Abstract
Lithium, a lightweight metal, is used in various applications such as batteries, cell phones, ceramics, glass, and bipolar disorder medications. It's been brought to worldwide attention due to its high charge storage capacity in small places. However, concerns arise regarding the environmental and social impact of lithium extraction near mining communities. Issues include groundwater depletion, land destruction and community displacement. This study aims to develop a dynamic model using machine learning algorithms to measure the socioeconomic and environmental impact of lithium mining projects. The proposed dynamic model reveals that, if keeping demand and production as of today, lithium mining will become an irresponsible practice by 2040. Hence, it is crucial to implement policies like battery recycling, reforestation initiatives by mining entities, and potential production limitations to ensure a sustainable lithium industry.
Original language | English |
---|---|
Title of host publication | Proceedings of the International Conference on Industrial Engineering and Operations Management |
DOIs | |
Publication status | Published - 18 Jul 2023 |
Fingerprint
Dive into the research topics of 'Simulation of the Environmental and Socio-economic Impact from the Lithium Industry within Producing Countries'. Together they form a unique fingerprint.Prizes
-
Undergraduate Student Paper Competition
Morcillo Bastidas, Jose Daniel (Recipient), López, Carlos D. (Recipient) & Martínez, Constanza J. (Recipient), 20 Jul 2023
Prize
File