Showing 7 results for Hot Spot
Mohammad Hassan Yazdani, Ali Soltani, Hossein Nazmfar, Mohammad Amin Attar,
Volume 16, Issue 42 (9-2016)
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.
Rasoul Heidari Sourehjani, Ahmad Ali Beigi,
Volume 18, Issue 51 (6-2018)
Abstract
At present, one of the issues of all cities is the urbanization and, consequently, the development of urban reptile tentacles on parakeet lands, the consequences of which are: Marginalization, destruction of agricultural lands, population growth of cities, failure to respond to certain services and utilities in the city, physical tissue fractures, environmental problems, especially pollution and urban disruption. In recent years, urban sprawl in many cities of Iran particularly, the boundaries of cities are affected by the urbanization process and the need of citizens. New housing has been transformed into user data and land. Considering that the city of Rasht is similar to other cities in recent years, there has been an increase in population, and has made significant changes in the use of urban land in this city. The present study seeks to evaluate the landslide changes in Rasht city during the years 1998-2016, using different patterns. Hence, to find out the type and extent of changes in the data and the factors influencing urban growth in the above area from the available AutoCAD files, detailed plan of Rasht city and also from Landsat TM imagery to measure urban growth in different directions from the hot spot of all urban users based on the proximity and the area, the results are shown Which has the user density to different levels and the breadth of applications in development and urban growth has played a significant role. Also for horizontal expansion of the city Fuzzy and Cause pattern and Markov chain network in Edrisi software is evaluated and shows that over the course of 18 years Rasht area was 4941.76 hectares It reaches 6202 hectares and represents 1260.243 hectares.
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Farshad Pazhoh, , Mehry Akbary, Mohammad Darand,
Volume 21, Issue 62 (9-2021)
Abstract
The aim of this study is to identify the spatial distribution of Vertically Integrated Moisture Flux Convergence (Vertically Integrated) Moisture Flux Convergence) on Iran’s atmosphere. To achieve this aim, the monthly ECMWF gridded data used during the period from 1/1979-12/2013. First, based on the specific humidity content in the atmosphere, troposphere divided into three layers (850-1000hPa), mid (700-775hPa) and upper (500-600hPa). In order to achieve VIMFC spatial variations on Iran, spatial self-correlation methods of globular moron and hot spots used at 90, 95, 99 and 99/99 percent significance levels. The results of this study showed that the spatial distribution of VIMFC in Iran during the first layer of troposphere and especially during warm months of year has a high cluster pattern and in cold months of the year and in the third layer of troposphere cluster pattern decrease. Based on the hot spots index in the first layer of troposphere low height regions, in the second layer of troposphere the high regions of the Alborz, zagros and central mountains and in the third layer of troposphere alpine regions of central and eastern Iran's mountains has positive spatial self-correlation (hot spots). The results show that in winter and autumn during the second period (1999-2013), the range of hot spots of the VIMFC show a significant reduction compared to the first period (1979-1998) on Iran.
Dr Alireza Mohammadi, Mr Reza Hashemi Masoomabad, Mrs Chnour Mohammadi,
Volume 21, Issue 63 (12-2021)
Abstract
One of the most important and urgent issues of urban planning is the equitable distribution of facilities, services and accessibility of citizens at the urban level. Economic and commercial centers, including banks and financial institutions, are one of the most important economic sectors of cities and can be sustained. Social, economic, physical, and environmental impacts of neighborhoods. The purpose of this study was to investigate the extent of citizenschr('39') access to commercial land use in Ardebil neighborhoods. Therefore, the present study is applied in terms of purpose and descriptive-analytical in nature. The statistical population of the study is 44 localities of Ardabil city. Spatial statistics models, Hot Spot Analysis, and GIS software were used for data analysis. Finally, regression function in Idrisi Selva software was used to analyze the correlation between commercial user and population as well as to determine the relationship and correlation of this user with other service users. The results show that in Ardabil neighborhoods there is inequality in terms of overall business use. As a result, the neighborhoods have high commercial use weights and high concentrations of hot spots in optimum condition, including areas 3 and 5 from zone 2, zone 7 from zone 1 and zone 6 from zone 3. Also, commercial low weight blocks and low concentrations of hot spots, which include areas 8 and 11 from zone 2, area 11 from zone 3, are lower in urban sustainability. Finally, based on the results of the research, some suggestions have been made.
