Noise pollution assessment and management in rare earth mining areas: a case study of Kollam, Kerala, India.

Noise pollution is an unintentional consequence of mining activities, needing rigorous assessment, monitoring, and mitigation techniques to reduce its impact on local residents and ecosystems. The study specifically examines the noise pollution from rare earth mining activities in the Neendakara-Kayamkulam (NK) coastal belt, Kollam, Kerala, India, a region rich in ilmenite, rutile, sillimanite, zircon, and monazite. Despite the known environmental and health impacts of noise pollution, there is limited specific data on its magnitude and sources in this region, as well as a lack of effective mitigation strategies tailored to rare earth mining operations. Studies have indicated that mining operations, such as the movement of heavy mineral sands, considerably elevate noise levels, which have an effect on the environment's quality and public health. This study seeks to fill the gap by geospatial mapping and assessing the noise levels and recommend measures to effectively mitigate noise pollution. Systematic noise measurements were conducted at 48 suitable locations within the NK coastal belt, including residential, commercial, industrial, coastal, and silence zones. The noise levels vary from 49.1 dB(A) near a religious place to 82.4 dB(A) near the local industry. The study employs geospatial noise mapping and land cover superimposition to implement class-specific mitigation measures for noise pollution in a coastal vicinity mixed land use area, including natural and vegetative barriers, operational scheduling, zoning, and land use planning.

Inventory and management of E-waste: a case study of Kerala, India.

The recent surge in electronic device usage has led to a notable rise in electronic waste (E-waste) generation, presenting significant environmental challenges. This study aims to quantify Kerala's E-waste inventory and formulate a comprehensive management plan. Utilizing sales data from 2017 to 2020 and estimating E-waste generation based on "average" or "end-of-life" durations of electrical and electronic equipment (EEE) items, the analysis forecasts substantial E-waste quantities. Key assumptions include correlating sales data with E-waste generation and utilizing guidelines for estimating E-waste quantities based on EEE item types and sales figures. The highest E-waste generation is predicted for the years 2028-2029, estimated at 97,541 tonnes, which is crucial for the state's management strategy. To address this challenge, the study proposes a comprehensive environmental management plan that integrates the principles of reduce, reuse, and recycle (3R) into its core strategies. The plan includes establishing 78 collection units across the state, strategically allocated based on the Taluk (a sub-division of a district) population, to ensure efficient E-waste collection and recovery of reusable items. Additionally, the study outlines the need for 273 recycling units statewide, with Malappuram district requiring the most units due to its high population density. The plan emphasizes efficient E-waste collection, segregation, and recycling, promoting responsible consumption and resource conservation. The study furnishes a "cradle-to-grave" framework for the management of E-waste at local, regional, and national levels, serving as a valuable resource for pollution control boards, regulatory bodies, statutory bodies, and research organizations alike.