DATE2018-05-21 11:46:43
IDABSTRACT20180521114643-0251
CONTACTjelka.krusic@rgf.bg.ac.rs
PRESENTATIONORAL
INVITED0
IDSESSION4
TITLEDENSIFYING THE RAINFALL DATA FOR THE LANDSLIDE HAZARD ASSESSMENT
AUTHORSM Samardzić-Petrović (1), M Marjanović (2), J Krušić (2), A Sekulić (1), B Abolmasov (2)
AFFILIATIONS
  1. Fac. of Civil Engineering, University of Belgrade, Belgrade, Serbia
  2. Fac. of Mining and Geology, University of Belgrade, Belgrade, Serbia
ABSTRACTIntensive and durable rainfall is one of the most common landslide triggers. The relationship between rainfall intensity and duration is what usually defines the landsliding threshold, for certain type of landslides (e.g. shallow slides). On the other hand, this relation is difficult to establish since the data sources require both, an impeccable landslide inventory with accurately dated events, as well as an hourly or sub-hourly rainfall repository. In this research, we will be focusing on the latter, and attempt to densify the rainfall data by using TRMM (Tropical Rainfall Measuring Mission) products. Its relatively coarse grid opens an opportunity to apply advanced spatial statistics interpolation techniques. The original grid centroids were used as interpolation points, whereas, ground truth for validating was used from the official Hydro-Meteorological Service of Serbia. The test area involves western Serbia as a pilot site affected by massive landsliding in 2010 and 2014. Namely, in 2014 many landslides occurred as a result of cyclone Tamara effect. In this extreme event, maximum, 72h precipitation was recorded in this region, exceeding 200 mm. Results are indicating that the rainfall-landslide thresholding can benefit from the spatial interpolation based densifying of the rainfall data, and can provide the basis for landsliding threshold definition, as well as for landslide hazard assessment map production.
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