Implementation of EU Water Framework Directive (2000/60/EC) in Romania—European Qualitative Requirements

Romanescu, Gheorghe; Stoleriu, Cristian Constantin; Mihu-Pintilie, Alin

doi:10.1007/978-3-030-22320-5_2

Cited by 5 publications

(11 citation statements)

References 23 publications

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“…Concerning the causes and extent of flood hazard within the inhabited territory of the Jijia floodplain, the most catastrophic events took place due to intense anticyclone activity in the June-July interval [55]. The last example is the flash flood which took place in 2018 (Figure 2b,c) as a result of heavy rains generated by the intense activity of Azores anticyclone and its influence on Eastern Europe [19]. Overall, being a typical rural area highly dependent on subsistence agriculture by family farming or small-scale fisheries, the Jijia floodplain is heavily affected by hydrological disasters, especially in terms of material losses and trauma population [50,51,53] (Figure 2d).…”

Section: Habitation In the Jijia Floodplainmentioning

confidence: 99%

“…The official flood hazard data developed for 10% (10-year), 1% (100-year), and 0.1% (1000-year) recurrence intervals were generated by specialists of PBWA within the first stage of Flood Directive 2007/60/EC implementation in Romania [17][18][19]. For the north-eastern part of the country, which includes the Jijia floodplain, this action corresponded with the implementation of the project Works for reducing the flood risk in Prut-Bîrlad Basin [43].…”

Section: Official Flood Hazard Datamentioning

confidence: 99%

“…Following the main objective of this approach, we managed to compare the flood hazard maps we obtained for 1% (100-year) and 0.1% (1000-year) recurrence intervals with official flood hazards maps [66] realized by specialists of NARW for the same recurrence intervals under the first stage of Flood Directive 2007/60/EC implementation in Romania [17][18][19]. The comparisons take into consideration the following indicators for each recurrence interval scenario: flood extent (Figures 10 and 11), total number of potentially affected buildings (Table 5), and the flood hazard classification based on water depth according to MLIT criteria (Figure 12) [65].…”

Section: Differences Between 1d Hec-ras Models and Official Flood Hazard Mapsmentioning

confidence: 99%

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Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Hutanu

Mihu-Pintilie

Urzica

et al. 2020

Water

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The ability to extract flood hazard settings in highly vulnerable areas like populated floodplains by using new computer algorithms and hydraulic modeling software is an important aspect of any flood mitigation efforts. In this framework, the 1D/2D hydraulic models, which were generated based on a Light Detection and Ranging (LiDAR) derivate Digital Elevation Model (DEM) and processed within Geographical Information Systems (GIS), can improve large-scale flood hazard maps accuracy. In this study, we developed the first flood vulnerability assessment for 1% (100-year) and 0.1% (1000-year) recurrence intervals within the Jijia floodplain (north-eastern Romania), based on 1D HEC-RAS hydraulic modeling and LiDAR derivate DEM with 0.5 m spatial resolution. The results were compared with official flood hazards maps developed for the same recurrence intervals by the hydrologists of National Administration “Romanian Waters” (NARW) based on MIKE SHE modeling software and a DEM with 2 m spatial resolutions. It was revealed that the 1D HEC-RAS provides a more realistic perspective about the possible flood threats within Jijia floodplain and improves the accuracy of the official flood hazard maps obtained according to Flood Directive 2007/60/EC.

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Section: Habitation In the Jijia Floodplainmentioning

confidence: 99%

Section: Official Flood Hazard Datamentioning

confidence: 99%

Section: Differences Between 1d Hec-ras Models and Official Flood Hazard Mapsmentioning

confidence: 99%

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Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Hutanu

