4.7 Article

Exorbitant signatures of pesticides and pharmaceuticals in municipal solid wastes (MSWs): Novel insights through risk analysis, dissolution dynamics, and model-based source identification

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SCIENCE OF THE TOTAL ENVIRONMENT
卷 900, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.scitotenv.2023.165855

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MSW; Pesticides; Pharmaceuticals; Multivariate analyses; MFA and PMF modeling

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Studies on emerging organic micropollutants (EOMPs) in municipal solid wastes (MSWs) are limited. This study investigated the occurrence and fates of five widely consumed EOMPs in 20 Indian landfills. Results showed that the concentrations of pesticides and pharmaceuticals in MSWs varied significantly based on landfill locations. The study also found close interactions between EOMPs and biological and chemical properties of MSWs.
Studies on the occurrence and fates of emerging organic micropollutants (EOMPs) like pharmaceuticals and pesticides in MSWs are scarce in the literature. Therefore, MSWs were sampled from 20 Indian landfills and characterized for five widely consumed EOMPs (chlorpyrifos, cypermethrin, carbofuran, carbamazepine, and sodium diclofenac), physicochemical, and biological properties. The pesticide (median: 0.17-0.44 mg kg- 1) and pharmaceutical (median: 0.20-0.26 mg kg- 1) concentrations significantly fluctuated based on landfill localities. Eventually, principal component and multi-factor (MFA) models demonstrated close interactions of EOMPs with biological (microbial biomass and humification rates) and chemical (N, P, K, Ca, S, etc.) properties of MSWs. At the same time, the MFA resolved that EOMPs' fates in MSWs significantly differ from bigger cosmopolitan cities to smaller rural townships. Correspondingly, the concentration-driven ecological risks were high in 15 MSWs with EOMP-toxicity ranks of diclofenac > carbofuran = chlorpyrifos > cypermethrin > carbamazepine. The EOMPs' dissolution dynamics and source apportionments were evaluated using the positive matrix factorization (PMF) model for the first time on experimental data, extracting four anthropogenic sources (households, heterogeneous business centers, agricultural, and open drains). The most significant contribution of EOMPs to MSWs was due to heterogeneous business activity. Notably, the aging of soluble chemical fractions seems to influence the source characteristics of EOMPs strongly.

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