TY  - CONF
AU  - Andrejev, Katarina
AU  - Krušić, Jelka
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/896
AB  - This paper represents a relative landslide risk assessment of the City of Valjevo in Western Serbia. After the extreme rainfall during the May 2014, many new landslides were triggered, and Valjevo was one of the most affected areas in Serbia. The modeling was preceded by the data selection, and included ranging and preprocessing of the conditioning factors. The following eight factors were chosen as representative: stream distance, slope, lithology, elevation, distance from hydrogeological borders, land use, erodibility and aspect. Landslide susceptibility analysis was completed using the Analytical Hierarchy Process (AHP) multi-criteria method. Validation was performed by cross-referencing with an existing landslide inventory, which was made by field mapping and interpretation of satellite images. Finally, the relative risk was determined for the City of Valjevo by using a realistic population distribution model as a source for elements at risk. The results show the distribution of risk and suggest that 20% of the inhabited area falls into the high risk class, but this encompasses less than 5% of the total population.
C3  - Advancing Culture of Living With Landslides, Vol 5: Landslides in Different Environments
T1  - Relative Landslide Risk Assessment for the City of Valjevo
EP  - 533
SP  - 525
DO  - 10.1007/978-3-319-53483-1_62
ER  - 

@conference{
author = "Andrejev, Katarina and Krušić, Jelka and Đurić, Uroš and Marjanović, Miloš and Abolmasov, Biljana",
year = "2017",
abstract = "This paper represents a relative landslide risk assessment of the City of Valjevo in Western Serbia. After the extreme rainfall during the May 2014, many new landslides were triggered, and Valjevo was one of the most affected areas in Serbia. The modeling was preceded by the data selection, and included ranging and preprocessing of the conditioning factors. The following eight factors were chosen as representative: stream distance, slope, lithology, elevation, distance from hydrogeological borders, land use, erodibility and aspect. Landslide susceptibility analysis was completed using the Analytical Hierarchy Process (AHP) multi-criteria method. Validation was performed by cross-referencing with an existing landslide inventory, which was made by field mapping and interpretation of satellite images. Finally, the relative risk was determined for the City of Valjevo by using a realistic population distribution model as a source for elements at risk. The results show the distribution of risk and suggest that 20% of the inhabited area falls into the high risk class, but this encompasses less than 5% of the total population.",
journal = "Advancing Culture of Living With Landslides, Vol 5: Landslides in Different Environments",
title = "Relative Landslide Risk Assessment for the City of Valjevo",
pages = "533-525",
doi = "10.1007/978-3-319-53483-1_62"
}

Andrejev, K., Krušić, J., Đurić, U., Marjanović, M.,& Abolmasov, B.. (2017). Relative Landslide Risk Assessment for the City of Valjevo. in Advancing Culture of Living With Landslides, Vol 5: Landslides in Different Environments, 525-533.
https://doi.org/10.1007/978-3-319-53483-1_62

Andrejev K, Krušić J, Đurić U, Marjanović M, Abolmasov B. Relative Landslide Risk Assessment for the City of Valjevo. in Advancing Culture of Living With Landslides, Vol 5: Landslides in Different Environments. 2017;:525-533.
doi:10.1007/978-3-319-53483-1_62 .

Andrejev, Katarina, Krušić, Jelka, Đurić, Uroš, Marjanović, Miloš, Abolmasov, Biljana, "Relative Landslide Risk Assessment for the City of Valjevo" in Advancing Culture of Living With Landslides, Vol 5: Landslides in Different Environments (2017):525-533,
https://doi.org/10.1007/978-3-319-53483-1_62 . .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Krušić, Jelka
AU  - Andrejev, Katarina
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/817
AB  - The IPL project No 210, titled "Massive landsliding in Serbia following Cyclone Tamara in May 2014", started in March 2016. The study area is located in the Western and Central part of the Republic of Serbia territory affected by Cyclone Tamara in May 2014. The project aims to summarize and analyse all collected relevant data, including historic and current rainfall, landslide records, aftermath reports, and environmental features datasets from the May 2014 sequence. Objectives of the proposed project include: collecting all available and acquired landslide data, analysing the trigger/landslide relation in a feasible time span and in the May 2014 event, relating the landslide mechanisms and magnitudes versus the trigger, identifying spatial patterns and relationships between landslides and geological and environmental controls, proposing an overview susceptibility map of the event and numerical modelling of the site-specific location and landslide mechanisms. The Project will be organized by University of Belgrade, Faculty of Mining and Geology and Faculty of Civil Engineering. Project beneficiaries are local community and local and regional authorities. In this paper we will present preliminary results of the proposed project targets performed by project participants.
C3  - Advancing Culture of Living With Landslides, Vol 1: Isdr-Icl Sendai Partnerships 2015-2025
T1  - Massive Landsliding in Serbia Following Cyclone Tamara in May 2014 (IPL-210)
EP  - 484
SP  - 473
DO  - 10.1007/978-3-319-59469-9_41
ER  - 

@conference{
author = "Abolmasov, Biljana and Marjanović, Miloš and Đurić, Uroš and Krušić, Jelka and Andrejev, Katarina",
year = "2017",
abstract = "The IPL project No 210, titled "Massive landsliding in Serbia following Cyclone Tamara in May 2014", started in March 2016. The study area is located in the Western and Central part of the Republic of Serbia territory affected by Cyclone Tamara in May 2014. The project aims to summarize and analyse all collected relevant data, including historic and current rainfall, landslide records, aftermath reports, and environmental features datasets from the May 2014 sequence. Objectives of the proposed project include: collecting all available and acquired landslide data, analysing the trigger/landslide relation in a feasible time span and in the May 2014 event, relating the landslide mechanisms and magnitudes versus the trigger, identifying spatial patterns and relationships between landslides and geological and environmental controls, proposing an overview susceptibility map of the event and numerical modelling of the site-specific location and landslide mechanisms. The Project will be organized by University of Belgrade, Faculty of Mining and Geology and Faculty of Civil Engineering. Project beneficiaries are local community and local and regional authorities. In this paper we will present preliminary results of the proposed project targets performed by project participants.",
journal = "Advancing Culture of Living With Landslides, Vol 1: Isdr-Icl Sendai Partnerships 2015-2025",
title = "Massive Landsliding in Serbia Following Cyclone Tamara in May 2014 (IPL-210)",
pages = "484-473",
doi = "10.1007/978-3-319-59469-9_41"
}

Abolmasov, B., Marjanović, M., Đurić, U., Krušić, J.,& Andrejev, K.. (2017). Massive Landsliding in Serbia Following Cyclone Tamara in May 2014 (IPL-210). in Advancing Culture of Living With Landslides, Vol 1: Isdr-Icl Sendai Partnerships 2015-2025, 473-484.
https://doi.org/10.1007/978-3-319-59469-9_41

Abolmasov B, Marjanović M, Đurić U, Krušić J, Andrejev K. Massive Landsliding in Serbia Following Cyclone Tamara in May 2014 (IPL-210). in Advancing Culture of Living With Landslides, Vol 1: Isdr-Icl Sendai Partnerships 2015-2025. 2017;:473-484.
doi:10.1007/978-3-319-59469-9_41 .

Abolmasov, Biljana, Marjanović, Miloš, Đurić, Uroš, Krušić, Jelka, Andrejev, Katarina, "Massive Landsliding in Serbia Following Cyclone Tamara in May 2014 (IPL-210)" in Advancing Culture of Living With Landslides, Vol 1: Isdr-Icl Sendai Partnerships 2015-2025 (2017):473-484,
https://doi.org/10.1007/978-3-319-59469-9_41 . .