TY  - CONF
AU  - Marjanović, Miloš
AU  - Sandić, Cvjetko
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3357
AB  - Although without official standardization, landslide susceptibility models (LSM) have entered preliminary stages of design and planning practice worldwide. As design and planning itself undergoes from lower to higher level of detail, different scales of LSM apply. Nevertheless, the LSMs are mainly produced in regional scales, whereas national and local are rarely available. Limitations of downscaling and upscaling LSMs are considered herein, by comparing LSMs coming from continental scale on one hand, and regional scale on the other, while the validation was performed using national scale model (Figure 1) at 30 m pixel resolution. Pan- European model (Wilde et al. 2018) is downscaled from 200 to 30 m pixel resolution using re-gridding method based on various interpolation techniques (linear, spline, Kriging) over the area of the City of Doboj in Republic of Srpska (Bosnia and Herzegovina). The LSM for the City of Doboj (Sandić et al. 2023) was upscaled from 5 to 30 m resolution using various resampling techniques (nearest neighbor, bilinear interpolation and cubic convolution). All maps were made using heuristic or combined heuristic approaches with standard landslide conditioning factors as raster inputs (geological, geomorphological, environmental, etc.). The best performing downscaling option was spline interpolation, while cubic convolution gave the best match against the referent LSM for the upscaling. Other downscaling variants tend to pixelate the map at 30 m resolution, whereas upscaling was not that considerably affected by technique choice. For large scale urban planning and preliminary design it is important to avoid pixilation as much as possible and smoothen the susceptibility classes so they can be compared against various elements, such as road and railway network features (higher-order curves, bridges, tunnels) and urban fabric footprints (housing, industrial, infrastructure). Results indicate that downscaling can be misleading and should be avoided if there is time and resource to perform appropriate local or regional scale LSM.
PB  - OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy
C3  - 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
T1  - Upscaling and downscaling landslide susceptibility maps
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3357
ER  - 

@conference{
author = "Marjanović, Miloš and Sandić, Cvjetko and Đurić, Uroš and Abolmasov, Biljana",
year = "2023",
abstract = "Although without official standardization, landslide susceptibility models (LSM) have entered preliminary stages of design and planning practice worldwide. As design and planning itself undergoes from lower to higher level of detail, different scales of LSM apply. Nevertheless, the LSMs are mainly produced in regional scales, whereas national and local are rarely available. Limitations of downscaling and upscaling LSMs are considered herein, by comparing LSMs coming from continental scale on one hand, and regional scale on the other, while the validation was performed using national scale model (Figure 1) at 30 m pixel resolution. Pan- European model (Wilde et al. 2018) is downscaled from 200 to 30 m pixel resolution using re-gridding method based on various interpolation techniques (linear, spline, Kriging) over the area of the City of Doboj in Republic of Srpska (Bosnia and Herzegovina). The LSM for the City of Doboj (Sandić et al. 2023) was upscaled from 5 to 30 m resolution using various resampling techniques (nearest neighbor, bilinear interpolation and cubic convolution). All maps were made using heuristic or combined heuristic approaches with standard landslide conditioning factors as raster inputs (geological, geomorphological, environmental, etc.). The best performing downscaling option was spline interpolation, while cubic convolution gave the best match against the referent LSM for the upscaling. Other downscaling variants tend to pixelate the map at 30 m resolution, whereas upscaling was not that considerably affected by technique choice. For large scale urban planning and preliminary design it is important to avoid pixilation as much as possible and smoothen the susceptibility classes so they can be compared against various elements, such as road and railway network features (higher-order curves, bridges, tunnels) and urban fabric footprints (housing, industrial, infrastructure). Results indicate that downscaling can be misleading and should be avoided if there is time and resource to perform appropriate local or regional scale LSM.",
publisher = "OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy",
journal = "6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book",
title = "Upscaling and downscaling landslide susceptibility maps",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3357"
}

Marjanović, M., Sandić, C., Đurić, U.,& Abolmasov, B.. (2023). Upscaling and downscaling landslide susceptibility maps. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy..
https://hdl.handle.net/21.15107/rcub_grafar_3357

Marjanović M, Sandić C, Đurić U, Abolmasov B. Upscaling and downscaling landslide susceptibility maps. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3357 .

Marjanović, Miloš, Sandić, Cvjetko, Đurić, Uroš, Abolmasov, Biljana, "Upscaling and downscaling landslide susceptibility maps" in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3357 .

