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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
31
51
article
Identification and Detection of 1 July 2008 Dust Storm with MODIS Data
1
2
3
zeynali.b@uma.ac.ir
4
5
Abstract
In this research has been used from Dust hourly data (Horizontal View and meteorological code) 87 synoptic stations in 2008 year. After extraction of dusty days, 1 July 2008 selected for case study Because of the horizontal visibility lower than 1000 m (Dust Storms diagnostic criteria in this study) in most stations in the western half of Iran. Also MODIS Images of Aqua and Terra in 1 July 2008 times 8:55, 7:20 and 7:15 has been used for detection Dust Storm on Satellite images. Visual indexes of true color image and NDDI, BTD, BTDI and LBTD digital Indexes have been used for detection of Dust Storm on MODIS images. Results indicated that LRDI digital index and false color composing have the higher resolution than the other indexes for detection of dust storms. According studied satellite images and other studies, Dust Storms source of western Iran is external that their mainis clouding deserts of Syria, Arabian, Northern Africa and Iraq dried beds.
http://geographical-space.iau-ahar.ac.ir/article-1-1124-en.html
Dust Storm
MODIS Aqua/Terra
Remote sensing
Iran.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
83
99
article
Zoning Desertification Potential Risk in Abozydabad Region by Using Modified Numerical Taxonomy Model
m.sadeghiravesh@tiau.ac.ir
1
ahmadi@ut.ac.ir
2
Abstract
Classification and provision of desertification intensity map, as an efficient tool, has an important role in evaluation of environmental capability and prevention of desertification and reclamation of degraded lands. Therefore, in this research vulnerability assessment of environmental issues to desertification risk has been assessed in Abozydabad region using Modify Numerical Taxonomy (MNT) model. Results show that MNT model has high ability to assess desertification risk and provision of desertification intensity map. Weighted average of the quantitative value of desertification intensity was estimated at 0.54 for all the study area (intense class of desertification risk). The obtained results show that %29.5 of the area has high vulnerability and %2.5 of the area has severe vulnerability to desertification and %68 of the region has moderate vulnerability to desertification. The obtained results provide better planning for desertification minimizing in relation to development projects and the balance between development projects and environment can be possible according to priorities and vulnerability hazard Zoning of the area.
http://geographical-space.iau-ahar.ac.ir/article-1-1274-en.pdf
Keywords: Abozydabad
Desertification
Modified Numerical Taxonomy (MNT) Model
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
95
111
article
The Ecological Status of Green Space in Birjand with Emphasis on the Regional and Local Parks Based on Landscape Metrics
1
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3
4
Since improper planning can destruct ecological structures such as vegetation within cities and their surrounding and conclude loss of biodiversity and stability of ecological processes, it is important to attend to ecological principles in land use planning. Therefore an efficient urban planning cannot be formed without regard to ecological principles. Thus in this study the landscape metrics (MNN, NP, MPS, CAP) , individually and all together, has been used for analyzing the ecological status of green space in Birjand. Then due to the close relationship between green space and urban parks, the ecological sustainability of urban parks (in the local and regional scale) was evaluated. The results of this study indicate that Public green spaces in Birjand City, are not favorable from the aspect of composition and spatial distribution. and also mosaic network of green spaces don't have sufficient extent and continuity for ecological services. so we should try to improve public green space regions status,that We can achieved this issue by the creation of connectivity between the regions that have discrete green patches with small area. and this issue is very important in site selection for new parks.
http://geographical-space.iau-ahar.ac.ir/article-1-1154-en.html
Urban Green Space
Landscape Metrics
Ecological Principles.
