Showing 6 results for Soltani
Mohammadsaleh Ekhlasi, Dr. Somayeh Soltani-Gerdefaramarzi, Dr. Abolfazl Azizian, Morteza Gheysouri,
Volume 0, Issue 0 (3-1921)
Abstract
In this research, the effect of climate change on the amount of virtual water of some strategic crops was investigated in Kerman province for future periods. For this purpose, the climatic data of HadCM3 model was used under RCP4.5 radiative forcing scenario. In order to investigate the possibility of producing and simulating meteorological data in the future periods, was applied the LARS-WG microscale-representative model. For the basic period (1991-2011), was done calibration and validation of the model. Through the data of LARS-WG, the amount of precipitation and the maximum and minimum temperature of the selected stations were predicted for the periods of 2011-2070 and compared with the base period. Virtual water amount was calculated for selected crops including alfalfa, barley and wheat. The results of the current research indicate that the phenomenon of climate change significantly affects the evapotranspiration and the performance of the studied crops, and hence it will affect the agricultural water productivity in the future. While the average temperature of the growing season will increase in the future under the influence of climate change, the maximum temperature parameter will be affected by this phenomenon more than the minimum temperature, and parallel to this, the water requirement and plant evaporation-transpiration will increase in this period. Also, the surveys show a decrease in precipitation in the hot seasons and an increase in the cold seasons in all study stations. The amount of virtual water changes obtained for all studied plants is increasing, and this increase for barley and wheat crops shows a greater increase on average in the future period. The biggest increase in the virtual water compared to the base period in Kerman station is related to barley and alfalfa products by at least 30%.
Mohammad Hassan Yazdani, Ali Soltani, Hossein Nazmfar, Mohammad Amin Attar,
Volume 16, Issue 42 (12-2016)
Abstract
Urban segregation has been a problem of many cities of the world. Many researchers have interested in the urban segregation issues. Urban segregation has strongly concentrated poverty and created underclass. Different types of urban segregation exist, including income and racial or ethnical segregation, and depending on the contextual mechanisms within a city. To understand and plan a better community, urban planners needs to know how to measure the segregation and interpret the results. There have been many developments of segregation measures. Some evolved and some remained unchanged. This paper is studied the most used multigroup measures of residential segregation (8 indicators) in Shiraz city and between different socio-economic groups of it by using of the Segregation Analyzer Software. In general, the results show the occurrence of segregation in the medium amount to the high amount and by the calculated values of 0/7177, 0/5785, 0/5474 – 1, 0/5407, 0/3969, 0/3759, 0/3613, 0/3375 in the city of Shiraz. On the other hand, the use of Hot spots Analysis in the study area shows that the greatest concentrations of the socio-economic high group are in almost near the center of Shiraz city and the northwest of city, and for the socio-economic medium group exists in the west of city. Also there is the greatest concentration of the socio-economic low group in the southwest of Shiraz city.
Somayeh Soltani Gerdfaramarzi, Aref Saberi, Morteza Gheisouri ,
Volume 17, Issue 44 (6-2017)
Abstract
Rainfall is one of the most important components of the water cycle and plays a very important role in the measurement of climate characteristic in any area. Limitations such as lack of sufficient information about the amount of rainfall in time and space scale and complexity of the relationship between meteorological elements related to rainfall, causes the calculation of these parameters using the conventional method not to be implemented. One method of evaluating and forecasting of rainfall in each region is time series models. In this research, to predict the average annual rainfall synoptic station at Mahabad, Uromiya and Mako in West Azarbayejan provience during 1984-2013, linear time series ARIMA was used. To investigate model static, Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) was applied and with differencing method, the non-static data transformed to static data. In next step, stochastic models to estimate the annual rainfall average were used. With regard to the evaluation criterion such as T, P-VALUE < 0.05 and Bayesian Information Creterion (BIC), ARIMA (1,0,0), ARIMA (0,1,1) and ARIMA (0,1,1) models was determined as a suitable model for predicting annual rainfall in the three selected stations at Uromiya, Makoo and Mahabad. In the following, the annual rainfall for 3 (2013-2016) years is forecasted which based on rainfall data in that time, the adjusted model was acceptable.
