Permeable Interlocking Concrete Pavements: A Sustainable Solution for Urban and Industrial Water Management

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 829 - 829

Published: March 13, 2025

Anthropization has significantly altered the natural water cycle by increasing impermeable surfaces, reducing evapotranspiration, and limiting groundwater recharge. Permeable Interlocking Concrete Pavements (PICPs) have emerged as a permeable pavement, effectively runoff improving quality. This study investigates base depth for PICPs regarding strength permeability. examines hydraulic structural performance of urban industrial applications evaluating effects subgrade conditions, traffic loads, material properties. Using DesignPave PermPave software, optimal layer thickness is determined to prevent rutting while ensuring effective stormwater infiltration beneath 110 mm-thick concrete pavers placed on 30 bedding course. The required pavements ranges from 100 mm 395 mm, whereas pavements, it varies between 580 1760 depending permeability, volume, loading conditions. findings demonstrate that serve viable environmentally sustainable alternative conventional offering significant hydrological ecological benefits.

Language: Английский

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A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems

Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3286 - 3286

Published: Aug. 19, 2024

The swift advancement of communication and information technologies has transformed urban infrastructures into smart cities. Traditional assessment methods face challenges in capturing the complex interdependencies temporal dynamics inherent these systems, risking resilience. This study aims to enhance criticality geographic zones within cities by introducing a novel deep learning architecture. Utilizing Convolutional Neural Networks (CNNs) for spatial feature extraction Long Short-Term Memory (LSTM) networks dependency modeling, proposed framework processes inputs such as total electricity use, flooding levels, population, poverty rates, energy consumption. CNN component constructs hierarchical maps through successive convolution pooling operations, while LSTM captures sequence-based patterns. Fully connected layers integrate features generate final predictions. Implemented Python using TensorFlow Keras on an Intel Core i7 system with 32 GB RAM NVIDIA GTX 1080 Ti GPU, model demonstrated superior performance. It achieved mean absolute error 0.042, root square 0.067, R-squared value 0.935, outperforming existing methodologies real-time adaptability resource efficiency.

Language: Английский

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Impact of climatic factors and groundwater level on the hydrologic performance of pervious concrete pavements

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 251 - 269

Published: Jan. 1, 2025

Language: Английский

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Evaluating the Long-Term Performance and Economic Benefits of SUDS Using Continuous Simulation

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Language: Английский

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Evaluating the Utility of Selected Machine Learning Models for Predicting Stormwater Levels in Small Streams

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 783 - 783

Published: Jan. 16, 2024

The consequences of climate change include extreme weather events, such as heavy rainfall. As a result, many places around the world are experiencing an increase in flood risk. aim this research was to assess usefulness selected machine learning models, including artificial neural networks (ANNs) and eXtreme Gradient Boosting (XGBoost) v2.0.3., for predicting peak stormwater levels small stream. innovation results from combination specificity watersheds with techniques use SHapley Additive exPlanations (SHAP) analysis, which enabled identification key factors, rainfall depth meteorological data, significantly affect accuracy forecasts. analysis showed superiority ANN models (R2 = 0.803–0.980, RMSE 1.547–4.596) over XGBoost v2.0.3. 0.796–0.951, 2.304–4.872) terms forecasting effectiveness analyzed In addition, conducting SHAP allowed most crucial factors influencing forecast accuracy. parameters affecting predictions included depth, level, data air temperature dew point last day. Although study focused on specific stream, methodology can be adapted other watersheds. could contribute improving real-time warning systems, enabling local authorities emergency management agencies plan responses threats more accurately timelier manner. Additionally, these help protect infrastructure roads bridges by better potential implementation appropriate preventive measures. Finally, used inform communities about risk recommended precautions, thereby increasing awareness preparedness flash floods.

Language: Английский

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Capacity Assessment of a Combined Sewer Network under Different Weather Conditions: Using Nature-Based Solutions to Increase Resilience

Water, Journal Year: 2024, Volume and Issue: 16(19), P. 2862 - 2862

Published: Oct. 9, 2024

Severe weather conditions and urban intensification are key factors affecting the response of combined sewer systems, especially during storm events. In this regard, capacity assessment networks under impact rainfall events different return periods was focus work. The selected case study area a mixed-use catchment in city centre Thessaloniki, Greece. hydraulic performance examined network assessed using an InfoWorks ICM model. results indicated that mitigation strategies, such as application nature-based solutions (NBSs) or low-impact developments (LIDs) considered essential for controlling overflows. A multicriteria analysis conducted to select most appropriate NBSs/LIDs be located enhance system’s capacity. were used propose overflow scenario, based on installation green roofs, highly ranked solution performed. Incorporating proposed NBS/LID hydrologic-hydraulic model significantly increased studied network.

Language: Английский

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Psychological Trust Dynamics in Climate Change Adaptation Decision-Making Processes: A Literature Review

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 3984 - 3984

Published: May 10, 2024

There has been a growth in interest among academics and professionals psychological trust dynamics during climate change adaptation. This literature review aimed to examine the research concerning adaptation from different levels of analysis, encompassing phases considering importance decision-making. The method consisted systematically reviewing researches on this topic published scientific articles, by using appropriate relevant search keywords (e.g., trust, community, natural hazard, adaptation, decision-making) academic databases. A total 25 studies met inclusion criteria. All articles focused latter cycle, specifically implementation monitoring/evaluation, with limited attention devoted decision-making related earlier preparation, assessment risks, identification selection options. reviews also indicates that is adaptive actions adoption renewable energy technologies), low- high-impact mitigation behaviors acceptance paying taxes for mitigate change). Therefore, underscores significant role shaping individuals’ processes thereby yielding immediate direct implications systems. it essential actively promote culture within context

Language: Английский

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Modeling urban pollutant wash-off processes with ecological memory

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123786 - 123786

Published: Dec. 22, 2024

Language: Английский

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Design of Urban Indicators to Optimize the Implementation of Low-Impact Techniques in Semi-Arid Cities

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 294 - 294

Published: Dec. 31, 2024

The study area is a densely populated residential zone located in central Mexico, characterized by semi-arid climate and diverse land uses, including domestic, commercial, services. In the area, water demand assessed based on use requirements set national local regulations, an urban configuration pinpoints spaces suitable for rainwater harvesting self-consumption. This research proposes indicators urban, demographic, hydrological parameters to assess effectiveness of low-impact development (LID) techniques, such as rooftop harvesting, aimed at reducing scarcity vulnerable shortages city Global South. Additionally, design conditions are defined estimate potential volumes recoverable water. Indicators infiltrated water, available consumption, runoff sufficient established. framework enables strategies mitigate improve management area.

Language: Английский

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