scholarly journals Rainfall-runoff modeling at different spatial scales: Application of semi-distributed hydrological modeling in the Godavari River Basin, India

2021 ◽  
Author(s):  
Vimal Chandra Sharma ◽  
Satish Regonda
Keyword(s):  
River Basin ◽  
Hydrological Modeling ◽  
Spatial Scales ◽  
Rainfall Runoff ◽  
Godavari River ◽  
Distributed Hydrological Modeling ◽  
Runoff Modeling

scholarly journals Rainfall-Runoff Modeling Using NRCS-CN method and GIS approach

2020 ◽  
Author(s):  
Rekha Verma ◽  
Azhar Husain ◽  
Mohammed Sharif
Keyword(s):  
Hydrological Modeling ◽  
Curve Number ◽  
Geographical Information ◽  
Rainfall Runoff ◽  
Moisture Condition ◽  
Natural Resource Conservation ◽  
Antecedent Moisture ◽  
Natural Resource Conservation Service ◽  
Runoff Modeling ◽  
Runoff Depth

Rainfall-Runoff modeling is a hydrological modeling which is extremely important for water resources planning, development, and management. In this paper, Natural Resource Conservation Service-Curve Number (NRCS-CN) method along with Geographical Information System (GIS) approach was used to evaluate the runoff resulting from the rainfall of four stations, namely, Bilodra, Kathlal, Navavas and Rellawada of Sabarmati River basin. The rainfall data were taken for 10 years (2005-2014). The curve number which is the function of land use, soil and antecedent moisture condition (AMC) was generated in GIS platform. The CN value generated for AMC- I, II and III were 57.29, 75.39 and 87.77 respectively. Using NRCS-CN method, runoff depth was calculated for all the four stations. The runoff depth calculated with respect to the rainfall for Bilodra, Kathlal, Navavas and Rellawada shows a good correlation of 0.96. The computed runoff was compared with the observed runoff which depicted a good correlation of 0.73, 0.70, 0.76 and 0.65 for the four stations. This method results in speedy and precise estimation of runoff from a watershed.

scholarly journals Evaluation of upper Uruguay river basin (Brazil) operational flood forecasts

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Fernando Mainardi Fan ◽  
Paulo Rógenes Monteiro Pontes ◽  
Diogo Costa Buarque ◽  
Walter Collischonn
Keyword(s):  
River Basin ◽  
Power Plants ◽  
Performance Metrics ◽  
Hydroelectric Power ◽  
Rainfall Runoff ◽  
Runoff Modeling ◽  
Forecasting System ◽  
The Difference ◽  
And Performance ◽  
Uruguay River

ABSTRACT System for hydrological forecasting and alert running in an operational way are important tools for floods impacts reduction. The present study describes the development and results evaluation of an operational discharge forecasting system of the upper Uruguay River basin, sited in Southern Brazil. Developed system was operated every day to provide experimental forecasts with special interest for Barra Grande and Campos Novos hydroelectric power plants reservoirs inflow, with 10 days in advance. We present results of inflow forecasted for floods occurred between July 2013 to July 2016, the period which the system was operated. Forecasts results by visual and performance metrics analysis showed a good fit with observations in most cases, with possibility of floods occurrence being well predicted with antecedence of 2 to 3 days. Comparing the locations, it was noted that the sub-basin of Campos Novos, being slower in rainfall-runoff transformation, is easier forecasted. The difference in predictability between the two basins can be observed by the coefficient of persistence, which is positive from 12h in Barra Grande and from 24h to Campos Novos. These coefficient values also show the value of the rainfall-runoff modeling for forecast horizons of more than one day in the basins.

Rainfall-runoff modeling considering soil moisture accounting algorithm, case study: Karoon III River basin

2016 ◽  
Vol 43 (4) ◽  
pp. 699-710 ◽  
Author(s):  
Homa Razmkhah ◽  
Bahram Saghafian ◽  
Ali-Mohammad Akhound Ali ◽  
Fereydoun Radmanesh
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Rainfall Runoff ◽  
Soil Moisture Accounting ◽  
Runoff Modeling

scholarly journals Rainfall Runoff Modeling Using HEC-HMS: The Case of Awash Bello Sub-Catchment, Upper Awash Basin, Ethiopia

2020 ◽  
Vol 9 (1) ◽  
pp. 68-86
Author(s):  
Wana Geyisa Namara ◽  
Tamane Adugna Damise ◽  
Fayera Gudu Tufa
Keyword(s):  
Hydrological Modeling ◽  
Meteorological Data ◽  
Base Flow ◽  
Flood Routing ◽  
Coefficient Of Determination ◽  
Physical Parameters ◽  
Hydrological Response ◽  
Rainfall Runoff ◽  
Calibration And Validation ◽  
Runoff Modeling

Rainfall runoff modeling is one of the most complex hydrological modeling due to the involvement of different watershed physical parameters. It is essential for the analysis of watershed hydrological response toward the received precipitation under the influence of watershed parameters. As it is a replica of watershed hydrological response, rainfall runoff modeling is essential to evaluate the general characteristics of total surface runoff at catchment’s outlet.  The main objective of this study was rainfall runoff modeling using HEC-HMS for Awash Bello sub-catchment. Hydro-meteorological data collected from the National Meteorological Agency and Ministry of Water Resource, Irrigation and Electricity were used for model calibration and validation.  SCS-CN, SCS-UH, Muskingum and monthly constant method were used for precipitation loss modeling, transform modeling, flood routing and base flow modeling respectively. Nash Sutcliff Efficiency and coefficient of determination have been selected for model performance evaluation. The model had shown good performance both during calibration and validation with (NSE = 0.855, R2= 0.867) for calibration and (NSE = 0.739, R2 = 0.863) for validation respectively. PBIAS for calibration and validation were checked and they were within the acceptable range with a value of 4.59% and 5.67% respectively. By the successful accomplishing of calibration and validation, the peak flood from the model (573.7m3/s) was compared with direct observed flow (546.4m3/s) and model provided nearly the same result with the direct observed flow.

scholarly journals The GEOframe-NewAge Modelling System Applied in a Data Scarce Environment

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 86
Author(s):  
Marialaura Bancheri ◽  
Riccardo Rigon ◽  
Salvatore Manfreda
Keyword(s):  
Hydrological Modeling ◽  
Model Parameters ◽  
Control Points ◽  
Rainfall Runoff ◽  
Entire Region ◽  
Web Based ◽  
Basilicata Region ◽  
Distributed Hydrological Modeling ◽  
Reliable Parameter ◽  
Good Agreement

In this work, the semi-distributed hydrological modeling system GEOframe-NewAge was integrated with a web-based decision support system implemented for the Civil Protection Agency of the Basilicata region, Italy. The aim of this research was to forecast in near real-time the most important hydrological variables at 160 control points distributed over the entire region. The major challenge was to make the system operational in a data-scarce region characterized by a high hydraulic complexity, with several dams and infrastructures. In fact, only six streamflow gauges were available for the calibration of the model parameters. Reliable parameter sets were obtained by simulating the hydrological budget and then calibrating the rainfall-runoff parameters. After the extraction of the flow-rating curves, six sets of parameters were obtained considering the different streamflow components (i.e., the baseflow and surface runoff) and using a multi-site calibration approach. The results show a good agreement between the measured and modeled discharges, with a better agreement in the sections located upstream of the dams. Moreover, the results were validated using the inflows measured at the most important dams (Pertusillo, San Giuliano and Monte Cotugno). For rivers without monitoring points, parameters were assigned using a principle of hydrological similarity in terms of their geology, lithology, and climate.

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