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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.
Andrei Urzică; Alin Mihu-Pintilie; Cristian Constantin Stoleriu; Cătălin Ioan Cîmpianu; Elena Huţanu; Claudiu Ionuţ Pricop; Adrian Grozavu. Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania). Water 2020, 13, 57 .
AMA StyleAndrei Urzică, Alin Mihu-Pintilie, Cristian Constantin Stoleriu, Cătălin Ioan Cîmpianu, Elena Huţanu, Claudiu Ionuţ Pricop, Adrian Grozavu. Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania). Water. 2020; 13 (1):57.
Chicago/Turabian StyleAndrei Urzică; Alin Mihu-Pintilie; Cristian Constantin Stoleriu; Cătălin Ioan Cîmpianu; Elena Huţanu; Claudiu Ionuţ Pricop; Adrian Grozavu. 2020. "Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania)." Water 13, no. 1: 57.
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.
Elena Huţanu; Alin Mihu-Pintilie; Andrei Urzica; Larisa Elena Paveluc; Cristian Constantin Stoleriu; Adrian Grozavu. Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania). Water 2020, 12, 1624 .
AMA StyleElena Huţanu, Alin Mihu-Pintilie, Andrei Urzica, Larisa Elena Paveluc, Cristian Constantin Stoleriu, Adrian Grozavu. Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania). Water. 2020; 12 (6):1624.
Chicago/Turabian StyleElena Huţanu; Alin Mihu-Pintilie; Andrei Urzica; Larisa Elena Paveluc; Cristian Constantin Stoleriu; Adrian Grozavu. 2020. "Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)." Water 12, no. 6: 1624.
The exposure of rural communities to illegal waste dumping practices associated with the lack of or poor waste collection schemes prior to the closure of rural dumpsites under EU regulations and the role of collection efficiency afterward in reducing this critical environmental threat constitutes a key issue in rural Romania. The present study reveals huge amounts of household uncollected waste released into the natural environment outside the official statistics of rural dumpsites. Despite the expansion of waste collection coverage towards rural areas since 2010, the problem of illegal dumping practice is difficult to solve. The improvement of collection efficiency, better law enforcement, and surveillance of environmental authorities coupled with educational and environmental awareness are necessary steps to combat this bad practice. A circular economy paradigm must be enacted in rural regions through separate collection schemes and to improve cost-efficient alternatives, such as home composting, and traditional and creative reuse practices, particularly in less developed regions.
Florin-Constantin Mihai; Adrian Grozavu. Role of Waste Collection Efficiency in Providing a Cleaner Rural Environment. Sustainability 2019, 11, 6855 .
AMA StyleFlorin-Constantin Mihai, Adrian Grozavu. Role of Waste Collection Efficiency in Providing a Cleaner Rural Environment. Sustainability. 2019; 11 (23):6855.
Chicago/Turabian StyleFlorin-Constantin Mihai; Adrian Grozavu. 2019. "Role of Waste Collection Efficiency in Providing a Cleaner Rural Environment." Sustainability 11, no. 23: 6855.
Florin Constantin Grozavu. SPATIAL ASSESSMENT OF CONSTRUCTION WASTE GENERATED BY RESIDENTIAL BUILDINGS IN RURAL AREAS. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies 2017, 1 .
AMA StyleFlorin Constantin Grozavu. SPATIAL ASSESSMENT OF CONSTRUCTION WASTE GENERATED BY RESIDENTIAL BUILDINGS IN RURAL AREAS. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies. 2017; ():1.
Chicago/Turabian StyleFlorin Constantin Grozavu. 2017. "SPATIAL ASSESSMENT OF CONSTRUCTION WASTE GENERATED BY RESIDENTIAL BUILDINGS IN RURAL AREAS." 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies , no. : 1.
Adrian Grozavu. APPLICATION OF AHP METHOD FOR MAPPING SLOPE GEOMORPHIC PHENOMENA. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies 2017, 1 .
AMA StyleAdrian Grozavu. APPLICATION OF AHP METHOD FOR MAPPING SLOPE GEOMORPHIC PHENOMENA. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies. 2017; ():1.
