Dr. Georgy Koshinchanov Profile

Dr. Georgy Koshinchanov

at National Institute of Meteorology and Hydrology

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Proceedings Article | 27 June 2019 Paper

Hydrological modelling using remote sensing techniques in Bulgaria

Georgy Koshinchanov, Snezhanka Balabanova

Proceedings Volume 11174, 111740Z (2019) https://doi.org/10.1117/12.2533155

KEYWORDS: Data modeling, Satellites, Mathematical modeling, Statistical modeling, Performance modeling, Modeling, Remote sensing, Hydrology, Meteorology

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The availability of detailed well distributed in space information on precipitation is of essential importance for the hydrological modeling and forecasting. Conventional measurements of precipitation are in a limited number of points represented by synoptic, climatic and precipitation stations. This information is not sufficient for correct spatial distribution of precipitation. The distribution of the ground stations are quite irregular and thus distances between stations could be quite big, sometimes more than 35 km. On the other hand, precipitation has high variability in space. One of the possibilities to achieve high density gridded precipitation is remote sensing techniques such as products derived from satellites, radars etc. One of the aims HSAF project is to produce different products for precipitation, snow and soil moisture in order to facilitate the hydrological modelling. Bulgaria, in particular NIMH, is a partner in HSAF project since 2009 and the obligations are to validate and hydrovalidate these products. This paper will present simulations with MIKE11 and Artificial Neural Networks (ANN) over two different basins in Bulgaria using precipitation data from the HSAF's H05 product. Analyses will be made using data for the period June 2016 - May 2017. Conclusions will be made on the behaviour of the precipitation product over the two basins and will be discussed the possibility to use this product.

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