4.7 Article

Ecological and human health risk assessment of metals leached from end-of-life solar photovoltaics

期刊

ENVIRONMENTAL POLLUTION
卷 267, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2020.115393

关键词

Heavy metal leaching; Human health risk assessment; Ecological risk; End-of-life solar photovoltaic; Monte Carlo

资金

  1. Indian Institute of Technology (IIT Delhi), India
  2. University Grant Commission (UGC) [24004768, 3509/NET-JULY2016]

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Photovoltaic industry has shown tremendous growth among renewable energy sector. Though, this high installation rate will eventually result in generation of large volume of end-of-life photovoltaic waste with hazardous metals. In present study, reported leached metal contents from different photovoltaics in previous investigations were utilized for (i) potential fate and transport analysis to soil and groundwater and, (ii) estimating ecological and human health risks via dermal and ingestion pathways for child and adult sub-populations. The results indicate that the children are at highest risk, mainly due to lead (hazard quotient from 1.2 to 2.6). Metals, such as cadmium, lead, indium, molybdenum and tellurium pose maximum risks for child and adult sub-populations via soil-dermal pathway followed by soil ingestion pathway. This is further proved by calculated high values of contamination factor and geoaccumulation index for cadmium (102.4), indium (238.9) and molybdenum (16.12). The estimated soil contamination is significant with respect to aluminium, silver, cadmium, iron, lead, however, groundwater contamination was insignificant. Exposure to polluted soils yields an aggregate hazard index (for non-cancer effects) > 1 for all four pathways, with soil dermal pathway as the major contributor. Lead poses significant cancer risk for all scenarios (average risk: 0.0098 to 0.047 (soil) and 2.1 x 10(-5) to 3.5 x 10(-5) (groundwater)), whereas acceptable non-cancer risk was observed for other metals from groundwater exposure. Further, variance contribution and spearman correlation coefficient analysis show that metal concentration, exposure frequency and ingestion rate are the main contributors towards overall uncertainty in risk estimates. More detailed assessment for environmentally-sensitive metals should be carried out by considering other field breakage scenarios also, although the assessment suggests low risk for majority of metals examined. (c) 2020 Elsevier Ltd. All rights reserved.

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