We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
61,005 resultsShowing papers similar to Evolving environmental awareness and shifts in management priorities: a socioeconomic lens on the min river basin, China
ClearApplication of Machine learning techniques in environmental governance: A review
This paper is not relevant to microplastics research — it reviews the application of machine learning methods in environmental governance broadly, covering air and water quality monitoring and land use management.
Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area
Researchers used two decades of satellite data to track land use changes and ecological risks in China's Jiangsu Province, focusing on shifts between agricultural, urban, and wetland areas. Land use changes alter how plastic waste and microplastics are transported and deposited in freshwater ecosystems.
Distribution, Sources, and Ecological Risk Assessment of Microplastics in the Lower Minjiang River
Researchers characterized microplastic abundance, morphology, and polymer composition in surface water and sediments from the lower Minjiang River in China, then used pollution load indices and ecological risk assessments alongside socioeconomic data to identify likely pollution sources and ecological impacts.
A Comprehensive Method for Water Environment Assessment considering Trends of Water Quality
Researchers developed a comprehensive water quality assessment method that accounts for both current pollution levels and trends over time, applying it to rivers feeding a major Chinese reservoir. Water quality assessment frameworks are increasingly being adapted to include microplastic contamination as a standard monitoring parameter.
Microplastic pollution in sophisticated urban river systems: Combined influence of land-use types and physicochemical characteristics
This study assessed microplastic pollution across an urban river network in China, finding that land-use type and water physicochemical properties jointly influence microplastic distribution, with industrial and residential areas contributing highest loads.
Are we underestimating the driving factors and potential risks of freshwater microplastics from in situ and in silico perspective?
Researchers combined field sampling with machine learning predictions to assess microplastic contamination in rivers of China's Yangtze River Delta, incorporating land use, hydrology, and particle properties. The study found that conventional assessments may underestimate risk by overlooking smaller particle sizes and high-density polymers, and that textile manufacturing effluents are a major underrecognized source.
The effects of land use types on microplastics in river water: A case study on the mainstream of the Wei River, China
Researchers studied how different land use types along China's Wei River, a major tributary of the Yellow River, influence microplastic concentrations in the water. The study found that urban and agricultural areas contributed more microplastics than other land use types, with seasonal variations also playing a role, highlighting how human activities directly shape plastic pollution patterns in river systems.
Microplastics in inland freshwater environments with different regional functions: A case study on the Chengdu Plain
Researchers surveyed microplastic pollution in the Minjiang River as it flows through the Chengdu Plain in China, examining abundance, composition, shape, and size in both water and sediments. The study found serious microplastic contamination in urban sections of the river, with differences linked to regional functions such as industrial, agricultural, and residential land use patterns.
Exploring action-law of microplastic abundance variation in river waters at coastal regions of China based on machine learning prediction
Researchers used machine learning to predict microplastic levels in rivers across seven coastal regions of China, identifying population density, urbanization, and industrial activity as the strongest predictors of contamination. The models successfully captured how microplastics accumulate and move through river systems using 19 different environmental and human factors. This approach could reduce the need for costly field sampling while helping target pollution management efforts where they are needed most.
Microplastics in China’s surface water systems: Distribution, driving forces and ecological risk
Researchers compiled over 14,000 samples from across China to map microplastic pollution in surface water systems using machine learning models. They found that microplastic abundance varied enormously across regions, driven by a complex mix of human activities and natural conditions. The ecological risk assessment revealed that watersheds in nearly all Chinese provinces face high to extremely high contamination levels, underscoring the urgency of nationwide management efforts.
Spatiotemporal variations and the ecological risks of microplastics in the watersheds of China: Implying the impacts of the COVID-19 pandemic
A data mining and multivariate statistical analysis of 8,898 microplastic samples from 23 Chinese watersheds examined how the COVID-19 pandemic affected microplastic pollution levels and patterns in China, the world's largest microplastic emitter. The study found measurable shifts in microplastic abundance and composition linked to pandemic-era changes in production and waste management.
Identifying the characteristics of and factors driving spatiotemporal water quality variations in the Yellow River Basin, China, from 2008 to 2020
This study analyzed water quality data from the Yellow River Basin in China from 2008 to 2020, identifying pollution sources and spatial trends across the watershed. While focused on general water quality rather than microplastics specifically, such assessments provide important context for understanding pollution dynamics in large river systems.
