Hydrologic modelling of a complex hydrogeologic basin: Evrotas River Basin

2011 ◽  
pp. 179-186 ◽  
Author(s):  
O. Tzoraki ◽  
V. Papadoulakis ◽  
A. Christodoulou ◽  
E. Vozinaki ◽  
N. Karalemas ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrologic Modelling

scholarly journals Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia

2020 ◽  
Author(s):  
Gizachew Kabite Wedajo ◽  
Misgana Kebede Muleta ◽  
Berhan Gessesse Awoke
Keyword(s):  
Performance Evaluation ◽  
River Basin ◽  
Rainfall Variability ◽  
Spatiotemporal Variability ◽  
Analysis Tool ◽  
Hydrologic Simulation ◽  
Hydrologic Modelling ◽  
Rain Gauges ◽  
Groundwater Flux ◽  
Many Sources

Abstract. Precipitation is a crucial driver of hydrological processes. Ironically, reliable characterization of its spatiotemporal variability is challenging. Ground-based rainfall measurements using rain gauges can be more accurate. However, installing a dense gauging network to capture rainfall variability can be impractical. Satellite-based rainfall estimates (SREs) can be good alternatives, especially for data-scarce basins like in Ethiopia. However, SREs rainfall is plagued with uncertainties arising from many sources. The objective of this study was to evaluate the performance of the latest versions of several SREs products (i.e., CHIRPS2, IMERG6, TAMSAT3, and 3B42/3) for the Dhidhessa River Basin (DRB). Both statistical and hydrologic modelling approaches were used for performance evaluation. The Soil and Water Analysis Tool (SWAT) was used for hydrological simulations. The results showed that whereas all four SREs products are promising to estimate and detect rainfall for the DRB, the CHIRPS2 dataset performed the best at annual, seasonal, and monthly timescales. The hydrologic simulation-based evaluation showed that SWAT's calibration results are sensitive to the rainfall dataset. The hydrologic response of the basin is found to be dominated by the subsurface processes, primarily by the groundwater flux. Overall, the study showed that both CHIRPS2 and IMERG6 products can be reliable rainfall data sources for hydrologic analysis of the Dhidhessa River Basin.

scholarly journals A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)

2014 ◽  
Vol 14 (11) ◽  
pp. 2899-2920 ◽  
Author(s):  
O. Laganier ◽  
P. A. Ayral ◽  
D. Salze ◽  
S. Sauvagnargues
Keyword(s):  
River Basin ◽  
Hydrologic Model ◽  
Hydraulic Model ◽  
Strong Impact ◽  
Hydrologic Modelling ◽  
Hydraulic Models ◽  
Saint Venant Equations ◽  
Flooded Area ◽  
Average Size ◽  
The Impact

Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models have been developed, and allow modelling of these floods. However, these approaches often concern average-size basins of a few hundred km2. At larger scales (>1000 km2), coupling of hydrologic and hydraulic models appears to be an adapted solution. This study has as its first objective the evaluation of the performances of a coupling of models for flood hydrograph modelling. Secondly, the coupling results are compared with those of other modelling options. The aim of these comparisons is to clear up the following points. (1) Is a simplified routing model (lag and route) as efficient as a full hydraulic model for the modelling of hydrographs, in the intermediary downstream part of the stream? (2) Is adding lateral inflows necessary for all studied events? (3) What is the impact of the qualities of upstream hydrologic modelling feeding the coupling? The coupling combines the SCS–LR (Soil Conservation Service–lag-and-route) hydrologic model of the ATHYS platform and the MASCARET 1-D hydraulic model based on full Saint-Venant equations. It is applied to the Gardon River basin (2040 km2) in the south of France. For the seven studied events, the results of the coupling are satisfactory, the calculated Nash indexes varying between 0.61 and 0.97. The comparisons with the other modelling options show the important role of the spatial distribution of rains during events: when rains are centered on the intermediary downstream part of the catchment, adding lateral inflows is necessary; when rains are more important in the upstream part, the quality of the hydrologic modelling upstream of the coupling has a strong impact. Furthermore, the used coupling of models seems well adapted for water rising and flooded area forecasting. The future developments of the tool will concentrate on this point.

scholarly journals Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin

2021 ◽  
Vol 13 (8) ◽  
pp. 1590
Author(s):  
Cassandra Nickles ◽  
Edward Beighley
Keyword(s):  
Time Series ◽  
River Basin ◽  
Mississippi River ◽  
Large Scale ◽  
Area Ratio ◽  
River Network ◽  
Drainage Area ◽  
Ratio Method ◽  
Mississippi River Basin ◽  
Hydrologic Modelling

