Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data

Chemosphere, Год журнала: 2023, Номер 340, С. 139886 - 139886

Опубликована: Авг. 21, 2023

Язык: Английский

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Multi-view Stacked CNN-BiLSTM (MvS CNN-BiLSTM) for urban PM2.5 concentration prediction of India’s polluted cities

Journal of Cleaner Production, Год журнала: 2024, Номер 444, С. 141259 - 141259

Опубликована: Фев. 14, 2024

Язык: Английский

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Forecasting of fine particulate matter based on LSTM and optimization algorithm

Journal of Cleaner Production, Год журнала: 2023, Номер 427, С. 139233 - 139233

Опубликована: Окт. 10, 2023

Язык: Английский

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Hourly PM2.5 concentration prediction for dry bulk port clusters considering spatiotemporal correlation: A novel deep learning blending ensemble model

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122703 - 122703

Опубликована: Окт. 1, 2024

Язык: Английский

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Air quality and ventilation: exploring solutions for healthy and sustainable urban environments in times of climate change

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103157 - 103157

Опубликована: Окт. 1, 2024

Язык: Английский

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Environmental Justice in the 15-Minute City: Assessing Air Pollution Exposure Inequalities Through Machine Learning and Spatial Network Analysis

Smart Cities, Год журнала: 2025, Номер 8(2), С. 53 - 53

Опубликована: Март 18, 2025

The intersection of environmental justice and urban accessibility presents a critical challenge in sustainable city planning. While the “15-minute city” concept has emerged as prominent framework for promoting walkable neighborhoods, its implications exposure inequalities remain underexplored. This study introduces an innovative methodology assessing air pollution disparities within context 15-minute activity zones New York City. By integrating street-level PM2.5 predictions with spatial network analysis, this research evaluates patterns that more accurately reflect residents’ daily mobility experiences. results reveal significant socioeconomic racial exposure, lower-income areas Black communities experiencing consistently higher levels their walking ranges. A borough-level analysis further underscores influence localized development demographic distributions on outcomes. comparative demonstrates traditional census tract-based approaches may underestimate these by failing to account actual pedestrian patterns. These findings highlight necessity high-resolution assessments into planning initiatives foster equitable development.

Язык: Английский

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Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach

Environmental Research, Год журнала: 2023, Номер 239, С. 117286 - 117286

Опубликована: Окт. 4, 2023

Язык: Английский

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Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction

Applied Soft Computing, Год журнала: 2024, Номер 157, С. 111569 - 111569

Опубликована: Март 31, 2024

Язык: Английский

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A novel air pollution forecasting, health effects, and economic cost assessment system for environmental management: From a new perspective of the district-level

Journal of Cleaner Production, Год журнала: 2023, Номер 417, С. 138027 - 138027

Опубликована: Июль 8, 2023

Язык: Английский

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Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model

Atmospheric Environment, Год журнала: 2023, Номер 309, С. 119956 - 119956

Опубликована: Июль 13, 2023

Язык: Английский

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