Effect of urbanization on aerosol optical depth over Beijing: Land use and surface temperature analysis

Urban Climate, Год журнала: 2023, Номер 51, С. 101655 - 101655

Опубликована: Авг. 23, 2023

Язык: Английский

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Evaluating the Impact of Personal Exposure to Emissions from Sustainable Commercial Heating and Cooking Fuels on Women in Rural Southern India and Their Alignment with Sustainable Development Goals

Water Air & Soil Pollution, Год журнала: 2024, Номер 235(1)

Опубликована: Янв. 1, 2024

Язык: Английский

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Optimized machine learning model for air quality index prediction in major cities in India

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 21, 2024

Abstract Industrial advancements and utilization of large amount fossil fuels, vehicle pollution, other calamities increases the Air Quality Index (AQI) major cities in a drastic manner. Major AQI analysis is essential so that government can take proper preventive, proactive measures to reduce air pollution. This research incorporates artificial intelligence prediction based on pollution data. An optimized machine learning model which combines Grey Wolf Optimization (GWO) with Decision Tree (DT) algorithm for accurate India. quality data available Kaggle repository used experimentation, like Delhi, Hyderabad, Kolkata, Bangalore, Visakhapatnam, Chennai are considered analysis. The proposed performance experimentally verified through metrics R-Square, RMSE, MSE, MAE, accuracy. Existing models, k-nearest Neighbor, Random Forest regressor, Support vector compared model. attains better traditional algorithms maximum accuracy 88.98% New Delhi city, 91.49% Bangalore 94.48% 97.66% 95.22% 97.68% Visakhapatnam city.

Язык: Английский

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How does the urban built environment affect dockless bikesharing-metro integration cycling? Analysis from a nonlinear comprehensive perspective

Journal of Cleaner Production, Год журнала: 2024, Номер 449, С. 141770 - 141770

Опубликована: Март 12, 2024

Язык: Английский

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Sansevieria trifasciata's specific metabolite improves tolerance and efficiency for particulate matter and volatile organic compound removal

Environmental Pollution, Год журнала: 2024, Номер 355, С. 124199 - 124199

Опубликована: Май 22, 2024

Язык: Английский

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Ecological connectivity analysis of typical coastal areas in China: The case of Zhangzhou City, Fujian Province

Urban Climate, Год журнала: 2024, Номер 53, С. 101826 - 101826

Опубликована: Янв. 1, 2024

Язык: Английский

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Air Quality Status and Estimated Health Exposure in Major Metropolitan Indian Cities

Aerosol Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Язык: Английский

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Fractality in PM2.5 Concentrations During the Dry and Wet Season over Indo-Gangetic Plain, India

Water Air & Soil Pollution, Год журнала: 2023, Номер 234(8)

Опубликована: Июль 21, 2023

Язык: Английский

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Assessment of equivalent black carbon variations and its source apportionment over Varanasi, Indo-Gangetic Basin

Atmospheric Pollution Research, Год журнала: 2024, Номер 15(4), С. 102061 - 102061

Опубликована: Янв. 25, 2024

Язык: Английский

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Enhancing Air Quality Forecasting: A Novel Spatio-Temporal Model Integrating Graph Convolution and Multi-Head Attention Mechanism

Atmosphere, Год журнала: 2024, Номер 15(4), С. 418 - 418

Опубликована: Март 27, 2024

Forecasting air quality plays a crucial role in preventing and controlling pollution. It is particularly significant for improving preparedness heavily polluted weather conditions ensuring the health safety of population. In this study, novel deep learning model predicting spatio-temporal variations introduced. The model, named graph long short-term memory with multi-head attention (GLSTMMA), designed to capture temporal patterns spatial relationships within multivariate time series data related quality. GLSTMMA utilizes hybrid neural network architecture effectively learn complex dependencies correlations present data. extraction features involves utilization convolutional (GCN) collect based on geographical distribution monitoring sites. resulting structure imported into (LSTM) establish Graph LSTM unit, facilitating Leveraging an encoder-multiple-attention decoder framework formulated enable more profound efficient exploration correlation research 2019–2021 multi-source dataset Qinghai Province experimental assessment. results indicate that leverages impact data, optimal accuracy six pollutants.

Язык: Английский

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