BACKGROUND The residents' knowledge, attitudes and practices related to ambient air pollution and health will help to improve the understanding of environmental protection and make environmental health policies more targeted and effective. This study aimed at knowing the attitudes and behaviors towards ambient air pollution and health. METHODS A cross-sectional survey was conducted in Ningbo,...

Objectives: To develop an IoT (Internet of Things) based Solar Energized Weather Monitoring System (I-SOEWM) that incorporates efficient mechanism to receive real-time weather reports both locally and remotely. Methods: Improved localized monitoring system powered by a renewable solar energy has been developed provide continuous parameters namely temperature, humidity, pressure, air quality, et...

In recent years, air pollution in Chennai city India causes some health effects. This study examines the spatial-temporal characteristics of ambient quality five stations Adyar, Anna Nagar, Kilpauk, Nungambakkam and Thiyagaraya Nagar from 2017 to 2022. The surface level aerosol pollutants like particulate matters (PM 2.5 & PM 10 ) gaseous Sulfur dioxide (SO 2 Nitrogen (NO were obtained Tami...

The rapid growth of urban areas and population as well associated development over recent decades have been a major factor controlling ambient air quality the environment in Kerala (India). Being located at southwestern fringe Indian peninsula, is one regions that has significantly influenced by activities Ocean. present study focuses on effect COVID-19 lockdown (in 2021) selected coastal metro...

COVID-19 driven lockdown has affected air quality worldwide. Changes in pollutants concentration, Air Quality Index (AQI), and associated Excess Health Risk (ER%) were assessed using satellite data of before (2019), during (2020) periods the industrially, agriculturally developed highly populated area Haryana northern region Indo-Gangetic Plains. Parameters such as Aerosol Optical Depth (AOD), ...

Air pollution is one of the biggest concerns in world but it has not been paid much attention developing countries. It necessary to design models and methods understand air countries reduce rate pollution. This paper proposes an Internet Things (IoT) Artificial Intelligence (AI)-based hybrid model predict Quality Index (AQI) with a practical case study public data sets. The sensor node deployed...

According to World Health Organization (WHO) estimates and based on a world population review, Iraq ranks tenth among the most air-polluted countries in world. In this study, authors tried evaluate outdoor air of Kirkuk City north Iraq. The relied two types data: field measurements remotely sensed data. Fifteen quality points were determined study region representing monthly average implemented...

Demand for more accurate particulate matter forecasts is accumulating owing to the increased interest and issues regarding matter. Incredibly low concentration matter, which accounts most of overall often underestimated when a prediction model based on machine learning used. This study proposed concentration-specific separation overcome this shortcoming. Three models Deep Neural Network (DNN), ...

Due to air quality significantly affects human health, it is becoming increasingly important accurately and timely predict the Air Quality Index (AQI). To this end, paper proposes a new federated learning-based aerial-ground sensing framework for fine-grained 3D monitoring forecasting. Specifically, in air, leverages light-weight Dense-MobileNet model achieve energy-efficient end-to-end learnin...

OEMs and operators of complex mission/safety critical systems are faced with the requirement to mitigate design and performance risks and their economic consequences. A key issue for any engineering organization is the integrity of the analysis that is used to support significant commercial decisions. Analysis outputs used to establish or validate performance criteria should have an appropriate...