Buch, Englisch, 224 Seiten, Format (B × H): 228 mm x 150 mm, Gewicht: 378 g
Sustainable Mining Practices for Mitigating Environmental Impact
Buch, Englisch, 224 Seiten, Format (B × H): 228 mm x 150 mm, Gewicht: 378 g
ISBN: 978-0-443-45107-2
Verlag: Elsevier - Health Sciences Division
Acid Mine Drainage: Sustainable Mining Practices for Mitigating Environmental Impact provides an in-depth analysis of acid mine drainage (AMD) and its profound effects on ecosystems and communities surrounding mining operations. The book begins by explaining the nature of AMD, including its formation, environmental and socioeconomic impacts, and methods for predicting and monitoring its occurrence. It emphasizes the importance of effective sampling techniques and the use of predictive modeling tools to understand and manage AMD risks. The text explores both conventional and non-conventional mitigation strategies, detailing active and passive treatment methods, including innovative biotechnological approaches and ecosystem-based solutions. It also highlights case studies that showcase successful AMD management practices while addressing the challenges faced in high-impact regions. Finally, the book discusses future directions for sustainable mining practices, emphasizing the need for collaborative resilience and the adoption of innovative solutions to close existing gaps in AMD management.
This comprehensive overview serves as an essential resource for researchers and industry professionals committed to reducing the environmental impact of mining activities while promoting sustainable resource management.
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
- Geowissenschaften Geologie Hydrologie, Hydrogeologie
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
- Geowissenschaften Geologie Geologie
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor
Weitere Infos & Material
1. Introduction to AMD
2. Prediction of AMD
3. Conventional mitigation and management strategies
4. Non-conventional treatment methods
5. Sustainable Innovation: AI-based real-time AMD monitoring and prediction system
6. Policy, governance and community engagement