Chicago/Turabian StyleAdrian Grozavu. 2017. "APPLICATION OF AHP METHOD FOR MAPPING SLOPE GEOMORPHIC PHENOMENA." 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies , no. : 1.
When relating to hazards such as earthquakes, a primary task of a resilience approach is to evaluate vulnerability in an integrative manner by taking into account the most relevant indicators. Focused on Iasi, one of the major Romanian cities which are exposed to the earthquakes originating in Vrancea area, this study aims to assess seismic vulnerability using a multi-criteria analysis of buildings infrastructure and social vulnerability. Several indicators are taken into account, such as physical (related to the characteristics of buildings and terrain) and social indicators (related to population and economic income), as well as the accessibility from/to emergency services/hospitals. The indicators were processed by standardization (Z score), processed and correlated using the principal components analysis (PCA) and integrated within an Analytical Hierarchy Process (AHP). By summing the weighted values of the standardized indicators, a (integrated) seismic vulnerability index was obtained. It is a pre-assessment of the seismic vulnerability in Iasi City and also a prerequisite for the identification of the necessary prevention measures to be taken in compliance with the identified spatial patterns of vulnerability as a part of a resilient approach.
Alexandru Banica; Lucian Rosu; Ionel Muntele; Adrian Grozavu. Towards Urban Resilience: A Multi-Criteria Analysis of Seismic Vulnerability in Iasi City (Romania). Sustainability 2017, 9, 270 .
AMA StyleAlexandru Banica, Lucian Rosu, Ionel Muntele, Adrian Grozavu. Towards Urban Resilience: A Multi-Criteria Analysis of Seismic Vulnerability in Iasi City (Romania). Sustainability. 2017; 9 (2):270.
Chicago/Turabian StyleAlexandru Banica; Lucian Rosu; Ionel Muntele; Adrian Grozavu. 2017. "Towards Urban Resilience: A Multi-Criteria Analysis of Seismic Vulnerability in Iasi City (Romania)." Sustainability 9, no. 2: 270.
A correct assessment of the landslide susceptibility component is extremely useful for the diminution of associated potential risks to local economic development, particularly in regard to land use planning and soil conservation. The purpose of the present study was to compare the usefulness of two methods, i.e., binary logistic regression (BLR) and analytical hierarchy process (AHP), for the assessment of landslide susceptibility over a 130-km2 area in the Moldavian Plateau (eastern Romania) region, where landslides affect large areas and render them unsuitable for agriculture. A large scale inventory mapping of all types of landslides (covering 13.7% of the total area) was performed using orthophoto images, topographical maps, and field surveys. A geographic information system database was created, comprising the nine potential factors considered as most relevant for the landsliding process. Five factors (altitude, slope angle, slope aspect, surface lithology, and land use) were further selected for analysis through the application of a tolerance test and the stepwise filtering procedure of BLR. For each predictor, a corresponding raster layer was built and a dense grid of equally spaced points was generated, with an approximately equal number of points inside and outside the landslide area, in order to extract the values of the predictors from raster layers. Approximately half of the total number of points was used for model computation, while the other half was used for validation. Analytical hierarchy process was employed to derive factor weights, with several pair-wise comparison matrices being tested for this purpose. The class weights, on a scale of 0 to 1, were taken as normalized landslide densities. A comparison of results achieved through these two approaches showed that BLR was better suited for mapping landslide susceptibility, with 82.8% of the landslide area falling into the high and very high susceptibility classes. The susceptibility class separation using standard deviation was superior to either the equal interval or the natural break method. Results from the study area suggest that the statistical model achieved by BLR could be successfully extrapolated to the entire area of the Moldavian Plateau.
Cristian Valeriu Patriche; Radu Gabriel Pirnau; Adrian Grozavu; Bogdan Rosca. A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania. Pedosphere 2016, 26, 335 -350.
