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Papers
20 resultsShowing papers similar to Environmental health risk assessment of urban water sources based on fuzzy set theory
ClearTowards Adaptive Water Quality Indexing: Integrating Fuzzy Logic for Improved Contaminant Detection and Treatment Planning
This study proposed integrating fuzzy logic into water quality index calculations to better handle the uncertainty and compounding effects of emerging contaminants such as pharmaceuticals, microplastics, and personal care products that conventional water quality indices were not designed to assess.
Enhanced Entropy-Fuzzy Integration Decision Support System for Risk Assessment and Management of Hydraulic Engineering
Researchers developed an Enhanced Entropy-Fuzzy Integration Decision Support System for risk assessment and management of hydraulic engineering projects in the context of climate change and increasingly complex water resource management. The system addresses limitations of traditional probability-based risk methods by incorporating fuzzy logic to handle ambiguous and uncertain risks.
Aquatic ecosystem indices, linking ecosystem health to human health risks
Researchers reviewed indicators used to assess aquatic ecosystem health and found that most existing tools don't adequately capture the risks that degraded water ecosystems pose to human health and well-being. They propose a new set of combined indicators — covering chemical contaminants, pathogens, and biological markers — to better link ecosystem health monitoring to human health outcomes.
Assessment of Sustainable Wastewater Treatment Technologies Using Interval-valued Intuitionistic Fuzzy Distance Measure-based Mairca Method
Researchers developed a decision-making framework for evaluating sustainable wastewater treatment technologies using fuzzy set theory and multi-criteria analysis. The method accounts for uncertainty in expert assessments while comparing technologies across economic, environmental, and social criteria. The study provides a systematic approach for selecting wastewater treatment solutions that can address emerging contaminants including microplastics.
Integrated assessment of the surface source of water supply according to environmental-risk indicators
Researchers assessed surface water quality and environmental health risks in the Dnipro Reservoir watershed using a four-stage risk assessment framework, identifying wastewater discharge, uncontrolled runoff, and bank erosion as major pollution sources. The study quantified health risks from multiple contaminants to support water supply management.
Water Quality Modelling, Monitoring, and Mitigation
This special issue review examines advances in water quality modelling, monitoring, and mitigation approaches, noting that while models and indices have become central tools for water resource management, site-specific limitations and high uncertainty in predictions remain key challenges for reliably assessing freshwater body health.
Water pollution from food production: lessons for optimistic and optimal solutions
Researchers proposed a multi-pollutant framework for assessing water pollution from food production, drawing lessons from how air quality science handles multiple contaminants simultaneously. The study argues that future water quality assessments should better integrate economic and social goals alongside environmental targets, using participatory approaches to develop practical and politically feasible solutions.
Urbanization and the Emerging Water Crisis: Identifying Water Scarcity and Environmental Risk with Multiple Applications in Urban Agglomerations in Western China
Researchers developed a comprehensive index system to evaluate water scarcity and environmental risk across three major urban regions in Western China. They found that rapid urbanization has significantly worsened water resource shortages and ecological vulnerability in these areas. The study provides a framework for understanding how urban growth intensifies water stress and suggests approaches for sustainable water resource management.
Threshchronic: Concept proposal of a fuzzy bayesian tool for health support
Researchers proposed a new software tool that uses fuzzy Bayesian logic to detect threshold levels in cause-and-effect relationships for chronic disease risk factors. The tool is designed to be tested first on well-understood radioactivity data and then applied to less-studied environmental exposures like microplastics. The study aims to help establish whether safe exposure limits exist for emerging environmental contaminants that may affect human health.
Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification
Researchers developed an urban water quality assessment method combining remote sensing reflectance optical classification with traditional water quality grading principles, enabling spatially and temporally continuous monitoring of urban water bodies.
Standardized Fuzzy Comprehensive Evaluation Biological Index Method for Ecosystem Health Evaluation in Large Waters of Aquaculture Type
Researchers developed a standardized fuzzy comprehensive evaluation biological index method for assessing ecosystem health in large aquaculture-type water bodies, providing a more nuanced tool for monitoring river and lake ecosystem conditions under increasing human environmental pressure.
A First Step towards Developing a Decision Support System Based on the Integration of Environmental Monitoring Activities for Regional Water Resource Protection
Researchers developed a decision support system integrating environmental monitoring data on diffuse pollutants - including nitrates, pesticides, metals, and plastics - to characterise the degradation state of water resources at the municipal level. The open-source system identifies areas sharing similar environmental characteristics and pollution pressure values, providing policymakers with tools for more accurate land management decisions.
A Fuzzy Ballast Water Risk Assessment Model in Maritime Transport
Researchers developed a fuzzy logic-based risk assessment model for evaluating the environmental hazards of ballast water discharge from maritime transport, including the spread of invasive species and pollutants. The model addresses the complex uncertainties that traditional assessment methods often fail to capture. The study suggests this approach can help port authorities and shipping companies better manage ballast water risks to marine ecosystems.
Deciphering geospatial variations in water quality of a perennial river for human consumption and agricultural application
Researchers analyzed geospatial variation in water quality along a perennial river to assess human health risks from drinking water exposure, identifying hotspots of contamination exceeding safety thresholds. The study provides a risk-based framework for prioritizing water treatment interventions.
Development of Ecosystem Health Assessment (EHA) and Application Method: A Review
This review traces the development of ecosystem health assessment methods, comparing biological indicator approaches and index system methods and analyzing how they have been applied to assess the health of aquatic, terrestrial, and urban ecosystems under anthropogenic stress.
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.
Urban stormwater capture for water supply: look out for persistent, mobile and toxic substances
Urban stormwater harvested for water supply was found to contain persistent, mobile, and toxic substances, raising concerns about water quality risks from this increasingly used alternative water source. The study calls for better characterization of stormwater contaminant profiles before use.
An Evidence Theory Approach to The Removal of Nano and Microplastic Pollution: Exploring Efficient Water Purification Methods
Researchers applied evidence theory, a mathematical framework for decision-making under uncertainty, to compare different methods for removing nano and microplastics from water. Their analysis identified reverse osmosis as the most effective treatment method, while nanofiltration ranked as the most practical choice due to lower energy requirements. The study provides a systematic framework for evaluating and optimizing water purification strategies for plastic pollution.
Development of “Threshold Microplastics Concentration” Concept and Framework in Drinking Water
This study proposed the concept of a threshold microplastic concentration below which adverse ecological effects are unlikely, aiming to provide a regulatory reference point for environmental risk management. The authors reviewed ecotoxicological data across taxa to derive effect thresholds and identify key uncertainties.
Managing Urban Water Resources: A Review of Challenges, Techniques, and Sustainability Strategies
Despite its title referencing urban water resource management, this paper is a broad review of water management challenges and tools — including hydrological modeling, remote sensing, and integrated governance strategies — rather than a study of microplastic pollution. It reviews planning frameworks and case studies related to water sustainability and does not examine microplastics or their health effects.