Davood Mokhtari; Somayyeh Moazzez; Fatemeh Mohammadzadeh Golani
Volume 4, Issue 10 , June 2017, , Pages 1-19
Abstract
Water supply has been one of the most important issues in human life since the ancient times. Surface and underground water resources are valuable resources that supply fresh water to human use. Regarding the increase in human population, agricultural and industrial development, and overusing water, ...
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Water supply has been one of the most important issues in human life since the ancient times. Surface and underground water resources are valuable resources that supply fresh water to human use. Regarding the increase in human population, agricultural and industrial development, and overusing water, the study of any area's water potentials is essential for its protection and efficient water use. In this study, the prioritization of hydro-geomorphological factors in water supply and allocating appropriate settlements were investigated. In addition, the TM image of Landsat Satellite, 2011, were used. The selected Hydro-geomorphological factors included slope, slope direction, lithology, land use, and the like, which were prepared in the GIS environment. Then, through the analysis of a hierarchical process, weighting of the layer was performed. The accuracy of the measurement in this study was verified using the comparison of the obtained results with all layer information as the standard. It was revealed that the places which were marked as very suitable and suitable had the best conditions. It could be concluded that the process of AHP has a better function in determining hydro-geomorphological factors in water supply and identifying the allocation of settlements. In addition, the interpretation of the results revealed that the distance from the river, rain fall and elevation the most significant factors.
Davood Mokhtari; Fatemeh Mohammazadeh Golani; Mohammadreza Nikjoo; Shamsollah Asghari
Volume 3, Issue 6 , January 2017, , Pages 1-16
Abstract
Estimates of Erosion Sediment of Gavi River Catchment Using Mpsiac Method in GIS Environment Davood Mokhtari[1] Fatemeh Mohammazadeh Golani[2]* Mohammadreza Nikjoo[3] Shamsollah Asghari[4] Abstract Gavi river catchment is located in the south west of Ilam city covering the area of 460 km² ...
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Estimates of Erosion Sediment of Gavi River Catchment Using Mpsiac Method in GIS Environment Davood Mokhtari[1] Fatemeh Mohammazadeh Golani[2]* Mohammadreza Nikjoo[3] Shamsollah Asghari[4] Abstract Gavi river catchment is located in the south west of Ilam city covering the area of 460 km² where different types of erosion incidences are noticeable therefore, estimating the amount of erosion and deposition is essential for soil and water conservation projects. The method of this study is based on litrature review, field and empirical models of erosion and sedimentation estimation. Empirical model of MPSIAC whit considers the most effective parameters in erosion and sediment is used as a chosen technique and the environmental parameters are analyzed in this format. At the end the results were compared to Bajk strait sediment station. GIS software is used to prepare the information layers. The results show that MPSIAC model is a good model in this area, because as a sample, the estimated amount of sediment in the area using MPSIAC model was 20.453 tons per square kilometer of sediment per year and estimated sediment in hydrometeric station of Bajak strait is 23.460 tons per year. It was also observed that the estimated sediment in this basin is in erosional Class4 and in terms of quality classification, erosion is in high level and according to the definition of this level it can be said that in this basin the relocation of the soil particles (dust) is in a rate that accomplishment of soil and water conservation programs should be in priority and lands usage should be limited. Keywords: Gavi catchment, Erosion and sediment, MPSIAC, GIS. [1]- Professor of Geomorphology, University of Tabriz, Tabriz, Iran. [2]- Master Student of Geography, University of Tabriz, Tabriz, Iran, Email:fa.mohammadzade@yahoo.com. [3]- Associate Professor of Geomorphology, University of Tabriz, Tabriz, Iran. [4]- Lecture of Agricultural Research Center of Ilam Province.
Sharam Roostaei; Davood Mikhtari; Zahra Hosseini; Mahdi Etmani Hagviran
Volume 2, Issue 4 , January 2017, , Pages 101-123
Abstract
Shahram Roostaei[1]* Davood Mokhtari[2] Zahra Hosseini[3] Mahdi Etmani Hagviran[4] Abstract The management of natural disasters requires locational information in order for prepareness against riske and perils and to decrease them. In this regard it is necessary to eualuate the occurance potential of ...