AMA StyleCristian Valeriu Patriche, Radu Gabriel Pirnau, Adrian Grozavu, Bogdan Rosca. A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania. Pedosphere. 2016; 26 (3):335-350.
Chicago/Turabian StyleCristian Valeriu Patriche; Radu Gabriel Pirnau; Adrian Grozavu; Bogdan Rosca. 2016. "A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania." Pedosphere 26, no. 3: 335-350.
In landslide susceptibility assessment, an important issue is the correct identification of significant contributing factors, which leads to the improvement of predictions regarding this type of geomorphologic processes. In the scientific literature, different weightings are assigned to these factors, but contain large variations. This study aims to identify the spatial variability and range of variation for the coefficients of landslide predictors in different geographical conditions. Four sectors of 15 km × 15 km (225 km2) were selected for analysis from representative regions in Romania in terms of spatial extent of landslides, situated both on the hilly areas (the Transylvanian Plateau and Moldavian Plateau) and lower mountain region (Subcarpathians). The following factors were taken into consideration: elevation, slope angle, slope height, terrain curvature (mean, plan and profile), distance from drainage network, slope aspect, land use, and lithology. For each sector, landslide inventory, digital elevation model and thematic layers of the mentioned predictors were achieved and integrated in a georeferenced environment. The logistic regression was applied separately for the four study sectors as the statistical method for assessing terrain landsliding susceptibility. Maps of landslide susceptibility were produced, the values of which were classified by using the natural breaks method (Jenks). The accuracy of the logistic regression outcomes was evaluated using the ROC (receiver operating characteristic) curve and AUC (area under the curve) parameter, which show values between 0.852 and 0.922 for training samples, and between 0.851 and 0.940 for validation samples. The values of coefficients are generally confined within the limits specified by the scientific literature. In each sector, landslide susceptibility is essentially related to some specific predictors, such as the slope angle, land use, slope height, and lithology. The study points out that the coefficients assigned to the landslide predictors through logistic regression are capable to reveal some important characteristics in landslide manifestation. The study also shows that the logistic regression could be an alternative method to the current Romanian methodology for landslide susceptibility and hazard mapping.
Mihai Ciprian Margarint; Adrian Grozavu; Cristian Valeriu Patriche. Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression. Natural Hazards and Earth System Sciences 2013, 13, 3339 -3355.
AMA StyleMihai Ciprian Margarint, Adrian Grozavu, Cristian Valeriu Patriche. Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression. Natural Hazards and Earth System Sciences. 2013; 13 (12):3339-3355.
Chicago/Turabian StyleMihai Ciprian Margarint; Adrian Grozavu; Cristian Valeriu Patriche. 2013. "Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression." Natural Hazards and Earth System Sciences 13, no. 12: 3339-3355.
This study attempts to quantify landslide susceptibility in the upper Putna River basin in the Romanian Carpathians Bend using GIS techniques and logistic regression. First, a detailed landslide inventory was carried out and a GIS database was built, comprising potential predictors of landslide occurrence. The GIS database included 11 quantitative predictors, mostly geomorphometric parameters, and 4 qualitative predictors which were transformed into quantitative variables using landslide density approach. The logistic regression analysis, combined with a stepwise selection of the predictors, showed that landslide occurrence is best explained by slope inclination class, altitude, soil class, distance to drainage network and surface geology. The results show that the potentially unstable terrains, displaying high and very high landslide susceptibility values, cover an area about 3 times greater than the mapped landslide area.
Adrian Grozavu; Sergiu Pleşcan; Cristian Valeriu Patriche; Mihai Ciprian Margarint; Bogdan Rosca. Landslide Susceptibility Assessment: GIS Application to a Complex Mountainous Environment. Physics of Semiconductor Devices 2013, 31 -44.
AMA StyleAdrian Grozavu, Sergiu Pleşcan, Cristian Valeriu Patriche, Mihai Ciprian Margarint, Bogdan Rosca. Landslide Susceptibility Assessment: GIS Application to a Complex Mountainous Environment. Physics of Semiconductor Devices. 2013; ():31-44.
