的概率密度函数和累积分布概率函数等获得考虑污染分布和毒性效应变异性的绝对风险,复合污染情形下,可通过浓度加和、效应加和以及二者相结合的多层次方法进行综合表征. 本文针对目前生态风险评估方法体系构建存在的重点难点问题,建议从合理构建多维度多要素综合风险指数、分区分类构建本土化生物有效性和毒性参数、基于复合污染毒性效应机理科学构建概率风险表征方法等方面开展深入研究,推动生态风险评估规范化和精准化.Abstract: A human health-based soil risk assessment system and technical standard for contaminated sites has initially formed in China, but there is no technical methods and standard system for soil pollution risk assessment based on the protection of ecological receptors. The current situation of soil combined pollution in key industries is firstly introduced, the ecological effects of combined pollution of characteristic pollutants are summarized, and the mechanisms of different combined effects are analyzed. The current commonly used ecological risk assessment methods are classified and expounded, and the research progress of ecological risk characterization of combined pollution is reviewed, in order to provide new ideas for building a comprehensive and systematic soil pollution risk management and control system. Pollution characteristics such as heavy metal-heavy metal combined pollution, heavy metal-polycyclic aromatic hydrocarbon combined pollution usually appear in key industries sites such as smelting and coking. When these pollutants coexist, they could form synergistic, additive, antagonistic and other combined effects by affecting each other's biological absorption, transport, degradation, transformation, and toxicity. The currently used ecological risk assessment methods include index method, quotient value method, and probability method, etc. The index method constructs a comprehensive assessment index based on different indicators such as pollution sources, exposure pathways and biological receptors to quantify the relative risks of pollutants. The quotient method quantifies the absolute risk of pollutants based on parameters such as pollutant exposure and toxicity reference values. The probability method obtains the absolute risk considering the variability of pollution distribution and toxic effects through the probability density function and cumulative distribution probability function of pollutant and toxicity data. In the case of combined pollution, concentration addition, independent action, and a combination of the two can be used for comprehensive characterization of risk. In view of the key and difficult problems in the construction of the ecological risk assessment method system, in-depth research on the rational construction of multi-dimensional and multi-element comprehensive risk index, the zoning and taxonomic construction of local bioavailability and toxicity parameters, and the scientific construction of a probabilistic risk characterization method based on the mechanism of toxic effect of combined pollution can be carried out to promote the standardization and precision of ecological risk assessment.
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Key words:
- key industries /
- soil /
- combined pollution /
- joint ecological effect /
- ecological risk assessment
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表 1 冶炼、焦化等重点行业土壤复合污染
Table 1. Soil combined pollution in key industries such as smelting and coking
