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Urbanization and population resources affect microplastic concentration in surface water of the River Ganga
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Researchers found that microplastic concentrations in River Ganga surface water were significantly higher near urbanized and densely populated areas, with fibers and fragments being the dominant types, indicating that urbanization and population density are key drivers of riverine microplastic pollution.
Microplastic (MP) pollution has received increasing attention as a serious threat to aquatic ecosystem. The River Ganga is one of the longest rivers in India and supports an enormous species diversity. The major Indian cities situated on its bank discharge untreated domestic and industrial waste in River Ganga and are largely responsible for generating MPs. Every day millions of people use the river recreationally, for bathing and for drinking water. This study is the first to elucidate the distribution of MPs according to their shape, size and type in River Ganga from the Rishikesh to Farakka in India. Surface water samples of the river were obtained at 22 locations of the riverbank. Microplastic particles were identified using binocular microscope and categorized by shape, size and type. MPs were found in all surface water samples along the River Ganga and highest concentrations of MPs were found within Kanpur city (average 206 ± 31.9 particles m−3). The average MPs concentration was 92.85± 50.69 (SD) particles m−3 (∼0.1 particle L−1) of surface water. In addition, MPs distribution was dominated by filament particle (polyester and nylon fibre). The MPs concentration was positively correlated with population density in the vicinity (r = 0.65; p<0.001) and sewage volume discharged (r = 0.5; p<0.01) in the river. The MPs in Ganga water may pose potential risk to the devotees through direct consumption of Ganga water on the occasions of ritualistic bathing. The present work adds new knowledge and understanding of MPs pollution in the Ganga River and the effects of highly urbanized cities on MPs pollution, which may be used as baseline data to evaluate precise mitigation.
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Microplastic in upper Himalayan Ganga river: Occurrence, seasonal dynamics and ecological risk
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Researchers quantified microplastics at 19 sites across the upper Himalayan Ganga River over six months, finding concentrations of 100–1,550 particles per liter in water and rising contamination levels downstream toward densely populated cities, with fibers, polyethylene, and post-monsoon conditions dominating the pollution profile.
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Researchers investigated sources and factors influencing microplastic concentrations in the Ganga River during monsoon season, finding that untreated residential and industrial waste from major Indian cities contributes significantly to contamination of one of the world's most biodiverse rivers.
Sources and Factors Influencing Microplastic Concentration during Monsoon Season in Ganga River, Bihar, India
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Researchers investigated sources and factors influencing microplastic concentrations in the Ganga River in Bihar, India during the monsoon season, examining how untreated residential and industrial waste discharge and traffic-related runoff affect plastic particle loads in one of the world's most biodiverse river systems. The study found elevated microplastic concentrations during monsoon flows, with urbanization and inadequate waste management identified as key drivers of microplastic inputs to the river.
Characteristics and spatial distribution of microplastics in the lower Ganga River water and sediment
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Researchers sampled microplastics in water and sediment at five cities along India's Ganga River, finding concentrations of 17–36 items/kg in sediment and 380–684 items/1000 m in water, with white film-shaped polyethylene particles as the dominant type.
Baseline Study on Microplastics in Indian Rivers under Different Anthropogenic Influences
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Researchers collected microplastic samples from Indian rivers under different levels of anthropogenic influence and found MPs in all sites, with concentrations correlating with population density and industrial activity, providing one of the first systematic field datasets for major Indian river systems.
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