per
دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
101
125
article
Examine the Effects of Tourism on the Host Community\'s Quality of Life Case Study: City Bandar Turkmen
shokouhim@um.ac.ir
1
2
3
mododi_61@yahoo.com
4
Abstract
Today tourism as the world's largest service industry, a special place in the field of economic, cultural, social and political is allocated. Growth and development of this industry in recent decades in developed and developing countries cause restructure and various social, economic and environmental changes has been in the host community. One very important aspect of this debate is the impact of tourism on the host community's quality of life. The few studies done on this issue and therefore there is limited understanding of this issue. This article with Understanding of this issue trying to assess the effects of tourism on host communities is the quality of life and in this aim the City of Bandar Turkmen has been chosen as the study sample. Method of research is descriptive and analytical and Information collected through questionnaires in a sample of 375 people of city Bandar Turkmen residents. The calculations in this paper is based on factor analysis. For this purpose, 48 indicators were chosen in various aspects of quality of life indicators that have been reduced to four factors, and 77.7 percent of the variance in the fall. Among the top four factors influence the ratio, the economic factors 28.56 percent, social-cultural factors 21.44 percent, physical factors (environmental issues) 15.173 percent, physical factors (infrastructure) 12.59 percent of the variance are explained.
http://geographical-space.iau-ahar.ac.ir/article-1-1276-en.pdf
Keywords: Tourism
Quality of Life
Host community
Factor Analysis
City Bandar Turkmen.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
113
132
article
Estimation of Suspended Sediment Load Using Meta-Heuristic Methods in Ahar Chai River
1
2
3
Correct estimation of suspended sediment and its impact on the design and management of water projects, have always vital roles in advancement of studies concerning the river engineering, especially with consideration of the technical and economic difficulties associated with the installation and operation of stations for measuring sedimentation. Therefore, presenting an appropriate strategy for accurate prediction of sediment load of rivers would be significantly valuable. The deficiency in having a full set of precise measurements for the influential parameters in the sedimentation process and also the complete non-linear nature of models for the corresponding methods result in the rather inaccurate estimation, and therefore without the possibility of evaluating the changes in the sedimentation carried by the flow as a function of time, it would be impossible to come up with a comprehensive model. The purpose of present study is the evaluation of capability of Artificial Neural Networks (ANN) and Genetic Programing (GP) in predicting the sediment load in the Ahar-Chai. In order to estimate the sediment load, flow rate data, precipitation data, temperature data, and earlier sedimentation data have been used in these models. These models were applied to the Ahar-Chai River located in the East-Azarbayjan Province and the results were investigated and were compared to the collected data. In order to assess the efficiency of each of aforementioned models, the calculated data using each model were compared to the observed data using parameters namely, Coefficient of determination (R2), Nash-Sutcliffe model efficiency coefficient (E) and root mean square error (RMSE). Finally, the Genetic Programing was identified as the best model in estimating the sedimentation in Ahar-Chai river was identified and recommended.
http://geographical-space.iau-ahar.ac.ir/article-1-1127-en.html
Artificial Neural Network (ANN). Sediment load
Modeling
Ahar-Chai River
Genetic programing (GP)
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
133
151
article
Study and analysis satisfaction rate of rural residents of quality of life (Case study: Sub-Distriction Mahban, Township Nikshahr)
F.barimani@umz.ac.ir
1
2
3
Due to the deprivation of the rural population and study and analysis the quality of life this group of society as a measurement criterionis in meet to material and immaterial needs of rural families and mental perception and satisfaction of these needs is essential.This article has been done in response to this need in the Sub-district Mahban of Township Nikshahr(Sistan and Balouchestan province). Its main purpose, assessment of quality of life for rural residents to measurement of satisfaction and its and explanation the factors affecting it in economic and social dimensions. Research methods is descriptive - analytical using questionnaires. Research data have been obtained using random sampling of 273 households in 19 villages of households over 20. For data analysis was used statistical methods (correlation, one-sample T test and ANOVA). The results show that the satisfaction rate of the rural population is lower than average from quality of life in economic and social dimensions. Service facilities most (0/361) and government facilities the lowest (0/193) impact a have on satisfaction quality of life. Also components education and employment status have a significant relationship with satisfaction the quality of life.
