Real-time AIoT platform for monitoring and prediction of air quality in Southwestern Morocco

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0307214 - e0307214

Опубликована: Авг. 22, 2024

Urbanization and industrialization have led to a significant increase in air pollution, posing severe environmental public health threat. Accurate forecasting of quality is crucial for policymakers implement effective interventions. This study presents novel AIoT platform specifically designed PM 2.5 monitoring Southwestern Morocco. The utilizes low-cost sensors collect data, transmitted via WiFi/3G analysis prediction on central server. We focused identifying optimal features using Minimum Redundancy Maximum Relevance (mRMR) LightGBM Recursive Feature Elimination (LightGBM-RFE) techniques. Furthermore, Bayesian optimization was employed fine-tune hyperparameters popular machine learning models the most accurate concentration forecasts. Model performance evaluated Root Mean Square Error (RMSE), Absolute (MAE), coefficient determination (R 2 ). Our results demonstrate that model achieved superior prediction, with reduction RMSE compared other models. highlights potential platforms coupled advanced feature selection hyperparameter forecasting.

Язык: Английский

Short‐Lived Air Pollutants and Climate Forcers Through the Lens of the COVID‐19 Pandemic

Reviews of Geophysics, Год журнала: 2024, Номер 62(4)

Опубликована: Дек. 1, 2024

Abstract Dramatic reductions in anthropogenic emissions during the lockdowns of COVID‐19 pandemic provide an unparalleled opportunity to assess responses Earth system human activities. Here, we synthesize latest progress understanding changes short‐lived atmospheric constituents, that is, aerosols, ozone (O 3 ), nitrogen oxides (NO x and methane (CH 4 response induced emission associated climate impacts on regional global scales. The large‐scale reduction transportation sector reduced near‐surface particulate concentrations, with certain enhancements modulated by oxidizing capacity abnormal meteorological conditions. increase is a combined effect fluctuations chemical sinks. Global net radiative forcing all species was found be small, but regionally, aerosol were discernible near China India. Aerosol microphysical effects clouds precipitation reported from modeling assessments only, except for observed aircraft contrails. There exist moderate climatic surface temperature, circulations, ecosystems, mainly over populous polluted areas. Novel methodologies emerge pandemic‐related research achieve synergy between observations multiple platforms model simulations overcome enormous hurdles sophistication detection attribution studies. insight gained concerning complex interplay emission, chemistry, meteorology, as well unexpected forcing‐responses relationships, underscores future challenges cleaning up air alleviating adverse warming.

Язык: Английский