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There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants...
Nowadays, every country pay attention to environment protection, so study on environmental monitoring management system (EMMS) will play more important role. This study integrated the big data technology into EMMS. First, it describes the traditional EMMS which has basic functions. Next it introduced big data technologies and analyzed EMMS system structure integrating with big data and gives an actual...
Air pollutants are really a hazardous problem in Bangladesh. This paper works on the relationship between the pollutants and the admittance of patients in the medical facilities and analyzes the reason behind the increase of the disease rate in the hospitals. The research collected medical data from the medical center named National Institute of Disease of the Chest and Hospital (NIDCH) that is located...
Air pollution can cause the human health, plants growth and daily mortality in numerous studies over the past decade. Therefore, forecasting and analysis of air quality are important topics of research today. The causes of poor air quality are global warming, greenhouse effects, acid rain, etc. Air pollution problems are related to the emissions of sulfur dioxides (SO2), nitrogen dioxide (NO2), suspended...
Watering is the main measure to restrain wind-blown particulate emissions and sound spay parameters heavily rely on the quantitative understand of the effect of mine surface moisture on the wind-blown particulate emissions. The tunnel experiment was carried out in the paper, to investigate the threshold friction velocity of each diameter particulate on the base of the explicit definition the method...
Air pollution is one of the most important environmental problems. Sulphur Dioxide (SO2) and Suspended Particles are considered the most important atmospheric pollutants. The prevision of industrial SO2 air pollutant concentrations would allow us to take preventive measures such as reducing the pollutant emission to the atmosphere. In This work we apply Feed Forward Artificial Neural Network to predict...
A datacube model for atmospheric pollutants is presented in this work. The value of interest is flux of pollutant deposition versus several attributes such as pollutant type, location, geographic scale, etc. We present also an analytical model for the effect of wind gusts on the pollutant distribution. The model takes into account random variations in wind speed and instrumentation noise. We consider...
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