行业类型 场地 汞 铅 锌 镉 铜 砷 镍 铬 锑 氰化物 二噁英 总石油烃 数据来源 冶炼行业 中国广西南丹县大厂镇矿区周边 537 102 341 文献[3] 中国江西乐安县某废弃钨冶炼厂 493 247 5 618 96 文献[4] 中国锡矿山锑矿区 460 42 138 16 525 文献[5] 中国广西某铅锌矿矿区周边 6 2 820 13 900 175 158 107 140 346 文献[6] 中国某有色金属加工厂 3 220 17 600 354 16 900 116 6 590 746 文献[7] 焦化行业 中国苏南某焦化场地 333 1 780 7 118 19 55 50 7 836 201 100 文献[8] 中国西南某焦化厂 4 241 326 24 7 0.002 71) 17 430 文献[9] 悉尼人工制气厂 671 489 230 379 文献[10] 行业类型 场地 苯 甲苯 二甲苯 BaP DBA BkF BbF BaA Nap Chr Inp 数据来源 冶炼行业 中国广西南丹县大厂镇矿区周边 1 1 200 385 0.55 0.55 55 5.5 5.5 25 490 5.5 文献[3] 中国江西乐安县某废弃钨冶炼厂 4 1 200 1 210 1.5 1.5 151 15 15 70 1 293 15 文献[4] 中国锡矿山锑矿区 文献[5] 中国广西某铅锌矿矿区周边 文献[6] 某有色金属加工厂 文献[7] 焦化行业 中国苏南某焦化场地 文献[8] 中国西南某焦化厂 66 15 67 168 167 75 144 11 文献[9] 悉尼人工制气厂 61 1 680 235 426 1 550 1 490 1 330 1 430 1 050 文献[10] 注:汞、铅、镉、铜、砷、镍、锑、氰化物、二噁英、总石油烃、苯、甲苯、二甲苯、BaP、DBA、BkF、BbF、BaA、Nap、Chr、Inp的一类限值分别为8、400、20、2 000、20、150、20、22、0.00001、826、1、1200、385、0.55、0.55、55、5.5、5.5、25、490、5.5 mg/kg,二类限值分别为38、800、65、18000、60、900、180、135、0.00004、4500、4、1200、1210、1.5、1.5、151、15、15、70、1293、15 mg/kg,主要依据为《土壤环境质量 建设用地土壤污染风险管控标准(试行)》(GB 36600—2018);锌的一类和二类评价标准分别为3 500和10 000 mg/kg,铬的一类和二类评价标准分别为250和2 500 mg/kg,主要依据为《场地土壤环境风险评价筛选值》(DB11/T 811—2011). 1)表示由于二噁英检出限和标准限值均较低,为确保单位一致,此处保留四位有效数字. 表 2 复合污染毒性效应和风险表征模型
Table 2. Toxic effects and risk characterization models of combined pollution
序号 模型名称 公式 参数说明 1 CA模型 $\begin{array}{c} {\mathrm{E}\mathrm{C}}_{x,\mathrm{m}\mathrm{i}\mathrm{x}}={\left(\displaystyle\sum\limits_{i=1}^{n}\dfrac{{p}_{i}}{{\mathrm{E}\mathrm{C}}_{x,i}}\right)}^{-1} \\ \displaystyle\sum\limits_{i=1}^{n}\dfrac{{{c_{i}}^{*}}}{{\mathrm{E}\mathrm{C}}_{x,i}}=1 \end{array}$ 式中,ECx,mix表示引起x%效应的混合物的效应浓度,ECx,i表示第i个污染物单独存在并引起与混合物相同效应(x%)时的浓度,pi表示第i种污染物在混合物中的相对质量比例. 对于致死效应数据,只需将ECx,i换成LCx,i(x%致死浓度)即可,ci*表示n种污染物组成的混合物中第i种污染物的浓度,该浓度可产生x%的效应 2 IA模型 $\begin{array}{c} E\left({c}_{\mathrm{m}\mathrm{i}\mathrm{x}}\right)=1-\displaystyle\prod\limits_{i=1}^{n}[1-E({c}_{i}\left)\right] \\ E\left({c}_{\mathrm{m}\mathrm{i}\mathrm{x}}\right)=\displaystyle\prod\limits_{i=1}^{n}E\left({c}_{i}\right) \end{array}$ 式中,cmix和E(cmix)分别表示混合物的总浓度和总效应,E(ci)表示第i个成分污染物的效应 3 CI模型 $\begin{array}{c} {\left(\mathrm{C}\mathrm{I}\right)}_{x}=\displaystyle\sum\limits_{i=1}^{n}\dfrac{ {\left(D\right)}_{i} }{({ {D}_{x})}_{i} }=\displaystyle\sum\limits_{i=1}^{n}\dfrac{ {\left({D}_{x}\right)}_{1-n}\left\{{ {\left[D\right]}_{i} }/{\displaystyle\sum\limits_{i=1}^{n}\left[D\right]_{i}}\right\} }{ {\left({D}_{m}\right)}_{i}{\left\{\dfrac{ {\left({f}_{\mathrm{a}\mathrm{x} }\right)}_{i} }{\left[1-{\left({f}_{\mathrm{a}\mathrm{x} }\right)}_{i}\right]}\right\} }^{1/mi} } \\ {\mathrm{E}\mathrm{C} }_{x,\mathrm{m}\mathrm{i}\mathrm{x} }={\left(\displaystyle\sum _{i=1}^{n}\dfrac{ {p}_{i} }{ {\mathrm{E}\mathrm{C} }_{x,i}\times {\mathrm{C}\mathrm{I} }_{x\mathrm{c}\mathrm{o}\mathrm{m}\mathrm{p} } }\right)}^{-1} \end{array}$ 式中,(CI)x表示混合物中导致x%致死率的混合物中n种污染物的浓度之和,(Dx)1−n表示混合物中导致x%死亡率的n种污染物的浓度之和,${ {\left[D\right]}_{i} }/{\displaystyle\sum\limits_{i=1}^{n}\left[D\right]_{i}}$表示导致x%死亡率的n种污染物中每一种的剂量比例,${\left({D}_{m}\right)}_{i}{\left\{{ {\left({f}_{\mathrm{a}\mathrm{x} }\right)}_{i} }/{\left[1-{\left({f}_{\mathrm{a}\mathrm{x} }\right)}_{i}\right]}\right\} }^{1/mi}$表示导致x%死亡率的每种污染物的浓度,CIxcomp表示从混合物的试验毒性曲线计算的混合物在x效应水平(x%)处的组合指数值 4 TU模型、TI模型 $ \begin{array}{c}{\mathrm{T}\mathrm{U}}_{i}=\dfrac{{C}_{i}}{{\mathrm{C}\mathrm{E}}_{xi}} \\ \mathrm{T}\mathrm{I}=\displaystyle\sum\limits _{i=1}^{n}{\mathrm{T}\mathrm{U} }_{i}\end{array}$ 式中,TUi表示污染物i的毒性单位,Ci表示混合物中污染物i的浓度,CExi表示导致x%效应的污染物i的浓度,TI表示混合物中毒性物质的加和效应毒性指数 5 风险相加模型 $ \mathrm{H}\mathrm{I}={\mathrm{H}\mathrm{Q}}_{\mathrm{A}}+{\mathrm{H}\mathrm{Q}}_{\mathrm{B}}+{\mathrm{H}\mathrm{Q}}_{\mathrm{C}} $ 式中,HQA、HQB和HQC分别为污染物A、B、C的风险 6 风险效应加和模型 $\mathrm{m}\mathrm{s}\mathrm{P}\mathrm{A}\mathrm{F}=1-\displaystyle\prod\limits_{i=1}^{n}(1-{\mathrm{P}\mathrm{A}\mathrm{F} }_{i})$ 式中,msPAF表示复合污染产生的潜在影响比例,PAFi表示污染物i产生的潜在影响比例 7 风险加权模型 ${R}_{\mathrm{t}\mathrm{o}\mathrm{t}\mathrm{a}\mathrm{l} }=\displaystyle\sum\limits_{i=1}^{n}{R}_{i}\times {W}_{i}$ 式中,Rtotal表示复合污染的风险,Ri表示污染物i的风险,Wi表示污染物i的权重 -
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