页岩气开发地块污染物的种群生态风险评估模型分析
Exploring Application of Population Ecological Risk Assessment Models for Contaminants in Shale Gas Development Plots
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摘要: 页岩气资源气藏结构相对复杂,生态环境相对脆弱,环境影响机理不清等一系列环境问题已成为制约我国页岩气开发的重要瓶颈,目前我国对页岩气开发地块的生态风险评估研究极少,远未能形成技术体系。由于个体之间、个体与环境之间存在相互作用,个体水平的生态风险评估往往无法全面地反映化学污染物质对生态环境的整体影响,因此开展种群层面的生态风险评估对提高其风险准确性具有重要作用。本文在通过聚类分析方法了解种群生态风险评估领域的热点和发展趋势的基础上,借助文献计量方法较系统地梳理了有关种群层面的生态风险评估模型的内容,对比分析并筛选可适用于我国典型页岩气开发区域特征污染物的种群生态风险评估模型并探讨了其在页岩气开发场景的可用性及不确定性,旨在为我国这类污染场地环境风险防控提供借鉴。Abstract: A series of environmental issues such as the relatively complex structure of gas reservoirs, the comparatively fragile ecological environment and the unclear environmental impact mechanisms have become significant bottlenecks, restricting the development of shale gas in China. At present, there are still very few studies on ecological risk assessment of shale gas development sites in China, and it is far from forming a technical system. Due to the interaction between individuals and between the environment and individuals, ecological risk assessment at the individual level often cannot fully reflect the overall impact of chemical pollutants on the ecological environment, and therefore, carrying out ecological risk assessment at the population level plays an important role in improving the accuracy of the assessment. In this paper, based on the hotspots and development trends in the field of population ecological risk assessment through cluster analysis, we systematically sort out the content of population-level ecological risk assessment models using bibliometric methods. The population ecological risk assessment models that are suitable for characteristic pollutants in typical shale gas development areas in China are compared and screened, and the availability and uncertainty of these models in shale gas development scenarios are discussed, aiming to provide references for the prevention and control of environmental risks in such contaminated sites in China.
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Dimitrov S D, Georgieva D G, Pavlov T S, et al. UVCB substances: Methodology for structural description and application to fate and hazard assessment [J]. Environmental Toxicology and Chemistry, 2015, 34(11): 2450-2462 牛皓, 罗霂, 贾瑜玲, 等. 我国页岩气开发环境管理的对策建议[J]. 环境影响评价, 2017, 39(3): 1-4 Niu H, Luo M, Jia Y L, et al. Suggestions on environmental management for shale gas exploitation in China [J]. Environmental Impact Assessment, 2017, 39(3): 1-4 (in Chinese)
仲继燕, 鲁群岷. 页岩气开采对环境的影响分析及对策建议[J]. 云南化工, 2022, 49(1): 111-113 Zhong J Y, Lu Q M. Impact analysis of shale gas production on environment and suggestions for countermeasures [J]. Yunnan Chemical Technology, 2022, 49(1): 111-113 (in Chinese)
刘宇峰, 刘迪仁, 彭成, 等. 中国页岩气勘探开发现状及关键技术进展[J]. 现代化工, 2022, 42(1): 16-20 Liu Y F, Liu D R, Peng C, et al. China’s development status of shale gas and progress in key technology research [J]. Modern Chemical Industry, 2022, 42(1): 16-20 (in Chinese)
毛小苓, 倪晋仁. 生态风险评价研究述评[J]. 北京大学学报(自然科学版), 2005, 41(4): 646-654 Mao X L, Ni J R. Recent progress of ecological risk assessment [J]. Acta Scicentiarum Naturalum Universitis Pekinesis, 2005, 41(4): 646-654 (in Chinese) U.S. Environmental Protection Agency (US EPA). Framework for ecological risk assessment. EPA/630/R-92/001 [S]. Washington DC: US EPA, 1992 Stark J D, Banks J E. A tale of two metrics: The EPA Risk Quotient Approach versus the delay in Population Growth Index for determination of pesticide risk to aquatic species [J]. Ecotoxicology, 2021, 30(9): 1922-1928 刘晨宇, 田爱民, 孙菲, 等. 生态风险评价方法与应用研究进展[J]. 科技管理研究, 2020, 40(2): 79-83 Liu C Y, Tian A M, Sun F, et al. Progress of ecological risk assessment methods and applications [J]. Science and Technology Management Research, 2020, 40(2): 79-83 (in Chinese)
廖伟, 刘娜, 冯承莲, 等. 种群水平生态风险评价方法概述及其在环境管理中的应用[J]. 生态毒理学报, 2020, 15(1): 2-16 Liao W, Liu N, Feng C L, et al. Overview of population-level ecological risk assessment and its application in environmental management [J]. Asian Journal of Ecotoxicology, 2020, 15(1): 2-16 (in Chinese)
