Quantitative assessment of household waste composition and segregation pattern in urban settings of Ujjain, Madhya Pradesh: a pick analysis/waste composition analysis study

Introduction Effective management of municipal solid waste (MSW)is a persistent challenge in India, where rapid urbanization and limited infrastructure contribute to unscientific disposal practices. Household (HH) waste constitutes the largest share of MSW, yet reliable data on its generation and composition remain scarce. This study presents a baseline assessment conducted in Ujjain, Madhya Pradesh, as part of the I-MISS intervention on HH waste segregation. Methodology A cross-sectional survey was undertaken among 215 HHs across slum and non-slum areas. Waste was collected daily for seven consecutive days, sorted into 23 predefined fractions, and analyzed for per capita and per HH-level generation, composition, and mis-sorting. Results Findings reveal an average daily per capita generation of 141.0 g and 146.7 g,and per HH generation of 651.4 g. Organic waste formed the largest fraction (69.1%), followed by plastics, paper, and textiles. Nearly half (48.1%) of the dry waste stream was mis-sorted, mainly due to organic and sanitary fractions being placed incorrectly. Mis-sorting was more pronounced in slum HHs, particularly for sanitary and hazardous sharp waste. Statistical analysis highlighted that family size, house type, and socio-economic status (SES) significantly influenced waste generation patterns, with smaller HHs and middle-income groups producing more waste. Discussion The study underscores the urgent need to strengthen HH-level segregation through targeted behavioral interventions and improved infrastructure. Emphasizing composting, recycling, and the safe disposal of sanitary and hazardous waste can enhance resource recovery and reduce environmental risks. These findings provide crucial evidence to inform urban waste management policies and design locally appropriate, sustainable strategies for Indian cities.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainability
Published
2026-01-15
DOI
https://doi.org/10.3389/frsus.2025.1707300
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative assessment of household waste composition and segregation pattern in urban settings of Ujjain, Madhya Pradesh: a pick analysis/waste composition analysis study

Kamran Rousta, Madhanraj Kalyanasundaram, Kavya Krishnan, Vivek Parashar et al.
Frontiers in Sustainability
Municipal Solid Waste Management
article

Quantitative assessment of household waste composition and segregation pattern in urban settings of Ujjain, Madhya Pradesh: a pick analysis/waste composition analysis study

Kamran Rousta, Madhanraj Kalyanasundaram, Kavya Krishnan, Vivek Parashar, Surya Singh, Rachna Soni, Vishal Diwan, Ashish K. Pathak, Dharma Raj, Manju Purohit, Dr Yogesh Sabde, S. Atkins, Krushna Chandra Sahoo, Deepmala Vishwakarma, Cecilia Stålsby Lundborg
article en

Abstract

Introduction Effective management of municipal solid waste (MSW)is a persistent challenge in India, where rapid urbanization and limited infrastructure contribute to unscientific disposal practices. Household (HH) waste constitutes the largest share of MSW, yet reliable data on its generation and composition remain scarce. This study presents a baseline assessment conducted in Ujjain, Madhya Pradesh, as part of the I-MISS intervention on HH waste segregation. Methodology A cross-sectional survey was undertaken among 215 HHs across slum and non-slum areas. Waste was collected daily for seven consecutive days, sorted into 23 predefined fractions, and analyzed for per capita and per HH-level generation, composition, and mis-sorting. Results Findings reveal an average daily per capita generation of 141.0 g and 146.7 g,and per HH generation of 651.4 g. Organic waste formed the largest fraction (69.1%), followed by plastics, paper, and textiles. Nearly half (48.1%) of the dry waste stream was mis-sorted, mainly due to organic and sanitary fractions being placed incorrectly. Mis-sorting was more pronounced in slum HHs, particularly for sanitary and hazardous sharp waste. Statistical analysis highlighted that family size, house type, and socio-economic status (SES) significantly influenced waste generation patterns, with smaller HHs and middle-income groups producing more waste. Discussion The study underscores the urgent need to strengthen HH-level segregation through targeted behavioral interventions and improved infrastructure. Emphasizing composting, recycling, and the safe disposal of sanitary and hazardous waste can enhance resource recovery and reduce environmental risks. These findings provide crucial evidence to inform urban waste management policies and design locally appropriate, sustainable strategies for Indian cities.

Frontiers in SustainabilityVol. 6
Ministry of Health and Welfare (KR), European Observatory on Health Systems and Policies (BE), Karolinska Institutet (SE), Ruxmaniben Deepchand Gardi Medical College (IN), Kerala University of Health Sciences (IN), National Institute of Epidemiology (IN), National Center for Environmental Assessment (EPA) (US), National Institute of Public Health (LA), Tampere University (FI), Ministry of Health and Family Welfare (IN), Institute of Bioinformatics (IN), ICMR National Institute for Research in Environmental Health, Ministry of Health and Family Welfare (BD), University of Borås (SE), Academy of Scientific and Innovative Research (IN)
Indian Council of Medical Research, Svenska Forskningsrådet Formas, Vetenskapsrådet
Sustainable cities and communities
Openalex Percentile: Top 88%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.