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Now showing items 1 - 7 of 7

  • Analysis of the Normal Electrocardiogram in Wild Rooks (Corvus frugilegus)

    Hassanpour, Hossein   Dehkordi, Hossein Abbasi   Khosravi, Mehdi   Soltani, Saeid   Nasiri, Leila  

    To describe the normal electrocardiographic (ECG) patterns and values in unanesthetized rooks (Corvus frugilegus), standard bipolar (I, II, and III) and augmented unipolar limb (aVR, aVL, and aVF) lead ECGs were recorded from 10 clinically healthy wild rooks. Wave forms were analyzed in all leads at 50 mm/s and at 10 mm =3D 1 mV to determine PR, QRS, ST, and QT durations; the net QRS complex; and P and T amplitudes. The polarity of each waveform was tabulated in all leads. The mean electrical axis (MEA) for the frontal plane was counted by using leads II and III. The mean heart rate was 340 +/- 18 beats/min. The P wave was mainly positive in the most leads. The dominant pattern of waveforms of the QRS complexes was QS in leads II, III, and aVF, whereas in leads aVR and aVL, the patterns were rS and R, respectively. The T wave was positive in leads II, III, aVF, and aVL and negative in lead aVR. The mean of the heart MEA was -93 +/- 2.2. Interpretation of the ECG values and patterns in rooks may facilitate a better realization of ECG changes of abnormalities in this species.
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  • Regionalization of Rainfall Intensity-Duration-Frequency using a Simple Scaling Model

    Soltani, Saeid   Helfi, Razi   Almasi, Parisa   Modarres, Reza  

    Design storm is one of the most important tools to design hydraulic structures, hydrologic system and watershed management, mostly extracted by intensity-duration - frequency (IDF) curves for a given specific duration and return period. As for conventional methods to calculate IDF curves, the precipitation should be recorded for different durations so that foregoing curves can be extracted. Such data can be collected from rain gauge stations. In many areas, just daily precipitation data are available by which IDF curves cannot be extracted as per conventional methods. The aim of this research is to make IDF curves for short-term durations according to time scaling model as well as daily rainfalls. The relationships of this method are characterized with three variables including mean (mu(24)) and standard deviation (sigma(24)) of daily rainfall intensity, and scaling exponent (H) by which all IDF curves might be drawn. The method used in present paper entails for less computational steps than conventional methods and by far has low parameters considerably than others in turn increases reliability. Scaling method is used to extract the IDF curves in rain-gauge stations in Khuzestan province located in southwest Iran and results proved the efficiency and robustness of the scaling method. Also ability of scaling concept method was examined in constructing of regional IDF.
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  • Regionalization of Rainfall Intensity-Duration-Frequency using a Simple Scaling Model

    Soltani, Saeid   Helfi, Razi   Almasi, Parisa   Modarres, Reza  

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  • Assessment of the climate change impacts on flood frequency (case study:Bazoft Basin,Iran)

    Almasi, Parisa   Soltani, Saeid  

    The present study attempts to investigate potential impacts of climate change on floods frequency in Bazoft Basin which is located in central part of Iran. A combination of four general circulation models is used through a weighting approach to assess uncertainty in the climate projections. LARS-WG model is applied to downscale large scale atmospheric data to local stations. The resulting data is in turn used as input of the hydrological model Water and Energy Transfer between Soil, plants and atmosphere (WetSpa) to simulate runoff for present (1971-2000), near future (2020-2049) and far future (2071-2100) conditions. Results demonstrate good performance of both WetSpa and LARS-WG models. In addition in this paper instantaneous peak flow (IPF) is estimated using some empirical equations including Fuller, Sangal and Fill-Steiner methods. Comparison of estimated and observed IPF shows that Fill-Steiner is better than other methods. Then different probability distribution functions are fit to IPF series. Results of flood frequency analysis indicate that Pearson III is the best distribution fitted to IPF data. It is also indicated that flood magnitude will decrease in future for all return periods.
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  • Assessment of Flood Damage on Humans,Infrastructure,and Agriculture in the Ghamsar Watershed Using HEC-FIA Software