中国生态环境部. 关于政协十二届全国委员会第五次会议第0149号(资源环境类006号)提案答复的函. (2017-06-30 ). http://www.mee.gov.cn/gkml/hbb/jytafw/201709/t20170927_422577.htm Ministry of Ecology and Environment. Letter of Response to Proposal No. 0149 (Resource and Environment No. 006) of the Fifth Session of the 12th National Committee of the Chinese People’s Political Consultative Conference. (2017-06-30). http://www.mee.gov.cn/gkml/hbb/jytafw/201709/t20170927_422577.htm
David V, Joachim S, Tebby C, et al. Modelling population dynamics in mesocosms using an individual-based model coupled to a bioenergetics model [J]. Ecological Modelling, 2019, 398: 55-66 中国生态环境部. 建设项目环境风险评价技术导则: HJ 169—2018 [S]. 北京: 中国环境出版集团, 2018 中国环境科学学会. 水环境化学污染物生态风险评估技术指南总纲: T/CSES 21—2021 [S]. 北京: 中国环境科学研究院, 2021 中国生态环境部, 国家市场监督管理总局. 土壤环境质量 建设用地土壤污染风险管控标准: GB 36600—2018 [S]. 北京: 中国环境出版集团, 2018 Forbes V E, Galic N, Schmolke A, et al. Assessing the risks of pesticides to threatened and endangered species using population modeling: A critical review and recommendations for future work [J]. Environmental Toxicology and Chemistry, 2016, 35(8): 1904-1913 谢锐莉, 许宜平, 张慧, 等. 种群生态风险评估方法研究进展[J]. 生态毒理学报, 2020, 15(5): 1-17 Xie R L, Xu Y P, Zhang H, et al. A review of population level ecological risk assessment methods [J]. Asian Journal of Ecotoxicology, 2020, 15(5): 1-17 (in Chinese)
Spromberg J A, John B M, Landis W G. Metapopulation dynamics: Indirect effects and multiple distinct outcomes in ecological risk assessment [J]. Environmental Toxicology and Chemistry, 1998, 17(8): 1640-1649 Amemiya T, Enomoto T, Rossberg A G, et al. Lake restoration in terms of ecological resilience: A numerical study of biomanipulations under bistable conditions [J]. Ecology and Society, 2005, 10(2): 65-77 林荣华, 姜辉, 王猛, 等. 物种敏感度分布(SSD)方法在农药环境风险评估中的应用[J]. 生态毒理学报, 2017, 12(4): 110-118 Lin R H, Jiang H, Wang M, et al. Application of species sensitivity distribution (SSD) to the environmental risk assessment of pesticides [J]. Asian Journal of Ecotoxicology, 2017, 12(4): 110-118 (in Chinese)
Chen W Y, Li W H, Ju Y R, et al. Life cycle toxicity assessment of earthworms exposed to cadmium-contaminated soils [J]. Ecotoxicology, 2017, 26(3): 360-369 冯剑丰, 高永飞, 朱景雪, 等. 毒代-毒效动力学模型及其在金属水生态风险评估中的应用研究进展[J]. 环境工程, 2019, 37(11): 10-18 , 124 Feng J F, Gao Y F, Zhu J X, et al. Application of toxicokinetic-toxicodynamic models in aquatic ecological risk assessment for metals [J]. Environmental Engineering, 2019, 37(11): 10-18, 124 (in Chinese)
Hoeks S, Huijbregts M A J, Douziech M, et al. Mean species abundance as a measure of ecotoxicological risk [J]. Environmental Toxicology and Chemistry, 2020, 39(11): 2304-2313 Şimşek A, Küçük K, Bakan G. Applying AQUATOX for the ecological risk assessment coastal of Black Sea at small industries around Samsun, Turkey [J]. International Journal of Environmental Science and Technology, 2019, 16(9): 5229-5236 Yeom J, Kim I, Kim M, et al. Coupling of the AQUATOX and EFDC models for ecological impact assessment of chemical spill scenarios in the Jeonju River, Korea [J]. Biology, 2020, 9(10): 340 La Peyre M L, Sable S E, Taylor C, et al. Effects of sample gear on estuarine nekton assemblage assessments and food web model simulations [J]. Ecological Indicators, 2021, 133: 108404 Chapra S C, Dolan D M, Dove A. Mass-balance modeling framework for simulating and managing long-term water quality for the lower Great Lakes [J]. Journal of Great Lakes Research, 2016, 42(6): 1166-1173 Schöl A, Kirchesch V, Bergfeld T, et al. Modelling the chlorophyll a content of the River Rhine—Interrelation between riverine algal production and population biomass of grazers, rotifers and the zebra mussel, Dreissena polymorpha [J]. International Review of Hydrobiology, 2002, 87: 295-317 陈锦灿, 方超, 郑榕辉, 等. 应用物种敏感性分布评估微(纳米)塑料对水生生物的生态风险[J]. 生态毒理学报, 2020, 15(1): 242-255 Chen J C, Fang C, Zheng R H, et al. Assessing ecological risks of micro(nano)plastics to aquatic organisms using species sensitivity distributions [J]. Asian Journal of Ecotoxicology, 2020, 15(1): 242-255 (in Chinese)
