Search published articles


Showing 4 results for Rainfall-Runoff Model
Comparison of WetSpa Distributed Hydrological Model and Adaptive Neuro-Fuzzy Inference System for Rainfall-Runoff Modeling in Kasilian Watershed
N. Dehghani , M. Vafakhah, A. R. Bahremand,
Volume 19, Issue 73 (11-2015)
Abstract

Rainfall-runoff modeling and prediction of river discharge is one important parameter in flood control and management, hydraulic structure design, and drought management. The goal of this study is simulating the daily discharge in Kasilian watershed by using WetSpa model and adaptive neuro-fuzzy inference system (ANFIS). The WetSpa model is a distributed hydrological and physically based model, which is able to predict flood on the watershed scale with various time intervals. The ANFIS is a black box model which has attracted the attention of many researchers. The digital maps of topography, land use, and soil type are 3 base maps used in the model for the prediction of daily discharge while intelligent models use available hydrometric and meteorological stations' data. The results of WetSpa model showed that this model can simulate the river base flow with Nash- Sutcliff criteria of 64 percent in the validation period, but shows less accuracy with flooding discharges. The reason for this result can be the small and short Travel time noted. This model can simulate the water balance in Kasilian watershed as well. The sensitivity analysis showed that groundwater flow recession and rainfall degree-day parameters have the highest and lowest effect on the results, respectively. Also, ANFIS with the inputs of rainfall 1-day lag and evaporation 1-day lag, with Nash-Sutcliff criteria of 80, was superior to WetSpa model with Nash-Sutcliff criteria of 24 percent in the validation period.


Determination of Sub-Basins Flow Contribution to Total Flood in Khersan River Basin
N. Tavanpour, M. Aflatooni, N. Nazari,
Volume 20, Issue 78 (1-2017)
Abstract

This research is aimed to determine the contribution of sub-basins flow to total watershed flood in Khersan river basin located in Kohkilooyeh and Boyer Ahmad province. To do this, the rainfall-runoff model HEC-HMS was used to simulate peak runoff values for 11 sub-basins. HEC-HMS input was constructed using GIS. The results suggest that the change in different return periods is accompanied by small change in prioritization of flood-potential of the sub-basins; so that for return periods of 2, 50 and 100 years, the most contributions came from sub-basins 1 through 11, respectively. With respect to area and flow rate, contribution of sub-basins to watershed total flow was different. The effect of area was between 0.31 to 1.03 percent; namely, sub-basin 6 showed the highest rank and basin 7 showed the lowest one. With respect to peak flow rate, the effect of individual exclusion of sub-basins, resulted in contribution between 51.2 to 1004.2 m3/s, that is, sub-basin 6 showed the lowest effect and the sub basin 11 showed the highest contribution.


Simulation Effects of Soil and Water Conservation in Rangelands on Runoff Characteristics Using HEC-HMS Model (A Case Study: Rangelands of Meikhoran Watershed, Kermanshah Province)
S. Parvini, Z. Jafarian, A. Kavian,
Volume 22, Issue 2 (9-2018)
Abstract
Due to the lack of necessary equipment for measuring and recording changes in watershed runoff and flood situation after the implementation of corrective actions, using hydrologic models is considered as an efficient tool to assess the undertaken actions and simulate the behavior of the watershed before and after the implementation of these measures. The present study aimed to simulate the effects of corrective actions on runoff components using HEC- HMS hydrological models in the form of a rangeland and watershed plan in 2006 and the predicting plan of applicable operations in a region in the Meikhoran watershed, Kermanshah. For this purpose, three scenarios including the conditions before running the rangeland and watershed plan, the conditions after running the project and requirements and enforcement actions resulting from the proposed location map were considered in the spring of 2006. First, a map of the curve number (CN) changes was prepared under all three scenarios caused by the vegetation changes and by implementing HEC-HMS model, the curve number criteria, the peak discharge and flood volume were determined to assess the changes in hydrological basins and their values for all three scenarios were calculated and compared. The results showed that the HEC- HMS model for the base period (first scenario) with Nash-Sutcliffe coefficient 0/551 and the coefficient of determination 0/63 had an acceptable accuracy in predicting runoff. Nash-Sutcliffe coefficient for the second and third scenarios was 766/0 and 0/777, respectively. Also, the results showed that in the second scenario,  there was an 8/85 and 7/74% decrease in the peak flows and runoff volumes, respectively,  and these values for the proposed operation were estimated to be 12.84% and 6.33%, respectively. Overall, the results indicated the considerable impact of rangelands and watershed management (third scenario) on the reduction of effective runoff components, particularly flood peak, on the basis of the location model.

Performance Assessment of Five Water Balance Models for Runoff Simulation in the Gorganrood Watershed
F. Daechini, M. Vafakhah, V. Moosavi, M. Zabihi Silabi,
Volume 26, Issue 2 (9-2022)
Abstract
Surface runoff is one of the most significant components of the water cycle, which increases soil erosion and sediment transportation in rivers and decreases the water quality of rivers. Therefore, accurate prediction of hydrological response of watersheds is one of the important steps in regional planning and management plans. In this regard, the rainfall-runoff modeling helps hydrological researchers, especially in water engineering sciences.  The present study was conducted to analyze the rainfall-runoff simulation in the Gorganrood watershed located in northeastern Iran using AWBM, Sacramento, SimHyd, SMAR, and Tank models. Daily rainfall, daily evapotranspiration, and daily runoff of seven hydrometric stations in the period of 1970-2010 and 2011-2015 were used for calibration and validation, respectively. The automated calibration process was performed using genetic evolutionary search algorithms and SCE-UA methods, using Nash Sutcliffe Efficiency (NSE) and root mean of square error (RMSE) evaluation criteria. The results indicated that the SimHyd model with NSE of 0.66, TANK model using Genetic Algorithm and SCE-UA methods with NSE of 0.67 and 0.66, and Sacramento model using genetic algorithm and SCE-UA methods with NSE of 0.52 and 0.55 have the best performance in the validation period.

Page 1 from 1     

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb