Sustainable drainage systems (SuDS) for rainwater harvesting and stormwater management in temporary humanitarian settlements

Nature-Based Solutions, Год журнала: 2025, Номер unknown, С. 100227 - 100227

Опубликована: Март 1, 2025

Язык: Английский

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A comprehensive review of moisture damage in asphalt mixtures: Mechanisms, evaluation methods, and mitigation strategies

Construction and Building Materials, Год журнала: 2025, Номер 471, С. 140740 - 140740

Опубликована: Март 11, 2025

Язык: Английский

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Hydration kinetics, mechanical, and photocatalytic self-cleaning performance of permeable concrete reinforced with nano-TiO2 hydrosol

Construction and Building Materials, Год журнала: 2025, Номер 472, С. 140830 - 140830

Опубликована: Март 21, 2025

Язык: Английский

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Recent developments in mitigating clogging in permeable pavements: a state-of-the-art review

Innovative Infrastructure Solutions, Год журнала: 2025, Номер 10(3)

Опубликована: Фев. 5, 2025

Язык: Английский

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Enhancing Urban Runoff Quality with Iron Slag-Modified Pervious Concrete: A Study on Mechanical Properties and Pollutant Removal Efficiency

Civil and Sustainable Urban Engineering, Год журнала: 2025, Номер 5(1), С. 1 - 14

Опубликована: Фев. 4, 2025

This study explores the improvement of performance pervious concrete (PC) for enhancing urban runoff quality by incorporating fine-grained iron slag in varying proportions, from 0% to 15% coarse aggregate weight. The research addresses pressing challenges stormwater management areas, where impervious surfaces contribute significantly increased and water pollution. To tackle these issues, aims optimize PC composition. Mechanical physical properties, including compressive strength, hydraulic conductivity, void content, were assessed. top-performing mixes further evaluated their ability improve using a rainfall simulator slabs measuring 650×450×100 mm. Initial findings showed positive relationship between higher content with gains up 13%. However, this came reduced porosity permeability as increased. Notably, sample demonstrated high pollutant removal efficiencies: 42.7% chemical oxygen demand (COD), 43.68% total suspended solids (TSS), 33.95% turbidity, due dual effects pore filling contaminant adsorption slag. No significant changes observed NaCl electrical conductivity (EC) levels. highlights potential optimizing enhance its role management, presenting promising approach improving settings.

Язык: Английский

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Leaky Dams as Nature-Based Solutions in Flood Management Part II: Mechanisms, Effectiveness, Environmental Impacts, Technical Challenges, and Emerging Trends

Hydrology, Год журнала: 2025, Номер 12(4), С. 91 - 91

Опубликована: Апрель 16, 2025

Leaky dams have become essential nature-based solutions for flood management, providing sustainable alternatives to traditional engineered control methods. This review delves into the mechanisms by which leaky operate, including regulation of water flow through velocity reduction and distribution across floodplains, effective sediment trapping soil quality enhancement, facilitation groundwater recharge table stabilization. These structures not only mitigate peak flows reduce erosion but also contribute enhanced biodiversity creating diverse aquatic habitats maintaining ecological connectivity. The effectiveness is assessed various performance metrics, demonstrating significant reductions in flows, improved increased levels, collectively enhance ecosystem resilience quality. However, implementation presents several technical challenges, such as design complexity, hydrological variability, maintenance requirements, socio-economic factors like land use conflicts economic viability. Additionally, while offer numerous environmental benefits, potential negative impacts include habitat disruption, accumulation, alterations quality, necessitate careful planning adaptive management strategies. Emerging trends dam development focus on integration smart technologies, real-time monitoring systems artificial intelligence, optimize against climate-induced extreme weather events. Advances modeling technologies are facilitating networks, promoting their incorporation comprehensive watershed frameworks. highlights integral components systems, advocating broader adoption alongside conventional engineering achieve resilient ecologically balanced management.

Язык: Английский

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A Hybrid Approach for Assessing Aquifer Health Using the SWAT Model, Tree-Based Classification, and Deep Learning Algorithms

Water, Год журнала: 2025, Номер 17(10), С. 1546 - 1546

Опубликована: Май 21, 2025

Aquifer health assessment is essential for sustainable groundwater management, particularly in semi-arid regions with challenging geological conditions. This study presents a novel methodology assessing aquifer the Barakar River Basin, hard-rock terrain, by integrating tree-based classification, deep learning, and Soil Water Assessment Tool (SWAT) model. Employing Random Forest, Decision Tree, Convolutional Neural Network (CNN) models, research examines 20 influential factors, including hydrological, water quality, socioeconomic variables, to classify into four categories: Good, Moderately Semi-Critical, Critical. The CNN model exhibited highest predictive accuracy, identifying 33% of basin as having good health, while Forest assessed 27% Critical heath. Pearson correlation analysis CNN-predicted indicates that recharge (r = 0.52), return flow 0.50), fluctuation 0.48) are most positive factors. Validation results showed performed strongly, precision 0.957, Area Under Curve–Receiver Operating Characteristic (AUC-ROC) 0.95, F1 score 0.828, underscoring its reliability robustness. Geophysical Electrical Resistivity Tomography (ERT) field surveys validated these classifications, high- low-aquifer zones. enhances understanding dynamics robust broader applicability management worldwide.

Язык: Английский

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Spatio-temporal evolution and driving forces of urban gravity centers and ecological security risk gravity centers in China

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113025 - 113025

Опубликована: Дек. 29, 2024

Язык: Английский

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