Artigo Revisado por pares

Thermal conductive heating coupled with in situ chemical oxidation for soil and groundwater remediation: A quantitative assessment for sustainability

2023; Elsevier BV; Volume: 423; Linguagem: Inglês

10.1016/j.jclepro.2023.138732

ISSN

1879-1786

Autores

Zongshuai Yang, Changlong Wei, Xin Song, Xin Liu, Zhiwen Tang, Peng Liu, Yunxiao Wei,

Tópico(s)

Environmental remediation with nanomaterials

Resumo

Thermal conductive heating (TCH), broadly applied to remove volatile and semi-volatile organic contaminants from subsurface, is often considered unsustainable due to its high carbon emissions, energy consumption and expensive costs. TCH coupled with in situ chemical oxidation (TCH-ISCO) has drawn much attention recently due to its ability to achieve cleanup goals of groundwater remediation in a timely manner as TCH does, but at much lower temperatures. However, there is a lack of quantitative assessment on the sustainability of TCH-ISCO based on field data. In this study, a quantitative life cycle assessment approach coupled with best management practices (LCA-BMPs) model was developed with data collected in the field to assess the sustainability of TCH-ISCO for chlorinated aliphatic hydrocarbons (CAHs) contaminated soil and groundwater remediation for the first time. The results revealed that the energy supply via electricity contributed to 68% and 93% of the adverse environmental impacts (e.g., global warming, mineral resource scarcity, and fine particulate matter formation), for TCH-ISCO and TCH, respectively. In addition, the carbon emissions and direct cost of TCH-ISCO were estimated to be 80% and 70% less than TCH, respectively. With regard to the social sustainability, TCH slightly outperformed TCH-ISCO. The overall sustainability scores of TCH-ISCO and TCH were 89.6 and 61.9, respectively, demonstrating that the sustainability performance of TCH-ISCO was significantly better than that of TCH. In view of the current demand for sustainable remediation technology, this study provides reliable data evaluation for the application of TCH-ISCO.

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