2015
DOI: 10.1016/j.proenv.2015.07.068
|View full text |Cite
|
Sign up to set email alerts
|

Geomorphometric Characteristics of Landslides in the Tinalah Watershed, Menoreh Mountains, Yogyakarta, Indonesia

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
16
0
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
2
2

Relationship

0
10

Authors

Journals

citations
Cited by 28 publications
(17 citation statements)
references
References 40 publications
0
16
0
1
Order By: Relevance
“…Topography, which is a major land surface characteristic constituting a key pre-condition/ factor in landslide occurrence, needs to be further investigated to guide planning and risk management. Nugraha et al (2015) argued that land surface (geomorphometric) characteristics, have a significant relationship with the landslide distribution. They further noted that in the Tinalah watershed, for instance, the landslide occurrence coincides mostly with an elevation of higher than 400 m.a.s.l., a slope of 20 o , an east-to-west slope direction, and a flat curvature.…”
Section: Introductionmentioning
confidence: 99%
“…Topography, which is a major land surface characteristic constituting a key pre-condition/ factor in landslide occurrence, needs to be further investigated to guide planning and risk management. Nugraha et al (2015) argued that land surface (geomorphometric) characteristics, have a significant relationship with the landslide distribution. They further noted that in the Tinalah watershed, for instance, the landslide occurrence coincides mostly with an elevation of higher than 400 m.a.s.l., a slope of 20 o , an east-to-west slope direction, and a flat curvature.…”
Section: Introductionmentioning
confidence: 99%
“…A raster-based spatial analysis between landslide events and geomorphometric characteristics was carried out, based on Nugraha et al (2015). More precisely the landslide inventory data from the field and literature totaling to 284 records was imported into Arc GIS 10.5 for analysis of the landslide distribution and their characteristics with respect to geomorphometric parameters (slope, aspect, altitude, plan curvature).…”
Section: Gis Data Layers and Data Analysismentioning
confidence: 99%
“…This knowledge will help the authorities to make informed decisions in mitigating such occurrences. Despite the socio-economic and geomorphologic impacts associated with landslides (Ngeku and Mathu, 1999;Ngeku et al, 2004 andJacobs et al, 2016), which are expected to increase with global climate change (Nugraha et al, 2015), studies are still rare in the Africa continent ( The situation is even worst in Sierra Leone, which has very limited and restricted scientific landslide studies (e.g. Thomas, 1983Thomas, , 1994Thomas, & 1998Cui et al, 2019, Redshaw et al, 2019; and Lahai and Lahai 2019), amidst a surge of landslides in its capital city.…”
Section: Introductionmentioning
confidence: 99%