Strata-based approach for determination of resource recovery potential from legacy waste dumpsite in India
Vivek Ojha1,2, Rahul Rautela1,2, Ved Prakash Ranjan1
1CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, MH, India.
Abstract:
The growing interest in recovering resources from old dumpsites has greatly accelerated the adoption of landfill mining (LFM) in recent years. This study focuses on assessing the quality of materials recovered from diverse legacy waste dumpsites using a strata-based approach. The method involved waste characterization, elemental analysis, physico-chemical characterization, heavy metals analysis and correlation analysis to assess the potential of solid waste samples collected from all three layers. Results revealed intriguing patterns in waste composition, with an increase in soil like fractions with depth and percentage of single-use plastic was almost same in all layers. Elemental analysis revealed variations in nitrogen, carbon, hydrogen and sulphur content across different layers, showcasing the heterogeneity of legacy. There was a small variation in the percentage of carbon in the first two layers, indicating high potential for use as fuel in the form of refuse-derived fuels. Significant changes were observed in layer 3, indicating it is best suited for landfill gas collection. Similar trends were observed for other elements. The presence of nitrogen-rich content indicates the potential for ammonia production, whereas hydrogen-rich materials suggest the possibility of generating hydrogen gas. Sulphur-rich waste holds promise for contributing to sulphur dioxide production. Correlation analysis was performed to maximize resource recovery while minimizing environmental risks.
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Aggregates Classification
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Microbial Bioremediation of Uranium