The upcoming Surface Water and Ocean Topography (SWOT) mission will measure rivers wider than 50–100 m using a 21-day orbit, providing river reach derived discharges that can inform applications like flood forecasting and large-scale hydrologic modelling. However, these discharges will not be uniform in time or coincident with those of neighboring reaches. It is often assumed discharge upstream and downstream of a river location are highly correlated in natural conditions and can be transferred using a scaling factor like the drainage area ratio between locations. Here, the applicability of the drainage area ratio method to integrate, in space and time, SWOT-derived discharges throughout the observable river network of the Mississippi River basin is assessed. In some cases, area ratios ranging from 0.01 to 100 can be used, but cumulative urban area and/or the number of dams/reservoirs between locations decrease the method’s applicability. Though the mean number of SWOT observations for a given reach increases by 83% and the number of peak events captured increases by 100%, expanded SWOT sampled time series distributions often underperform compared to the original SWOT sampled time series for significance tests and quantile results. Alternate expansion methods may be more viable for future work.

scholarly journals Statistical and spatial variability of climate data in the Mareb-Gash river basin in Eritrea

Vestnik MGSU ◽  
2020 ◽  
pp. 85-99
Author(s):  
Anghesom A. Ghebrehiwot ◽  
Dmitriy V. Kozlov
Keyword(s):  
River Basin ◽  
Potential Evapotranspiration ◽  
Statistical Analyses ◽  
Estimation Methods ◽  
Drought Indices ◽  
Climate Data ◽  
Hydrologic Modelling ◽  
Monotonic Trend ◽  
Dry Conditions ◽  
Global Reanalysis

Introduction. Global reanalysis products are extensively used for hydrologic applications in sparse data regions. The establishment of inputs for hydrologic modelling from such global reanalysis requires prior checking and analyses. Materials and methods. The present study attempts to utilize Climate Forecast System Reanalysis (CFSR) datasets for the Mereb-Gash river basin in Eritrea, to prepare the input data for forthcoming hydrological modelling studies. The activities include statistical analyses, computation of PET, and drought indices using different methods so as to understand basin characteristics through the use of geospatial and geostatistical tools. Results. The results of statistical analyses indicated that there was predominantly a significant monotonic trend in the majority of the data. Precipitation (P) and relative humidity tend to decrease, whereas temperature (T) and potential evapotranspiration (PET) tend to increase. Among the PET estimation methods, the Thornthwaite method gave inconsistent results as compared to Hargreaves and Penman-Monteith methods, the former being highly dependent on the elevation of the station. In most cases, it was found that Penman-Monteith produced the highest PET values. Conclusions. Besides, Standardized Precipitation and Evapotranspiration Index (SPEI) analyses in the basin indicate persistent dry conditions over the period 2000–2013 and predominantly humid conditions over the period 1979–2000. The study concluded that the presence of a significant trend in most of the climatic variables and persistent drought conditions in recent years were found to be congruent with global and regional climatic studies that are highly likely linked to human and climate influence on the environment.

scholarly journals Runoff changes in areas differing in land-use in the blanice river basin - application of the deterministic model

2009 ◽  
Vol 57 (3) ◽  
pp. 154-161 ◽  
Author(s):  
Michal Jeníček
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Deterministic Model ◽  
Initial Conditions ◽  
Hydrological Regime ◽  
Curve Number ◽  
Hydrologic Modelling ◽  
Lumped Model ◽  
Runoff Changes

Runoff changes in areas differing in land-use in the blanice river basin - application of the deterministic modelThe aim of this article is to present partial results of more extensive research which is focused on using different methods for runoff computation in areas differing in land use. With the help of the deterministic lumped model HEC-HMS (Hydrologic Engineering Center - Hydrologic Modelling System) several simulations of r noff changes by different basin conditions were carried out. The Blanice River basin in the Šumava Mts. was chosen as an experimental catchment in its closure profile in Podedvory (gauge station, area 209.6 km2). For assessment of land cover changes impact on hydrological regime four scenarios were carried out - 10, 20, 50 and 100-year 1-day probability precipitation in combination with different initial conditions (soil saturation). These scenarios were applied to the stage of the land cover in the year 1992 and 2000 (based on the CORINE Landcover database). The method SCS CN (Soil Conservation Service Curve Number) was applied as the main model technique.

