+ All Categories
Home > Technology > AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Date post: 13-Jun-2015
Category:
Upload: lubomir-filipov
View: 93 times
Download: 0 times
Share this document with a friend
Description:
Floods are one of the most common hazards worldwide. Each year they cause considerable damage to people’s lives and properties and can have severe environmental consequences. Floods are natural phenomena but through the right measures we can reduce their likelihood and limit their impacts. As to achieve that the European Commission proposed the Directive 2007/60/EC in year 2006. It requires Member States to assess if all water courses and coast lines are at risk from flooding, to map the flood extent and assets and humans at risk in these areas and to take measures to reduce this flood risk. As a Member-state the Republic of Bulgaria is following the statements and procedures of the Directive. Criteria and methods for determination and classification of areas with potential significant flood risk are developed to be implemented for each basin management region in the country. This presentation is result of a project and scientific paper, published for international seminar, held in Sofia, Bulgaria, November, 2013. In this presentation we present an automated model for implementation of the developed unified criteria for flood risk assessment in Bulgaria. We provide an overview of the geographic information systems (GIS) functionality for gathering data form a variety of sources, its integration into a single information environment and the possibilities for modeling and dissemination of this data. Furthermore, this paper demonstrates the advantages of collaborative GIS platforms for providing valuable information in case of a disaster.
Popular Tags:
14
SIXTH BULGARIAN‐AUSTRIAN SEMINAR Automated model for implementation of unified criteria for flood risk classification in Bulgaria Lyubomir Filipov, Antoniya Gerdzheva, Adelina Naydenova SIXTH BULGARIAN‐AUSTRIAN SEMINAR Practice and Research in Flood Risk Management
Transcript
Page 1: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

SIXTH BULGARIAN AUSTRIAN SEMINAR‐

Automated model for implementation of unified criteria for flood risk classification in Bulgaria

Lyubomir Filipov, Antoniya Gerdzheva, Adelina Naydenova

SIXTH BULGARIAN AUSTRIAN SEMINAR‐Practice and Research in Flood Risk Management

Sofia, 7-8 November 2013

Page 2: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Introduction

Floods...

Most common disaster worldwide - 139

million people affected by disasters in 2012

(source: World Disasters Report 2013);

Damages to people lives, properties and to

the environment;

A higher flood risk is expected in the future

decades;

Proper measures could limit their number and

impact;

Source: http://iam.frombulgaria.info

Page 3: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Main goals and tasks

Aim of the report – presentation of an automated model for flood

risk assessment in Bulgaria;

Main tasks:

Review of the current European acquis and the equivalent legislation in Bulgaria;

An overview of the geographic information system (GIS) functionality

for flood risk determination;

An overview of the possibilities for modeling and dissemination of

data.

Page 4: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

European acquis and equivalent legislation in Bulgaria

Directive 2007/60/EC

The Directive and the Bulgaria legislation

Methodology for detemination of areas with

potential significant flood risk (APSFR)Project: „Assisting River Basin Directorate with center Plovdiv

Town in Defining Areas of Potential Significant Flood Risk (APSFR) in East Aegean Sea River Basin Directorate”

Page 5: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Study area

East Aegean River Basin District (EARBD) with center Plovdiv

one of the 4 river basin districts within the territory of the Republic of Bulgaria;

situated in the central part of southern Bulgaria;area of 35 227 km2;

Page 6: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

APSFR determination process and the place of the automated model

Analysis of the available data from EASRBD;Development of a geo-database with information for the

significant past and potential future flood events;Determination of APSFRs;

Application of unified criteria for flood risk classification for determination of PAPSFRs;

Determination of the final APSFRs after detailing its borders;Development of a final geo-database;Presentation of the final data in a table, necessary for the

preparation of a report;Preparation of maps of each APSFR;

Page 7: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Unified criteria for classification of the risk

According to the methodology – 4 categories:

Human health – Affected inhabitants (victims); Affected critical

infrastructure elements or affected buildings of public significance

(hospitals, schools, etc.); Wells and pumping stations for public drinking

water supply.

Economic activity – Motorways, class І and ІІ, railways, bridges,

airports, transmission grids and other linear infrastructure; Affected

agricultural areas; Summarized economic value of damages (for past

floods);

Page 8: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Unified criteria for classification of the risk

According to the methodology – 4 categories:

Environment - Sewage systems of settlements – discharge of

municipal sewerage systems or urban waste water treatment plants; Affected protected areas: drinking water, areas under the Protected

Areas Act, Natura 2000; Industrial Pollution Control (IPPC) and prevention of chemical accidents SEVESO (Council

Directive 96/82/EC) enterprises, Pollutant release and transfer registers (PRTR) of EEA, MoEW;

Cultural heritage - Cultural and historical monuments of UNESCO and

such of national significance;

Page 9: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Work procedures for the model development

Page 10: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Maps and results

Page 11: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Other applications of GIS for flood risk management

GIS and flood risk management:

- data integration from variety of sources;

- rich analytical functionality;

- rich visualization of results;

Page 12: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Other applications of GIS for flood risk management

Application of collaborative GIS platform:

- Taking into consideration the feedback of the public for the decision making process;

- Improving decision by incorporating local knowledge into existing knowledge base;- Getting legitimacy for decisions – not to present or impose decisions;

Example of Ushahidi collaborative GIS platform with options to gather data from web, mobile apps, twitter, sms, email or phone.

Page 13: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Conclusions

Advantages of the model:

● Reduces the possibilities of errors;

● Makes the process of determination of APSFR faster and easier;

● Applicable for all river basin districts;

● Opportunities for further dissemination of the results and other

relative to floods data trough the usage of collaborative GIS

platforms.

Page 14: AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIFICATION IN BULGARIA

Thank you

Contacts:

Lyubomir Filipov: [email protected]

Antoniya Gerdzheva: [email protected]

Adelina Naydenova: [email protected]


Recommended