A comparative study of land subsidence susceptibility mapping of Tasuj plane, Iran, using boosted regression tree, random forest and classification and regression tree methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82242" target="_blank" >RIV/60460709:41330/20:82242 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs12665-020-08953-0" target="_blank" >https://link.springer.com/article/10.1007%2Fs12665-020-08953-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12665-020-08953-0" target="_blank" >10.1007/s12665-020-08953-0</a>
Alternative languages
Result language
angličtina
Original language name
A comparative study of land subsidence susceptibility mapping of Tasuj plane, Iran, using boosted regression tree, random forest and classification and regression tree methods
Original language description
Land subsidence occurrence in the Tasuj plane is becoming more frequent and hazardous in the near future due to the water crisis. To mitigate damage caused by land subsidence events, it is necessary to determine the susceptible or prone areas. This study focuses on producing and comparing land subsidence susceptibility map (LSSM) using boosted regression tree (BRT), random forest (RF), and classification and regression tree (CART) approaches with twelve influencing variables, namely altitude, slope angle, aspect, groundwater level, groundwater level change, land cover, lithology, distance to fault, distance to stream, stream power index, topographic wetness index, and plan curvature. Moreover, by implementing the Relief-F feature selection method, the most important variables in LSSM procedure were identified. The performance of the adopted methods was assessed using the area under the receiver operating characteristics curve (AUROC) and statistical evaluation indexes. The results showed that all the
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50704 - Environmental sciences (social aspects)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Earth Sciences
ISSN
1866-6280
e-ISSN
1866-6299
Volume of the periodical
79
Issue of the periodical within the volume
10
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
1-12
UT code for WoS article
000536301000005
EID of the result in the Scopus database
2-s2.0-85084519612