Climatology
Hosein Rahmati; Samad Gholizadeh; Hosein Ansari
Abstract
Accurate estimation of watershed runoff has a crucial role in its management. Until now many researchers used different models such as integrated and distributed models, and also artificial intelligent methods to estimate basin runoff. For this purpose in this study for estimation the runoff of Bara-Ariye ...
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Accurate estimation of watershed runoff has a crucial role in its management. Until now many researchers used different models such as integrated and distributed models, and also artificial intelligent methods to estimate basin runoff. For this purpose in this study for estimation the runoff of Bara-Ariye basin with an area of 112 km2 and average annual rainfall of 306.72mm, two different models namely WetSpa and artificial neural network (ANN) were used. To run of the WetSpa model two categories of information, including raster maps and metrological data and for ANN model only meteorological data were used. The 5 years data were used to simulation runoff of Bara-Ariye basin. The statistical parameters such as correlation coefficient (R2), the square of the standard error of the mean (RMSE) and mean absolute error (MAE) were used for comparison results of two models. The results indicated that the WetSpa model with R2 and RMSE equal to 0.920 and 0.346 m3/s and also ANN model with R2 and RMSE equal to 0.959 and 0.310 m3/s have the ability to simulate runoff of Bara Ariye River. Also using neural network model reduced the error estimation of watershed runoff 11.6% compared with the WetSpa model.
Ahad Habibzadeh; Mohammadreza Nikjoo; Hamidreza Peyrovan
Volume 17, Issue 43 , October 2013, , Pages 79-91
Abstract
Marl units in territory-watershed basin in East Azerbaijan province have expanded significantly, and cause natural malformation, including soil erosion, erosion facieses types (surface, rill-gully) and sedimentation in the basin. In this study, digitized geological stratigraphy and lithology maps that ...
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Marl units in territory-watershed basin in East Azerbaijan province have expanded significantly, and cause natural malformation, including soil erosion, erosion facieses types (surface, rill-gully) and sedimentation in the basin. In this study, digitized geological stratigraphy and lithology maps that were prepared. Marlstone regions were drawn, Accordingly, three units, including Eocene, Miocene and Cretaceous marlstone were determined. The climate and slope maps of the province were crossed in GIS system and ILwis software and final maps of the area and working units were determined. Amount of runoff and sediment on marlstone regions were measured using artificial showers. Results indicated that the correlation coefficient of topographic slope was equal to the amount of runoff 0.479 and the statistical significance of their relationship together. Simple correlation coefficient between runoff and sediment calculated to be (0.452) and their relationship was acceptable was significantly meaningful. Correlation coefficient between the amount of sediment from soil erosion caused by rain instrument with organic carbon neutral materials were equal to -0.374 and are -0.382.
