scholarly journals MODELLING RAINFALL-RUNOFF PROCESS FOR SUB CATCHMENT OF NARMADA RIVER BASIN AT HOSHANGABAD USING SEMI DISTRIBUTED MODEL HBV

2021 ◽  
Author(s):  
abhishek vats ◽  
Derric Denis
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
Coefficient Of Determination ◽  
Distributed Model ◽  
Rainfall Runoff ◽  
Plain Area ◽  
Narmada River ◽  
Sensitive Parameters ◽  
Hbv Model

In this study, the light version of Hydrologiska Byrans Vattenbalansavdelning hydrological model (HBV), has been used to synthesize river discharge and daily flow series for twelve years in the sub catchments of the Narmada river basin at Hoshangabad. The plain area of Narmada river basin at Hoshangabad is used for this study,with a drainage area of 10594 km2 and co-ordinates lies between 22°46’Nand 77°43’E.The model was run using twelve years data. Parametrization of parameters were obtained after warming, calibration and validating the results. There after the sensitivity analysis was done and acceptable range for each parametrized parameter was obtained. The Coefficient of Determination of observed and simulated discharge at the Hoshangabad was found to be 0.84. In Narmada River Basin at Hoshangabad hydrologicalmodeling using the HBV model, MAXBAS is the most sensitive parameter. The sensitive parameters from high to low along with their slopes values are Maxbas: 0.23, Alpha: 0.018, Fc: 0.012, K1:0.010, Beta: 0.008, K2: 0.005, Perc: 0.001 and Lp 0.001. The study shows that light version of the HBV model can be used to model the runoff of the sub catchment of the Narmada river basin at Hoshangabad.

scholarly journals Rainfall-Runoff Modeling Using the HEC-HMS Model for the Al-Adhaim River Catchment, Northern Iraq

Hydrology ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 58
Author(s):  
Ahmed Naseh Ahmed Hamdan ◽  
Suhad Almuktar ◽  
Miklas Scholz
Keyword(s):  
Geographical Information Systems ◽  
Hydrological Model ◽  
Daily Rainfall ◽  
Curve Number ◽  
Geographical Information ◽  
Coefficient Of Determination ◽  
Rainfall Runoff ◽  
Time Step ◽  
River Catchment ◽  
Northern Iraq

It has become necessary to estimate the quantities of runoff by knowing the amount of rainfall to calculate the required quantities of water storage in reservoirs and to determine the likelihood of flooding. The present study deals with the development of a hydrological model named Hydrologic Engineering Center (HEC-HMS), which uses Digital Elevation Models (DEM). This hydrological model was used by means of the Geospatial Hydrologic Modeling Extension (HEC-GeoHMS) and Geographical Information Systems (GIS) to identify the discharge of the Al-Adhaim River catchment and embankment dam in Iraq by simulated rainfall-runoff processes. The meteorological models were developed within the HEC-HMS from the recorded daily rainfall data for the hydrological years 2015 to 2018. The control specifications were defined for the specified period and one day time step. The Soil Conservation Service-Curve number (SCS-CN), SCS Unit Hydrograph and Muskingum methods were used for loss, transformation and routing calculations, respectively. The model was simulated for two years for calibration and one year for verification of the daily rainfall values. The results showed that both observed and simulated hydrographs were highly correlated. The model’s performance was evaluated by using a coefficient of determination of 90% for calibration and verification. The dam’s discharge for the considered period was successfully simulated but slightly overestimated. The results indicated that the model is suitable for hydrological simulations in the Al-Adhaim river catchment.

scholarly journals A Test of Snowmelt-Runoff Model for a Major River Basin in Western Himalayas

1989 ◽  
Vol 20 (3) ◽  
pp. 167-178 ◽  
Author(s):  
B. Dey ◽  
V. K. Sharma ◽  
A. Rango
Keyword(s):  
River Basin ◽  
Lapse Rate ◽  
Western Himalayas ◽  
Rainfall Runoff ◽  
Snowmelt Runoff ◽  
Major River ◽  
Updating Procedure ◽  
Runoff Model ◽  
Kabul River

