Assessing Land Use/Land Cover Change and its Impact on Surface Runoff in the
            Southern Part of the Țibleș and Rodnei Mountains.

Strapazan, Carina; Haidu, Ionel; Kocsis, István

doi:10.24193/awc2019_23

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…The T , ibles , River collects its waters draining along the southern slopes of the T , ibles , Mountains and the Năsăud Hills. All three rivers are right bank tributaries of the Somes , ul Mare River [28]. These catchments are subject to heavy rainfall and extreme precipitation, leading to flash flooding events as they drain the mountainous and hilly terrain.…”

Section: Methodology and Databasementioning

confidence: 99%

A GIS-Based Methodology to Combine Rain Gauge and Radar Rainfall Estimates of Precipitation Using the Conditional Merging Technique for High-Resolution Quantitative Precipitation Forecasts in Țibleș and Rodnei Mountains

et al. 2022

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Rain gauges provide accurate rainfall amount data; however, the interpolation of their data is difficult, especially because of the high spatial and temporal variability. On the other hand, a high-resolution type of information is highly required in hydrological modeling for discharge calculations in small catchments. This problem is partially solved by meteorological radars, which provide precipitation data with high spatial and temporal distributions over large areas. The purpose of this study is to validate a conditional merging technique (CMT) for 15 rainfall events that occurred on the southern slope of the Tibleș and Rodnei Mountains (Northern Romania). A Geographic Information System (GIS) methodology, based on three interpolation techniques—simple kriging, ordinary kriging, and cokriging—were utilized to derive continuous precipitation fields based on discrete rain gauge precipitation data and to derive interpolated radar data at rain gauge locations, and spatial analysis tools were developed to extract and analyze the optimal information content from both radar data and measurements. The dataset contains rainfall events that occurred in the period of 2015–2018, having 24 h temporal resolution. The model performance accuracy was carried out by using three validation metrics: mean bias error (MBE), mean absolute error (MAE), and root mean square error (RMSE). The validation stage showed that our model, based on conditional merging technique, performed very well in 11 out of 15 rainfall events (approximate 78%), with an MAE under 0.4 mm and RMSE under 0.7 mm.

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Section: Methodology and Databasementioning

confidence: 99%

A GIS-Based Methodology to Combine Rain Gauge and Radar Rainfall Estimates of Precipitation Using the Conditional Merging Technique for High-Resolution Quantitative Precipitation Forecasts in Țibleș and Rodnei Mountains

et al. 2022

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“…This method, developed by SCS (1972), is used to compute the surface runoff primarily on the basis of rainfall data and a CN parameter. The CN is used to express the runoff potential using the hydrologic soil groups, land cover and AMC information ) with a major influence on the runoff generation processes (Strapazan et al, 2019).…”

Section: Scs Loss Methodsmentioning

confidence: 99%

A Comparative Assessment of Different Loss Methods Available in Mike Hydro River-Uhm

Strapazan

Haidu

Irimuș

2021

Carpath. J. Earth Environ. Sci.

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Hydrologic modelling studies usually involve data series with a large temporal scale, especially in Romania, focusing on a long-term impact analysis. Nevertheless, event-based runoff models are essential tools for short-term purposes such as flash flood forecasting. Suitable methods or models must be considered in order to ensure the validity of such research based on parameter calibration to a particular area. Therefore, a comparative analysis of methods must be conducted first, in order to determine the optimal ones that can be used for future data prediction. The aim of the present study is to apply and validate the MIKE HYDRO River modeling system - the UHM module, through a comparative analysis of the SCS, Generalized SCS and Proportional Loss methods available, to a small-sized mountainous watershed, where no research has been conducted in this field. To this end, three spring rainfall events were chosen, but with different antecedent moisture conditions, in order to examine how well the chosen methods can reproduce the available observations in such circumstances. The SCS method yielded the highest quality performance, but the Proportional Loss method has also proven effective under these conditions.

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“…Groups B and C completely occupy the study area, the soils being characterized by a medium and slightly above medium potential of runoff, and a low to medium infiltration rate (Chendeș 2011). The direct influence of LULC and soils on runoff was analyzed in a recent study by Strapazan et al (2019).…”

Section: Fig 1 Location Of the Study Areamentioning

confidence: 99%

Application of a Hydrological MIKE HYDRO River – UHM Model for Valea Rea River (Romania). Case Study, Flash Flood Event Occurred on August 1st, 2019.

Kocsis

Haidu

Maier³

2020

Air and Water Components of the Environment Conference

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On August 1, 2019, the atmospheric instability was very pronounced in the hydrographic basin related to the Călinești-Oaș Reservoir, the main phenomenon being the local rainstorms, of very high intensity. The successive radar images, observed in real time, predicted the outbreak of a hydrometeorological event with a strong impact in the catchment basin of the Huta Certeze hydrometric station, on Valea Rea river (the upper hydrographic basin of the Tur river, Oașului Mountains, Satu-Mare district). In a very short time of only 4 hours, a total of 132.5 mm precipitation was measured, which generated a flash flood with a single peak, exceeding the flooding stages, with a maximum discharge of 46.6 m 3 /s. Being an extreme hydrometeorological phenomenon, the question arises to verify whether it is possible to modeling a flash flood of an almost unprecedented magnitude. For modelling purpose MIKE HYDRO River -UHM (Unit Hydrograph) has been selected, being the most suitable for the unit hydrograph method, when the inputs are generated by a single storm event. A GIS based application; ArcMap was used to delimit the affected catchment area. The simulated discharge hydrographs were compared with the observed one at the Huta Certeze hydrometric station, which represent the closing point of the studied basin. The obtained results confirm the modeling's veracity. Therefor MIKE HYDRO River can be used for forecasting water flows to rivers or lakes, for estimating water resources, as well as for river basin management.

show abstract

Assessing Land Use/Land Cover Change and its Impact on Surface Runoff in the Southern Part of the Țibleș and Rodnei Mountains.

Cited by 6 publications

References 9 publications

A GIS-Based Methodology to Combine Rain Gauge and Radar Rainfall Estimates of Precipitation Using the Conditional Merging Technique for High-Resolution Quantitative Precipitation Forecasts in Țibleș and Rodnei Mountains

A GIS-Based Methodology to Combine Rain Gauge and Radar Rainfall Estimates of Precipitation Using the Conditional Merging Technique for High-Resolution Quantitative Precipitation Forecasts in Țibleș and Rodnei Mountains

A Comparative Assessment of Different Loss Methods Available in Mike Hydro River-Uhm

Application of a Hydrological MIKE HYDRO River – UHM Model for Valea Rea River (Romania). Case Study, Flash Flood Event Occurred on August 1st, 2019.

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