The evolving trends of landfill leachate treatment research over the past 45 years
Autor: | Mir Amir Mohammad Reshadi, Morteza Nazaripour, Gordon McKay, Sajad Soleymani Hasani, Alireza Bazargan |
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Rok vydání: | 2021 |
Předmět: |
geography
geography.geographical_feature_category Municipal solid waste Health Toxicology and Mutagenesis Membrane fouling Scopus Wetland General Medicine Treatment research Bibliometrics Solid Waste Pollution Refuse Disposal Water resources Waste Disposal Facilities Environmental protection Environmental Chemistry Environmental science Leachate Ecosystem Water Pollutants Chemical |
Zdroj: | Environmental Science and Pollution Research. 28:66556-66574 |
ISSN: | 1614-7499 0944-1344 |
DOI: | 10.1007/s11356-021-14274-x |
Popis: | Landfilling is one of the most prevalent waste management strategies on a global scale. However, one major drawback of landfills is the production of highly contaminated leachate which can harm ecosystems and pollute water resources which municipalities depend on. Various treatment options have been explored for treating leachate throughout the years. This paper aims to investigate landfill leachate treatment studies through bibliometric and visual analysis of articles collected from the Scopus database from 1975 to 2019. The results show that more than one thousand papers have been published in 159 journals. Nearly 3000 authors have published on the topic, most commonly from China, the USA, Malaysia, and Brazil. The keywords co-occurrence network led to the formation of 5 topical clusters, after which they were closely examined and titled "oxidation processes," "nitrogen removal processes," "constructed wetlands/coagulation," "adsorption," and "membrane-based processes" based on their contents. Finally, the overlay network was used to discern the hottest research trends. The results showed that advanced coagulation-based processes (such as peroxicoagulation) and studies focusing on improving membrane-based processes through reduction of membrane fouling are focal points which will be trending into the future. |
Databáze: | OpenAIRE |
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