In the Snowmelt-Runoff Model (SRM), the estimate of discharge volume is based on temperature condition in the form of degree days which are used to melt the snowpack in the area of the basin covered by snow as observed from satellites. Precipitation input is used to add any rainfall runoff to the snowmelt component. When SRM was applied to the large, international Kabul River basin, initial simulations were much above the observed stream flow values. Close inspection revealed several problems in the application of SRM to the Kabul Basin that were easily corrected. Foremost among the corrections were determination of an appropriate lapse rate, substitution of a more representative mean elevation for extrapolation of temperature data, and use of an automatic streamflow updating procedure. These improvements led to a simulation for 1976 that was comparable to other simulations on large, inaccessible basins. As SRM is applied to more basins similar to the Kabul River, the determination of suitable parameters for new basin will be enhanced. Additional improvements in simulations would result from installation of climate stations at the mean elevation of basins and work to assure delivery of timely and reliable satellite snow cover data.

scholarly journals Baseflow representation module on MODCEL

RBRH ◽  
2018 ◽  
Vol 23 ◽  
Author(s):  
Pedro Lucas Cosmo de Brito ◽  
Marcelo Gomes Miguez ◽  
José Paulo Soares de Azevedo
Keyword(s):  
Groundwater Flow ◽  
Significant Contribution ◽  
Hydrological Model ◽  
Calibration Procedure ◽  
Coefficient Of Determination ◽  
Rainfall Runoff ◽  
Flood Events ◽  
Infiltration Process ◽  
Previous Version

ABSTRACT The land use characteristics of rural watersheds allow infiltration and consequent generation of groundwater flow, which constitutes a significant contribution to the hydrograph. Prior to this study, the MODCEL-COPPE/UFRJ model simulated only runoff, disregarding the losses occurred in rainfall-runoff process. Therefore, its application was more appropriate to urban watersheds, simulating flood events where surface flows prevail. This study aimed at representing the infiltration process and at incorporating the groundwater flow in the MODCEL’s structure, making feasible the rural watersheds simulation thus expanding its applicability as a hydrological model. A case study was performed in a 417 km2 subcatchment of Piabanha River, located at Petrópolis/RJ. It’s a predominantly rural watershed, with 80% of its area covered by forests. The model represented satisfactorily the seasonality and the magnitude of simulated recharges. In the parameter calibration procedure gave a coefficient of determination R2 = 0.75, comparing the calculated flows to the observed flows. During validation period, we obtained a coefficient of determination R2 = 0.76. The fit obtained was superior to that obtained in previous modeling of the same watershed by SMAP and MODCEL (previous version) and it was similar to TOPMODEL. In the hydrograph recession, new MODCEL presented R2 = 0.75, against 0.52 obtained in its previous version.

scholarly journals Application of Remotely Sensed Rainfall Data in Rainfall-Runoff Modelling. A Case of Pangani River Basin, Tanzania

2014 ◽  
Vol 35 (1) ◽  
pp. 1-14
Author(s):  
Joel Nobert ◽  
Patric Kibasa
Keyword(s):  
River Basin ◽  
Average Method ◽  
River Flow ◽  
Tropical Rainfall Measuring Mission ◽  
Rainfall Data ◽  
Coefficient Of Determination ◽  
Rainfall Runoff ◽  
Data Set ◽  
Satellite Rainfall ◽  
Areal Rainfall

