جستجوی مقالات مرتبط با کلیدواژه « arc swat » در نشریات گروه « آبخیزداری، بیابان، محیط زیست، مرتع »

In the present study, the ARC SWAT model in ARC GIS software was used to model the Zolachai watershed in the city of Salmas (Chehric Alia). For sensitivity analysis, calibration, SPSS statistical software was used. In the model used from precipitation data, minimum temperature, maximum temperature and daily relative humidity of rain gauge and synoptic stations in the study area for 35 years (1984 to 2019), for five statistical periods of 7 years, for April, October and November used. To calibrate the ARC SWAT model in SPSS statistical software, indices of uncertainty, coefficient of determination, standard deviation, significance level and Fisher-in-law coefficient were used. The results of the uncertainty index for April, October and November were 0.8, 0.30 and 0.5 percent, respectively, and the watershed determination coefficient index for these three months was 0.0114, 0.5788 and 0.1551, respectively. Showed the percentage the standard deviation index was 0.97 percent for April, 07.07 percent for October and 1.09 percent for November. Significance level index for these three months showed 0.87 percent Fisher Sandkor coefficient as one of the important indicators of watershed validation for each quarter showed a number of 0.91 percent.

Today SEA is one of the most important tools on which environmental considerations can be institutionalized in the planning system. In this regard, it is important to select the effect of scale jumps on the process of SEA. Therefore, in this study, with using the favor of spatial scale 1:250000 and satellite imagery ASTER and SRTM in the first order Persian Gulf and Omman sea watershed an attempt has been made to test whether SEA outputs are aligned with macro policies and to increase the scale in the spatial dimension. In this regard, first by inputting raw data of digital elevation model in Arc SWAT extension in Arc map software and processing their related calculations HRUs and then, introduce the 11 year climatic data to the SWAT model and implement (RUN) SWAT model at different spatial scales. The results showed that re-sizing the digital elevation model had a significant effect in the first order Persian Gulf and Omman sea watershed.