Doctor Maryam Ilanloo, Sir Hosein Bicgarian, Sir Mohsen Yahya Soltani, Sir Mohammad Mehdi Bahramian,
Volume 19, Issue 52 (3-2019)
Abstract
Solid waste is an integral part of human life, generation of various quantities and qualities of which is one of the greatest environmental problems of the current era. Application of modern tools and technology to find the right place for recycling, where the volume of recyclable materials can be reduced, seems vital for reusing the recoverable materials contained in normal waste and their recycling and reusing in the cycle of industry. The study aimed to find a location for recycling and its converting industries in Kelardasht, Iran. This was a descriptive and analytical research with a survey approach. At first, experts of the field were recognized and a scientific panel was formed to identify the relevant criteria through Delphi method. In this respect, five criteria of the distance from residential and commercial areas, the distance from urban streets, the distance from the river, the distance from the hospital and education centers, and the distance from hotels, banks, and offices were selected. After that, the permitted distances for these criteria were determined by Delphi technique, followed by the application of the centroid method to determine the exact distances. Moreover, the analytical hierarchy process (AHP) and geographic information system (GIS) were exploited to determine the and use weights in raster maps and generation of the zoning map. Furthermore, the best locations for recycling were selected in Kelardasht using field survey method and based on the zoning map. According to the results, four sites were selected for recycling of recoverable solid waste in this region
Msc. Graduated Student Najmeh Daneshvar-Marvast, Dr Somayeh Soltani-Gerdefaramarzi, Dr Samaneh Poormohammadi,
Volume 19, Issue 55 (12-2019)
Abstract
The phenomenon of evapotranspiration causes water and moisture losses from water, soil and vegetation levels. Due to the small amount of atmospheric precipitation and water resource constraints in Iran, it is important to calculate it through a suitable method. The present research attempts to evaluate the evapotranspiration reference crop (ETo) and present it in the form of zoning map as a basic tool for water management. In this study, the long-term average of seven meteorological stations and evaporation pan data were used to determine the appropriate ETo estimation method. Evapotranspiration of reference crop was calculated to 14 methods the based on climatic information in each station. Computational methods including combinational methods Penman-based, radiation-temperature method, temperature method and radiation method. The most appropriate computational method was selected based on the R2 and Nash -Sutcliffe statistics. The zoning of evapotranspiration of reference crop was carried out based on the geographic information of the meteorological stations and the GIS software. The results of the research indicate that the best method for this region as the cold and moderate climate are FAO radiation and Blaney-Criddle. Also, the zoning result shows that west of the catchment has less evapotranspiration rather than its east. Sunshine hours, maximum temperature and wind speed were the most effective factors for evapotranspiration in this area by sensitivity analysis.
Sanam Afaridi, Fereshte Ahmadi, Ali Soltani, Mahmood Mohamdi,
Volume 24, Issue 73 (8-2024)
Abstract
Optimal condition of accessibility and rapid, easy, and safe travel to health_ treatment land uses can be performed by the systematic analysis of transportation sub-systems like behavior. Developed countries are in essential need of proper transportation system for better accessibility. This paper aims to develop model, considering mode chains as well as the individual characters. This study benefits the analytic and quantitative research methods in developing mode choice model to evaluate the movement pattern of travel to health care centers in Shiraz central district (district 1). Each mode is the dependent variable whereas the socioeconomic characters are the independent variables. Filled questionnaire and geographical information system is used in collecting data. To generate the model, multinomial logit model was used that shows public transport like metro and bus are not the popular modes in access to hospitals. Movement pattern cognition in accessibility to special urban land uses, has an efficient role in urban policies and planning, which can be generalized and indigenize to healthcare travel behavior in other geographical areas. Results show that car ownership will increased the private car travel rate 8 times according to beta coefficient.. Taxi is the mode which is used in all three travels. People with lowest range of income and education use bus as their mode. Besides metro travel also has significant relation with low level of income and increase the travel rate 9 times.
Keywords: logit Model, Hospital, vehicle, travel mode, Shiraz City.
