2 Developing Interoperable Geographic Data Model for the Mitigation Phase of Disaster Management Assoc. Prof. Dr. Arif Cagdas AYDINOGLU (Gebze Technical University, Dept. Of Geomatics Engineering, Turkey) PhD Student Bekir TASTAN (Istanbul Technical University, Institute of Informatics, Geographic Information Technologies Program, Turkey)
3 INTRODUCTION Many people encounters with different types of disasters. These disasters cause huge destruction and loss of life. Disaster management is to perform preparedness, response, recovery, and mitigation phases of the disasters in a cycle. Mitigation includes studies towards necessary technical, administrative and social measures.
4 INTRODUCTION In view of intricate character of disasters, GIS can deal with different geographic and real time data sets. GIS based fire risk map (http://arifcagdas.com/) With various capabilities, different types of data for disaster management can be used collaboratively
5 MULTI HAZARD DISASTER RISK Multiple hazard situations are consisting of the initiation of a hazard and other events the result of the consecutive occurrence of hazards. First event initiates following series of events. As example, in consecutive events, earthquake trigger landslide and tsunamis. Japanese Earthquake and following Tsunami 2011
6 MULTI HAZARD DISASTER RISK Multi risk assessment is a complex process. It begins with a step identifying the source of each trigger of fluctuation danger. Next vulnerability analysis is made for assets, people buildings and environment exposed to hazards Multi risk assessment stages (Marzocchi et al., 2012:557)
7 MULTI HAZARD DISASTER RISK Risk assessment in terms of loss of life, economic losses and environmental degradation is performed for single hazard and triggered hazards. Finally multi risk situation are ranked and integrated in a single risk index.
8 INTEROPERABLE GEOGRAPHIC DATA MODEL for DISASTER MANAGEMENT TURKISH NATIONAL GEOGRAPHIC INFORMATION SYSTEMS A geographic data model has been developing for disaster risk management + for the risk management of destructive disasters in Turkey such as flood, fire/urban fire, earthquake, and traffic accident. + compatible with the standards of ISO TC/211 and Turkish National Geographic Information System (TUCBS).
9 TURKISH NATIONAL GEOGRAPHIC INFORMATION SYSTEMS (TRGIS) TUCBS data models include UML applications schemas and feature catalogs for base data themes such as Address (AD), Building (BI), Cadastre and Land Registry (TK), Administrative Unit (IB), Transportation (UL), Hydrography (HI), Land Cover/Use (AO), Orthophoto (OR), Topography (TO), and Geodesy (JD) These are base required data for disaster management. Turkish National GIS data themes (GDGIS, 2012 a)
10 Turkish City Information System (TCI-KBS) data themes Besides, Urban GIS data model supporting urban management was used, includes data models for data themes such as Vegetation (BO), Public Services (KH), Urban Furniture(KM), and Water mass (SK) (GDGIS, 2012b).
11 Development Stages of Geographic Data Model Academic literature survey for data requirement Reviewing of application schema Geographi c data model for risk manageme nt Determination of data requirement for hazard and vulnerability analysis Developing of UML application schema for vulnerability analysis Developing of UML application schema for hazard analysis
12 Data requirement analysis for hazard analysis Fire/Urban fire Traffic accident Earthquake, Flood, Landslide Data requirement analysis for vulnerability analysis Physical vulnerability (Building, infrastructure, transportation, telecommunication network, pipeline) Social and economical vulnerability (Building social and economical vulnerability; sex, education, age, population distribution, The number of households Developing of UML application schema for hazard analysis Fire/Urban fire Traffic accident Earthquake, Flood, Landslide Developing of UML application schema for vulnerability analysis Fire/Urban fire; physical, social and economical, environmental vulnerability and coping capacity application schema Traffic accident physical,;social and economical, environmental vulnerability and coping capacity application schema Earthquake; physical, social and economical, environmental vulnerability and coping capacity application schema Flood; physical, social and economical, environmental vulnerability and coping capacity application schema Landslide; physical, social and economical, environmental vulnerability and coping capacity application schema
13 Geographic Data Model for Hazard Analysis For flood hazard analysis; aspect (Baki) and slope (Egim) feature types obtained from elevation feature type (YukseklikGrid) of TUCBS TO, land use (AraziKullanimi) featuretype from TUCBS AO, drainage basin(drenajhavzasi) featuretype from TUCBS HI, soil groups and meteorological feature types from other base themes (TemelCografiNesneler), and flood events data sets (GecmisVaka) should be used to produce flood hazard feature type (SelTehlike). All attributes, values, and relationships were defined with ISO/TC211 encoding rules as defined in the schema.
