Abolgassem Amir Ahmadi; Maliheh Mohammadnia; Negar Golshani
Volume 2, Issue 3 , January 2017, , Pages 21-42
Abstract
Methods used for identification, separation and prioritization of flood prone areas generally consider the basin as a whole, or as regional regardless of the physical borders of the basin or the sub-basin. Hnnenjan Zrchshmh basin is located in Shahreza in Esfahan province. Every year, floods inflict ...
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Methods used for identification, separation and prioritization of flood prone areas generally consider the basin as a whole, or as regional regardless of the physical borders of the basin or the sub-basin. Hnnenjan Zrchshmh basin is located in Shahreza in Esfahan province. Every year, floods inflict considerable damage to large areas of its lands, rivers and orchards. Identifying and predicting the flood volume of these basins which undoubtedly condition the downstream areas and identifying the priorities and sensitivity of the sub-basins for flood control programs, is of great necessity. This study uses hydrological simulation method via HEC-HMS software to reconstruct and evaluate the routing flood hydrographs in the basin and analyze the sensitivity of flood discharges with respect to the parameters of the watershed in addition to CN, slope and area of each sub-basin in its logical extension. Calculation of the results in this study show that the kind of sub-basin participation in output flood are not necessarily proportional to the peak and that the sub-basins with high peak are not necessarily more effective in sealing the watershed outlet. Therefore, for any flood control operation or reduction of the peak flows in the watershed outlet, the effect of each basin after routing of the main channels must be determined. Then according to the share they have in the output seal, they should be prioritized and divided. Implementing the individual omission method of basins in the Hunejan Zrchshmh basin model with HEC-HMS software it was determined that the S13 sub-basin has the most and the S3 has the least decreasing effect on the output peak flow of the basin. Furthermore, increased CN in sub-basins S13-S5-S11-S12-S10-S15-S6 have increased the peak flow. Sub-basins S12-S13-S5-S10 showed greater sensitivity to changes in the area. Also the slope increase in the sub-basins S2, S4, S5, S7, S10, S12, S13, S15, S16, S17, S21, S22, and S24 has had a direct impact on the increase in peak flow output, having the reverse effect on other sub-basins.
Alireza Entezari; Abolghasem Amir Ahmadi; Kazem Aliabadi; Maryem Khosravian; Majid Ebrahimi
Volume 3, Issue 8 , December 2016, , Pages 113-139
Abstract
Received: 2015.01.26 Accepted: 2016.11.02 Alireza Entezari[1]* Abolghasem Amir-Ahmadi[2] Kazem Aliabadi[3] Maryam Khosravian[4] Majid Ebrahimi[5] Abstract Land surface temperature estimated to cater to the wide range of remote sensing, lack of monitoring and limited meteorological stations. With regard ...
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Received: 2015.01.26 Accepted: 2016.11.02 Alireza Entezari[1]* Abolghasem Amir-Ahmadi[2] Kazem Aliabadi[3] Maryam Khosravian[4] Majid Ebrahimi[5] Abstract Land surface temperature estimated to cater to the wide range of remote sensing, lack of monitoring and limited meteorological stations. With regard to the monitoring of land surface temperature in a limited number of weather stations as part of the need for broad distribution across the surface temperature at the same time, land surface temperature was calculated. Parishan lake because of the proximity to the metropolis of Shiraz shows the temperature and humidity play an important moderating role in this city. Drought in recent decades and the subsequent reduction in the water level of the lake has had adverse effects on the surrounding areas, especially in Shiraz temperature and humidity. The purpose of this research is to estimate land surface temperature using SEBAL (SEBAL) (modified surface energy algorithm for land) in Parishan Basin and relationship with land use / cover (LULC). For this purpose, use ETM+ images from 2000 and 2013 and after the various stages processing of image to extract the land use plans based on support vector machine (SVM) was developed during a period of 13 years. By applying SEBAL algorithm on satellite images was prepared heat map. For this purpose implement this method, was calculated the thermal radiance corrected (Rc), the emissivity of the surface of the thermal band (ε), spectral radiance (Lλ), the reflectance of each band (ρλ) and surface albedo (α). The results of this study showed the most of that land use changes in the use of the lake there is about was destroyed 35/97% of the lakes in the course of 13 years and much of it have land use changes uncultivated land and agricultural. In addition, increased desertification and loss of vegetation, it affects increasing land surface temperature (LST). The highest temperature (LST) is evident in the salt marsh and bare rock outcrops are considerable with the passing years and the increasing temperature. The results have been applied in the study of natural resources protection and can be helpful natural resource conservation programs. [1]- Department of Geomorphology and Climatology, Hakim Sabzevari University, Sabzevar (Corresponding Autor),Email:entezari@hsu.ac.ir. [2]- MS.c of Remote Sensing and GIS, Coach of Hakim Sabzevari University, Sabzevar. [3]- MSc Student of Applied Climatology, Hakim Sabzevari University, Sabzevar. [4]- MSc Student of Applied Climatology, Hakim Sabzevari University, Sabzevar. [5]- Ph.D Student of Geomorphology, Hakim Sabzevari University, Sabzevar.
