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Following severe floods in 2008 and 2010, the Government of Moldova requested assistance to improve flood protection throughout the country. The European Investment Bank has funded a Technical Assistance project to develop a programme of flood risk management measures. The project included the detailed 2D hydraulic modelling of the high-risk rivers...
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... been prepared showing the different levels of risk (low, medium, high and very high), with respect to the value of the 'total risk' computed as described in the previous section (see Table 2). This clearly shows the areas where the flood risk is greatest and therefore the areas where flood risk management meas- ures are most likely to be required (Fig. ...
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A Technical Assistance project funded by the European Investment Bank has been undertaken to develop a programme of flood risk management measures for Moldova that will address the main shortcomings in the present flood management system, and provide the basis for long-term improvement. Areas of significant flood risk were identified using national...
A Technical Assistance project funded by the European Investment Bank has been undertaken to develop a programme of flood risk management measures for Moldova that will address the main shortcomings in the present flood management system, and provide the basis for long-term improvement. Areas of significant flood risk were identified using national...
Citations
Rapid urban development and continuous demands for space have increased the pressure on the territory. The need for this “usable” space, no matter the purpose, leads to an excess of capacities of existing areas and the creation of new areas, both significantly increasing the level of exposure to natural disasters. Statistics show that within a period of almost two decades from 1994 to 2013, 218 million people were affected by natural disasters annually (CRED, 2015). In the situation where the demand for growth is accompanied by an increasing potentiality of damages in economic, social, environmental or cultural terms, disaster risk management (DRM) is having an important focus in terms of research.
The way communities and urban systems react to a natural distress is tightly related to the economic and technological development as well as data availability. Developed countries have the capacities to consider mitigation strategies in pre-event situations, which is not always feasible for developing and poor countries. Also, as emphasized by (Gaillard & Mercer, 2012), the issue is related to the fact that disasters affect those who are marginalized and have partial or no access to resources and means of protection. Such paradigm imposes the need to develop preventive strategies focusing on the community, which is directly affected by aftermath of these natural events.
The analysis of natural disasters and their impact on the society and the built environment is complex and requires an integration of multi-disciplinary information from social to exact sciences. The main issue that hinders the entire process is mainly related to the effectiveness of transmitting such an information between different stakeholders such as experts, responsible local and national authorities and the community itself. This process is even more difficult in the conditions where there is a lack of information, appropriate tools and also the lack of risk perception by the community, especially in the cases of disasters having a relatively large return period such as earthquakes.
The purpose of this research is the analysis of a possible way to integrate disaster risk information within planning instruments aiming towards an inclusive disaster risk reduction (DRR) process through the proposal of a risk assessment methodology at a local scale for the case of seismic events. The analysis is carried out through the proposal of a hierarchic system containing several parameters that characterize firstly the hazard itself and secondly, the built environment in terms of exposure and vulnerability by a combination of a multi-scale information (building and local scale). The selection of relevant parameters, their value, the relationship to one another and their contribution will be given based on a thorough literature research, site visits, questionnaires and experts opinions. The results will be given in the form of a visual spatial information using mapping processes.
The main objective is that the proposed methodology will serve as a preliminary tool for several decision-making processes in terms of strategic risk reduction measures, policies, prioritization, fund allocation etc. The methodology is also aimed to serve as an important node that connects the community, the experts and responsible authorities with one another towards an inclusive disaster risk reduction approach.
Flood risk management is used to monitor floodwater and mitigate flooding that impacts
people, properties and infrastructures, and the environment. This study developed an interactive web-based “flood tool” for Awash and Omo-Gibe basins in Ethiopia to improve the flood monitoring services and facilities. The data used were real-time and seasonal rainfall-runoff forecasts, flood inundations, and other forecast products for the 2021 flood season (June to September) in a case study. Methods used were multiple scripts written in the Hypertext Markup Language (HTML) and the Visual Studio Code as a coding environment. The coefficient-of-determination (R2 ) and efficiency (NSE) were used to evaluate the forecast products. The R2 values for selected river stations were the Awash-Hombole (0.79), Mojo (0.64), Awash-7 (0.66), Awash-Adaitu (0.62), Gibe-Tolai (0.78), and
Gibe-Abelti (0.70) rivers. The R2 values for Koka and Gibe-3 reservoirs inflows (water levels) forecasts were 0.97 (0.96) and 0.93 (0.99), and the NSE values were 0.89 (0.88) and 0.92 (0.95) for each reservoir, respectively. Besides, the flood inundation extents (km2
) from satellite observation and model were compared for the main flood-prone areas and in agreement with very good performance. The flood tool can therefore present early warning forecast products and convey advice to decision-makers to take action for the people at risk.