Mr Shahram Emamgholi, Dr Gholam Reza Janbaz Ghobadi, Dr Parviz Rezaei, Dr Sadr Aldin Motevali,
Volume 21, Issue 63 (12-2021)
Abstract
Heat waves are of the most important climatic disasters, which have devastating environmental implications in the nature every year In this study. In this study, non-parametric statistics of trend analysis of Sens were used to investigate the trend of 30-year frequency series (1970- 2018) of hot-wave events in both hot days and hot waves (hot days with a duration of 2 days or more). At all stations, there was an increasing trend both in the number of hot days in Tehran and in the frequency of warm-wave events at 5 stations in Tehran. The main objective of this study is to investigate the population exposed hyperthermia in Tehran during hot waves and based on the frequency analysis of the recorded hot waves, the wave was selected from July 20 to July 28, 2013. Using spatial statistics analysis of hot spots, critical regions of Kermanshah were identified during heat wave and the population of high risk was obtained from demographic using tabular matrix analysis. The results showed that hot critical cores significantly affected areas 6, 7, 8, 10, 11, 12, 14, 15, 4, 7, and 19 during hot-wave days. Has done the average temperature of this hot thermal core averaged more than 43 ° C during two warm waves. In this hot thermal core that significantly rises in temperature during the heat wave, there are a total of 2954485 people in Tehran, which is 35% of the population of Tehran. Also, in this core, there are 13,000 statistical blocks, which is 40% of the total population of Tehran.
Shahla Qasemi, Reza Borna, Faredeh Asadian,
Volume 23, Issue 69 (6-2023)
Abstract
Abstract
In the history of humanity, human always has suffered all difficulties with effort to reach to comfort and well-being until the human provides a way to achieve the comfort. In the viewpoint of climate four elements have significant role in formation of human comfort and discomfort conditions that according to the climatic conditions in different areas, the type and effect of these elements on individuals are also different. The aim of this research is to determine the areas of climatic comfort. For this purpose, temperature, precipitation and humidity data were derived from database of Esfazari for Khuzestan province during statistical period 1965 to 2014. In this process, at first discomfort climate has been defined using temperature, precipitation and humidity based on distribution probability conditional. This research is to determine the areas of climatic comfort in Khuzestan province using multivariate analysis (Cluster analysis and Discriminant analysis) and spatial autocorrelation pattern (Hot Spot index and Moran index) with emphasis on architecture. The results showed that the areas with climatic comfort are included in north and east parts of Khuzestan province. However, the areas of climatic comfort by spatial method have been limited somewhat. Results further indicated that the areas of climatic comfort have decreased significantly towards recent periods especially in cluster analysis and discriminant analysis that a trend of reduction has been remarkable in cluster analysis (from 23.60% in the first period to 17.60% in the fifth period) and discriminant analysis (from 26.97% in the first period to 14.98% in the fifth period).
Zahra Alizadeh -, Dr Mohammad Taghi Masoumi, Dr Hossein Nazmfar, Dr Akbar Abravesh,
Volume 24, Issue 73 (6-2024)
Abstract
Today, with the expansion of urbanization and the increase in the population of cities, urban poverty is one of the important problems that it seems necessary to fight. In the 21st century, one of the indicators of urban progress is the issue of low urban poverty (Lemanski and Marx, 2015). In order to analyze and evaluate the indicators of urban poverty in Rasht city in different blocks and to cluster social poverty in this city (very poor, poor, average, wealthy, very wealthy), to analyze social poverty and extract spatial hot spots from Arc software. Gis was used. And the extraction of different areas of the city was calculated from the R software and by the multi-indicator Prometheus decision-making method, where the weight of the indicators was obtained by the ANP method from the raw data of the statistical blocks of Rasht city in the census of 2015. The findings of the research showed that comparatively, the central parts of the city are covered by medium blocks, and in the outer and peripheral parts of the city center, two hot spot areas are observed, which contain very prosperous blocks. Cold spots are also clearly visible on the outer edge of the city and they cover very poor and poor blocks, and except for the hot and cold spots, the city is mostly in the form of mild spots and most of the blocks are in poor condition. They are placed in average social poverty. Also, based on the findings of the research, most of the deprived areas in terms of social poverty in Rasht city are located in the north-west and north-east parts of the city.
