Generation and prediction of regional building-related construction and demolition (C&D) waste for Meghalaya state, India: case study
摘要
The urbanization and exponential population growth have resulted in an unprecedented generation of construction and demolition (C&D) waste in India. While municipal solid waste (MSW) management strategies and the waste generation rates are extensively studied and incorporated into each state’s solid waste management guidelines, the impacts of C&D waste have recently received attention in smaller municipalities, due to exhaustion of landfill space. The prediction of C&D waste quantity can aid in formulating C&D waste disposal strategies and value-added material recovery for the sustainable development of cities. Thus, this paper presents a preliminary investigation for the estimation of C&D waste generated in three main urban hotspots in the state of Meghalaya, namely, Tura, Shillong and Jowai. The building permits of residential buildings collected from Meghalaya Urban Development Authority from the year 2013–2023 are used for the study. Through the estimation of C&D waste generation in the three hotspots, this study aims to demonstrate a methodology for estimating C&D waste generation utilizing the area-based waste generation rates (WGR) concept. The construction and demolition waste generation rates for Meghalaya are determined by referring to the standard average value of 50 kg/m2 [a baseline construction WGR as reported by TIFAC 2001] and a local average value of 1123.75 kg/m2 for demolition WGR has been chosen from a variety of literature research conducted in India [1065.515–1182 kg/m2]. With building-permit data collected in 2023, and the baseline construction and demolition WGRs, total C&D waste in the three urban hotspots of Meghalaya is found to be 130 tonnes per day (TPD) (~ 75.67 kg/capita/year). While Tura’s C&D waste generation has grown by 77.2% over the past ten years, Shillong and Jowai have had declines of 75.16% and 9.6%, respectively. These findings can serve as fundamental data support and a point of reference for government agencies, legislators, and researchers in formulating a C&D waste management strategy and its implementation in the region.
Graphical abstract