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Showing 3 results for Emamgholi

Shahram Emamgholi, Gholamrezaa Janbaz Ghobadi, Parviz Rezaei, Sadroddin Motevali,
Volume 0, Issue 0 (3-1921)
Abstract

Temperature is one of the basic elements of climate, so its sudden or short-term and long-term changes can change the climate structure of any place. Intense heat waves are one of the most important climatic disasters that have far-reaching effects on various human activities and when they are of high intensity and frequency, they can produce major problems. In this study, to investigate the trend of 49-year frequency series (1970-1970) of hot wave events in Tehran, from two indices of hot days and hot waves (hot days lasting 2 days or more), non-parametric statistics of Sens trend analysis were used. All stations indicate an increasing trend both in the number of hot days in Tehran and in the frequency of hot wave events in 5 stations in Tehran. In this study, two hot waves were identified in Tehran, the first wave in 2010 covered a large part of the central and western parts of the country and the second wave in 2013, which was in all stations of Tehran and even many provinces. Are registered in the country. The results of spatial analysis of hot wave temperature in the statistical blocks of Tehran showed that generally the central areas of Tehran, including areas 6, 7, 8, 10, 11, 12, 14, 15, 4, 7, and 19 significantly It has been affected by the critical temperatures caused by the warm wave rule, while the northern parts of Tehran have been affected by the lower intensities of the hot wave.
Mr Shahram Emamgholi, Dr Gholam Reza Janbaz Ghobadi, Dr Parviz Rezaei, Dr Sadr Aldin Motevali,
Volume 21, Issue 63 (2-2022)
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.

Dr Hoomayoon Molaei, Dr Emamgholi Babadi,
Volume 23, Issue 70 (10-2023)
Abstract

Abstract
Iran is one of the most earthquake-prone countries in the world and its cities have suffered a lot due to this natural phenomenon. The purpose of this study was the spatial analysis of earthquake crisis management. The research method has been applied-developmental. The research area of ​​Khuzestan province and the statistical population included elites in the field of urban planning in Khuzestan province who were selected by targeted sampling method. There have also been two statistical tests. The results of statistical analysis showed that from the perspective of statistical individuals, proper crisis management (organizational structure, proper distribution of emergency services, manpower, equipment and information system) has a positive and significant effect on reducing mortality and financial vulnerability. Also, the results of Hot spot analysis showed that hot and earthquake-prone hotspots in Khuzestan province were mostly located in Behbahan, Masjed Soleiman and Andimeshk counties
 

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