Research Article
The Management Standards of Hazardous and Toxic Waste in Mining According to Law Number 32 of 2009 and Its Implications on Health and Environmental Well-being
@INPROCEEDINGS{10.4108/eai.21-10-2023.2343517, author={Fulnarty Fulnarty}, title={The Management Standards of Hazardous and Toxic Waste in Mining According to Law Number 32 of 2009 and Its Implications on Health and Environmental Well-being}, proceedings={Proceedings of the International Conference on Environmental Law and Mining Law, ICTA II-MIL 2023, 21st October 2023, Pangkalpinang, Bangka Belitung, Indonesia}, publisher={EAI}, proceedings_a={ICTA II-MIL}, year={2024}, month={3}, keywords={hazardous waste living environment standart management}, doi={10.4108/eai.21-10-2023.2343517} }
- Fulnarty Fulnarty
Year: 2024
The Management Standards of Hazardous and Toxic Waste in Mining According to Law Number 32 of 2009 and Its Implications on Health and Environmental Well-being
ICTA II-MIL
EAI
DOI: 10.4108/eai.21-10-2023.2343517
Abstract
The annual increase in B3 mining waste, which includes hazardous materials, poses a growing environmental threat due to rising mining demands for both domestic and international markets. Failure to implement an effective waste management system could lead to severe environmental disasters. B3 mining waste results from mining operations and companies, exhibiting explosive, flammable, reactive, toxic, infectious, corrosive, and radioactive properties, causing pollution and health degradation. Environmental quality deterioration jeopardizes human and wildlife survival, necessitating stringent environmental protection and management measures, as outlined in Law No. 32 of 2009 on Environmental Protection and Management, further detailed in Presidential Regulation No. 22 of 2021. This paper employs a normative legal research approach using secondary data sources such as books, journals, and online media, along with primary legal sources like the UUD 1945 Constitution, laws, and presidential regulations, analyzing the data qualitatively