14 For flood hazard analysis Slope elevation Aspect Land use Flood hazard Dreinage basin Soil Flood Events Meteorology
15 For forest fire hazard analysis (OrmanYanginiTehlike); aspect (Baki), slope (Egim), and elevation (YukseklikGrid) feature types from TUCBS TO, land use feature type (AraziKullanimi) from KBS AK, road feature type from TUCBS UL, district (Mahalle) feature type from TUCBS ID, vegetation feature type from TUCBS BO, meteorological and inventory feature types from base themes (TemelCografiNesneler), and fire events data set (GecmisVaka) should be used to produce flood hazard feature type (OrmanYanginiTehlike) with defined content on the schema.
16 ( Land use Aspect Topography Slope Road Forest fire hazard Meteorology Forest fire events inventory District Vegetation Figure 2.UML Application Schema for the activity of forest fire hazard analysis
17 Geographic Data Model for Vulnerability Analysis For vulnerability analysis of all disaster types; buildings, infrastructures, and transportation feature types were accepted as vulnerable elements. Data contents were defined also for environmental, economic and social vulnerability. For fire vulnerability analysis as example; infrastructure (Altyapi), transportation (Ulasim), and fire building (YanginZararBina) feature types are required. Infrastructure includes telecommunication network (TelekomunikasyonAgi), energy pipeline (EnergyNakilHatti), sewer pipeline (KanalizasyonBorusu), and pipeline (BoruHatti).
18 Transportation includes road (Karayolu), railroad (Demiryolu), seaway (DenizyoluHatti), and air lines (UcusHatti). Besides, data content was defined to determine social (SosyalZarargorebilirlik), economic (EkonomikZarargorebilirlik), and environmental (CevreselZarargorebilirlik) vulnerability.
19 Fire vulnerability Figure 3. UML Application Schema for the activity of fire vulnerability analysis
21 CONCLUSION Considering the complex nature of disaster risk management, this model can be used as base data exchange model to produce hazard and vulnerability maps that determine risk map. Open data model is compatible with national geographic data standards of Turkey to support data interoperability between actors.
22 Thank you for your participation.
23 REFERENCES GD-GIS, 2012a.TRGIS Policy, Ministry of Environment and Urbanization, Gen. Directorate of GIS, Project Report, Ankara. GD-GIS, 2012b. TRGIS Conceptual Model Components, Ministry of Environment and Urbanization, Gen. Directorate of GIS, Implementation Rules, Ankara. Komendantova, N., Mrzyglocki, R., Mignan, A., Khazai, B., Wenzel, F., Patt, A., & Fleming, K. (2013).New Multi-Hazard and Multi-Risk Assessment Methods for Europe and man-induced risks. European Commission Directorate General for Research. Brussels.
World Conference on Disaster Reduction 18-22 January 2005, Kobe, Hyogo, Japan Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters * www.unisdr.org/wcdr
The Global Earth Observation System of Systems (GEOSS) 10-Year Implementation Plan (As adopted 16 February 2005) Preamble Understanding the Earth system its weather, climate, oceans, atmosphere, water,
EWC III Third International Conference on Early Warning From concept to action 27 29 March 2006, Bonn, Germany Developing Early Warning Systems: A Checklist FOREWORD Early warning is a major element of
, Territorial págs. Planning 383-388 for the Management of Risk in Europe TERRITORIAL PLANNING FOR THE MANAGEMENT OF RISK IN EUROPE Mark Fleischhauer, Stefan Greiving & Sylvia Wanczura Universität Dortmund
PEDECIBA Informática Instituto de Computación Facultad de Ingeniería Universidad de la República Montevideo, Uruguay Reporte Técnico RT 09-08 Disaster management and operation research in Uruguay Sandro
TOWARDS MODELING LONG-TERM DISASTER RECOVERY MANAGEMENT by Carlos A. Nieto Tibaquirá A Thesis Submitted to the Faculty of The College of Engineering and Computer Science in Partial Fulfillment of the Requirements
DKE/DIN ROADMAP Version 1.0 TECHNOLOGIES PEOPLE APPLICATIONS The German Standardization Roadmap Smart City Concept Publisher VDE ASSOCIATION FOR ELECTRICAL, ELECTRONIC & INFORMATION TECHNOLOGIES Responsible
DISASTER RISK REDUCTION IN LATIN AMERICA, IMPROVING TOOLS AND METHODS REGARDING CLIMATE CHANGE: The case study of Colombia and the city of Manizales Dora-Catalina Suárez O. Document prepared to and funded
The role of science in the management of natural hazards and major risks Scientific expertise in Switzerland and within International Geneva PLANAT Series 1/2006 The role of science in the management of
The resilience of water and sanitation systems in the aftermath of natural disasters is an important step to ensure the long-term consolidation of the achievements in providing access to these services.