TY  - JOUR
AU  - Marjanović, Miloš
AU  - Krautblatter, Michael
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Sandić, Cvjetko
AU  - Nikolić, Velizar
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/951
AB  - This paper focuses on modeling rainfall-induced massive landsliding in the Western Serbia in the 2001-2014 period. The motivation for conducting the study was the rainfall-induced flooding and landsliding that took place across most of the Serbia and Bosnia and Herzegovina in May 2014, and had devastating effects, including human casualties, and destruction of natural and urban environment. In the first part of the study, the general analysis was conducted. It includes a wide area (70,000 km(2)), wherein spatial rainfall patterns were identified using the monthly rainfall data from the 2001-2014. Areas that have higher monthly precipitation than the baseline monthly rainfall (1961-90) were outlined. One location within these zones was chosen as critical Loznica in Western Serbia. The area of Loznica was further examined: comparison between local daily rainfall and local landslide events recorded in 2001-2014; correlation between specific rainfall conditions, i.e. cumulative rainfall for different time windows, and the landsliding events in the specified period; identification of additional non-reported rainfall events that were potentially responsible for landsliding; analyses of the rainfall thresholds and temporal rainfall distribution. The Decision Tree algorithm was used to identify rainfall conditions that triggered landslides in the specified period. It was hypothesized that short-term rainfall has less influence on massive landsliding than the mid/long-term rainfall. Unlike other black-box techniques, Decision Tree-based modeling gives a good insight into the thresholding process. Namely, it was possible to follow the Decision Tree structure and reconstruct the critical cumulative rainfall distribution and thresholds that have led to landsliding. The main findings suggest that a high-yield mid-term rainfall (2 and 3-day rainfall) are the most important for massive landsliding, while long-term cumulative rainfall (30-day) has some additional influence in the case of Loznica. The upper threshold values extracted from the original, and appended synthetic rainfall events were about 30 mm for 2- and 3-day rainfall, and 140 mm for 30-day rainfall, which is in agreement with the evidence of the May 2014 event. It is thereby shown how proposed approach can be used preliminarily in the case of rainfall/landslide data scarcity for rough threshold estimation and extrapolation. However, limitations regarding utilization of such data must be accounted for.
PB  - Elsevier B.V.
T2  - Engineering Geology
T1  - The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique
EP  - 159
SP  - 147
VL  - 232
DO  - 10.1016/j.enggeo.2017.11.021
ER  - 

@article{
author = "Marjanović, Miloš and Krautblatter, Michael and Abolmasov, Biljana and Đurić, Uroš and Sandić, Cvjetko and Nikolić, Velizar",
year = "2018",
abstract = "This paper focuses on modeling rainfall-induced massive landsliding in the Western Serbia in the 2001-2014 period. The motivation for conducting the study was the rainfall-induced flooding and landsliding that took place across most of the Serbia and Bosnia and Herzegovina in May 2014, and had devastating effects, including human casualties, and destruction of natural and urban environment. In the first part of the study, the general analysis was conducted. It includes a wide area (70,000 km(2)), wherein spatial rainfall patterns were identified using the monthly rainfall data from the 2001-2014. Areas that have higher monthly precipitation than the baseline monthly rainfall (1961-90) were outlined. One location within these zones was chosen as critical Loznica in Western Serbia. The area of Loznica was further examined: comparison between local daily rainfall and local landslide events recorded in 2001-2014; correlation between specific rainfall conditions, i.e. cumulative rainfall for different time windows, and the landsliding events in the specified period; identification of additional non-reported rainfall events that were potentially responsible for landsliding; analyses of the rainfall thresholds and temporal rainfall distribution. The Decision Tree algorithm was used to identify rainfall conditions that triggered landslides in the specified period. It was hypothesized that short-term rainfall has less influence on massive landsliding than the mid/long-term rainfall. Unlike other black-box techniques, Decision Tree-based modeling gives a good insight into the thresholding process. Namely, it was possible to follow the Decision Tree structure and reconstruct the critical cumulative rainfall distribution and thresholds that have led to landsliding. The main findings suggest that a high-yield mid-term rainfall (2 and 3-day rainfall) are the most important for massive landsliding, while long-term cumulative rainfall (30-day) has some additional influence in the case of Loznica. The upper threshold values extracted from the original, and appended synthetic rainfall events were about 30 mm for 2- and 3-day rainfall, and 140 mm for 30-day rainfall, which is in agreement with the evidence of the May 2014 event. It is thereby shown how proposed approach can be used preliminarily in the case of rainfall/landslide data scarcity for rough threshold estimation and extrapolation. However, limitations regarding utilization of such data must be accounted for.",
publisher = "Elsevier B.V.",
journal = "Engineering Geology",
title = "The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique",
pages = "159-147",
volume = "232",
doi = "10.1016/j.enggeo.2017.11.021"
}

