Distribution pattern and the risks of OPCs, PHAs and PCBs in aged refuses from landfill

Liu, Ziyang; Li, Anding; Tai, Jun; Yuan, Wen-Xiang; Zhu, Nanwen; Zhao, Youcai

doi:10.1016/j.wasman.2016.03.018

“…Pesticides such as dichlorodiphenyltrichloroethane (DDTs), and hexacholorohexane (HCHs) were included in the Stockholm convention's list of 12 internationally prohibited persistent organic pollutants (POPs). Despite the fact that these pesticides have been banned, their residue has frequently been detected in landfill leachate (Lou et al 2016;Wang et al 2020;Xu et al 2008). Due to their low water solubility, high fat solubility, and low vapor pressure these pesticides bioaccumulate and biomagnify in the ecosystem, making them even more hazardous to the environment and human health.…”

Section: Resultsmentioning

confidence: 99%

Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate

Kumar

¹

,

Alappat

²

,

Bisht

³

2022

Preprint

1

0

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The leachate pollution index (LPI), a technique to quantify the contamination potential of landfill leachate, was developed in 2003. Since then, numerous factors have challenged the relevance of LPI, including advancements in technology, the long-term reliability of these indicators, the incidence of emerging contaminants, and the LPI’s efficacy. As a result, using LPI as a benchmark can lead to misinterpretation of the magnitude of leachate Pollution. To mitigate this, a revised leachate pollution index (r-LPI) was developed, which is more precise and robust in assessing the Pollution potential of landfill leachate. This article presents a comprehensive account of the development of r-LPI. The r-LPI was developed by incorporating fuzzy technique with a multi-criteria decision-making technique (MCDM), wherein the inputs from 60 experts in the field of the environment, specifically solid waste management, were acquired at different stages during its development. The fuzzy Delphi method (FDM) was used to select the parameters. The fuzzy analytic hierarchy process (FAHP) was used to compute the relative weights of the parameters and sub-index curves were used for normalization of the parameters. As an application, the LPI and the r-LPI of the Bhalswa, Okhla, and Ghazipur landfills were calculated. The results indicate that r-LPI provides a more comprehensive prediction of leachate Pollution than the LPI.

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“…Landfill is the most common practice for MSW disposal in many countries. Pharmaceuticals disposed of in landfills may gradually enter landfill leachates and have long-term impacts on the surrounding environment and ecosystems via intentional or unintentional discharge of leachates. − In some areas where land is a limited resource, refuse in old landfills might be excavated (and the landfills can then be used for fresh MSW) and used as soil conditioners, carriers for wastewater biofilter reactors, etc . Pharmaceuticals in excavated landfill refuse, therefore, may cause unintentional environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Mass of Pharmaceuticals Harbored in Municipal Solid Waste Landfills by Analyzing Refuse Samples at Various Ages and Depths

Yu

¹

,

Zhao

²

,

Lyu

³

et al. 2023

Environ. Sci. Technol.

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Pharmaceuticals have been detected at high concentrations in municipal solid waste (MSW) landfill leachates, which are recognized as an underestimated source of pharmaceutical residues in the environment. However, limited efforts have been made to characterize pharmaceuticals in MSW landfill refuse, which is also of significant concern given the potential long-term environmental impact. Herein, we excavated landfill refuse from six cells with landfill ages of 7−27 years in the largest MSW landfill in Shanghai (in each cell, landfill refuse was collected from different depths of 2−8 m) and analyzed samples for the presence of 55 pharmaceuticals, including antibiotics and non-antibiotics. The results reveal the presence of 42 pharmaceuticals in landfill refuse, with median concentrations ranging from 0.30 to 116 μg/kg. Antibiotic and non-antibiotic pharmaceuticals exhibited diverse concentration trends with age, related to changes in policy intervention and consumption over time. Different concentration variations of individual pharmaceuticals were observed in refuse samples excavated at different depths and positively correlated to their sorption ability. The mass of pharmaceuticals in the investigated landfill was estimated from the obtained concentrations to be 80−220 tons with 95% probability, based on Monte Carlo analysis. To the best of our knowledge, this study provides the first estimate of pharmaceutical mass in an MSW landfill. The results will be helpful for understanding the potential long-term environmental impact of pharmaceuticals in landfills.

show abstract

“…Pesticides such as dichlorodiphenyltrichloroethane (DDTs), and hexacholorohexane (HCHs) were included in the Stockholm convention's list of 12 internationally prohibited persistent organic pollutants (POPs). Despite the fact that these pesticides have been banned, their residue has frequently been detected in land ll leachate(Lou et al 2016;Wang et al 2020;Xu et al 2008). Due to their low water solubility, high fat solubility, and low vapor pressure these pesticides bioaccumulate and biomagnify in the ecosystem, making them even more hazardous to the environment and human health.…”

mentioning

confidence: 99%

Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate

Bisht

¹

,

Kumar

²

,

Alappat

³

2022

Preprint

2

0

View full text Add to dashboard Cite

The leachate pollution index (LPI), a technique to quantify the contamination potential of landfill leachate, was developed in 2003. Since then, numerous factors have challenged the relevance of LPI, including advancements in technology, the long-term reliability of these indicators, the incidence of emerging contaminants, and the LPI’s efficacy. As a result, using LPI as a benchmark can lead to misinterpretation of the magnitude of leachate Pollution. To mitigate this, a revised leachate pollution index (r-LPI) was developed, which is more precise and robust in assessing the Pollution potential of landfill leachate. This article presents a comprehensive account of the development of r-LPI. The r-LPI was developed by incorporating fuzzy technique with a multi-criteria decision-making technique (MCDM), wherein the inputs from 60 experts in the field of the environment, specifically solid waste management, were acquired at different stages during its development. The fuzzy Delphi method (FDM) was used to select the parameters. The fuzzy analytic hierarchy process (FAHP) was used to compute the relative weights of the parameters and sub-index curves were used for normalization of the parameters. As an application, the LPI and the r-LPI of the Bhalswa, Okhla, and Ghazipur landfills were calculated. The results indicate that r-LPI provides a more comprehensive prediction of leachate Pollution than the LPI.

show abstract

Distribution pattern and the risks of OPCs, PHAs and PCBs in aged refuses from landfill

Cited by 13 publications

References 27 publications

Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate

Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate

Estimating the Mass of Pharmaceuticals Harbored in Municipal Solid Waste Landfills by Analyzing Refuse Samples at Various Ages and Depths

Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate

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