http://geographical-space.iau-ahar.ac.ir/article-1-1148-en.html
Satisfaction
Quality of Life
Economic and Social Indicators
per
دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
151
171
article
Analysis of the Effects of Implementing the Rural Guide Plan Using the Structural Equation Model (Case study: Zanjan County)
E- Mail: rohollahrezaei@yahoo.com
1
E- Mail: safa_leila@yahoo.com
2
Abstract
The main objective of this descriptive- correlative research was the analysis of the effects of implementing the Rural Guide Plan (RGP) in the villages of Zanjan County. The population of the study contained all heads of rural households in the villages having more than 100 households in Zanjan County in which RGP has been implemented by the end of 2011 (N=8748). According to the Krejcie and Morgan table, a sample size of 370 was selected using a stratified random sampling method (n=370). A questionnaire was used to collect the data. The content validity of the questionnaire was confirmed by a panel of experts. A pilot study was conducted to establish reliability of the instrument. Cronbach’s alpha coefficients for the main scales of questionnaire were higher than 0.75. The data were analyzed by SPSSwin20 and LISREL8.5 softwares. The Explanatory Factor Analysis and Confirmatory Factor Analysis (Structural Equations Model) were used in order to categorize and identify the factors related to effects of implementing the RGP in the villages of Zanjan County and investigate the fitting indices surpasses model, respectively. The results showed that five factors namely, physical, economic, social- cultural, hygiene and environmental explained 67.71 percent of total variances of effects of implementing the RGP in the villages of Zanjan County.
http://geographical-space.iau-ahar.ac.ir/article-1-1263-en.html
Keywords: Rural Guide Plan
Effects Appraisal
Zanjan County
Structural Equations Model.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
153
173
article
Assessment of MODIS images and data validation to measure PM10 in related to ground station data. Case study: Sanandaj, Iran.
j.amanollahi@uok.ac.ir
1
2
Abstract
In the last decade, remote sensing has increasingly been used to evaluate atmospheric phenomena with respect to the crisis created by the dust storms in West of Iran. It has been proven that remote sensing would facilitate environmental studies in the local and international scales. In present study, we tried to determine the relationship between the MODIS PM10 data and measured PM10 concentration in a ground station (i.e., Sanandaj city in the west of Iran) during June and July 2009, using Non-linear regression model. RGB images and MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1km (MOD021KM) were utilized to assessment of move pattern of the dusts storm in the study area. Based on obtained monthly and hourly means of PM10 data, the monthly and hourly maximum means were found to be in July and at 12 p.m., respectively. Atmospheric boundary layer altitudes from land surface and wind intensity in Iraq are among the main culprits of the entrance of the dust storms to Iran from the westerner boundaries. The spatial and temporal variation in measured PM10 concentration in the ground station site located in Sanandaj city were completely correspond with the amount of suspended particulate matter shown by MODIS data. Correlation coefficients between MODIS PM10 data and PM10 data measured by the ground station site in Sanandaj city was 0.85 in June and July. Our results indicated that MODIS products could be a reliable tool to assess dust storm movement patterns and to survey the concentration of particulate matter. MODIS scanner is able to provide us with the useful information on the condition and patterns of regional storms such as Iraq and Saudi Arabia from the outside of Iranian boundaries as well as assisting us to implicate an informed management toward dust storms reduction and implication of control program in westerner regions of Iran.
http://geographical-space.iau-ahar.ac.ir/article-1-1147-en.html
MODIS Images
PM10
Dust storms
Movement Patterns
Westerner regions of Iran.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
173
197
article
Evaluation of Artificial intelligent Technique in Prediction of Sediment transport rate in Ajichai River
E-mail: kroshangar@yahoo.com
1
2
Abstract
Due to complexity of erosion and sediment transport phoneme and non accuracy of different sediment transport formulas and sediment rating curves in predicting of transport rate ,application of intelligent meta model systems based on data mining are mentioned for simulation of sediment transport in rivers. The main aim of this research is predicting and simulation of total load transport using data mining approaches. For this purpose, different models consist of dimensional, non dimensional and logarithmic hydraulic parameters are evaluated using FFNN, RBF, GRNN and ANFIS data mining approaches. Results show that RBF and GRNN have better capability and workability comparing other Meta models.
