+ All Categories
Home > Documents > By: Jumadi

By: Jumadi

Date post: 16-Mar-2016
Category:
Upload: yasuo
View: 35 times
Download: 0 times
Share this document with a friend
Description:
Web-based Spatial Information System to Support Collaborative Lahars Disaster Management at Sleman Regency, Yogyakarta, Indonesia. Faculty of Geography, UMS, Indonesia. By: Jumadi. Presentation Outline. Introduction Problems Objectives Research Area System Development Processes - PowerPoint PPT Presentation
Popular Tags:
22
By: Jumadi
Transcript
Page 1: By:  Jumadi

By: Jumadi

Page 2: By:  Jumadi

Presentation Outline Introduction Problems Objectives Research Area System Development Processes Mapping Environment Database Development Decision Making Processes Case Study Conclusions

Page 3: By:  Jumadi

Introduction The eruption of Merapi Volcano in 2010

released ± 130 milion3 material (Magelang

Local Government and UN-OCHA, 2011). The material was deposited on the upslope

of Merapi. During rainy sesion of 2011 about 1/3

(BPPTK , 2011) of the material caused damaging of numbers of setlements, bridges, roads and agricultural lands.

The rest is predicted will be potential threath during rainy season until 4 year (BPPTK , 2011).

Page 4: By:  Jumadi

Problems Several institution in 4 municipality and

2 province involved to manage the disaster in collaborative work.

Spatial information is needed to support decision making proceses.

Unfortunately, in some cases each institution has different priority and prefference.

At the same time, it is lack of spatial data sharing among institution.

Page 5: By:  Jumadi

Proposed Solution Widely accesible spatial information

system (Web-based) Support democratic decision making. Fullfil users requirements from various

institution with different administrative area.

Page 6: By:  Jumadi

Objective To develop prototype of web-based

spatial information system for collaborative lahars disaster management.

Page 7: By:  Jumadi

Reserach AreaMerapi

Nr District Area of Damaged Road (m2)1 Cangkringan 202,500.00 2 Donokerto 1,535.00 3 Ngemplak 2,100.00 4 Pakem 137,129.00 5 Tempel 106,400.00 6 Turi 89,929.00 7 Wonokerto 160.00

Grand Total 539,753.00

Nr District Number of Damaged Bridges1 Cangkringan 32 Ngalik 23 Pakem 34 Turi 1

Grand Total 9

Source: BBWS Serayu Opak, 2011

Infrastructure damages from the previous lahars events

Page 8: By:  Jumadi

Example of Lahars Disaster Events in 2011

Source: www.antaranews.com Source: http://wwwabbee-keren.blogspot.com/

Page 9: By:  Jumadi

Development Processes Spatial Multi-

criteria Decision Analysis is used

Page 10: By:  Jumadi

Mapping Environment Hexagonal grid as surface model of the

area was created. The spatial data is stored into geometry

field in PostgreSQL/PostGIS.

Page 11: By:  Jumadi

Infrastructures Data Infrastructures is stored using different

geographic model.

Nr Object Geographic

Model

1 Road network line

2 Irigation Network line

3 Building polygon

4 Bridges point

Page 12: By:  Jumadi

Storing the Criterion Map

Page 13: By:  Jumadi

Weighting method and Decision Rule

Rating Method (Malczewski, 1999) for the criterion weighting based on the users’ preferences.

Simple Additive Weighting Method (Malczewski, 1999). The model was implemented in the

spatial query analysis in PostGIS.

Page 14: By:  Jumadi

Single User Decision Making Procedure

Page 15: By:  Jumadi

Collaborative Decision Making

User Preference Input

User Preference Input

User Preference Input

Statistical Analysis

Running The Decision Rule

Result

Page 16: By:  Jumadi

Case StudyTemporary housing site selection Criteria Map Used:

•Slope Map •Landuse Map •Proximity to Population

•Proximity to local road network •Constraint 1 (hazard Map) •Constraint 2 (conservation Map)

Page 17: By:  Jumadi

Criteria Weigting Input

•Normalized weighting result.

•User Preference Input of the Criterion Importance Level

•Statistical Analysis of the decision result.

Page 18: By:  Jumadi

Example of The Result

Page 19: By:  Jumadi

Making the Result Interoperable using Web Feature Service (WFS)http://localhost:91/lahars-sdss/wfs/index.php?

CA=0.359712230216_0.280575539568_0.169064748201_0.190647482014&C1=0.328719723183_0.256055363322_0.200692041522_0.141868512111_0.0726643598616_0&C2=0.292418772563_0.0938628158845_0.223826714801_0.162454873646_0_0.227436823105&C3=0.699300699301_0.300699300699_0&C4=0.694444444444_0.305555555556_0&CT=0.328719723183_0.256055363322_0.200692041522_0.141868512111_0.0726643598616_0

•WFS link generation

•WFS link

•Accessing the WFS link using Quantum GIS

Page 20: By:  Jumadi

Conclusions Spatial data is important on collaborative

disaster management, mainly in data communication and decision making processes.

Collaborative decision making through spatial information involve various users with various understanding and skill GIS, so that, the application interface should be as simple as possible.

Data sharing is important.

Page 21: By:  Jumadi

Thank You

Page 22: By:  Jumadi

This paper was writen based on MSc ResearchDouble Degree MSc Programme

Geoinformation for Spatial Planning and Risk Management ITC, Univ. Of Twente, The Netherlands - UGM


Recommended