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Papers
61,005 resultsShowing papers similar to Enhanced Entropy-Fuzzy Integration Decision Support System for Risk Assessment and Management of Hydraulic Engineering
ClearA 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.
Environmental health risk assessment of urban water sources based on fuzzy set theory
A fuzzy set theory-based environmental health risk assessment framework was developed and applied to urban water sources, improving risk credibility by handling uncertainty and multiple pollution indicators simultaneously. The approach offers a more nuanced tool for water resource protection decision-making.
Identification and Prediction of Crop Waterlogging Risk Areas under the Impact of Climate Change
Researchers developed a crop waterlogging risk identification model to predict areas vulnerable to agricultural flooding under climate change scenarios, aiming to support disaster prevention planning in affected farming regions.
Maximum Entropy Method for Wind Farm Site Selection: Implications for River Basin Ecosystems Under Climate Change
Researchers employed the maximum entropy (MaxEnt) spatial modeling method to identify optimal wind farm sites in Turkey, incorporating climate change scenarios and finding that 89% of currently licensed wind energy projects will remain viable in the future while overall wind energy potential is projected to increase.
Approach to Implementing Health and Environmental Safety System in Construction Projects Using Fuzzy Logic
Researchers investigated the implementation of a Health and Safety Executive plan in civil construction projects using fuzzy logic, applying Work Breakdown Structure and time planning methods to evaluate and improve occupational health and environmental safety management systems on construction sites.
Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures’ Design in the Imminent Climate Change Era
Not relevant to microplastics — this is a marine engineering study developing a hybrid hydrodynamic Monte Carlo risk model for designing submarine pipelines under climate change uncertainty.
The Impact of Climate Change on the Failure of Water Supply Infrastructure: A Bibliometric Analysis of the Current State of Knowledge
Researchers conducted a bibliometric analysis of scientific literature on how climate change affects the reliability and failure rates of water supply infrastructure. The study identified key research trends, major contributing countries, and the interconnection between climate-related stressors and water system failures. Evidence indicates that rising temperatures, changing precipitation patterns, and extreme weather events are increasingly threatening the integrity of water distribution networks.
Towards 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.
Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information
Researchers developed a GIS-based decision-making model combining multiple criteria — including topography, vegetation, and soil type — to map flash flood risk zones in Golestan province, Iran, identifying 68 villages and roughly 83,595 residents at elevated risk. The framework provides local authorities with a practical tool for flood disaster planning and risk reduction.
Dam Sustainability’s Interdependency with Climate Change and Dam Failure Drivers
Researchers examined the interplay between dam failure drivers and climate change factors, analysing how variations in temperature and precipitation patterns affect dam sustainability and failure risk. The study found that changing climate conditions interact with structural, hydrological, and operational failure drivers in ways that require updated risk assessment frameworks for dam management.
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.
An Analytical Framework for Determining the Ecological Risks of Wastewater Discharges in River Networks Under Climate Change
Researchers developed an analytical framework to assess ecological risks from wastewater treatment plant discharges into river networks under climate change scenarios, finding that reduced river flows from climate change will amplify ecological risks from effluent contaminants including microplastics.
Machine Learning for Flood Resiliency—Current Status and Unexplored Directions
This systems review assessed machine learning applications across the flood management spectrum—reservoir inflow prediction (LSTM), levee failure detection (CNN), and low-impact development control (reinforcement learning). The paper is focused on flood resilience engineering and does not contain microplastics research.
The concept, approach, and future research of hydrological connectivity and its assessment at multiscales
Researchers reviewed the concept of hydrological connectivity — the water-mediated transfer of matter and energy across landscapes — examining how dam construction, land management, and climate factors alter it, and identifying numerical modeling and connectivity indices as the most useful tools for its assessment across spatial scales.
A Qualitative Approach to the Seismic Estimation of Wastewater Treatment Plants and Potential Impacts on the Hydrosphere
A qualitative method using expert questionnaires was developed to rapidly assess the seismic vulnerability of wastewater treatment plants, which are critical infrastructure that could release pollutants during earthquakes. The method identifies high-risk facilities that may require physical reinforcement. Protecting wastewater plants from seismic damage is important for preventing environmental contamination during disasters.
Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency
A multi-criteria analysis approach was applied to map potential flood areas in the Bedadung River watershed, Indonesia, integrating spatial data on topography, land use, and drainage to prioritize flood mitigation measures. The study provided a practical tool for flood-prone area identification to inform early warning systems and emergency response planning.
Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem
Researchers developed a lumped hydrological model for a previously uncharacterized andesitic volcanic hydrosystem on the flanks of Salak volcano in West Java, Indonesia, using electrical resistivity tomography, hydrochemistry, and isotopic analysis to distinguish aquifer types and probabilistically integrate field data for sustainable groundwater management.
Addressing water resource management challenges in the context of climate change and human influence
This study identifies and documents the key challenges facing water resource management due to the combined pressures of climate change and human activity. Researchers found that droughts, floods, sea-level rise, and pollution are threatening both water quality and public health on a global scale. The study emphasizes that more sustainable approaches to water governance and infrastructure are urgently needed to address the growing gap between water supply and demand.
Chance-constrained fuzzy optimization model for enhancing facultative ponds: A case study at Bantul wastewater treatment plant
Researchers proposed a chance-constrained fuzzy optimization model for wastewater treatment in facultative ponds, applying it to the Bantul domestic wastewater treatment plant in Indonesia to maximize treatment volume under uncertain biological oxygen demand conditions.
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.
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.
What Determines the Future Ecological Risks of Wastewater Discharges in River Networks: Load, Location or Climate Change?
Researchers developed a systematic framework for assessing future ecological risks from wastewater treatment plant (WWTP) effluents in river networks by combining plant size class as a proxy for pollutant load with stream order as a proxy for discharge location, applying it under climate change scenarios to show that streamflow reduction in receiving rivers will significantly worsen ecological risk even without increases in pollutant loads.
Assessment of Uncertainties in Ecological Risk Based on the Prediction of Land Use Change and Ecosystem Service Evolution
Using the PLUS land use change model, researchers simulated future land use scenarios in southern China and evaluated how projected changes would alter ecosystem services and associated ecological risk under uncertainty.
Evaluierung einer interdisziplinären Methodik zur hydrotoxikologischen Bewertung schadstoffbehafteter Sedimente nach Resuspensionsereignissen
This German study evaluated interdisciplinary methods for assessing the ecotoxicological risk of contaminated sediments when they are disturbed and resuspended into the water column during flood events. The research helps implement European Water Framework Directive requirements for assessing how sediment-bound pollutants affect water quality.