Exploring Possibilities of Achieving Sustainability in Municipal Solid Waste Management a Case Study of Jaipur City Rajasthan

Abstract

Human civilization originated and flourished near riverbanks. During those times, people coexisted in harmony with nature, and things were relatively manageable. However, with the population increase, industrialization, urbanization, and economic advancement, Notable growth of (MSW) worldwide. The amount of MSW generated is measured in kilograms per capita on a daily basis. With the increase of industries and rural-to-urban migration, the urban population is expanding at a fast pace. This increase in population and urbanization has led to a corresponding rise in waste generated each year. The per capita generation of (MSW) has significantly grown, reflecting good lifestyles and statuses in urban centers. Disposal of these solid wastes has become a highly challenging issue as more land is required for their ultimate disposal. As the population becomes concentrated around industrial areas, the process of rapid urbanization presents numerous challenges for planning authorities. The government and local administrations have made efforts to provide basic amenities to this growing population, and they continue to strive to address these needs. From ancient times, humans have been producing waste, whether it be the remains of animals slaughtered for food or the wood cut for cart construction. As civilization advanced, the nature of waste generated became increasingly complex. By the late 19th century, the Industrial Revolution gave rise to a consumer-driven world. This period not only led to increasing pollution in the air but also resulted in non-biodegradable solid garbage, which further polluted the earth. newline newline The primary aim of this research is to investigate the possibilities of achieving sustainability in municipal solid waste management in Jaipur City, Rajasthan. To assess the status of Municipal Solid Waste Management (MSWM) in Jaipur, the study relied on the collection of relevant secondary data.