Effectiveness of Ubol Ratana and Lam Pao Reservoirs for Flood Mitigation in the Downstream Area of the Chi River Basin Using HEC-HMS Model

2014 ◽  
Vol 931-932 ◽  
pp. 785-790 ◽  
Author(s):  
Kittiwet Kuntiyawichai
Keyword(s):  
River Basin ◽  
Monsoon Season ◽  
Flood Mitigation ◽  
Water Release ◽  
Hydrologic Modelling ◽  
Attenuation Effect ◽  
Flood Peak ◽  
Viable Solution ◽  
Risk Reduction Measures ◽  
Downstream Area

The Chi River Basin is vulnerable to flooding due to its location in the pathway of tropical storms during the monsoon season, flat topography, large proportion area of community settlements and agricultural activities and poor management of water release from dams. Since there is still a lack of lasting viable solution to flooding problems, an insight into detailed aspects of flood alleviation needs to be addressed. The objective of this study was to perform rainfall-runoff analysis using Hydrologic Modelling System (HEC-HMS) model in order to assess the effectiveness of Ubol Ratana and Lam Pao reservoirs for flood mitigation in the downstream area of the Chi River Basin. A scenario-based study that investigates the attenuation of flood peak discharge downstream of the Chi River Basin for the year 2001 was presented. Water storing and releasing scenarios from different reservoirs were designed to cover possible situations. The HEC-HMS model was used to simulate the attenuation effect of downstream flood hydrograph. The simulated results showed that the decrease of releasing water from Ubol Ratana and Lam Pao reservoirs by 10, 30 and 50 % during the wet year (2001), affected the decrease of peak flood by 5.86%, 17.57%, and 26.59%, respectively. In conclusion, reducing existing reservoir releases should be considered as part of proactive flood risk reduction measures, and the HECHMS model is able to describe the hydrological processes through underlying physical and mathematical relations.

scholarly journals HYDROLOGIC AND HYDRAULIC MODELLING INTEGRATED WITH GIS: A STUDY OF THE ACARAÚ RIVER BASIN – CE

2015 ◽  
pp. 167-174 ◽  
Author(s):  
Samuellson Cabral ◽  
José Nilson B. Campos ◽  
Cleiton Silveira
Keyword(s):  
River Basin ◽  
Substantial Portion ◽  
Hydraulic Modelling ◽  
Hydrologic Models ◽  
Computational Tools ◽  
Hydrologic Modelling ◽  
Hydraulic Models ◽  
Flood Model ◽  
Flooded Areas

The paper presents a case study integrating hydrologic models, hydraulic models and a geographic information system (GIS) to delineate flooded areas in the medium-sized Acaraú River Basin in Ceará State, Brazil. The computational tools used were HEC-HMS for hydrologic modelling, HEC-RAS for hydraulic modelling and HEC-GeoRAS for the GIS. The results showed that a substantial portion of the riverine populations of the cities of Sobral, Santana do Acaraú and Groairas were affected by floods. Overall, the flood model satisfactorily represents the affected areas and shows the locations with the greatest flooding.

scholarly journals Calibration and Validation of HEC-HMS Model for Chalakudy River Basin

2021 ◽  
pp. 91-104
Author(s):  
Gudidha Gopi ◽  
K. P. Rema
Keyword(s):  
River Basin ◽  
Stream Flow ◽  
Predictive Ability ◽  
Curve Number ◽  
Percentage Error ◽  
Runoff Simulation ◽  
Hydrologic Modelling ◽  
Time To Peak ◽  
Correct Estimation ◽  
The Impact

Prediction of flood prone areas in a basin and evolution of the impact of climate change on water resources needs a correct estimation of the availability of water which will solely be achieved by hydrological modelling of the basin. However, modelling the hydrology of a basin is a complex task and models should be well calibrated to increase user confidence in its predictive ability which in turn makes the application of the model effective. In this study rainfall-runoff simulation model viz., Hydrologic Modelling System, developed by the Hydrologic Engineering Centre USA (HEC-HMS) has been calibrated and validated for Chalakduy river basin in Kerala, in Sothern India for prediction of its hydrologic response. The result shows Curve Number (CN), Lag time and initial abstraction (Ia) to be the sensitive parameters for the simulated stream flow. The statistical analysis of Nash-Sutcliffe model efficiency criteria, the percentage error in peak, percentage error in volume, and net difference of observed and simulated time to peak, which were used for performance evaluation, have been found to range from (0.70 to 0.87), (4.39 to 19.47%), (1.9 to 19%) and (0 to 1day) respectively, indicating a very good performance of the model for simulation of stream flow.

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