land slide hazard susceptibility mapping and its evaluation using the statistics analysis logistic regression

Authors

حمید رضا مرادی

دانشکده منابع طبیعی دانشگاه تربیت مدرس، دکتری جغرافیای طبیعی مریم دشتی مرویلی

دانشگاه تربیت مدرس علیرضا ایلدرمی

دانشگاه ملایر

abstract

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 example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage, distance of fault and precipitation map makes in gis environment. these data were saved in raster and vector format in gis soft ware and they used for analysis with logistic regression. logistic analysis obtained by arc gis 9.2 soft ware and spss. results showed the most important elements in land slide occurred in this area are slope, elevation, precipitation, distance of drainage and distance of fault respectively. most of the land slides have occurred in the classes of 10 to 15 degree slope, elevation of 2350-2500 meters, precipitation (473-523 mm) are located. 50% landslide is located at a distance of 30 meters of the stream. in this region the most landslides are occurrence in the 300 meter to fault distance. while the from 500 meter distance to the fault reduced number and susceptibility to landslides. the evaluation of accuracy model and the results obtained with three methods for the presence of all variables, 98.2 percent, 0.692 and 0.519 respectively. so showed that logistic regression had high accuracy in making landslide susceptibility map in study area.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Landslide susceptibility mapping using logistic regression analysis in Latyan catchment

    Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages. The main purpose of this study is to provide landslide susceptibility map using logistic regression model at Latyan watershed, north Iran. I...

full text

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

The main goal of this work was to identify the areas that are most susceptible to desertification in a part of the Algerian steppe, and to quantitatively assess the key factors that contribute to this desertification. In total, 139 desertified zones were mapped using field surveys and photo-interpretation. We selected 16 spectral and geomorphic predictive factors, which a priori play a signific...

full text

hazard evaluation of gas condensate stabilization and dehydration unit of parsian gas refinery using hazop procedures

شناسایی مخاطرات در واحد 400 پالایشگاه گاز پارسیان. در این پروزه با بکارگیری از تکنیک hazop به شناسا یی مخاطرات ، انحرافات ممکن و در صورت لزوم ارایه راهکارهای مناسب جهت افزایش ایمنی فرا یند پرداخته میگردد. شرایط عملیاتی مخاطره آمیز نظیر فشار و دمای بالا و وجود ترکیبات مختلف سمی و قابل انفجار در واحدهای پالایش گاز، ضرورت توجه به موارد ایمنی در این چنین واحدهایی را مشخص می سازد. مطالعه hazop یک ر...

Statistics review 14: Logistic regression

This review introduces logistic regression, which is a method for modelling the dependence of a binary response variable on one or more explanatory variables. Continuous and categorical explanatory variables are considered.

full text

Land cover land use mapping and change detection analysis using geographic information system and remote sensing

Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...

full text

Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis

  Background: Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population.   Methods : In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were ...

full text

My Resources

Save resource for easier access later


Journal title:
مرتع و آبخیزداری

جلد ۶۷، شماره ۴، صفحات ۶۱۷-۶۲۹

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023