Chicago/Turabian StyleAdrian Grozavu; Sergiu Pleşcan; Cristian Valeriu Patriche; Mihai Ciprian Margarint; Bogdan Rosca. 2013. "Landslide Susceptibility Assessment: GIS Application to a Complex Mountainous Environment." Physics of Semiconductor Devices , no. : 31-44.
Adrian Grozavu; Sergiu Plescan; Mihai Ciprian Margarint. INDICATORS FOR THE ASSESSMENT OF EXPOSURE TO GEOMORPHOLOGIC AND HYDROLOGIC PROCESSES. Environmental Engineering and Management Journal 2013, 12, 2203 -2210.
AMA StyleAdrian Grozavu, Sergiu Plescan, Mihai Ciprian Margarint. INDICATORS FOR THE ASSESSMENT OF EXPOSURE TO GEOMORPHOLOGIC AND HYDROLOGIC PROCESSES. Environmental Engineering and Management Journal. 2013; 12 (11):2203-2210.
Chicago/Turabian StyleAdrian Grozavu; Sergiu Plescan; Mihai Ciprian Margarint. 2013. "INDICATORS FOR THE ASSESSMENT OF EXPOSURE TO GEOMORPHOLOGIC AND HYDROLOGIC PROCESSES." Environmental Engineering and Management Journal 12, no. 11: 2203-2210.
This paper aims to assess the vulnerability at regional level, the model and the proposed indicators being explicitly intended for an essentially rural region, in this case–Tutova Hills (Eastern Romania). Five categories of variables were taken into account to define the vulnerability components: rural habitat, demographic features, agriculture, environmental quality and emergency situations. For each one, five variables were analyzed and ranked based on the level of determination or subordination. In order to ensure the flexibility of the model and to avoid the criteria duplication in assessing vulnerability, only a single indicator of each category was retained and included in analysis: total number of inhabitants, dependency ratio, weight of arable land on slope categories, weight of land under forestry and road accessibility of villages. The selected indicators were mathematically processed in order to maximize their relevance and to unitary express the results in the spread 0–1. Also, values of each indicator were grouped into four classes, corresponding to the level of vulnerability: low, medium, high and very high. A general index was obtained through the integration of vulnerability factors in an equation based on the geometric mean. Spatial analysis was based on features of the MicroImages TNTmips 7.3. software, which allow the vulnerability mapping. This approach argues and states that vulnerability assessment through indicator-based methods can be made only according to the level and scale of analysis and related to natural or human conditions of a region.
I. C. Stângă; Adrian Grozavu. Quantifying human vulnerability in rural areas: case study of Tutova Hills (Eastern Romania). Natural Hazards and Earth System Sciences 2012, 12, 1987 -2001.
AMA StyleI. C. Stângă, Adrian Grozavu. Quantifying human vulnerability in rural areas: case study of Tutova Hills (Eastern Romania). Natural Hazards and Earth System Sciences. 2012; 12 (6):1987-2001.
Chicago/Turabian StyleI. C. Stângă; Adrian Grozavu. 2012. "Quantifying human vulnerability in rural areas: case study of Tutova Hills (Eastern Romania)." Natural Hazards and Earth System Sciences 12, no. 6: 1987-2001.
A. Grozavu; Mihai Ciprian Margarint; C. V. Patriche; M. C. M. GIS applications for landslide susceptibility assessment: a case study in Iaşi County (Moldavian Plateau, Romania). RISK ANALYSIS 2010 2010, 43, 393 -404.
AMA StyleA. Grozavu, Mihai Ciprian Margarint, C. V. Patriche, M. C. M. GIS applications for landslide susceptibility assessment: a case study in Iaşi County (Moldavian Plateau, Romania). RISK ANALYSIS 2010. 2010; 43 ():393-404.
Chicago/Turabian StyleA. Grozavu; Mihai Ciprian Margarint; C. V. Patriche; M. C. M. 2010. "GIS applications for landslide susceptibility assessment: a case study in Iaşi County (Moldavian Plateau, Romania)." RISK ANALYSIS 2010 43, no. : 393-404.