Runoff responses at different watershed scales in semi arid region: exploration of a developed rainfall runoff model (Merguellil and Skhira watershed, Central Tunisia)

2013 ◽  
Vol 6 (3) ◽  
pp. 127-136 ◽  
Author(s):  
Sameh Chargui ◽  
Hana Gharbi ◽  
Mohamed Slimani
Keyword(s):  
Arid Region ◽  
Rainfall Runoff ◽  
Central Tunisia ◽  
Rainfall Runoff Model ◽  
Semi Arid Region ◽  
Runoff Model ◽  
Semi Arid

scholarly journals Intercomparison of process-based physical and mathematical models in data-scarce semi-arid region of Eritrea

2021 ◽  
pp. 86-112
Author(s):  
Keyword(s):  
Assessment Tool ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Semi Arid Region ◽  
Physical And Mathematical Models ◽  
The Impact ◽  
Runoff Model ◽  
Water Assessment ◽  
Semi Arid ◽  
Soil And Water

Watershed models simulate natural hydrological and biogeochemical processes within watersheds as well as quantify the impact of human activities on these processes. Among them, rainfall-runoff models have been widely applied for generating hydrological responses using reanalysis datasets as forcing variables in data-scare regions. In the present study, Soil and Water Assessment Tool model and rainfall-runoff model were employed to simulate streamflow from a small watershed with arid and semi-arid climate. As such, models that provide reliable streamflow predictions in the region as well as whose errors and uncertainties are within acceptable ranges could be identified. The intercomparison of the models’ performances indicated that the Soil and Water Assessment Tool model relatively outperformed the rainfall-runoff model. However, while most of the statistical evaluations proved an acceptable performance of the Soil and Water Assessment Tool model, significant amounts of uncertainties during calibration and validation procedures were noticed. Among the possible sources of errors, errors due to forcing variables were highly likely to be responsible for unsatisfactory performances of the selected models. In this regard, to minimize model uncertainty and thereupon improve its performance, ground-based data collection need to be boosted up. Besides, the study highlighted the need for further investigation on the possible mechanisms of properly applying reanalysis datasets in arid and semi-arid regions.

Understanding spatio‐temporal rainfall‐runoff changes in a semi‐arid region.

2020 ◽  
Author(s):  
Santosh K Aryal ◽  
Richard P Silberstein ◽  
Guobin Fu ◽  
Geoff Hodgson ◽  
Stephen P Charles ◽  
...  
Keyword(s):  
Arid Region ◽  
Rainfall Runoff ◽  
Runoff Changes ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

A Fast Semi Distributed Rainfall Runoff Model for Engineering Applications in Arid and Semi-Arid Regions

2017 ◽  
Vol 31 (15) ◽  
pp. 4941-4955 ◽  
Author(s):  
Remah F. Foda ◽  
Ayman G. Awadallah ◽  
Mohamed A. Gad
Keyword(s):  
Arid Regions ◽  
Rainfall Runoff ◽  
Engineering Applications ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Semi Arid

scholarly journals Modelling rainfall runoff relations using HEC-HMS in a semi-arid region: Case study in Ain Sefra watershed, Ksour Mountains (SW Algeria)

2018 ◽  
Vol 36 (1) ◽  
pp. 45-55 ◽  
Author(s):  
Abdessamed Derdour ◽  
Abderrazak Bouanani ◽  
Kamila Babahamed
Keyword(s):  
Soil Conservation ◽  
Arid Region ◽  
Hydrological Modeling ◽  
Soil Conservation Service ◽  
Efficiency Coefficient ◽  
Rainfall Runoff ◽  
Meteorological Model ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Peak Discharges

AbstractAin Sefra is one of the Algerian cities that had been experienced several devastating floods during the past 100 years. The purpose of this study is to simulate runoff in the semi-arid region of Ain Sefra watershed through the employing of the Hydrologic Engineering Center – Hydrologic Modelling System (HEC-HMS). In this paper, the frequency storm is used for the meteorological model, the Soil Conservation Service – curve number (SCS-CN) is selected to calculate the loss rate and Soil Conservation Service unit hydrograph method have been applied to simulate the runoff rate. After calibration and validation, the simulated peak discharges were very close with observed values. The Nash–Sutcliffe efficiency coefficient was 0.95, indicates that the hydrological modeling results are satisfactory and accepted for simulation of rainfall-runoff. The peak discharges obtained for the 10, 50, 100 and 1000 year storms are respectively 425.8, 750.5, 904.3 and 1328.3 m3∙s−1.

Sign in / Sign up

Export Citation Format

Share Document