Flood vulnerability assessment in the mountain–plateau transition zone: a case study of Marginea village (Romania)

Romanescu, Gheorghe; Hapciuc, Oana Elena; Minea, Ionuț; Iosub, Marina

doi:10.1111/jfr3.12249

Cited by 46 publications

(27 citation statements)

References 38 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several theoretical frameworks for vulnerability assessment were developed with different scales (local, national, global), components (exposure, susceptibility/sensitivity, capacity), and dimensions (social, economic, physical, environmental, institutional) depending on the research fields (for example [3,4,[24][25][26][27][28][29][30][31]). Multiple studies were conducted to assess rural flood vulnerability incorporating exposure, susceptibility, and capacity components, for example in Romania [32], Ghana [6], South Africa [33], Mozambique [34], Vietnam [8], India [10], Pakistan [11], and Bangladesh [35]. However, none of the frameworks or assessment studies clearly revealed the impact of the rural floods or other rural hazards on the interaction/linkages between spatial units (rural and urban) and its influences on the vulnerability.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

View full text Add to dashboard Cite

Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are intrinsically linked, rural vulnerability was assessed without considering its relation to cities. Numerous theoretical frameworks on systemizing and assessing vulnerability were developed with varying level of scope and depth in terms of scale, dimensions, and components. Nevertheless, these frameworks did not explicitly mention the impact of flood or other hazards on the linkages between spatial units i.e., rural and urban. This study aims to understand and conceptualize the rural vulnerability with respect to the dynamics of rural–urban linkages in the case of flood events. To do so, current literature on rural–urban linkages, vulnerability, as well as factors that influence them were critically reviewed. Taking into account the main elements of rural–urban linkages (flow of people, information, finances, goods and services), components of vulnerability (exposure, susceptibility, and capacity), and factors (social, economic, institutional, infrastructural, spatial, and environmental), a unified framework is proposed. The framework underscores that the role of rural–urban linkages is essential to fully understand rural flood vulnerability. Moreover, the framework highlights the role of spatial factors—city size and proximity to the city—as crucial to comprehend rural vulnerability. This framework can be used as a tool for understanding multifaceted rural vulnerability for climate change adaptation and disaster risk reduction considering spatial development perspective. In this context, empirical investigations can be made to validate the proposed framework and policies can be introduced accordingly. Overall, the proposed framework can help recognize concepts and links of vulnerability, rural–urban dependencies, and rural development dynamics.

show abstract

Section: Introductionmentioning

confidence: 99%

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Flood risk management includes flood risk analysis [1][2][3], vulnerability analysis [4][5][6], flood disaster assessment [7][8][9][10], and response [11][12][13]. Several factors can influence the risk of flood disasters, such as astronomy, meteorology, hydrology, topography, landforms, and human activities.…”

Section: Introductionmentioning

confidence: 99%

Flood Risk Analysis of Different Climatic Phenomena during Flood Season Based on Copula-Based Bayesian Network Method: A Case Study of Taihu Basin, China

Luo

Dong

Guan

et al. 2019

Water

View full text Add to dashboard Cite

We propose a flood risk management model for the Taihu Basin, China, that considers the spatial and temporal differences of flood risk caused by the different climatic phenomena. In terms of time, the probability distribution of climatic phenomenon occurrence time was used to divide the flood season into plum rain and the typhoon periods. In terms of space, the Taihu Basin was divided into different sub-regions by the Copula functions. Finally, we constructed a flood risk management model using the Copula-based Bayesian network to analyze the flood risk. The results showed the plum rain period occurs from June 24 to July 21 and the typhoon period from July 22 to September 22. Considering the joint distribution of sub-region precipitation and the water level of Taihu Lake, we divided the Taihu Basin into three sub-regions (P-I, P-II, and P-III) for risk analysis in the plum rain period. However, the Taihu Basin was used as a whole for flood risk analysis in the typhoon period. Risk analysis indicated a probability of 2.4%, and 0.8%, respectively, for future adverse drainage during the plum rain period and the typhoon period, the flood risk increases rapidly with the rising water level in the Taihu Lake.

show abstract

“…One of the main objectives of this regulation implies the territorial mapping of the flood hazards and flood risks in order to develop integrated flood management plans. In order to realize this, an increased attention was focused to the development of new measurements ways of flood parameters and effects, in order to reduce them [14,15]. This, combined with the demand for closer to near real time information, free data, higher spatial resolution as well as fast assessment of the damages has forced the European Commission and the European Space Agency to update its Earth observation programme previously known as GMES (Global Monitoring for Environment and Security) to Copernicus, a freely and openly accessible monitoring scheme, which provide open access to its missions and its vast amounts of global satellite data [16].One of the new missions operational for the Copernicus programme is Sentinel (currently with 3 operational satellites), a mission equipped with a set of newly emerged technologies [17].…”

Section: Introductionmentioning

confidence: 99%

Mapping Floods Using Open Source Data and Software - Sentinel-1 and Esa Snap

Cimpianu¹,

Mihu-Pintilie²

2018

Proceedings 2018

View full text Add to dashboard Cite

During the last years, the world of free/open source geospatial data and software has seen a rapid growth. This development lead to an abundance of spatial data, mapping and understanding the features and phenomena found on the surface of the Earth, became easier. Worldwide natural hazards like floods are a constant threat to build up environment or agricultural areas. Due to their negative impact on different social and economic aspects, the need to monitor and map these phenomena has become mandatory. One of the most used methodologies in the assessment of flooded areas is the use of remote sensing. With the recent developments in this field, especially in the microwave wavelength data acquisition, the monitoring, mapping and modeling of these catastrophic events can be done in a more rapid and precise way. The optimal solution for monitoring and mapping flooded areas is the use of radar data (SAR). The development of ESA Sentinel-1 mission, which will provide free data (radar with 10 m spatial resolution and a revision time of 5 days in constellation mode), set a new milestone in the flood hazard and risk assessment. This paper proposes a methodology for mapping flood events using open source data Sentinel-1 provided by ESA (European Space Agency) and SNAP, an open source ESA software architecture.

show abstract

Flood vulnerability assessment in the mountain–plateau transition zone: a case study of Marginea village (Romania)

Cited by 46 publications

References 38 publications

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

Flood Risk Analysis of Different Climatic Phenomena during Flood Season Based on Copula-Based Bayesian Network Method: A Case Study of Taihu Basin, China

Mapping Floods Using Open Source Data and Software - Sentinel-1 and Esa Snap

Contact Info

Product

Resources

About