Showing 6 results for ranjbar
Mohamad Reza Mobasheri:, Samira Ranjbar,
Volume 17, Issue 44 (3-2017)
Abstract
The goal of this study is to identify farms which are affected by wheat rust disease. For this, the sensor data of Landsat 7 satellites in growing season of 2013 and 2014 along with some laboratorial data containing reflectance spectrum of leaf and leaf health degree in different levels of disease are used. The reflectance values of leaf are collected by an ASD spectroradiometer in the range of red and near infrared spectrum. The spectral are simulated for Landsat sensor bands using their spectral response functions. Then with the index of DVI and data obtained for leaf health, the Wheat Health Index was introduced. The correlation coefficient obtained is 0.82 and the relevant RMSE is 0.089 which is really good result for diagnosing highly advanced disease. The results show that, this index has a good performance in wheat high growing season when the greenness is high. It can diagnose regions that are healthy from those whom are blighted. Because the WHI index is a spectral index and is sensitive to leaf color, if the acquired images are close to the harvesting time, its performance will be weakened. The selected region in this survey is located in Fars, province, Saadatshahr city.
Mrs Faranak Bahrami, Mr Abbas Ranjbar.s.a, Mr Ebrahim Fattahi,
Volume 18, Issue 50 (3-2018)
Abstract
Probable maximum precipitation (PMP), is the highest rainfall, which occurs at a given time in a basin. Hydrologist calculates the probable maximum flood for the design of overflow dams, by using the PMP, with two methods: statistical and synoptic. The purpose of this study is calculating PMP in the Ghomrood basin by using the synoptic method. For this purpose rain, meteorological data of the Iran’s Meteorological Organization were used. Also, the data on the 850 and 500 hPa levels were analyzed by the National Center for Environmental Prediction and the National Center for Atmospheric Research (NCEP-NCAR). In the following, the required synoptic maps produced and were studied. Iso rain maps were drawn, and depth-area-duration curves were determined. Eventually, PMP was estimated at 24, 48 and 72 hours. So that 24 hours PMP, by calculating 50 and 100 years return period of dew point estimated 51/75 and 54 mm respectively. Also for 48 hours PMP 128/25 and 132/05 mm, and for 72 hours PMP 97/9 and 101/75 estimated.
Mrs. Mina Ranjbar Fard, Ms. Hourieh Aarabi Moghaddam,
Volume 19, Issue 52 (3-2019)
Abstract
Nowadays almost all big cities are confronting heavy traffic and suffering from lack of parking lots which leads in traffic jam. According to the significant role of vertical parking in reducing the traffic load and smoothing the traffic current; this study was carried out with the purpose of presenting a decision support system for vertical parking site selection for mechanical and constructive parking lots by using Fuzzy-DANP method. Each criterion’s correspondent GIS data was acquired from Tehran Municipality for district no.3, 6, 7, 10, 11 and 17 which were chosen according to the corresponding mayors’ opinions of those districts and converted into its specific layer. Each criterion’s weigh was exerted to its determined GIS layer and eventually all those layers were integrated with each other. The final map of GIS output demonstrated a spectrum which determined the most appropriate to inappropriate locations to establish a parking of each type. The final results were shown within a user interface, including the GIS map and the estimated location of the chosen district and parking type. The overall steps mentioned above are forming the DSS of the study. The results showed that setting up mechanical parking in districts no. 3, 6 and 7 is proper. For building constructive parking; all districts are appropriate.
Ms Zinat Ranjbar, Dr Pari Shokri Firoozjah, Dr Gholamreza Janbaz Ghobadi,
Volume 21, Issue 62 (9-2021)
Abstract
The aim of this study was to evaluate the status of urban resilience in the coastal cities of western Mazandaran province in peak travel conditions. Therefore, in terms of the nature of a descriptive-analytical research, in terms of purpose, it is an applied-developmental research based on survey and field methods. The method of collecting research data was based on the library method, documentation and field survey method (questionnaire tool). The study area is the western coastal cities of Mazandaran province (Noor, Nowshahr, Chalous, Tonekabon and Ramsar). One-way t-test was used to evaluate the status of urban resilience and its various dimensions. The sample cities are then compared and ranked with the Idas multi-criteria decision-making method based on the status of urban resilience and its dimensions. Excel, Spss and GIS software were used in the research stages. The final findings of the study, according to the general result of one-way t-test for the set of urban resilience dimensions, indicate poor resilience of coastal cities in the west of Mazandaran province in peak travel conditions. Also, according to the results of the Idas technique, out of five cities studied, three cities are in weak groups, ie "low resilience status and non-resilience". Therefore, the situation of urban resilience in the western coastal cities of Mazandaran province can be assessed as weak and undesirable based on the indicators of this study.
Dr Elham Mobarak Hassan, Dr Ebrahim Fatahi, Dr Abass Ranjbar Saadat Abadi, Dr Nasim Hossein Hamzeh,
Volume 23, Issue 71 (12-2023)
Abstract
The Great Khorasan in northeast Iran has a variety of surface structures and plains and high peaks, but due to its vicinity to the deserts of Afghanistan and Turkmenistan, it is affected by dust all the time, especially in summer. The purpose of this study was to simulate summer dust in this region by RegCM model. For this purpose, during the period 2000 to 2017, three extreme dust events were selected. The satellite image used to confirmed dust mass presence and then the synoptic structure was analyzed. Finally, the simulation results of RegCM 4.6 model were compared with the observational data including the horizontal visibility and aerosol optical depth (AOD) of Aqua satellite. The synoptic analysis showed that during the summer, low thermal pressures form in the southern Afghanistan and high pressure in the north. This structure lead to the development of north and northeast winds with speeds of 12 to 21 m / s and dust emission on the eastern border of Iran and western Afghanistan. Investigation of RegCM accuracy done by visibility, Aquas’s AOD showed that model performance in South Khorasan is better as Razavi Khorasan. The highest correlation coefficients of AOD of model and horizontal visibility were obtained at Khorasan central stations including Gonabad, Ferdows, Nahaband and Ghaen at -0.82, -0.77 and -0.44 respectively. RegCM model performed a better dust simulation in severe dust with a horizontal visibility down to less than 1000 m, high continuity and horizontal extension. Overall, the RegCM model underestimates the AOD value for the Aqua satellite algorithm.
Dr Sara Karami, Dr Nasim Hossein Hamzeh, Dr Abbas Ranjbar,
Volume 24, Issue 74 (9-2024)
Abstract
Today, dust storms affect the lives of many people around the world and cause a lot of financial and human losses. Every year, Iran is affected by dust storms caused by internal sources and external dust sources located in neighboring countries. Semnan province has several dust-producing sources due to its geographical location, that affect not only this province, but also the neighboring provinces. The purpose of this study is to investigate the dust phenomenon of Semnan province and its monthly changes in the 15-year period, between 2003 and 2017. For this purpose, meteorological stations data of the province and the aerosol optical depth of satellite product have been investigated. Also, GOCART model has been used to estimate the amount of dust emissions from this region and to determine the vertical dust flux in Semnan province. The study of average dust flux showed that the highest values of dust flux was in the southeast of Shahroud and then in the south of Shahroud, Damghan and Sorkheh. A monthly investigation showed that in all months, the average AOD in the southern half of Semnan province was higher than in the northern half. The highest levels of AOD were in May, April and June, and the highest amounts of dust flux were observed in March, June and July. Also, the prevailing wind direction was northeast and northeast, and this factor causes dust particles rising from this region and dust loading in the south of Semnan province and areas of Isfahan, Yazd and South Khorasan provinces.
