Executive Summary : | Municipal solid Waste Management (MsWM) is a crucial process for handling waste from generation to disposal. With global production expected to reach 3.40 billion tonnes by 2050, India generates 0.55 billion tons of waste annually, accounting for 2.74% of global waste. Municipalities struggle with limited financial capability and technical know-how to manage this growing waste. Dimapur and Kohima, two significant districts in Nagaland, have no MsWM models that meet scientific and environmental requirements. The current system is inadequate and needs systematic upgrades. To address this issue, the project aims to create a waste management geospatial database using Geographical Information system (GIs), assess current waste management practices, and compare environmental impacts of other waste management alternatives using Life Cycle Assessment (LCA). This will help optimize collection and transportation processes, providing economic and environmental benefits through reduced travel time, distance, fuel consumption, and pollutant emissions. Different waste treatment scenarios will be studied using LCA methodology to investigate impact categories such as Global Warming, Human Toxicity, Eutrophication, and Ecotoxicity. The development and implementation of this model will significantly reduce waste management workload and provide a sustainable solution to the existing waste management situation. Accurate data-driven planning and policy-making can help select the most appropriate design and methods for solid waste management, allowing for more effective allocation of funds for its implementation. |