Rainfall runoff modelling in a river basin is vital for number of hydrologic applicationincluding water resources assessment. However, rainfall data from sparse gauging stationsare usually inadequate for modelling which is a major concern in Tanzania. This studypresents the results of comparison of Tropical Rainfall Measuring Mission (TRMM)satellite rainfall products at daily and monthly time-steps with ground stations rainfalldata; and explores the possibility of using satellite rainfall data for rainfall runoffmodelling in Pangani River Basin, Tanzania. Statistical analysis was carried out to find thecorrelation between the ground stations data and TRMM estimates. It was found thatTRMM estimates at monthly scale compare reasonably well with ground stations data.Time series comparison was also done at daily and annual time scales. Monthly and annualtime series compared well with coefficient of determination of 0.68 and 0.70, respectively.It was also found that areal rainfall comparison in the northern parts of the study area hadpoor results compared to the rest of areas. On the other hand, rainfall runoff modellingwith ground stations data alone and TRMM data set alone was carried out using five Real-Time River Flow Forecasting System models and then outputs combined by Models OutputsCombination Techniques. The results showed that ground stations data performed betterduring calibration period with coefficient of efficiency of 76.7%, 81.7% and 89.1% forSimple Average Method, Weight Average Method and Neural Network Method respectively.Simulation results using TRMM data were 59.8%, 73.5% and 76.8%. It can therefore beconcluded that TRMM data are adequate and promising in hydrological modelling.

scholarly journals Application of SWAT (Soil and Water Assessment Tool) to the Abay River Basin of Ethiopia: The Case of Didessa Sub Basin

2018 ◽  
Author(s):  
Timketa Adula Duguma
Keyword(s):  
River Basin ◽  
Time Scale ◽  
Assessment Tool ◽  
Peak Flow ◽  
Swat Model ◽  
Distributed Model ◽  
Statistical Measures ◽  
Sensitive Parameters ◽  
Water Assessment ◽  
Soil And Water

Abstract: In this study the semi-distributed model SWAT (Soil and Water Assessment Tool), were applied to evaluate stream flow of Didessa sub basin, which is one of the major sub basins in Abay river basin of Ethiopia. The study evaluated the quality of observed meteorological and hydrological data, established SWAT hydrological model, identified the most sensitive parameters, evaluated the best distribution for flow and developed peak flow for major tributary in the sub basin. The result indicated that the SWAT model developed for the sub basin evaluated at multi hydro-gauging stations and its performance certain with the statistical measures, coefficient about determination (R2) and also Nash coefficient (NS) with values ranging 0.62 to 0.8 and 0.6 to 0.8 respectively at daily time scale. The values of R2 and NS increases at monthly time scale and found ranging 0.75 to 0.92 and 0.71 to 0.91 respectively. Sensitivity analysis is performed to identify parameters those were most sensitive for the sub basin. CN2, GWQMN, CH_K, ALPHA_BNK and LAT_TIME are the most sensitive parameters in the sub basin. Finally, the peak flow for 2-10000 returns periods were determined after the best probability distribution is identified in EasyFit computer program.

Impacts of Mid-Rainy Season Rainfall on Runoff into the Chao Phraya River, Thailand

2013 ◽  
Vol 8 (3) ◽  
pp. 397-405 ◽  
Author(s):  
Shunji Kotsuki ◽  
◽  
Kenji Tanaka ◽  
Keyword(s):  
River Basin ◽  
Land Surface ◽  
Heavy Rainfall ◽  
Rain Gauge ◽  
Coefficient Of Determination ◽  
Necessary Condition ◽  
Surface Model ◽  
Chao Phraya River ◽  
June July

In Chao Phraya River basin, the runoff at the middle basin (Nakhon Sawan station: C.2 point) is important for the prevention of lower basin floods. Through analyzing 1980 to 2011 runoff and rain gauge data and performing numerical calculations using a hydrological land surface model, this study will describe a condition that causes massive floods at the C.2 point. The main conclusions are the following: (1) In 2011, precipitation exceeding the average by about 40% caused naturalized runoff +125% (+29 billion m3) that in an average year. The massive 2011 flood would have been difficult to prevent even if the operation of the Bhumibol Dam and Sirikit Dam had been appropriate. (2) In 1980, 1995, and 2006, precipitation exceeding the average by about 10% caused naturalized runoff exceeding that of the average year by 50 to 75%. The runoff rate in the Chao Phraya River basin is about 20%, and characteristically a minor increase in precipitation results in a considerable amount of runoff. (3) There are natural flood years, which have higher than average precipitation that causes massive floods, and there are non-natural flood years, which have high precipitation but nomassive floods. In natural flood years, the precipitation in June, July, and August is higher than that in the average years, and the total water storage capacity is brought close to saturation in September. Due to this, in addition to base runoff, surface runoff increases. (4) The coefficient of the determination of observed runoff from August to October is 0.6481 for rainfall from June to August and 0.5276 for rainfall from August to October. Heavy rainfall in June, July and August has the effect of bringing the soil close to saturation, which is a necessary condition for massive flooding. Massive flooding results if this necessary condition is met and there is heavy rainfall in September and October. This finding is also supported by a high coefficient of determination of 0.7260 between rainfall in May, June, July, August, September, and October and naturalized runoff in August, September, and October.

