Dr Ahmad Aftab, Mr Ali Majnoony, Mr Akbar Houshmand,
Volume 22, Issue 65 (6-2022)
Abstract
The present study aims at identifying geopolitical components affecting the spatial planning of border regions in the East Azarbaijan province. The research is an applied research that has been carried out using statistical tests, path analysis and Promethean decision making model. The results of the research showed that social variables with r = 0.811, r = 0.662, political, r = 0.851, ranked first to third. The results of path analysis also showed that political components with 0.96, social and cultural components with 0.93 and economic components with 0.36, have a direct effect on the realization of eastern Azarbaijan province boundaries. Finally, the results of the Prometheus model showed that Sardasht, Maku, Oshnaviyeh, Piranshahr, Orumiyeh, Salmas, Khoy, Siah Cheshmeh and Sardasht, respectively, are in the first to the nineteenth priorities. Therefore, according to the findings of the research, it is suggested that security and security measures are implemented with economic, political, and socio-cultural approaches.
Associated Professor Hooshmand Ataei, Mrs Mahsa Ravarian, Mr Seyed Alireza Tashakori Hashemi,
Volume 23, Issue 69 (6-2023)
Abstract
So far, several models have been proposed for estimating different climate parameters, but due to the lack of valid and long-term data in some meteorological stations, some models have been difficult to use. The SIMETAV V.1.0 model has been developed in cooperation with the University of California Davis and the Water Resources Authority of California in 2005. The SIMETAW model is a new and innovative tool for the estimation of applied water evapotranspiration (ETAW). SIMETAW simulation model is presented to estimate potential evapotranspiration and also estimate the net amount of water required for irrigation (ETaw). In addition, using this model, you can simulate daily meteorological data from meteorological data. The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. In this research, Simetaw simulation model predicts different climate parameters such as solar radiation, minimum and maximum temperature, wind speed, dew point, precipitation and evapotranspiration potential in four different semi-arid climate zones (Mashhad). Dry (Bandar Abbas), moderate and humid (Ramsar) and Mediterranean (Sanandaj) during the years (1967-2017). The results of these studies showed that SIMETAW model has high ability to simulate climate variables and has the highest model accuracy in precipitation simulation (R2 = 0.998) and maximum temperature (R2 = 0.997) for semi-arid climate (Mashhad) , Dew point (R2 = 0.998) for temperate and humid climate (Ramsar), for radiation (R2 = 0.998) and wind speed (R2 = 0.9) for Mediterranean climate (Sanandaj) and minimum temperature (R2 = 0.998) for warm and dry climates (Bandar Abbas).
According to the sensitivity analysis of SIMETAW model, the input parameters of the model are respectively their effect on potential evapotranspiration from maximum temperature, precipitation, dew point temperature and minimum temperature, solar radiation and wind speed.
Dr Ahmad Aftab, Dr Ali Akbar Taghilo, Mr Akbar Houshmand,
Volume 24, Issue 74 (9-2024)
Abstract
The continuous and active presence of disciplinary centers has an important role in ensuring security and peace in cities.Therefore the fair and efficient distribution of law enforcement centers in urban areas is an important factor in meeting this basic need.Therefore, the present study aims to investigate the service of police stations on vulnerable areas of Urmia.The descriptive-analytical research method used in this study is applied.The results of the study show that the vulnerability zoning of the city of Urmia is in four categories from very high to very low. About 68 km2 of the whole area of the city is known to be highly vulnerable.Most of the northern (informal settlements of Region 2) and central (old districts of four region) settlements of Urmia are the most vulnerable areas due to the high density of population and housing,with most of the politically sensitive, commercial and administrative offices in these areas.The results of the network analysis based on standard time (12 minutes) indicate that the 28.9% (24 km2) of the Urmia Vulnerable Areas was not covered by the police stations.Within 12 minutes the police stations of Urmia city have quick access to 55 km2 of about 75 km2 area with high vulnerability and about 20 km2 of this area also without timely access. In terms of the police stations access to low vulnerability areas,the results also show that from about 15 km2 of these areas to 3 km2 have quick access, indicates that there is no quick access to these 12 km2
