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Artificial intelligence based e-waste management for environmental planning
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.eiar.2020.106498 Jie Chen , Shoujun Huang , S. BalaMurugan , G.S. Tamizharasi
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.eiar.2020.106498 Jie Chen , Shoujun Huang , S. BalaMurugan , G.S. Tamizharasi
Abstract Electronic waste is one of the world's rapidly increasing environmental issues because a wide range of toxic substances are not closely monitored that can pollute the atmosphere and affect health. This paper proposes an Artificial Intelligence Technique (AIT) for the analysis of hazardous pollutants in e-waste and their effects on the climate and human health and management policies in certain countries. Artificial Intelligence Techniques (AIT) are being developed for managing e-waste, especially based on prevailing strategies such as Life Cycle Assessment (LCA), Multi-Criteria Analysis (MCA), and Extended Producer Responsibility (EPR). In the e-waste management sector, eco-design systems must be created, e-waste properly processed, recycled, and reused content through safe methods, e-waste disposed of using appropriate techniques, used electronic devices cannot be transferred to developing countries, and the burden of e-waste should be increased. Artificial intelligence-based MCA and EPR is a reasonable approach to address the increasing problems with e-wastes.
更新日期：2021-03-01
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