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Showing 4 results for zanganeh
Dr Shahram Bahrami, Mr Ebrahim Taghavi Moghadam, Dr Mohammad zanganeh Asadi,
Volume 19, Issue 66 (9-2019)
Abstract
Awareness of sedimentation and erosion rates in catchment areas and effective factors. The most important concerns and challenges for geoscientists, especially geomorphologists. Morphometric parameters of drainage network have yery determinant role in the rate of sediment uield in catchment. In this research, in order to evaluate the correlation of morphometric indices of drainage network at annual sedimentation rate, a digital elevation model (DEM), digital topographic maps, geological maps, and statistics and information on the discharge of 15 drainage basins in northeastern Iran were used.And calculated the geomorphometric indices such as: Drainage density (Dd), drainage frequency (FD), drainage (T), fault density (Df), length of drains (BL), branching ratio (Rb), number of hierarchical anomalies (Ha), hierarchical anomalous index (Δa ), The density of the hierarchical anomalies (Ga), concentration time (Tc) and erosion-sensitive units (E) for each of the basins were calculated in the software Arc GIS 10.5. The annual sedimentation rate was calculated using the Ciccacci et al. 1987 method for each basin.The model was validated with sediment data (regional water organization) and the gauge-sediment curve.Then the Pearson correlation coefficient and the relationship of the mentioned indices were calculated using SPSS 17 software, with annual sedimentation rate in ton / km2. According to the results, the Tc, A, E, Ha, BL, Δa indices have a significant correlation with annual sedimentation rate of 0.274, 0.286, 0.118, 0.179 and 0.177 respectively, respectively. There was no significant relationship in other indices. The results of the research show that the method of Ciccacci et al. 1987 is not a suitable method for estimating annual sedimentation rates in research basins. And other factors have the greatest impact on the annual precipitation rate, precipitation intensity, soil condition and land use in annual sedimentation rates of these basins, which should be considered.
Mohsen Rezaei Arefi, Mohammad Ali zanganeh Asadi, Aboalfazl Behniyafar, Mohammad Javanbakht,
Volume 20, Issue 71 (11-2020)
Abstract
Extended abstract
Identification of the Karsticity of the Kalat Mountain Basin in the North East of Iran
Introduction
Karst is a geomorphic and hydrological system formed by dissolved gems such as limestone, dolomite and gypsum (Oziert et al., 2014).In this study, considering the foreign and domestic studies, and considering the role of Paleoclima and the high difference of the ancient climate of this region with present-day climate in the degree of karst karsticity in the region, the degree of karstification of the basin with field, experimental and The hierarchical analysis model was developed.The study area is Kalat Mountain basin in Kopeh Dagh zone, located in the highlands of the thousand mosques and northeastern parts of the country. This basin has an area of 168.37 km2 located 145 km north of Mashhad and in Khorasan Razavi province.
Matherials and Methods
Techniques used in this research include field, empirical, and hierarchical techniques .
1. techniques field
A. Classification of Karstic forms of basin based on the method of Cvijic
B) Division of karstic forms based on Waltham and Fox methods
C) Evidence of Karst geomorphology of Kalat mountain basin
2) Experimental formulas of karst
A) Corbel equation
X=4ET/100
B)The switching equation
X=FQTN/(
3) Laboratory techniques to investigate the dissolution of basin karst
A. Measurement of lime in sediment by calcicometric (volumetric) method with Bernard calcium
B) ICP method (analytical inductive coupled plasma)
C) Weighting method
4) Analytical Hierarchy Model
Results and Discussion
To identify the degree of karstification of the basin with field evidence, empirical and hierarchical analysis model, the following are cited separately:
1. You want to know: Field evidence includes Cvijic methods, Waltham, and geomorphologic evidence. The following is a summary of the field evidence:
Based on this categorization, the Kalat basin karsts are placed in the row of transition karsts. Because in this basin, the dimensions of the caves are small and not very large. Poles, also known as karst areas, are not formed in this basin, and because of their slopes and inappropriate topography they are not likely to be formed in the future. Devils do not have much to gain in the basin. Other forms of karstis also have not evolved.
According to this division, basin karsts are placed on the young karst ranks
In the studied basin, the diversity of landforms is low due to field visits to the basin, and it lacks any cave deposits, and the cave does not really exist in it, and the karst hydrogeology is not much developed. These reasons make the study of the studied basin more youthful to semi-evolutionary .
2) Experimental formulas of karst
A) Result of Corbel equation
According to calculations, the number is obtained 23.66 mm per thousand years
B) Result of The switching equation
According to calculations, the number is obtained 12.92 mm per thousand years .