scholarly journals ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Yongwei Liu ◽  
Wen Wang ◽  
Yuanbo Liu
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Hydrological Model ◽  
European Space Agency ◽  
Low Flow ◽  
Observation Error ◽  
Rainfall Runoff ◽  
Huai River Basin ◽  
Huai River ◽  
Streamflow Simulation

The assimilation of satellite soil moisture (SM) products with coarse resolution is promising in improving rainfall-runoff modeling, but it is largely impacted by the data assimilation (DA) strategy. This study performs the assimilation of a satellite soil moisture product from the European Space Agency (ESA) Climate Change Initiative (CCI) in a physically based semidistributed hydrological model (SWAT) in the upper Huai River basin in China, with the objective to improve its rainfall-runoff simulation. In this assimilation, the ensemble Kalman filter (EnKF) is adopted with full consideration of the model and observation error, the rescaling technique for satellite SM, and the regional applicability of the hydrological model. The results show that the ESA CCI SM assimilation generally improves the streamflow simulation of the study catchment. It is more effective for low-flow simulation, while for very high-flow/large-flood modeling, the DA performance shows uncertainty. The less-effective performance on large-flood simulation lies in the relatively low dependence of rainfall-runoff generation on the antecedent SM as during which the SM is nearly saturated and the runoff is largely dominated by precipitation. Besides, the efficiency of DA is deteriorated by the dense forest coverage and the complex topography conditions of the basin. Overall, the ESA CCI SM assimilation improves the streamflow simulation of the SWAT model in particular for low flow. This study provides an encouragement for the application of the ESA CCI SM in water management, especially over low-flow periods.

scholarly journals Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Water ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 769 ◽  
Author(s):  
Fei Teng ◽  
Wenrui Huang ◽  
Yi Cai ◽  
Chunmiao Zheng ◽  
Songbin Zou
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
Daily Rainfall ◽  
Heihe River Basin ◽  
Heihe River ◽  
Rainfall Runoff ◽  
The Heihe River Basin

scholarly journals Rainfall-Runoff Modelling of the West Rapti Basin, Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 99-107
Author(s):  
Bibek Thapa ◽  
Anusha Danegulu ◽  
Naresh Suwal ◽  
Surabhi Upadhyay ◽  
Bikesh Manandhar ◽  
...  
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Hydrological Model ◽  
Model Performance ◽  
Rain Gauge ◽  
Army Corps ◽  
Distributed Hydrological Model ◽  
Rainfall Runoff ◽  
The West ◽  
Us Army

A hydrological model helps in understanding, predicting, and managing water resources. The HEC-HMS (Centre for Hydrological Engineering - Hydrological Modelling Systems, US Army Corps of Engineers) is one of the hydrological models used to simulate rainfall-runoff and routing processes in diverse geographical areas. In this study, a semi-distributed hydrological model was developed using HEC-HMS for the West-Rapti river basin. The model was calibrated and validated at each outlet of sub-basins and used to simulate the outflow of each sub-basins of the West Rapti river basin. A total of eight rain gauge stations, five meteorological stations, and three hydrological stations, within the basin, were used. The simulated results closely matched the observed flows at the three gauging stations. The Nash-Sutcliffe Efficiency indicated the good model performance of the simulated streamflow with the observed flow at two stations and satisfactory model fit at one station. The performance based on percentage bias and root mean square error was good. This model provides a reference to study water balance, water resource management, and flooding control of the West Rapti basin and can be replicated in other basins.

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