Prioritization of the ecotoxicological hazard of PAHs towards aquatic species spanning three trophic levels using 2D-QSTR, read-across and machine learning-driven modelling approaches

Journal of Hazardous Materials, Год журнала: 2024, Номер 465, С. 133410 - 133410

Опубликована: Янв. 2, 2024

Язык: Английский

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Climate models for predicting precipitation and temperature trends in cities: A systematic review

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106171 - 106171

Опубликована: Янв. 1, 2025

Язык: Английский

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Urban engineering insights: Spatiotemporal analysis of land surface temperature and land use in urban landscape

Alexandria Engineering Journal, Год журнала: 2024, Номер 92, С. 273 - 282

Опубликована: Март 7, 2024

In the field of urban environment engineering, understanding relationship between land surface temperature (LST) and use cover (LULC) is essential in rapidly growing climatically unstable landscapes such as Chengdu. It helps alleviate magnitude intensity Urban Heat Islands (UHIs). Toward this aim, summer winter Landsat images were acquired four years from 1992 to 2021 used extract LULC classes, LST three indices Normalized Difference Vegetation Index (NDVI), Built-up (NDBI), Modified Water (MNDWI) analyze their spatiotemporal associations. Results showed that built-up areas expanded approximately six times (820.82 Km2, 584.96%) 2021. Meanwhile, mean increased both seasons, by 9.94 °C 0.95 winter. The LST-NDBI correlation was significant positive studied (0.437< r <0.874, p=0.00) while a very high variability observed LST-NDVI (-0.835< <0.255, LST-MNDWI (-0.632< <0.628, coefficients. According results, NDBI can be good intra- inter-annual predictor Chengdu, especially context its fast-paced physical expansion increasing UHI.

Язык: Английский

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Finer-scale urban health risk assessment based on the interaction perspective of thermal radiation, human, activity, and space

Frontiers of Architectural Research, Год журнала: 2024, Номер 13(3), С. 682 - 697

Опубликована: Март 23, 2024

Urban heat stress profoundly affects the health of residents. However, current research primarily focuses on quantifying risk urban based LST, Ta, etc., overlooking crucial and intimate influence continuous intense solar radiation human thermal comfort health. Simultaneously, there is a lack smaller units to support more precise planning. This study utilized radiant intensity (RHSI) metric concentrating duration radiation, develop thermal-radiation induced (TIHR) assessment system. Leveraging technologies such as SOLWEIG model, Python, BERT, GIS enables calculations 12 spatial indices, including RHSI Weibo heat. facilitates accurate risks at smallest (blocks) directly guides The application this workflow in case Suoyuwan, Dalian, China, confirms its value, it can be used determine which blocks should prioritized for specific aspects prevention control. results show that some exhibited differences TIHR even within close proximity, with disaster-causing factors varying according locations. proposes novel framework interactive perspective radiation-human-activity-space.

Язык: Английский

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Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 35, С. 101265 - 101265

Опубликована: Июнь 2, 2024

Язык: Английский

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Machine learning-based assessment and simulation of land use modification effects on seasonal and annual land surface temperature variations

Heliyon, Год журнала: 2023, Номер 9(12), С. e23043 - e23043

Опубликована: Ноя. 29, 2023

Rapid urban sprawl adversely impacts the local climate and ecosystem components. Islamabad, one of South Asia's green environment-friendly capitals, has experienced major Land Use Cover (LULC) changes over past three decades consequently, elevating seasonal annual Surface Temperature (LST) in planned unplanned areas. The focus this study was to quantify fluctuations LULC LST areas using Landsat data Machine Learning algorithms involving Support Vector (SVM) 1990-2020 period. Moreover, hybrid Cellular Automata-Markov (CA-Markov) Artificial Neural Network (ANN) models were employed project future LST, respectively, for years 2035 2050. findings reveal a distinct difference Results showed an increase ∼22 % built-up area but vegetation bare soil decreased by ∼10 ∼12 %, respectively. Built-up land maximum mean followed bare-soil vegetative surfaces. Seasonal analysis that summer months experience highest spring, autumn winter. Future projections revealed (∼27 2020) are likely ∼37 ∼50 under class i.e., ≥28 °C ∼19 ∼21 planned, ∼38 ∼42 2050, Planned have better temperature control with spaces, controlled infrastructure. Capital Development Authority Islamabad may be advised expansion areas, grow forests, thus mitigate possible Urban Heat Island (UHI) effect.

Язык: Английский

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Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes

Journal of Grid Computing, Год журнала: 2024, Номер 22(2)

Опубликована: Апрель 17, 2024

Язык: Английский

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Nonlinear impacts of landscape and climatological interactions on urban thermal environment during a hot and rainy summer

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112551 - 112551

Опубликована: Авг. 31, 2024

Investigating the nonlinear impacts of urban landscape and climatic parameters on temperatures, a critical issue within climatology. Chengdu, characterized by its hot, rainy summers rapid development, serves as an ideal model to illustrate these dynamics. Our investigation utilizes advanced analytical methods such Random Forests (RF), SHapley additive explanation (SHAP), Partial Dependence Plots (PDP) analyze how factors influence air temperature (AT) land surface (LST). Significant findings reveal profound thermal heterogeneity across Chengdu's fabric, underscored spatially distinct phenomena where some regions exhibit strong contrasts in due varying factors. The study identifies relative humidity rainfall key drivers variations during summer months, reflecting specific idiosyncrasies. These insights are critical, they highlight planning green infrastructure can be strategically used mitigate adverse effects. research not only enhances understanding complex interplays microclimates but also offers new perspectives heat management. It contributes scientific community providing evidence-based strategies for planners counter island effect enhance resilience against climate change. This comprehensive analysis underscores importance incorporating multiple variables into models, lays groundwork more refined environmental policies practices.

Язык: Английский

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Multiscale impacts of urban nature on land surface temperature over two decades in a city with cloudy and foggy climates

Urban Climate, Год журнала: 2025, Номер 61, С. 102389 - 102389

Опубликована: Март 25, 2025

Язык: Английский

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A Systematic Review of Methodological Advances in Urban Heatwave Risk Assessment: Integrating Multi-Source Data and Hybrid Weighting Methods

Sustainability, Год журнала: 2025, Номер 17(8), С. 3747 - 3747

Опубликована: Апрель 21, 2025

As climate change intensifies, urban populations face growing threats from frequent and severe heatwaves, underscoring the urgent need for advanced risk assessment frameworks to inform adaptation strategies. This systematic review synthesizes methodological innovations in heatwave (2007–2024), analyzing 259 studies through bibliometric analysis (CiteSpace 6.4.R1) multi-criteria evaluation. We propose hazard–exposure–vulnerability–adaptability (HEVA) framework, an extension of Crichton’s triangle that integrates dynamic adaptability metrics supports high-resolution spatial assessment. Our reveals three key gaps: (1) Inconsistent indicator selection across studies; (2) limited microclimatic variations; (3) sparse integration IoT- or satellite-based monitoring. The study offers practical solutions enhancing accuracy, including refined weighting methodologies techniques. conclude by proposing a research agenda prioritizes interdisciplinary approaches—bridging planning, science, public health—while advocating policy tools address inequities heat exposure. These insights advance development more precise, actionable systems support climate-resilient development.

Язык: Английский

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