Zhao J S, Chen B Y. Species sensitivity distribution for chlorpyrifos to aquatic organisms: Model choice and sample size [J]. Ecotoxicology and Environmental Safety, 2016, 125: 161-169 中国生态环境部. 国家生态环境基准计算软件物种敏感度分布法(1.0版). (2022-03-04). https://www.mee.gov.cn/ywgz/fgbz/hjjzgl/mxrj/202203/t20220304_970658.shtml Ministry of Ecology and Environment Landis W G, Kaminski L A. Population-scale assessment endpoints in ecological risk assessment part Ⅱ: Selection of assessment endpoint attributes [J]. Integrated Environmental Assessment and Management, 2007, 3(3): 450-457 解习农, 郝芳, 陆永潮, 等. 南方复杂地区页岩气差异富集机理及其关键技术[J]. 地球科学, 2017, 42(7): 1045-1056 Xie X N, Hao F, Lu Y C, et al. Differential enrichment mechanism and key technology of shale gas in complex areas of South China [J]. Earth Science, 2017, 42(7): 1045-1056 (in Chinese)
Kiviat E. Risks to biodiversity from hydraulic fracturing for natural gas in the Marcellus and Utica shales [J]. Annals of the New York Academy of Sciences, 2013, 1286: 1-14 Spurgeon D, Wilkinson H, Civil W, et al. Worst-case ranking of organic chemicals detected in groundwaters and surface waters in England [J]. The Science of the Total Environment, 2022, 835: 155101 Jesus F, Pereira J L, Campos I, et al. A review on polycyclic aromatic hydrocarbons distribution in freshwater ecosystems and their toxicity to benthic fauna [J]. The Science of the Total Environment, 2022, 820: 153282 郑欣, 闫振广, 刘征涛, 等. 水生生物水质基准研究中轮虫、水螅、涡虫类受试生物的筛选[J]. 生态毒理学报, 2015, 10(1): 225-234 Zheng X, Yan Z G, Liu Z T, et al. Screening of native rotifers, Hydra, planaria for deriving aquatic life criteria [J]. Asian Journal of Ecotoxicology, 2015, 10(1): 225-234 (in Chinese)
张雯宇, 卢培利, 程勇, 等. 页岩气开采压裂液中非氧化型杀菌剂作用机理及潜在生态风险[J]. 环境污染与防治, 2021, 43(11): 1446-1451 , 1486 Zhang W Y, Lu P L, Cheng Y, et al. The mechanisms and potential ecological risks of non-oxidizing biocides in hydraulic fracturing of shale gas exploitation [J]. Environmental Pollution & Control, 2021, 43(11): 1446-1451, 1486 (in Chinese)
于劲磊, 向启贵, 蒋国斌, 等. 深、浅层页岩气区块油基岩屑污染特征研究[J]. 石油与天然气化工, 2021, 50(4): 124-129 , 134 Yu J L, Xiang Q G, Jiang G B, et al. Research on pollution characteristics of oil-base cuttings from deep and shallow shale gas development [J]. Chemical Engineering of Oil & Gas, 2021, 50(4): 124-129, 134 (in Chinese)
Bandeira F O, Alves P R L, Hennig T B, et al. Chronic effects of clothianidin to non-target soil invertebrates: Ecological risk assessment using the species sensitivity distribution (SSD) approach [J]. Journal of Hazardous Materials, 2021, 419: 126491 李勖之, 孙丽, 杜俊洋, 等. 农用地土壤重金属锌的生态安全阈值研究[J]. 环境科学学报, 2022, 42(7): 408-420 Li X Z, Sun L, Du J Y, et al. Soil ecological safety thresholds for zinc in agricultural land [J]. Acta Scientiae Circumstantiae, 2022, 42(7): 408-420 (in Chinese)
Thunnissen N W, Geurts K A G, Hoeks S, et al. The impact of imidacloprid and thiacloprid on the mean species abundance in aquatic ecosystems [J]. The Science of the Total Environment, 2022, 822: 153626 Suter G W, Traas T P, Posthuma L. Issues and Practices in the Derivation and Use of Species Sensitivity Distributions [M]// Posthuma L, Suter G W, Traas T P. Species Sensitivity Distributions in Ecotoxicology. Lewis Publishers, Inc., 2002: 437-474 Chelinho S, Domene X, Campana P, et al. Improving ecological risk assessment in the Mediterranean area: Selection of reference soils and evaluating the influence of soil properties on avoidance and reproduction of two oligochaete species [J]. Environmental Toxicology and Chemistry, 2011, 30(5): 1050-1058 Concawe. REACH-Analytical characterisation of petroleum UVCB substances [R]. Brussels: Concawe, 2012 Lyon D. Challenge 2: The hydrocarbon block method for PBT assessment of petroleum substances [R]. Brussels: Concawe, 2021
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