Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/19352
Title: Integrated water quality and microplastic pollution assessment in urban freshwater systems using statistical and geospatial approaches
Authors: Singh, Shiksha
Supervisors: Jain, Mayur Shirish
Keywords: Civil Engineering
Issue Date: 22-May-2026
Publisher: Department of Civil Engineering, IIT Indore
Series/Report no.: MT521;
Abstract: Rapid urbanization, increasing wastewater discharge, and land-use transformation have significantly degraded freshwater ecosystems, particularly urban rivers and wetlands that continuously receive untreated sewage, stormwater runoff, industrial effluents, and solid waste. In recent years, emerging contaminants such as microplastics have become an additional environmental concern because of their persistence, transport behavior, and ecological risks. The present study focuses on the integrated assessment of physicochemical pollution, heavy metals, microplastic contamination, and landscape-level influences in the Kahn River and Sirpur Wetland, Indore, India. The study was conducted through systematic field investigations, laboratory analyses, statistical evaluation, and geospatial assessment. Water samples were collected from multiple locations along the Kahn River and Sirpur Wetland to evaluate physicochemical parameters, nutrients, and heavy metals using standard APHA methods and instrumental techniques, including ICP-OES and AAS. Microplastics were extracted, quantified, and characterized using stereomicroscopy, FESEM, and ATR-FTIR analysis. In addition, Entropy Weighted Water Quality Index (EWQI), multivariate statistical analysis, and GIS-based Land Use Land Cover (LULC) assessment were performed to examine pollution behavior and the influence of surrounding landscape characteristics on water quality and microplastic distribution.
URI: https://dspace.iiti.ac.in/handle/123456789/19352
Type of Material: Thesis_M.Tech
Appears in Collections:Department of Civil Engineering_ETD

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