Remote sensing of environment and disaster laboratory

Institute of Industrial Science, the University of Tokyo, Japan

Vulnerability assessment in the unrest volcano based ontime-series land surface deformation and GIS approach(Case study at Mt. Bromo, Indonesia)
Arliandy Pratama Arbad1, Wataru Takeuchi1, and Yosuke Aoki2

Arbad

1Institute of Industrial Sciences, University of Tokyo, Japan.

arliandyarbad

2Earthquake Research Institute, The University of Tokyo, Japan.

Abstract : Among the 130 active volcanoes are located in Indonesia, Mt. Bromo is the most famous active volcano which located in East Java,
type of Mt. Bromo is a strombolian. We applied remote sensing and GIS techniques for monitoring and creating the disaster-prone areaof Mt. Bromo to deal with social vulnerability issues. SV assessment parameters to be obtained from the potential of land
deformation, population density, and distance from the volcano dome. We used SAR data to observe time-series land surface
deformation which derived from PALSAR sensor. The dataset is composed of 22 SAR images, collected from 24 May 2007 to 4 Nov
2011. In addition, Simple Additive Weight method is used in this study to determine level of the disaster-prone area of Mt. Bromo.
Simple additive weight

Background & Objective

A consistency index indicates the probability of have been assigned values in arandomly way. Values below 0.1 indicate good consistency.
Matrixpairwise

Population

Land
Deformation

Distance
From Lava

Criterion
WeightPopulation

1.0

0.333

0.25

0.124

3.0

1.0

0.667

0.358

4.0

1.5

1.0

0.517

Land
Deformation
Disatance
From Lava

Pictures are collected from field survey.

;
CI = 0.000770972
CR = 0.132%

Picture modified from Tech Insider.

Mt. Bromo status is siaga (level 3 of 4) the last eruption occurred in the late of2015. Volcanic processes which produce a variety of geological and hydrologicalhazards (Tilling, R.I., 1989) are difficult to predict and capable of triggering natural
disasters on regional to global scales (Chowdhury et al., 2016).
Objective is to estimate the disaster prone-areas based on time-series deformation
monitoring and volcanic materials, and number of population at Mt. Bromo.

Methodology
SAR Data
The dataset is composed of 22 SAR images, collected from 24 May 2007 to 4
November 2011 (Descending passes, HH polarization, Track 91, Frame 3780).

TimeFun D-InSARThe TimeFun method is an implementation of the temporal inversion scheme
established formerly for multiscale interferometric time‐series techniques directlyin the data domain. This method allows to explain each pixel’s phase evolution
using a dictionary of user defined functions (Agram et al., 2013).

: k-th function ;We have discussed comparison studies among SBI (SBAS and TimeFun)
algorithm [ISRSE, 2017], SBAS is suitable for the urban area [IIS Forum, 2017].
Our goal is to support the authority for assessing 5 years cycle of Mt. Bromo
and creating education relationship [ICOIRS, 2016] with local people who arestaying close to the volcano. Finally, we suggested the various architecture
construction [AsiaGIS, 2017] in the area of disaster-prone for supporting SDGs
program in sustainable cities and communities.

: Coefficient associated with the k-th function.

Social Vulnerability Assessment
The method of formulating the vulnerability assessment is Simple Additive Weight
Method with the following equation :Umpak foundation

Building load deploymentRemark

V = a(A) + b(B) + c(C) + d(D) + …..

By this study, a larger
percentage of vulnerable area
based on the model is
Sukapura, Ngadisari, Sumberand Tosari. Spatial technology
makes good use of theenormous capacity in a single
work environment for making
the decision in various
information layers.

ResultDeformation characteristics at Mt. Bromo
We have shown that the D-InSAR technique can be used to assess the deformationand volumetric changes when the eruption occurred in 2010 and 2015 [ACRS,2016]. Picture below is time-series D-InSAR based on TimeFun algorithm.

References

At the Mt. Bromo most of pixels were processed with 110
interferoframs. The deformation occurred in the area ofMt. Bromo caldera with relative velocity about 10 cm/year.

•Peraturan Menteri ESDM No. 11 Tahun 2016. http://jdih.esdm.go.id/peraturan/Permen%20ESDM%20No.%2011%20Tahun%202016.pdf•Agram, P.S., Jolivet, R., Riel, B., Lin, Y.N., Simons, M., Hetland, E., Doin, M.P. and Lasserre, C., 2013. New radar interferometric time series
analysis toolbox released. Eos, Transactions American Geophysical Union, 94(7), pp.69-70.

•Chowdhury, T.A., Minet, C. and Fritz, T., 2016, April. A prototype of an automated high resolution InSAR volcano-monitoring system in
the MED-SUV project. In EGU General Assembly Conference Abstracts (Vol. 18, p. 13177).

•Tilling, R.I., 1989. Volcanic hazards and their mitigation: progress and problems. Reviews of Geophysics, 27(2), pp.237-269.0•[ ….. ] is Arliandy P. Arbad et al publications within Master Student at The University of Tokyo

For further details, contact: Pratama, Bw-601, 6-1, Komaba 4-chome, Meguro, Tokyo 153-8505 JAPAN (URL: http://wtlab.iis.u-tokyo.ac.jp/ E-mail: arbad@iis.u-tokyo.ac.jp)