Evaluation of collapse sensitivity of loess soils and its effect on the distribution pattern of pseudokarst sinkholes at the regional scale (case study: Golestan Province, northeastern Iran)-Reference-Cited by-同舟云学术

Evaluation of collapse sensitivity of loess soils and its effect on the distribution pattern of pseudokarst sinkholes at the regional scale (case study: Golestan Province, northeastern Iran)

Published:2022-05-30 Issue:3 Volume:112 Page:1883-1902
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Zalaghaie Seddighe,Heidari Mojtaba^ORCID,Nikudel Mohammad Reza

Funder

Bu-Ali Sina University

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-021-05203-9.pdf

Reference48 articles.

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2. Amiri M, Pourghasemi, H.R (2020) Mapping and preparing a susceptibility map of gully erosion using the MARS Model. In: Shit P, Pourghasemi H (eds) Gully erosion studies from India and surrounding regions. Springer, Cham, pp. 405–413. https://doi.org/10.1007/978-3-030-23243-6_27.

3. Arabameri A, Pradhan B, Pourghasemi HR, Rezaei K, Kerle N (2018) Spatial modelling of gully erosion using GIS and R Programing: a comparison among three data mining algorithms. Appl Sci 8(8):1369. https://doi.org/10.3390/app8081369

4. Arabameri A, Pradhan B, Rezaei K (2019a) Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models. Geosci J. https://doi.org/10.1007/s12303-018-0067-3

5. Arabameri A, Pradhan B, Rezaei K, Sohrabi M, Kalantari Z (2019b) GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms. J Mt Sci 16(3):595–618. https://doi.org/10.1007/s11629-018-5168-y

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1. Synergistic effect of rainfall and pipe leakage erosion on the formation and development of loess caves in Weinan city, Loess Plateau, Northwest China;Environmental Earth Sciences;2023-08-31

2. Application of ordinal logistic and gene expression programming methods to predict the collapse sensitivity classes of loess soils, a case study: Golestan Province, northeastern Iran;Environmental Monitoring and Assessment;2023-01-17