2017
DOI: 10.21163/gt_2017.121.10
|View full text |Cite
|
Sign up to set email alerts
|

Application of ARC HYDRO and HEC-HMS model techniques for runoff simulation in the headwater areas of Covasna watershed (Romania)

Abstract: ABSTRACT:Lately, computerized hydrologic models have become an essential tool not only for a better understanding of the hydrologic cycle but also for a faster problem solving in hydrology, such as the ungauged catchments. Since Covasna river, which is a left tributary of the Black river, is monitored only by two gauging stations, an approach for runoff modelling at the ungauged outlets within the catchment, would be extremely beneficial. Thus, the main purpose of this study is to conduct a test of the ability… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 4 publications
0
7
0
Order By: Relevance
“…The SCS-CN method proved to be an efficient tool for estimating direct runoff in such a small mountainous watershed, as also shown by other studies that applied the method to various watersheds in Romania such as the ones conducted by , Strapazan & Petruț, 2017, Gyori et al, 2016, Ivanescu et al, 2014, Gyori & Haidu, 2011, and Crăciun et al, 2007 calibration based on the SCS lag time formula, yielded results that were in poor agreement with the measured values. The lag equation tended to underestimate the relationship between the corresponding travel time and the rainfall parameters, and hence the peak flow was overestimated, which is why the manual adjustment of the lag time was needed.…”
Section: Discussionmentioning
confidence: 81%
See 1 more Smart Citation
“…The SCS-CN method proved to be an efficient tool for estimating direct runoff in such a small mountainous watershed, as also shown by other studies that applied the method to various watersheds in Romania such as the ones conducted by , Strapazan & Petruț, 2017, Gyori et al, 2016, Ivanescu et al, 2014, Gyori & Haidu, 2011, and Crăciun et al, 2007 calibration based on the SCS lag time formula, yielded results that were in poor agreement with the measured values. The lag equation tended to underestimate the relationship between the corresponding travel time and the rainfall parameters, and hence the peak flow was overestimated, which is why the manual adjustment of the lag time was needed.…”
Section: Discussionmentioning
confidence: 81%
“…Generally, most digital computer models for calculating surface runoff apply to predefined calculation sections and drainage areas (Haidu et al, 2017), thus the catchment boundary and most of the parameters necessary for MIKE-UHM model's operation were extracted using both the GIS-ArcHydro model based on a previous work by Strapazan & Petruț (2017), and the HEC-GeoHMS module.…”
Section: Methodsmentioning
confidence: 99%
“…The process of estimating the CN was based on the one described in the scientific literature (Haidu et al, 2017, Crăciun et. Al, 2007, Strapazan and Petruț, 2017 (Fig. 2).…”
Section: Methodsmentioning
confidence: 97%
“…The digital elevation model for Europe (EU-DEM) with a resolution of 25 m from the GMES RDA project (a realisation of the Copernicus programme, managed by the European Commission, DG Enterprise and Industry) from the website of the European Environment Agency (EU-DEM Metadata) was used to subtract information on relief. In order to automatically delineate the watersheds a model based on the elevation data and ArcHydro functions was used (Strapazan and Petruț, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…HEC-GeoHMS has been elaborated as a toolkit that enables the stakeholders to perform spatial analysis by developing hydrologic parameters. This software is a widely used extension of Geographic Information Systems (GIS) [19][20][21][22]. The output hydrologic parameters generated by HEC-GeoHMS constitute the input data for the rainfall-runoff simulation model.…”
Section: Introductionmentioning
confidence: 99%