Mihu-Pintilie

Urzica

et al. 2020

Water

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“…When it comes to floods, Romania is among the most affected countries [1][2][3][4][5]. Starting at the beginning of 21st century, Romania witnessed flood events at increasingly high levels and frequencies, with floods occurring every two years (2005, 2006, 2008, 2010, 2013 and 2014) [4,[6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Managing Flood Hazard in a Complex Cross-Border Region Using Sentinel-1 SAR and Sentinel-2 Optical Data: A Case Study from Prut River Basin (NE Romania)

et al. 2021

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In this study, an alternative solution for flood risk management in complex cross-border regions is presented. In these cases, due to different flood risk management legislative approaches, there is a lack of joint cooperation between the involved countries. As a main consequence, LiDAR-derived digital elevation models and accurate flood hazard maps obtained by means of hydrological and hydraulic modeling are missing or are incomplete. This is also the case for the Prut River, which acts as a natural boundary between European Union (EU) member Romania and non-EU countries Ukraine and Republic of Moldova. Here, flood hazard maps were developed under the European Floods Directive (2007/60/EC) only for the Romanian territory and only for the 1% exceeding probability (respectively floods that can occur once every 100 years). For this reason, in order to improve the flood hazard management in the area and consider all cross-border territories, a fully remote sensing approach was considered. Using open-source SAR Sentinel-1 and Sentinel-2 data characterized by an improved temporal resolution, we managed to capture the maximum spatial extent of a flood event that took place in the aforementioned river sector (middle Prut River course) during the 24 and 27 June 2020. Moreover, by means of flood frequency analysis, the development of a transboundary flood hazard map with an assigned probability, specific to the maximum flow rate recorded during the event, was realized.

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“…Currently, floods caused by dam-break events still force society to create more upgraded software applications and geographic information system (GIS) tools used for forecasting, prevention, and disaster risk reduction caused by dam failure. For example, through the 2007/60/CE Directive, each member state of the European Union (EU) has the obligation to generate, for each large river basin under administration, individual flood risk management plans (FRMPs) [27,28].…”

Section: Introductionmentioning

confidence: 99%

Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania)

Urzica

Mihu-Pintilie

Stoleriu

et al. 2020

Water

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Using hydraulic modeling techniques (e.g., one-dimensional/two-dimensional (1D/2D) hydraulic modeling, dam break scenarios) for extracting the flood settings is an important aspect of any action plan for dam failure (APDF) and flood mitigation strategy. For example, the flood hydraulic models and dam break scenario generated based on light detection and ranging (LiDAR)-derived digital elevation models (DEMs) and processed in the dedicated geographic information systems (GIS) and hydraulic modeling software (e.g., HEC-RAS—Hydrologic Engineering Center River Analysis System, developed by USACE HEC, Davis, CA, USA) can improve the flood hazard maps in case of potentially embankment dam failure. In this study, we develop a small-scale conceptual approach using 2D HEC-RAS software according to the three embankment dam break scenarios, LiDAR data (0.5 m spatial resolution), and 2D hydraulic modeling for the Başeu multi-reservoir system which belongs to the Başeu River (NE Romania) including R1—Cal Alb reservoir, R2—Movileni reservoirs, R3—Tătărăşeni reservoirs, R4—Negreni reservoirs, and R5—Hăneşti reservoirs. In order to test the flood control capacity of the Bașeu multi-reservoir system, the Cal Alb (R1) dam break scenario (piping failure) was taken into account. Three 2D stream flow modeling configurations based on R1 inflow rate with a 1% (100 year), 0.5% (500 year), and 0.1% (1000 year) recurrence interval and the water volume which can be accumulated with that specific inflow rate (1% = 10.19 × 106 m3; 0.5% = 12.39 × 106 m3; 0.1% = 17.35 × 106 m3) were computed. The potential flood wave impact was achieved on the basis of different flood severity maps (e.g., flood extent, flood depth, flood velocity, flood hazard) generated for each recurrence interval scenario and highlighted within the built-up area of 27 settlements (S1–S27) located downstream of R1. The results showed that the multi-reservoir system of Bașeu River has an important role in flood mitigation and contributes to the APDF in the context of climate change and the intensification of hydrological hazard manifestation in northeastern Romania.

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Implementation of EU Water Framework Directive (2000/60/EC) in Romania—European Qualitative Requirements

Cited by 5 publications

References 23 publications

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Managing Flood Hazard in a Complex Cross-Border Region Using Sentinel-1 SAR and Sentinel-2 Optical Data: A Case Study from Prut River Basin (NE Romania)

Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania)

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