Affiliation:
1. Department of Photogrammetry and Geoinformation, Institute of Geodesy, Lviv Polytechnic National University, 79013 Lviv, Ukraine
2. Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, 00-661 Warsaw, Poland
Abstract
This paper proposes a general methodological approach to hydrological modeling for determining the areas of flooded land in the plain part of the Dniester riverbed, the second largest river in Ukraine. The purpose of the study is the selection of parameters for modeling flooded zones in the plain section of the Dniester riverbed, taking into account the rising water level caused by the freshet that occurred in the western part of Ukraine on 22–24 June 2020. The proposed study examines the workflow of hydrological modeling of the flooded land zone and the main components of this scheme: the construction of the DTM, considering the roughness of the riparian territory by Manning’s coefficients, and indications of water rise. In the experiment, the influence of DTM reproduction resolution and Manning coefficients was analyzed, and their optimal values were selected, which allowed obtaining the parameters of hydrological modeling with a higher probability. The identified flooding areas were tested using a high-resolution space image during the flood in June 2020. The distance between the profiles affects not only the value of the modeling area but also their detail. The accuracy of the modeled flooded area is 5.1% for a 5 m interval between the profiles, 6.9% for 50 m, 8.2% for 100 m, and 10.8% for 200 m. These results allow determining the degree of influence of the distance between intervals on the modeling accuracy. Using different values of Manning’s coefficients for individual sections with different bedding surfaces and the selected spacing between profiles, which was 50 m, the accuracy of the modeling was investigated. After the modelling, the simulated flood areas were obtained in vector form, which allows for determining their areas and comparing them with the test flooded area. In the presented research, the RMSE of determining the flooded areas is about 5%. The test area of 600.6 hectares was determined with an accuracy of 0.8%.
Funder
Polish National Agency for Academic Exchange
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference34 articles.
1. Assessment of the transformation of the Dniester hydrological regime and the risk of extreme floods. Hydrology, hydrochemistry and hydroecology;Kovalchuk;Sci. Collect.,2002
2. (2022, December 25). Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the Assessment and Management of Flood Risks. Available online: http://data.europa.eu/eli/dir/2007/60/oj.
3. ISOK (Informatyczny System Osłony Kraju Przed Nadzwyczajnymi Zagrożeniami) (2022, December 25). Electronic Resource, Available online: https://www.gugik.gov.pl/projekty/isok.
4. Kurczyński, Z., and Bakuła, K. (2013, January 15–21). The selection of aerial laser scanning parameters for countrywide digital elevation model creation. Proceedings of the 13th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing. SGEM2013 Conference Proceedings, Albena, Bulgaria.
5. A unit hydrograph study, with particular reference to British catchments;Nash;Proc. Inst. Civ. Eng.,1960
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献