Short Communication

Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula

Volume: 9 Number: 1 March 6, 2022
EN

Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula

Abstract

Article is devoted to statistical analysis of the influence of the surface water of Kerch Peninsula on landslides. We chose a distance from water as indicator that can be express the impact of surface water on landslides. The territory of the peninsula was divided into 5 classes according to the degree of distance. Thus, according to the results of the study, it was found that the greatest impact on landslides is observed at a distance of up to 500 m. On the other hand, it is noted that there is no effect of surface water on landslides at a distance over 2 km.

Keywords

References

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  6. Krivoguz, D. O., & Burtnik, D. N. (2018). Neural network modeling of changes in the land cover of the Kerch peninsula in the context of landslides occurence. Nauchno-Tekhnicheskiy Vestnik Bryanskogo Gosudarstvennogo Universiteta, 4(1), 113–121. https://doi.org/10.22281/2413-9920-2018-04-01-113-121
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Details

Primary Language

English

Subjects

Environmental Sciences, Human Geography

Journal Section

Short Communication

Authors

Publication Date

March 6, 2022

Submission Date

July 10, 2020

Acceptance Date

September 11, 2021

Published in Issue

Year 2022 Volume: 9 Number: 1

APA
Krivoguz, D. (2022). Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula. International Journal of Environment and Geoinformatics, 9(1), 60-63. https://doi.org/10.30897/ijegeo.767519
AMA
1.Krivoguz D. Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula. IJEGEO. 2022;9(1):60-63. doi:10.30897/ijegeo.767519
Chicago
Krivoguz, Denis. 2022. “Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula”. International Journal of Environment and Geoinformatics 9 (1): 60-63. https://doi.org/10.30897/ijegeo.767519.
EndNote
Krivoguz D (March 1, 2022) Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula. International Journal of Environment and Geoinformatics 9 1 60–63.
IEEE
[1]D. Krivoguz, “Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula”, IJEGEO, vol. 9, no. 1, pp. 60–63, Mar. 2022, doi: 10.30897/ijegeo.767519.
ISNAD
Krivoguz, Denis. “Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula”. International Journal of Environment and Geoinformatics 9/1 (March 1, 2022): 60-63. https://doi.org/10.30897/ijegeo.767519.
JAMA
1.Krivoguz D. Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula. IJEGEO. 2022;9:60–63.
MLA
Krivoguz, Denis. “Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula”. International Journal of Environment and Geoinformatics, vol. 9, no. 1, Mar. 2022, pp. 60-63, doi:10.30897/ijegeo.767519.
Vancouver
1.Denis Krivoguz. Statistical Analysis Of Hydrological Drivers Of Landslide Inducing Factors Using Weights Of Evidence Approach On Kerch Peninsula. IJEGEO. 2022 Mar. 1;9(1):60-3. doi:10.30897/ijegeo.767519

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