Landslides susceptibility mapping based on geospatial data and geomorphic attributes (a case study: Pacet, Mojokerto, East Java)

Author:

Irawan L Y,Sumarmi ,Bachri S,Panoto D,Pradana I H,Faizal R

Abstract

Abstract The study of landslides for long time is studied by geomorphological approach. In the study of geomorphology, each and every spatial segment of the earth surface possesses some physiographic aspects. Its analysis enables us to predict an interrelationship between physical and cultural phenomena as a whole. Pacet is one of the most susceptible areas due to landslides in Mojokerto Regency, East Java. Pacet is located at mountainous area which the slope stability depends upon physical and chemical properties of the soil. Such condition is represented on the geomorphic properties, such as slope angle, slope aspect, profile curvature, TWI, TPI, SPI and lithological composition. To obtain a proper landslides susceptibility mapping, some data were derived from geospatial data such as slope angle, slope aspect, profile curvature, TWI, TPI and SPI. DEM extraction by GIS platform were used to obtain the data. Soil samples were collected from different landform unit. The spatial distribution of landslides data was processed using GIS Software. The result shows that landslides were influenced by slope, aspect, profile curvature, TWI, TPI, SPI and lithological composition in study area.

Publisher

IOP Publishing

Subject

General Engineering

Reference33 articles.

1. Geomorphological assessment of past landslides in tropical highlands – case studies from cameron highlands and kundasang, Malaysia;Jamaluddin;Bulletin of the Geological Society of Malaysia,2020

2. Work, persistence, and formative events: The geomorphic impact of landslides;Guthrie;Geomorphology,2007

3. Types and Geomorphic Development of Large Landslides in the Kokomeren River Basin, Kyrgyzstan;Oh;Journal Of The Geomorphological Association Of Korea,2019

4. HyLands 1.0: a Hybrid Landscape evolution model to simulate the impact of landslides and landslides-derived sediment on landscape evolution;Campforts,2020

5. Optimizing the Predictive Ability of Machine Learning Methods for Landslides Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China;Wang;International Journal of Enviromental Research and Public Health,2019

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3