4 Artículos

Application of Artificial Intelligence Models for Aeolian Dust Prediction at Different Temporal Scales: A Case with Limited Climatic Data

Acceso

en línea

Yog Aryal

Accurately predicting ambient dust plays a crucial role in air quality management and hazard mitigation. Dust emission is a complex, non-linear response to several climatic variables. This study explores the accuracy of Artificial Intelligence (AI) model... ver más

Revista: AI Formato: Electrónico

Tabla de contenido: Vol: 3 Num: 0 Par: 3 Año: 2022

An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations

Acceso

en línea

Lianfa Li, Jiehao Zhang, Wenyang Qiu, Jinfeng Wang and Ying Fang

Although fine particulate matter with a diameter of <2.5 µm (PM2.5) has a greater negative impact on human health than particulate matter with a diameter of <10 µm (PM10), measurements of PM2.5 have only recently been performed, and the spatial cov... ver más

Revista: International Journal of Environmental Research and Public Health Formato: Electrónico

Tabla de contenido: Vol: 14 Num: 5 Par: May Año: 2017

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