background: air pollution and concerns about health impacts have been raised in metropolitan cities like tehran. trend and prediction of air pollutants can show the effectiveness of strategies for the management and control of air pollution. artificial neural network (ann) technique is widely used as a reliable method for modeling of air pollutants in urban areas. therefore, the aim of current ...

Background: Air pollution and concerns about health impacts have been raised in metropolitan cities like Tehran. Trend and prediction of air pollutants can show the effectiveness of strategies for the management and control of air pollution. Artificial neural network (ANN) technique is widely used as a reliable method for modeling of air pollutants in urban areas. Therefore, the aim of current ...

the concentration of pollutants around tall buildings can be influenced by many factors such as down wind effects, waves, airflow due to free convection of heat transfer, building height etc. the main objective of this research was the investigation of the variation of pollutants concentration at different heights around tall buildings. research was carried out measuring parameters such as co o...

In this work, the temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland has been explored by remote sensing technique. The change precipitation and temperature obvious effects on vegetation, which affects agriculture stability ecosystem. Pixel dichotomy approach correlation analysis are introduced analyse temporal spatial evolution trend its response clim...