Preprint Article Version 2 This version is not peer-reviewed

Geoinformation Modeling of Flooded Areas in Settlements (in the Example of Lutsk)

Version 1 : Received: 3 February 2018 / Approved: 5 February 2018 / Online: 5 February 2018 (15:49:07 CET)
Version 2 : Received: 18 June 2018 / Approved: 19 June 2018 / Online: 19 June 2018 (09:54:31 CEST)

How to cite: Shostak, A.; Voloshyn, V.; Melnyk, O.; Manko, P.. Geoinformation Modeling of Flooded Areas in Settlements (in the Example of Lutsk). Preprints 2018, 2018020042 (doi: 10.20944/preprints201802.0042.v2). Shostak, A.; Voloshyn, V.; Melnyk, O.; Manko, P.. Geoinformation Modeling of Flooded Areas in Settlements (in the Example of Lutsk). Preprints 2018, 2018020042 (doi: 10.20944/preprints201802.0042.v2).

Abstract

Object. Flooding in Ukraine is a common natural phenomenon that repeats periodically and in some cases it becomes disastrous. In an average year floods on the rivers of Volyn region take place from one to three times which extend beyond the limits of the floodplain. The floodplain of Styr river is located in the historical center of Lutsk city, that`s why issues of research and forecasting of floods are very important for a given city. Methodology. Using modern technologies of geodesy and remote sensing allows to quickly determine and predict the floodplain area of settlements. Based on the statistical data of the Volyn Regional Center for Hydrometeorology during the 7 year period 2011-2017 about water levels of the river Styr. We conducted mathematical modeling of fluctuations of water levels within the territory of Lutsk, based on creating a partial Fourier series for discrete values of middle-ten-day water levels values. The post hydrological measurements of Styr river water levels in the territory of Lutsk located on the Shevchenko Street comply with an altitude 172.87 meters. Based on the data of short-term flood forecasting in February and March, and relief data from the Department of Architecture and Urban Development of Volyn State Administration, we conducted visualization of the results using geographic information system QGIS. Results. The results of mathematical processing were the basis for geoinformation simulation of flooded areas using remote sensing data that are publicly available. Use of statistical and geospatial data in this article has great potential for further application in modeling the processes of natural and technogenic origin. Scientific novelty. The mathematical model of short-term forecasting of water levels during the flood period on the river Styr with implementation of geoinformation modeling of flooded areas using remote sensing data is proposed. Practical significance. The research results of water level changes on the Styr River and flood zones within the limits of Lutsk is proposed. The spring flood in February-March 2018, with the maximum water level 5.33 m, corresponds to an absolute mark of 178.20 m, which is forecasted in this article.

Subject Areas

geoinformation modeling; settlement territory; approximation; digital terrain models; TIN-models; water level; flood process

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