DISASTER MANAGEMENT MODEL FOR THE HEALTH SECTOR Guideline for Program Development Manitoba Health Disaster Management Version 1 Printed November 21, 2002 Disaster Management Model for the Health Sector
Internetic GIS: An Open System for Organic Agriculture Administration, Verification and Planning Ioannis M. IFADIS, Avraam P. MAVRIDIS and Paraskevas D. SAVVAIDIS, Greece Keywords: GIS, Precise Organic
Strengthening Combined Transport in TURKEY Strengthening Combined Transport in TURKEY AL MARITIMA INTERMODAL ad de Madrid, España Component 3: Turkish Combined Transport Strategy Executive Report November
International Strategy for Disaster Reduction RELATIONSHIP BETWEEN NATURAL DISASTERS AND POVERTY: A FIJI CASE STUDY April 2009 A repor t prepared for the United Nations International Strategy for Disaster
Analyzing Approaches Used by Ontario Municipalities to Develop Road Asset Management Plans: Initial Insights Report Prepared by Tamer E. El-Diraby, PhD., PEng. Associate Professor, Sherif N. Kinawy, MSc.,
Executive Summary In the aftermath of a disaster, time is a valuable, yet extremely limited resource. Recovery decision-makers, planners and implementers face the immense task of assisting individuals,
SAN DIEGO COUNTY A PLAN FOR GROWTH, CONSERVATION, AND SUSTAINABILITY August 2011 CERTIFICATION CERTIFICATE OF ADOPTION I hereby certify that this is the text and exhibits of the San Diego County General
Institute of Architecture of Application Systems University of Stuttgart Universittsstrae 38 D 70569 Stuttgart Diplomarbeit Nr. 3538 Risk assessment-based decision support for the migration of applications
A Framework for Enhancing Resilience of Community by Expediting Post Disaster Recovery Abhijeet DESHMUKH 1 and Makarand HASTAK 2 1 PhD student, school of civil engineering, Purdue University (550 Stadium
integrated flood management tools series flood emergency planning ISSUE 11 FEBRUARY 2011 The Associated Programme on Flood Management (APFM) is a joint initiative of the World Meteorological Organization
1431 EMERGENCY MANAGEMENT WITH GIS Assoc. Prof. Dr. Vahap TECİM *, Dr. Murat KOMESLİ ** ABSTRACT After two big earthquakes in 1999, everybody agreed that Turkey is not well-prepared for any kind of earthquake.
1 Research and Development Trends in Critical Infrastructure Protection in the U.S. AKIHIRO FUJII Information and Communications Research Unit 1 Introduction Evaluating the risks that face the infrastructures
Adaptation Fund Board Project and Programme Review Committee Fifteenth Meeting Bonn, Germany, 7-8 October 2014 AFB/PPRC.15/10 17 September 2014 Agenda Item 6 f) PROPOSAL FOR COSTA RICA AFB/PPRC.15/10 Background
APPENDIX 1 DISASTER RECOVERY PLANNING FOR CITY COMPUTER FACILITIES March 2008 Auditor General s Office Jeffrey Griffiths, C.A., C.F.E. Auditor General City of Toronto TABLE OF CONTENTS EXECUTIVE SUMMARY...1