Showing 3 results for saboohi
S. Soltani , L. Yaghmaei , M. Khodagholi , R. Saboohi ,
Volume 14, Issue 54 (winter 2011)
Abstract
The temporal and spatial vegetation dynamics is highly dependent on many different environmental and biophysical factors. Among these, climate is one of the most important factors that influence the growth and condition of vegetation. Of the abiotic factors affecting the geographic distribution of vegetation type, climate is probably the most important. Ecological research has traditionally aimed to generalize vegetation types that are assumed to be homogenous. Most of climatic classifications related to bioclimate are focused on limited climatic factors such as temperatue, precipitation and combination of them. As climate is a compound phenomena using limited factors cannot show the climate of a region, and as a result most climatic factors must be considered in bioclimatic classification. Therefore, a climatic study using various climatic factors could reveal the effective factors in distribution of vegetation. In order to determine bioclimatic zones in Chahar-Mahal & Bakhtiari province using multivariate statistical method, 71 climatic variables, which were more important in plant ecological conditions, were selected and evaluated by the factor analysis. The factor analysis revealed that the first three factors which explain %91.8 of total variance among the selected variables were temperature, precipitation, and radiation. According to results and using hierarchical cluster analysis in Ward’s method, bioclimatic classification in Chahar-Mahal province was carried out and 5 bioclimatic zones were found. In addition, Chahar-Mahal province was classified by 4 traditional climatic classification methods (Koppen, Gaussen, Emberger and De Martonne) and those classes were compared to climatic classes obtained by multivariate statistical method. The latter comparison was suggestive of the fact that multivariate statistical method provides a more appropriate classification in comparison to the traditional methods, specially because more dominant vegetation species could be defined for each of the newly described climatic classes. Furthermore, dominant species were determined for each climatic region.
M. Khodagholi, R. Saboohi, Z. Eskandari,
Volume 18, Issue 67 (Spring 2014)
Abstract
The geographical location of Isfahan province has led the province to be at risk of drought. One of the ways to mitigate drought is evaluation and monitoring of drought based on indices that can determine its intensity and permanence in each region. In this research, for drought and trend analysis standard precipitation index and Mann-Kendall test were used, respectively. Also, monthly precipitation time series of Isfahan province was applied to forecast drought from 1970 to 2009. For this purpose, Box and Jenkins modeling approach (1976) was used which has three main steps, namely model identification, parameter estimation, goodness of fit test or time independency and normal test of residual. The results showed that most of the stations in Isfahan province were faced with severe drought in the year 2000 and this situation was repeated one more time in 2008. Also, the results brought forth multiplicative models in all the stations. ARIMA (1,0,0) (0,1,1) showed the highest correlations between control and forecast data in Isfahan, Meime and Ardestan stations, and the model ARIMA (0,0,1) (0,1,1) displayed the highest correlation between control and forecasted data in Naein, Freydoonshahr, Khansar and Natanz. These models were selected as the best models through which the amount of precipitation was predicted till 2015. The trend of forecast data across Isfahan province showed that in most months the trend is not significant.
F. Heidari, K. Shirani, R. Saboohi,
Volume 21, Issue 3 (Fall 2017)
Abstract
The Ab-Barik watershed in Bam is a part of Lut desert basin. It is like all other desert areas which has erosion problems caused by wind erosion, sand and soil storms. The result of these sand storms appears as continuous and isolated sand hills. In this paper it was attempted to identify direction and source of harvest points by using sedimentological methods. This was accomplished by step by step sand processed method. At the first step the main direction of harvest areas was determined by some studies such as collecting public information, the study of general morphology and measuring sand hill, comparison of aerial photos in different periods and analysis of region winds. At the second step the origin of sand areas was recognized by investigations such as the study of geomorphological facies of lands of harvest regions with emphasis on morphodynamic wind, granulation of sand hills elements and surface soil of erosionic facies plots at harvest lands, study of morphoscopy of forming particles of samples and determination of indices including central diameter, roundness, sorting and mineralogy of samples. The results revealed that the main source of sands is clay pan facies and farm lands, especially waste lands. Also, the main direction of harvest areas displacement is from south, southwest to north, and northeast. Application of results of this study can modify the used management methods, controlling and confronting with the problem of wind erosion and sand and soil storms.