http://geographical-space.iau-ahar.ac.ir/article-1-1265-en.pdf
Keywords: Sediment load
Artificial intelligent technique
Radial basis function
Ajichai river
Neural network.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
195
215
article
The Investigation of Extreme Precipitation and Temperature Behavior in Kermanshah by Statistic Tests
1
2
3
4
To doing this study, daily precipitation, minimum and maximum daily data from synoptic Kermanshah station during 1/1/1961 to 31/12/2011 have been used. In order to detection extreme temperature and precipitation, 27 indices recommended by Expert Team Climate Change and Indices (ETCCDI) and 6 other extreme indices have been used. Before any analysis, data have been quality controlled and pert values eliminated from data time series. To investigation climate change occurrence, recommended statistics tests by World Meteorology Organization (WMO) have been used. Two test Cumulative Density Test(CDT) and Worseley Likelihood Ratio Test (WLRT) applied in order to clarify the homogeneity and non homogeneity and jump in the indices time series. The significant of the jump in time series examined by Mann Whitney test and significant trend tested by Mann Kendal. So changing rate of trend for each 33 indices estimated by Sen Estimator. The results showed that cold extreme indices including FD0, TNx, TN10P, TX10P in Kermanshah are decreasing while extreme warm indices SU25, TR20, TX90P, TN90P, WSDI, TMIN Mean and TMAX Mean are increasing. The indices of R5, R10, CWD and PRCPTOTO are decreasing. In 1976 displacement of Kermanshah station occurred that result in jumping of DTR, TN10P and TMIN Mean indices. The behavior of these indices after jumping year is significant.
http://geographical-space.iau-ahar.ac.ir/article-1-1155-en.html
Climate Change
Extreme Precipitation and Temperature
Statistical Tests
Kermanshah.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
199
211
article
Evaluation of Climate Change Impacts on Potential Evapotranspiration in the West Azerbaijan Province
1
2
Greenhouse gases cause damage on the equilibrium of the climatic system which makes a very necessary investigation on climate change impact on the hydrological parameters such as evapotranspiration on the other hand, in the future decade climatic forecast would play a major role to make a planning. LARS-WG is one of the most famous stochastic weather generators, and the generated data is simulated by the collection of the atmospheric data which can be used for the investigation of weather parameters. At this research, the observed data including precipitation, maximum and minimum temperatures, sunshine duration at the base time and by using climatic fluctuations caused by the general circulation model, HadCM3, under emission scenarios A1B, A2 and B1 are used for the evaluation of potential evapotranspiration in the West Azerbaijan province. The results from LARS-WG model indicated that at this region according to (2046 - 2065) toward to the time frame (2011 - 2030) statistics generated for the variables mean annual temperature and mean annual potential evapotranspiration, total annual rainfall, respectively are by A1B scenario, 50.40 mm, 2.13 °C would increase, and 113.89 mm per year will be reduced, and by the scenario A2, 30.82 mm and 1.57 °C increase, and 4.81 mm per year will be reduced. The statistics generated by the scenario B1 are 32.49 mm, 1.25 °C and 33.07 mm per year will increase. According to the results, under the A2 and A1B scenarios for (2011 - 2030) and (2046 - 2065) are the most critical forecasting for the future status respectively.
http://geographical-space.iau-ahar.ac.ir/article-1-1177-en.pdf
Keywords: Climate Change
Potential Evapotranspiration
West Azerbaijan Province
LARS–WG model.
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دانشگاه آزاد اسلامی واحد اهر
Geographic Space
1735322X
2014-09
14
46
243
267
article
Effects of Khayyam Industrial Township on the objective quality of Neyshabur Villagerʼs lives
1
mmn.2020@yahoo.com
2
From the beginning of human life, individuals try to improve living conditions and to achieve better quality of life. After centuries of efforts of human and getting experienced, industry as a dominant approach has attracted significant attention especially in developing countries. Therefore, the purpose of this research is to measure the of effects of Khayyam Industrial Township and objective quality of Neyshabur rural life. The descriptive-analytical method is based on documentary surveys, field surveys and filling in a questionnaire. Data are analyzed by using Spss software. The results of t – test analyses supported the hypothesis concerning equality of the indices of Social, economic and infrastructural dimensions in elements of hygienic and, therapeutic, entertainment, Social and housing investments. However, the findings rejected this hypothesis for the elements of education, employment, income, infrastructures and facilities. In this connection, significant difference was also found between the objective life quality of villages before and after their employment at the industrial township, because 135 participants (81.32%) stated that their life quality increased after they were employed. The Z value (- 8.421, p< 0.001) also confirmed these findings.
http://geographical-space.iau-ahar.ac.ir/article-1-1149-en.html
Industrial Township
objective life quality
Rural Areas of Neyshabur