3) Result of Laboratory techniques to investigate the dissolution of basin karst
A. Result of Measurement of lime in sediment by calcicometric (volumetric) method with Bernard calcium . According to calculations, the number is obtained 36.3
B) Result of ICP method (analytical inductive coupled plasma):
In order to perform the experiment, four rock samples were taken from four important limestone formations of the basin of the ICP technique and analyzed in the laboratory and the results are as follows :
Table 4: Calcium (Ca) element content in Kalat Mountain basin divided by four formations per %
| Type of formation |
Calcium content in% |
| Tirgan |
38.90 |
| Mozduran 2 |
38.34 |
| Sarcheshmeh |
38.41 |
| Shurijeh |
.7 |
C) Result of Weighting method
According to this experiment, 4 samples of Tirgan, Mozduran 2, Kalat and Sarcheshmeh showed 4/3% of the total amount of lime in the sedimentology laboratory.
4) Result of Analytical Hierarchy Model
The basis of this model is the comparison of the parameters of the parameters and ultimately the zoning of the karstic transformation. Considering the role of the various factors and the development of the karsts of the region in the past, and considering the different paleoclima of the past region with the current situation and the role of the various factors in the development of eight layer karst Information was selected. Based on field studies and the opinion of experts and consultants in the doctor's thesis, the lithology factor was chosen as an important parameter in the development of the karst. After that, the distance from the fault was selected considering its important role in the development of the gap and gap. The climate and then the elevation are factors that have been selected as the important and influential factor on rainfall, evapotranspiration and temperature in this study. Subsequently, layers, slope, distance from the waterway were selected for slope and land use. Different layers of information have been categorized into standard layout and field visits by applying expert judgment and assigning weight to each stratum.
Mohsen Rezaei Arefi, Mohammad Ali zanganeh, Aboalfazl Behniyafar, Mohammad Javanbakht,
Volume 24, Issue 85 (3-2024)
Abstract
Karren is said to be grooves or cavities of small and large dissolution that known as carbonate rocks. These grooves are mainly in accordance with the joints and fractures of the rock. For this purpose, the Kalat mountainous basin located in the northeast of Iran (Khorasan Razavi province) was selected at Kopet Dagh Heights. The purpose of this study is to classify the genetic and morphological characters of the Karrens mountainous basin by Ford and Williams’s method. In order to study this form, 1: 50,000 Kalat topography, 1: 100,000 Kalat geological map, 1: 40,000 satellite imageries and aerial photos were investigated to determine the carbonate formations that are likely to form Karen. Then, in the GIS software environment, carbonate units scatter the map was determined, then field studies were performed using GPS, compass, meter, smith hammer and digital camera. In terms of genesis. The results of the study indicated that in the south of the Basin, in the basins of the Estighso, Vanakarran, Pit Karrne, in the northwest of the basin in Qara-Sou, the multifaceted Pite, Karen pit, Mander Karen and Rillen Karen, Ripple Karren, Corridor of Karst and in the east of the Basin in the Hammam ghaleh, Karren pit, and meander Karren. In the northwest of the Kalat Formation, Rillen Karren, Karren Mander, Micro Rillen Karen, Ripple Karen, and Shaft Karen were identified by geometry. The most important factors of the Karrenchr('39')s of the region are the hydraulic processes of water on the limestone slopes, the role of biokarst, impurities of limestone and snow melting.
Dr Maryam Khosravian, Dr Yaaghob zanganeh, Dr Mokhtar Karami, Dr Rahman Zandi,
Volume 24, Issue 85 (3-2024)
Abstract
Earth surface temperature is one of the important criteria in regional regional planning. Today, the increase in temperature of some densely populated urban areas compared to the surrounding rural areas has created a phenomenon known as the urban heat island and has caused many problems. Urban heat island is a surface of the city that is significantly warmer than the surrounding rural areas. For this purpose, first, 8 satellite images of the warm period of the city of Shiraz, during the period from 1985 to 2020, using the data of sensors (TM) Landsat 4 and 5, (ETM+) Landsat 7, (OLI) /TIRS) was collected and extracted by Landsat 8. After the necessary pre-processing, normalized difference vegetation indices (NDVI), land surface temperature (LST) and city thermal area dispersion index with ecological assessment (UTFVI) were calculated. Based on the results of image processing, the places with heat islands, how the temperature changes in the city, the relationship between the changes in the surface temperature and the surface cover were investigated and analyzed in order to identify and analyze the urban heat islands of Shiraz. Changes in the time scale of temperature patterns in Shiraz showed that from 1985 to 2020, about 12.76 square kilometers have been added to the area of the fourth temperature floor. The results of calculating the NDVI index during the studied time period, the vegetation area has decreased from 22.28 square kilometers in 1985 to 17.54 square kilometers in 2020 due to the change of urban uses, which can be the reason for the shape Catching and increasing heat islands in the mentioned areas. The UTFVI index showed that it is very very bad (very hot temperature class) mainly in the western parts of Shiraz from the northwest to the southwest (including parts of region 9 and 10), the southeastern regions of region 7 and the northern regions. Zone 1 is concentrated.
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