Volume 76 (2023)
Volume 75 (2022)
Volume 74 (2021)
Volume 73 (2020)
Volume 72 (2019)
Volume 71 (2018)
Volume 70 (2017)
Volume 69 (2016)
Volume 68 (2015)
Volume 67 (2014)
Volume 66 (2013)
Volume 65 (2012)
Volume 63 (2010)
Volume 62 (2009)
Spatial prediction of shallow landslides using statistical and machine learning models (case study: Sarkhoon watershed)

Zahra Barati; Ebrahim Omidvar; Ataollah Shirzadi

Volume 71, Issue 4 , March 2019, , Pages 869-884


  Landslide susceptibility mapping is considered as the first important step in landslide risk assessment. The main purpose of this study is to compare the performance of a machine learning algorithm (a logistic model tree), and a statistical model (a logistic regression), for landslide susceptibility ...  Read More

Investigation of factors affecting landslide and their susceptibility zoning in Latyan catchment.

Asghar Kouhpeima; Sadat Feiznia

Volume 71, Issue 4 , March 2019, , Pages 1073-1083


  Landslide causes many social and economic losses in many parts of the world every year. These losses can be greatly reduced by using appropriate management measures such as mapping landslide susceptibility mapping in the basin. The aim of this study is landslide susceptibility mapping using Mahalanobis ...  Read More

Modelling and Assessment of Landslide Susceptibility Zonation (Case Study: Semirom Basin)

ALIREZA Arabameri; kourosh shirani; khalil rezai; mojtaba yamani

Volume 70, Issue 4 , January 2018, , Pages 921-939


  landslides situation recognized using interpreting the aerial photos and extensive field measurements. Among total number of 200 identified landslides, %70 (140 landslides) of them have been utilized for model executing and %30 (60 landslides) of them for verification randomly. This research criteria ...  Read More

Landslide hazard zonation using F-AHP method and proposition of appropriate preventive procedures (A Case Study: Nekaroud watershed)

Ommolbanin Kazemi Gordgi; Hasan Ahmadi; Mohammad Jafari

Volume 70, Issue 3 , December 2017, , Pages 763-775


  The ultimate aim of any research on the mass movement processes is to prepare zonation map and classify area into different degrees of hazard in order to mitigating related damages. This study was undertaken using F-AHP & GIS within Nekaroud watershed in Mazandaran province. Pairwise comparisons ...  Read More

Landslide Hazard Zonation Using SMCE Method and AHP Technic (Case Study: Hafshejan Watershed, Chaharmahal-o-Bakhtiari)

Payam Ebrahimi; mehdi Eslah; Maryam Azarakhshi

Volume 70, Issue 1 , June 2017, , Pages 1-18


  One kind of the mass wasting which takes much toll and leaves much damage in the world and many locations in Iran is landslide. Landslide susceptibility mapping allows recognizing susceptible areas to be considered in environmental programs. Present research is aimed at Landslide susceptibility mapping ...  Read More

Investigation of the efficiency of SINMAP and SHALSTAB Physically-based Models for landslide hazard zonation (Case Study: Chahar Donge region, Mazandaran Province)

Alireza Motevali; Ali Talebi; Mehrdad Safaei; Mohammadreza Ekhtesasi

Volume 70, Issue 1 , June 2017, , Pages 207-218


  Landslide is one of the most important geological phenomena in northern slopes of Iran (Alborz) which causes considerable damages gradually. In the last few years, due to unfavorable changes in land uses and increasing degradation of pastures, forests and farmlands as well as implementation of inappropriate ...  Read More

Comparison of Effective Factors on Landslide Hazard in Two Spatial Scales through Multiple Regressions(Case Study: Taleghan Watershed)

Elham Meshkati; Hassan Ahmadi; Aliakbar Nazari Samani; M.H Davoodi

Volume 69, Issue 1 , June 2016, , Pages 201-210


  Landslide occurs inevitably and naturally in many slopes due to sensitive formations, moisture, andother factors. Taleghan watershed is prone to landslide due to the presence of huge Miocene marlmasses. After construction of Taleghan reservoir dam, moisture and ecological condition of theregion changed. ...  Read More

Land slide hazard Susceptibility Mapping and its Evaluation Using the Statistics Analysis logistic Regression

Hamid Reza Moradi

Volume 67, Issue 4 , May 2015, , Pages 617-629


  ABSTRACT Aim Of this research is landslide hazard zoning in Syahdare watershed using logistic regression. Therefore, outset landslide points recognized using air photography and extensive field studies. Then distribution of landslide map was makes. Then each effective element on landslide occurred for ...  Read More

Investigation of possibility of landslide number and area estimation using determination area and volume frequency distribution (Case study: Mazandaran providence)

Ebrahim Omidvar; Ataollah Kavian

Volume 67, Issue 2 , July 2014, , Pages 159-175


  Landslides are the major natural hazard, causing significant damage to properties, lives and engineering projects in all mountainous areas in the world. In order to estimate the role of the landslides in erosion processes and evaluation of their risks, it is necessary to quantify landslides. This quantifying ...  Read More

Landslide Risk Zoning Potential by Analytical Hierarchy Process (AHP) and Multivariate Regression (MR) (Case Study: Upstream of North Karoon Basin)

Koroosh Shirani; Mohammadreza Haji Hashemi Jazi; Seyyed Ali Niknejad; Soleiman Rakhsha

Volume 65, Issue 3 , December 2012, , Pages 395-409


  In western and southern watersheds of Isfahan province, combinations of natural and human factors have caused numerous landslides related damages. One of the main strategies for restricting the damage caused by the landslide is to avoid these regions. For this purpose, it is necessary to prepare precise ...  Read More

Assessment of the Effect of Input Factors Number in Accuracy of Artificial Neural Network for Landslide Hazard Zonation (Case study: Haraz Watershed)

Hamidreza Moradi; Alireza Sepahvand; Parviz Abdolmaleki

Volume 65, Issue 2 , September 2012, , Pages 231-243


  More than 30% of Iran's land is formed from mountainous areas. So each year, landslides cause damages to structures, residential areas and forests, creating sedimentation, muddy floods and finally deposit the sediments in reservoir dams. Therefore, for preventing of this damages and expressing the sensitivity ...  Read More