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  • Author: Ana Jeleapov x
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Jeleapov Ana

Abstract

Present study is dedicated to assessment and mapping of generation and propagation potential of flash flood and river floods on the rivers of the Republic of Moldova. Main methods applied in the research are Flash Flood Potential Index (FFPI) and Flooding Potential Index (FPI). Additionally, a new index for estimation of flood propagation potential (FPPI) is proposed in order to evaluate impact of main factors (natural and human) on propagation of flood wave through the floodplain of small and medium-sized rivers of Moldova. In total, assessment of FFPI an FPI was performed for 789 elementary river basins (basin area less than 200 km2) and also was considered for 983 elementary territorial-administrative units (communes). Estimation of FPPI was made for 50 main small and medium sized rivers of Moldova. All index parameters (7 for FFPI, 6 for FPI and 12 for FPPI) were integrated, analyzed and combined in GIS environment. As a results, it was found that the FFPI is average for mostly all basins and communes but is characterized by significant differences in spatial representation on local level. FPI is high in basins and communes situated in the floodplains of large and medium sized rivers, in flood-prone areas, and is low in those with high altitudes and steep slopes (Codri and Nistru heights). Flood propagation potential was estimated with average values for 56% of total number of rivers, high for 34% and very high for 6%. The results can be used for future estimation of flood generation and flood wave propagation processes and for improvement and optimization of flood management practices and strategies on rivers weakly studied from hydrology point of view.

Open access

Ana Jeleapov

Abstract

Present study is dedicated to assessment and analysis of flood runoff and its spatial distribution in the limits of the Republic of Moldova. SCS-CN model and GIS were used as main methods and techniques for runoff assessment. Main components which were considered for flood runoff estimation are soils (soil texture and moisture condition), land cover and rainfall (for 1% probability). The results showed the region that is the most affected by flood runoff is northern part of the republic with flood runoff >100 mm, the lowest flood runoff values being estimated for the southern part of the country with <50 mm. Soil moisture conditions have a important impact on flood runoff amount, increasing its averages with 30 to 60% in case of wet condition and decreasing it with 35-65% in case of dry soil. It was also observed that flood runoff distribution is highly influenced by land cover, the average values being twice as high in urban area than under natural vegetation.