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Sci Rep. 2020 Jul 30;10(1):12845. doi: 10.1038/s41598-020-69815-0.
2
Assessment of heavy metal pollution from anthropogenic activities and remediation strategies: A review.人为活动导致的重金属污染评估及修复策略:综述。
J Environ Manage. 2019 Sep 15;246:101-118. doi: 10.1016/j.jenvman.2019.05.126. Epub 2019 Jun 5.
3
A critical assay of heavy metal pollution index for the groundwaters of Peenya Industrial Area, Bangalore, India.印度班加罗尔佩内亚工业区地下水重金属污染指数的临界评价。
Environ Monit Assess. 2019 Apr 18;191(5):289. doi: 10.1007/s10661-019-7453-9.
4
Policy choice and riverine water quality in developing countries: An integrated hydro-economic modelling approach.发展中国家的政策选择与河流水质:一种综合水经济建模方法。
J Environ Manage. 2018 Dec 1;227:44-54. doi: 10.1016/j.jenvman.2018.08.065. Epub 2018 Aug 29.
5
Biological approaches to tackle heavy metal pollution: A survey of literature.生物法应对重金属污染:文献综述。
J Environ Manage. 2018 Jul 1;217:56-70. doi: 10.1016/j.jenvman.2018.03.077. Epub 2018 Apr 5.
6
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Chemosphere. 2017 May;175:239-246. doi: 10.1016/j.chemosphere.2017.02.034. Epub 2017 Feb 7.
7
Source apportionment of trace metals in river sediments: A comparison of three methods.河流沉积物中痕量金属的来源解析:三种方法的比较。
Environ Pollut. 2016 Apr;211:28-37. doi: 10.1016/j.envpol.2015.12.037. Epub 2015 Dec 29.
8
Heavy metals in agricultural soils and crops and their health risks in Swat District, northern Pakistan.巴基斯坦北部斯瓦特地区农业土壤和作物中的重金属及其健康风险。
Food Chem Toxicol. 2013 Aug;58:449-58. doi: 10.1016/j.fct.2013.05.014. Epub 2013 May 28.
9
Opportunities for Reducing Total Maximum Daily Load (TMDL) compliance costs: lessons from the Chesapeake Bay.减少总最大日负荷 (TMDL) 合规成本的机会:切萨皮克湾的经验教训。
Environ Sci Technol. 2012 Sep 4;46(17):9256-65. doi: 10.1021/es300540k. Epub 2012 Aug 23.
10
Risk assessment and seasonal variations of dissolved trace elements and heavy metals in the Upper Han River, China.中国汉江上流域溶解微量元素和重金属的风险评估及季节性变化。
J Hazard Mater. 2010 Sep 15;181(1-3):1051-8. doi: 10.1016/j.jhazmat.2010.05.120.

多管齐下的方法用于城市河流中重金属的溯源和归因。

A multi-pronged approach to source attribution and apportionment of heavy metals in urban rivers.

机构信息

Centre for Environment and Development, Ashoka Trust for Research in Ecology and the Environment, Jakkur, Bengaluru, India.

出版信息

Ambio. 2022 Oct;51(10):2182-2200. doi: 10.1007/s13280-022-01734-y. Epub 2022 Jun 8.

DOI:10.1007/s13280-022-01734-y
PMID:35674878
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9378809/
Abstract

Heavy metal (HM) contamination of water bodies is caused by both first generation (industries) and second generation (distributed sources, domestic sewage, sediments) sources. We applied a multi-pronged approach to quantify the contribution of first and second generation sources to the HM load in a stream located in an industrialised catchment. We found that, despite strict regulation, first generation sources contributed significantly to the HM load (60%-80%), showing the ineffectiveness of current regulation. Domestic sewage contributed significantly to Cu, Ni, and Mn load (15%-20%). The contribution of distributed sources and sediments to HM load is insignificant. In a 24-hour cycle, HM concentrations frequently exceeded FAO's irrigation water quality standards, with the highest concentrations observed at night. Empirically, the study highlights the continued plight of urban streams in rapidly industrialising centers and the failure to regulate first-generation sources. Methodologically, it demonstrates the importance of temporally intensive measurement of contaminant concentration and load. Policy implications include the need for ambient water quality standards, inclusion of HMs in such standards, load-based regulation, and a problem-oriented monitoring and enforcement approach.

摘要

水体中的重金属(HM)污染是由第一代(工业)和第二代(分散源、生活污水、沉积物)源造成的。我们采用了多管齐下的方法来量化位于一个工业化流域中的溪流中第一代和第二代源对 HM 负荷的贡献。我们发现,尽管有严格的规定,但第一代源对 HM 负荷的贡献(60%-80%)仍然很大,这表明当前的规定是无效的。生活污水对 Cu、Ni 和 Mn 的负荷贡献(15%-20%)很大。分散源和沉积物对 HM 负荷的贡献并不显著。在 24 小时的周期内,HM 浓度经常超过粮农组织灌溉水质标准,夜间浓度最高。经验上,该研究突出了快速工业化中心城市溪流的持续困境以及未能对第一代源进行监管。从方法论上讲,它展示了对污染物浓度和负荷进行时间密集型测量的重要性。政策影响包括需要制定环境水质标准、将重金属纳入此类标准、基于负荷的监管,以及采用面向问题的监测和执法方法。