    Mokhtari, Fahimeh   Soltani, Saeid   Mousavi, Seyed Alireza  

    Floods, as one of the most catastrophic events among the wide variety of natural hazards, impose considerable damage to humans, infrastructure, and industrial and agricultural sites. To identify flooding-prone areas and having knowledge on occurrence probability or return period of flood events can be promising for planning and alleviation of damage caused by this natural phenomenon. This paper seeks to assess flood risk in the Ghamsar watershed, so cross sections were plotted using a digital elevation model (DEM) and stream geometric data in the Hydrologic Engineering Center's Geospatial Processing Data for River Analysis System (HEC-GeoRAS). The output was transferred to the Hydrologic Engineering Center's River Analysis System (HEC-RAS) and flooded area with different return periods with data created by an unstable simulation in the Ghamsar River. These results together with field data collected from region were entered into the Hydrologic Engineering Center's Flood Impact Analysis (HEC-FIA) software and flood damage was estimated. Results showed that 3.23 ha of cultivated lands will be subject to damage ($378,358.99). As for infrastructure, a number of 36 buildings units surrounding the river will be subject to floods and at the same time the flood causes some causalities. The results of this research can be used in development plans and the construction sector in order to alleviate damage caused by floods in urban and rural areas and floodplains and for river bank conservation.
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  • Determining Air Pollution Potential Using Geographic Information Systems and Multi-criteria Evaluation:A Case Study in Isfahan Province in Iran

    Karimi, Hazhir   Soffianian, Alireza   Mirghaffari, Nourollah   Soltani, Saeid  

    This paper presents a methodology of determining the air pollution potential based on pollutant source identification and meteorological parameters, using as a case study the Isfahan Province in Iran. First, taking the county as the evaluation unit, the regional air pollution information system database of Isfahan Province was established, supported by Geographic Information Systems. Then, the air pollution potential of the study area was assessed based on the analysis of regional air pollution, review of available literature, seeking advice from experts, and using determining factors such as population density, traffic, industries, wind speed, precipitation, temperature and humidity. A layer for each factor was prepared in GIS. After data acquisition, criteria were set and weighted by experts. Finally, all criteria were integrated using the Weighted Linear Combination method to obtain the spatial distribution of air pollution potential. The results showed that 55% of the total land area in Isfahan Province maintains a high to moderate level of air pollution potential resulting from unsuitable meteorological conditions along with high density of emissions from human activities. However, winds counteract the serious air pollution in some parts. The results suggest that very strict air quality management is needed in days of low wind speed, especially at places of increased air pollution resulting from human activities.
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  • Evaluating the variability of ANPP in central Iranian arid and semi-arid rangelands using CASA model and its relationship with climatic factors

    Saki, Marjan   Soltani, Saeid   Esfahani, Mostafa Tarkesh   Jafari, Reza  

    Aboveground Net Primary Production (ANPP) plays an important role in regulating ecological processes and carbon cycle in arid and semi-arid rangelands. Hence, this study aimed to investigate the spatio-temporal variability of rangeland ANPP in seven bioclimatic zones in Isfahan Province using the Carnegie-Ames-Stanford Approach (CASA) ecosystem model fitted with MODIS-NDVI and climatic data during 2000-2016. The model evaluation indicated a good agreement between the estimated and observed ANPP (R-2 =3D 0.917). In concomitant with the precipitation gradient, the mean annual ANPP increased from east towards west and southwest of the region from zero to 160 g C m(-2) yr(-1). The maximum and minimum ANPP values occurred in humid and cold as well as hyper-arid and warm zone, respectively. The annual temporal variability of ANPP was analyzed in response to climatic factors (precipitation and temperature), Temperature Vegetation Dryness Index (TVDI) and Standard Precipitation Index (SPI) drought indices. The drought was found as the most important factor affecting ANPP. The minimum and maximum ANPP values were observed in 2000 (23.23 g C m(-2) yr(-1)) and 2014 (41.73 g C m(-2) yr(-1)). The maximum ANPP occurred in May and June during which temperature, as an important factor in plant growth, reached its optimum and precipitation affected with a time lag. The annual rangeland ANPP was positively associated with precipitation and negatively with temperature.
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