Progressing Towards Environmental Health Targets in China: A Systematic Review of Achievements in Air and Water Pollution under the “Ecological Civilization and the Beautiful China” Dream
This systematic review summarizes China's progress in reducing air and water pollution under its environmental health initiatives. The findings are relevant to microplastic concerns because China is a major producer and consumer of plastics, and the review highlights how industrial pollution, including plastic waste, creates widespread environmental contamination with direct consequences for public health.
Machine learning models for forecasting microplastic dynamics in China’s coastal waters
Researchers used machine learning to analyze microplastic pollution patterns across China's four major coastal seas, drawing on over 1,100 data points from peer-reviewed studies. They found that urban centers and industrial activities are key drivers of contamination, with pollution levels varying significantly between marine, coastal, and estuary environments. The models project that economic development and education could reduce microplastic concentrations, while industrial expansion may increase them.
Coupled effects of urbanization level and dam on microplastics in surface waters in a coastal watershed of Southeast China
Researchers analyzed the distribution of microplastics across 17 sampling sites in the Minjiang River Watershed in southeast China, finding that microplastic concentrations were positively correlated with urbanization indicators and that dams influenced spatial distribution patterns.
Distribution and characteristics of microplastics in an urban river: The response to urban waste management
Microplastics were detected throughout surface water and sediments of an urban Chinese river (Nanming River) in both dry and wet seasons, with 25 different polymer types identified and the highest concentrations near sewage discharge points and plastic waste dump sites. The study shows that urban river management practices — particularly wastewater handling — are critical in controlling how much plastic reaches downstream ecosystems.
Relationships between microplastic pollution and land use in the Chongqing section of the Yangtze River
Researchers analyzed the relationship between land use patterns and microplastic pollution across 26 monitoring sites in the Yangtze River's Chongqing section. They found that microplastic concentrations were highest in urban areas and declined downstream, and that pollution levels dropped approximately 7.5-fold between 2016 and 2020, likely due to improved waste management. The study suggests that the amount of surrounding urban and garden land strongly predicts river microplastic levels, highlighting the connection between city planning and water quality.
Microplastic pollution in the Yangtze River: Characterization, influencing factors, and scenario-based predictions using machine learning method
Microplastic pollution in the Yangtze River was characterized across multiple sampling sites, documenting spatial patterns in particle abundance, polymer types, and size distributions. As one of the world's largest rivers, the Yangtze's microplastic burden has major implications for plastic delivery to the Pacific Ocean.
Exploring the Differences and InfluencingFactors of Public Participation in EnvironmentalProtection Behavior in the Private and PublicSpheres in China
Not relevant to microplastics — this sociological study analyzes factors influencing Chinese citizens' environmental protection behaviors in public and private spheres, using 2013 national survey data.
机器学习在新污染物环境风险识别与防控上的研究进展与挑战
This Chinese review examines advances and challenges in applying machine learning to identify environmental risks from emerging contaminants, covering how AI-driven models can accelerate hazard screening, source tracing, and pollution control for novel pollutants including microplastics.
Microplastic pollution in an urbanized river affected by water diversion: Combining with active biomonitoring
This study investigated microplastics in an urbanized river subject to water diversion in China, combining passive and active biomonitoring with water and sediment sampling to show that water management practices affect microplastic distribution patterns.
Microplastic pollution in the Yangtze River Basin: Heterogeneity of abundances and characteristics in different environments
Researchers compiled microplastic data from 624 sampling sites across the Yangtze River Basin covering water, sediment, soil, and biota, revealing heterogeneous contamination patterns driven by local land use, population density, and wastewater infrastructure.
Microplastic Transport and Accumulation in Rural Waterbodies: Insights from a Small Catchment in East China
Microplastics were sampled from drainage ditch sediments across forest, agricultural, horticultural, and urban areas in a Nanjing catchment, finding 922 MP particles of six dominant polymer types with concentrations varying by land use and pond connectivity within the catchment.
Spatial analysis of the influence on “microplastic communities” in the water at a medium scale
Spatial analysis of microplastic communities in Hubei Province, China found that microplastics were more abundant in rivers than lakes (average 1.74 items/L), negatively correlated with distance from residential areas, and that anthropogenic land cover increased abundance while natural vegetation decreased it.