Objective: The aim of this study was to evaluate the spatial analysis of drug-related crimes in Iran's provinces. Method: The statistical population of this study consisted of 31 provinces of the country based on the data of 2015. The model used for datat analysis included Prometheus, Global Moran statistics, and Oval standard deviation. Results: The provinces of Ilam and Tehran with Phi values...

Abstract: The gradual warming of the earth and its negative environmental and economic impacts contributed to pay attention to sustainable development considerably. Since climate change is a major cause of greenhouse gas emissions, including CO2, countries are seeking to prevent the rapid growth of emissions to reduce global climate change. Accordingly, and considering the importance of the sub...

One of the powerful tools in dust storms analysis that have recently found extensive application is atmospheric-chemistry numerical modeling. Spatial and temporal distribution of Middle Eastern dust for a severe dust event during 4-8 July 2009 was analyzed by Weather Research and Forecasting with Chemistry (WRF/Chem) model simulations and remote sensing observations. The HYSPLIT model is applie...

Due to the complexity of air pollution action, artificial intelligence models specifically, neural networks are utilized to simulate air pollution. So far, numerous artificial neural network models have been used to estimate the concentration of atmospheric PMs. These models have had different accuracies that scholars are constantly exceed their efficiency using numerous parameters. The current...