We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
20 resultsShowing papers similar to Study on the influence of industrial structure optimization on water environment and economy: A case study of Changzhou city
ClearEarly Warning and Joint Regulation of Water Quantity and Quality in the Daqing River Basin
Researchers developed a dynamic water quantity and quality simulation model for the Daqing River Basin in China, finding that reducing ammonia-nitrogen emissions by 38–85% and maintaining minimum base flows could bring the river's water quality up to standard under extreme flood scenarios.
Exploring the spatiotemporal effects of urban scale and urban vitality on S&D balance in the Yangtze River Delta, China from 2015 to 2025
Researchers analyzed how city growth and economic activity affect the balance between what ecosystems provide (like clean water and clean air) and what people demand in China's Yangtze River Delta, finding that larger urban areas strain this balance while targeted development strategies can help certain regions maintain healthier ecosystems.
The Research on the Influence of Population Agglomeration on Environmental Pollution under the Background of Industrial Upgrading
This study examines how population concentration in cities affects environmental pollution levels, particularly in the context of industrial upgrading in China. Population density and industrial activity are major drivers of plastic waste generation, which is closely linked to microplastic contamination of urban waterways.
Simulation of Water Quality in a River Network with Time-Varying Lateral Inflows and Pollutants
Researchers improved a mathematical model for non-point source pollutant transport in urban river networks by converting the lateral outflow term in the Saint-Venant equations from a constant to a time-varying flow process with linear increase and exponential decay. Applied to Maozhou River Basin, the improved model achieved NSE values of 0.805 and 0.851 for hydrodynamic and water quality simulation, respectively.
The Role of Land Use Transition on Industrial Pollution Reduction in the Context of Innovation-Driven: The Case of 30 Provinces in China
This study analyzed data from 30 Chinese provinces to examine how land use transitions associated with urbanization affect industrial pollution levels, finding that innovation-driven development strategies can decouple economic growth from pollution under certain land use conditions.
A systematic review of industrial wastewater management: Evaluating challenges and enablers
This systematic review of 66 studies on industrial wastewater management found that while treatment technologies are advancing, major challenges remain in regulation enforcement, cost-effectiveness, and integration of circular economy principles. The research highlights that inadequate industrial wastewater treatment is a significant source of environmental pollutants, including microplastics, entering waterways.
Watershed-Based Governance for Agricultural Non-Point Source Pollution: Empirical Insights from the Yangtze River Economic Belt
Researchers examined how China's 'Guiding Opinions on Strengthening Agricultural Non-Point Source Pollution Prevention and Control' affected pollutant emissions across the Yangtze River Economic Belt, using econometric analysis across three governance pathways. They found the policy significantly reduced emissions by curbing mulch film use and consolidating breeding farms, but had no measurable effect on rural domestic pollution due to pre-existing infrastructure investments.
Water quality's responses to water energy variability of the Yangtze River
Researchers used MIKE21 hydrodynamic-water quality models for the Yangtze River to study how river energy influences pollutant-carrying capacity and water quality. The models achieved average relative errors of 5.17-8.37%, quantifying how flow variability affects the distribution of water quality parameters.
Evolving environmental awareness and shifts in management priorities: a socioeconomic lens on the min river basin, China
Not relevant to microplastics — this paper uses socioeconomic analysis and machine learning to study shifting environmental management priorities in China's Min River basin, focusing on water quality and land use.
System Dynamics Modeling for Effective Strategies in Water Pollution Control: Insights and Applications
Researchers applied system dynamics modeling to simulate how different waste disposal scenarios affect water pollution, particularly from dumping waste into the sea. The approach uses feedback loops and cause-and-effect relationships to predict long-term environmental and health impacts. The study suggests that this modeling technique can help policymakers develop more effective strategies for managing marine waste and protecting water quality.
Interventions of river network structures on urban aquatic microplastic footprint from a connectivity perspective
Researchers analyzed microplastic distribution in a typical urban river network in Nanjing, China, using multiple detection methods and the Renkonen similarity index to assess how river infrastructure structures such as dams and sluices influence microplastic spatial variability and footprint from a connectivity perspective.
Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
Researchers used artificial neural network analysis to assess water quality and identify pollution causes in the Tuojiang River Basin in China, examining parameters including dissolved oxygen and ammonia-nitrogen to understand contamination patterns and risks in this waterway.
Study on financial cost evaluation of urban water environment management and pollution prevention and control
This paper is not about microplastics — it evaluates the financial cost-effectiveness of urban water environment governance in four Chinese cities, finding that treatment costs do not always translate to proportional environmental benefits.
Basin-Scale Pollution Loads Analyzed Based on Coupled Empirical Models and Numerical Models
This study used a combination of field measurements and computer models to quantify pollutant loads from different sources across a Chinese river basin. Better tools for tracking pollution sources at basin scale can support efforts to reduce microplastic and other contaminant inputs to waterways.
A continuation-dynamic constitution analysis approach based on digital stable marker tracing and study on simulation of ecological tidal water diversion
Researchers developed a digital water-tracing method to track how diverted river water mixes and moves through a local canal network in China, quantifying each water source's contribution over time to help engineers optimize water diversion projects that improve water quality in urban waterways.
Water environment response of urban water networks in the Pearl River Delta (China) under the influence of typhoon rain events
This study used artificial neural networks to model water quality parameters in the urban water network of China's Pearl River Delta region, examining how typhoon rain events affect pollutant concentrations. The research contributes to understanding how extreme weather events — which are increasing with climate change — flush pollutants including microplastics from urban environments into waterways.
Study of the characteristics of pollutants in rural domestic sewage and the optimal sewage treatment process: a Chengdu Plain case study
Analysis of wastewater characteristics from 16 villages on the Chengdu Plain, China found pollutant concentrations higher in winter than summer, and identified optimal treatment processes for each pollutant type, providing data for rural wastewater treatment planning.
Implications of the transition towards water-wise approaches in urban areas: Elucidating the risk from micropollutants release
Researchers modeled how transitioning Milan, Italy to more sustainable, circular water management — such as reconnecting historic canals and reusing treated wastewater for irrigation — would affect levels of persistent pollutants like PFAS and pyrene. They found that PFAS chemicals pose chronic environmental risks under all scenarios studied, requiring high removal efficiency to bring contamination to safe levels.
The Driving Effect of Marine Industry on Marine Pollution: An Empirical Study from China
Researchers empirically examined the relationship between major marine industries and marine pollution levels in China, using national seawater quality classification data from the Ministry of Ecology and Environment. They found that marine industry activity has a measurable driving effect on marine environmental degradation, with different industries contributing distinct pollution impacts.
Aquaculture industry under the blue transformation in Jiangsu, China: Structure evolution and spatial agglomeration
This study analyzed how the aquaculture industry in Jiangsu, China has evolved spatially and structurally as part of the country's push toward more sustainable ocean use. The findings map industry clusters and growth patterns, informing policy for sustainable coastal aquaculture development.