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Shahram Roostaei[1]* Davood Mokhtari[2] Zahra Hosseini[3] Mahdi Etmani Hagviran[4] Abstract The management of natural disasters requires locational information in order for prepareness against riske and perils and to decrease them. In this regard it is necessary to eualuate the occurance potential of land slides in region which is suseptable for landsliding due to its geographic situation and human construction operations. The case study locates in Dehloran city of Ilam provience in Zarinabad district with 33· 1΄ 30΄ to 33· 19΄ northern latitude. Mimeh river catchment because of having a particular Lithologic ,climate and land use conditions,enjoys young (new) roughness with high altitude variations and sensitive steep slops. On the other hand, human interferences has been increased in this region,therefor,more studies become a necessity. In the study of landslide occurances in the area of Mimeh river catchment,network analysis process (ANP) was applied. In this research some indicators like slop,slop side, lithology, land use, raining,distance form the river, distance form the road and levations were applied in order to determine prone areas. Methods based Analysis of standards in software Super Decision criteria in overlapping layers of information and then integrating the software ARCGIS and, network analysis process(ANP) and the overlap index. The findings showed that ANP has 81/69proportionate with transmittal map of landslides, also coefficients interpretation proved that raining, lithology,and elevation indicators play significant role in landslide. [1]-Professor; Faculty of Geomophology; University of Tabriz (Corresponding author), Email:tabrizu.ac.ir@roostaei. [2]- Associate Prof.; Faculty of Geomorphology; University of Tabriz. [3]- M.A Student; Faculty of Geomorphology; University of Tabriz. [4]- M.A Student; Faculty of Geomorphology; University of Tabriz.
Davood Mokhtari; Arash Zandkarimi; Sheida Zandkarimi
Volume 3, Issue 8 , December 2016, , Pages 53-72
Abstract
Received: 2015.07.09 Accepted: 2016.10.19 Davood Mokhtari[1]* Arash Zandkarimi[2] Sheida Zandkarimi[3] Abstract Rainfall is counted as the main entrance in hydrologic modeling. Efficient network of the rain gauge stations are the ones having an appropriate density and favorable estimations of rainfall ...
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Received: 2015.07.09 Accepted: 2016.10.19 Davood Mokhtari[1]* Arash Zandkarimi[2] Sheida Zandkarimi[3] Abstract Rainfall is counted as the main entrance in hydrologic modeling. Efficient network of the rain gauge stations are the ones having an appropriate density and favorable estimations of rainfall in locations without any station. In order to optimize the position of the rain gauge stations, different methods have been proposed, among which the geo-statistical methods are widely used. The present study aimed to assess the status of the rain gauge stations of Kordestan Province, and to optimize their position based on geo statistical methods. In this study, in order to evaluate the accuracy of various interpolation methods, the Ordinary Kriging method with circular function was detected to be more credible compared to other models and that it was the most suitable interpolation method in the distribution of rainfall in the province. Furthermore, in order to optimize and estimate the errors of the current stations, the precipitation data from 145 meteorological stations were used, and given the sheer size of the study area and great changes to rainfall data, area segmentation or clustering of the stations was done, and the whole area was divided into 8 clusters. The results of the optimization based on the Kriging coefficient of variation indicated that, by the addition of new 17 proposed stations to the rain gauge network in the province, the values of spatial coefficient of variation of annual rainfall has decreased between 0.21 to 6.67 percent, and close to 12% from the central to the south, and in western areas, respectively. The results of this study have a great importance on the use of geo-statistical methods in optimization, and the generated maps are of high practical value for the executive agencies (Ministry of Energy, the National Weather Service, etc.). [1]- Associate Professor Professor Department of Geomorphology, University of Tabriz (Corresponding Autor), Email:d_mokhtari@tabrizu.ac.ir. [2]- Master Student Remote Sensing, University of Tabriz . [3]- M.A. Land Use-Environmenta, University of Payam Noor Tehran East.
