Dynamic Mining Models Enhance Lithium Extraction Sustainability
The introduction of dynamic mining models utilizing the DPSIRM framework and Variable Weight theory aims to improve ecological risk assessment in lithium extraction. This advancement is crucial as global demand for lithium rises amidst the renewable energy transition, necessitating sustainable resource management practices.
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The research presents a dynamic assessment model for lithium extraction impacts in Huaqiao Township, covering 2010 to 2024. A multi-indicator system under the DPSIRM framework incorporates 17 variables to evaluate ecological risks, linking economic drivers like GDP to ecological states such as vegetation cover.
The Variable Weight method enhances sensitivity to rapid changes, identifying 15.63% of Shixiawo as 'Very Insecure' in 2015, while traditional methods overlooked high-risk zones. This adaptive framework allows mining operators to implement targeted governance strategies, improving land-use planning and balancing extraction with ecosystem protection. The findings advocate for real-time monitoring to mitigate environmental damage during lithium production.
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