Marjanović, M., Krautblatter, M., Abolmasov, B., Đurić, U., Sandić, C.,& Nikolić, V.. (2018). The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique. in Engineering Geology
Elsevier B.V.., 232, 147-159.
https://doi.org/10.1016/j.enggeo.2017.11.021

Marjanović M, Krautblatter M, Abolmasov B, Đurić U, Sandić C, Nikolić V. The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique. in Engineering Geology. 2018;232:147-159.
doi:10.1016/j.enggeo.2017.11.021 .

Marjanović, Miloš, Krautblatter, Michael, Abolmasov, Biljana, Đurić, Uroš, Sandić, Cvjetko, Nikolić, Velizar, "The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique" in Engineering Geology, 232 (2018):147-159,
https://doi.org/10.1016/j.enggeo.2017.11.021 . .

TY  - CONF
AU  - Sandić, Cvjetko
AU  - Đurić, Uroš
AU  - Novaković, Toplica
PY  - 2010
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2059
AB  - U radu su prikazane najčešće metode proračuna nosivosti vertikalno opterećenog šipa, zasnovane na rezultatima terenskih istraživanja (probnom opterećenju šipa i opitima statičke penetracije - CPT). Za analizu su iskorišćeni podaci dobijeni od starne Instituta za ispitivanje materijala Srbije - IMS, za dve relativno bliske lokacije u Novom Beogradu (blokovi 29 i 32). U pitanju je teren izgrađen od aluvijalnih sedimenata sličnih litoloških i geomehaničkih karakteristika.
PB  - AGM knjiga
PB  - Rudarsko-geološki fakultet, Departman za Geotehniku
C3  - Savremene metode i alati u geotehnologiji, Zbornik radova IV regionalnog kongresa studenata geotehnoloških fakulteta
T1  - Terenske metode određivanja nosivosti vertikalno opterećenog šipa u peskovitom tlu
EP  - 21
SP  - 11
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2059
ER  - 

@conference{
author = "Sandić, Cvjetko and Đurić, Uroš and Novaković, Toplica",
year = "2010",
abstract = "U radu su prikazane najčešće metode proračuna nosivosti vertikalno opterećenog šipa, zasnovane na rezultatima terenskih istraživanja (probnom opterećenju šipa i opitima statičke penetracije - CPT). Za analizu su iskorišćeni podaci dobijeni od starne Instituta za ispitivanje materijala Srbije - IMS, za dve relativno bliske lokacije u Novom Beogradu (blokovi 29 i 32). U pitanju je teren izgrađen od aluvijalnih sedimenata sličnih litoloških i geomehaničkih karakteristika.",
publisher = "AGM knjiga, Rudarsko-geološki fakultet, Departman za Geotehniku",
journal = "Savremene metode i alati u geotehnologiji, Zbornik radova IV regionalnog kongresa studenata geotehnoloških fakulteta",
title = "Terenske metode određivanja nosivosti vertikalno opterećenog šipa u peskovitom tlu",
pages = "21-11",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2059"
}

Sandić, C., Đurić, U.,& Novaković, T.. (2010). Terenske metode određivanja nosivosti vertikalno opterećenog šipa u peskovitom tlu. in Savremene metode i alati u geotehnologiji, Zbornik radova IV regionalnog kongresa studenata geotehnoloških fakulteta
AGM knjiga., 11-21.
https://hdl.handle.net/21.15107/rcub_grafar_2059

Sandić C, Đurić U, Novaković T. Terenske metode određivanja nosivosti vertikalno opterećenog šipa u peskovitom tlu. in Savremene metode i alati u geotehnologiji, Zbornik radova IV regionalnog kongresa studenata geotehnoloških fakulteta. 2010;:11-21.
https://hdl.handle.net/21.15107/rcub_grafar_2059 .

Sandić, Cvjetko, Đurić, Uroš, Novaković, Toplica, "Terenske metode određivanja nosivosti vertikalno opterećenog šipa u peskovitom tlu" in Savremene metode i alati u geotehnologiji, Zbornik radova IV regionalnog kongresa studenata geotehnoloških fakulteta (2010):11-21,
https://hdl.handle.net/21.15107/rcub_grafar_2059 .