Ulaanbaatar is capital of Mongolia. Latest capital city is very developing and sprawling because people are moving to the city for them life. It is essential to understand urban development to avoid environmental problems due to urban sprawl. Therefore people are unplanned for privatized areas /fence and house/ during UB city is growing. They can stay and live everywhere and probably to damage areas. Floods are the most frequent natural hazard that occurs in Ulaanbaatar city. The my work will help the design, piloting and establishing of a model of people-centred, state-of-the-art and fully functional early warning system for Ulaanbaatar city that would reduce and manage emergency risks of losses in lives and in the economic, social, and environmental assets, based on good governance and the participation of resilient communities.

I would like to show you where is dangerous area in UB city. How Geo-Information is very usefully and helps to monitor urban area, ones of the aim is to detect emergency zone for probably disaster in UB city. Also how Geo-information application is useful for emergency management. Therefore, I did emergency zone maps of Ulaanbaatar city including Flood risk zone, chemical risk zone, radical accident, fire risk zone and earthquake risk using by time series data derived from SAR data and GIS layers (LULC, Canal, Road, and Bridge) derived from high resolution Worldview image, ALOS PALSAR and disaster information table from NEMA. Software are used the ERDAS, ArcGIS, Google hybrid map downloader. People can see where probably dangerous area and disaster is will be happen how many people and how much area will be affect by disaster from result of the maps.

Classification Type Disasters

Natural disasters

Climatic Hazardous Phenomena

Snow storm Severe snowfall

DzudDust stormFlood

Steppe and forest fireDesertification

ThunderstormDrought

Geological threats Earthquake Landslides

Biological threats Spread of detrimental rodentsHuman infectious diseasesLivestock and animal infectious diseases

Man made disasters

Technological accidents Industrial accidentsTraffic accidents

Leakage of chemical and radiological substancesExplosion

Building fireSocial Public disorder

Terrorist attack

Web based Geo information for disaster management

Disaster Management cycle

Disaster management, geographic information systems (GIS), remote sensing (RS) shall be made using the following mapping.

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Mongolian in place to detect forest fire 2 times per day using MODIS satellite data posted on website

http://www.icc.mn/index.php?content=56

Influx due to the clouds of MODIS satellite data from forest fire of fires 2 times a day on the news hour, into a file in the database using ArcGIS software from the website and include hours of television to present to management.

1Google maps 2012

2World view 2 image

3Toposheet

1Google maps 2012

2World view 2 image

3Toposheet

GIS Layers-Buildings-Drainage-River-Fence(LULC data)

GIS Layers-Buildings-Drainage-River-Fence(LULC data)

ALOS PALSARSRTM DEM

ALOS PALSARSRTM DEM

Pre-ProcessingPre-Processing

High Resolution DEMHigh Resolution DEM

Disaster information data

1Chemical2Fire3Radiation4Flood5Earthquake

Disaster information data

1Chemical2Fire3Radiation4Flood5Earthquake

Process in HEC-RAS, ERDAS, ArcGIS softwareProcess in HEC-RAS, ERDAS, ArcGIS software

Disaster emergency zone mapsDisaster emergency zone maps

Gumbels method

Gumbels method

Forest fire detected from MODIS satellite image

Vegetation index from MODIS satellite

Fires occurred in 2014,

Level of risk

of forest fires

Area size(ha) Percentage of the

area on the

satellite image

High 16 760. 6 ha 28. 17%

Medium 18 765. 69 ha 31.54%

Low 23 971. 77 ha 40. 29 %

Very low 0.00 ha 0%

Total 59 498. 06 ha 100.00%

Vegetation index of Bogd khan mountain, Ulaanbaatar (the result is classification of ASTER and Landsat DATA)

Earthquake risk zone in Ulaanbaatar city

Radiation risk zone of hospital ontological

FIRE RISK BY SUB DESTRICT

CHEMICAL PROBALE RISK BY DESTRICT

CHEMICAL PROBALE RISK ASSESSMENT BY DESTRICT

CHEMICAL HAZARDS RATE BY DESTRICT

FLOOD RISK MAP IN ULAANBAATAR

THE RISK AND LOCATION OF ORGANIZATION USING RADICAL

RISK AND LOCATION OF PETROL STATION

EPICENTER OF THE MARMOT PLAGUE OF ULAANBAATAR

Mongolia have 13 type of disaster like Drought, Dzud, Wind storm, Forest fire, Earthquake etc.. mostly happen forest fire in Mongolian east north. Mongolia vegetation is divided by 4 types Forest region, orkhon-selenge region, touchwood region and field region.

ACCIDENT HAPPNED IN MOGOLIA FROM 1999 TO 2011

1999-2011 //

LIVESTOCK DESIESE BY PROVINCE 1999-2011MONGOLIA FOREST FIRE REGION

FOREST FIRE HAZARD MAP

Geo portal established within the framework of UN-ESCAP in 2013 in which totally 15 staffs were attended in the relevant training including the training in Mongolia.

Uyanga.TsLieutenant, charge of Communication and

Early Warning division

Geo-portal installed on server.

Server room Geo-portal server

technical specification:Dell power edge T410CPU: Intel Xeon 2.40Ghz (16CPUs)RAM: 4096mbOS: Windows server 2008

Area affected forest and steppe fire /2009/

Khuvsg ul

Dornod

Uvs

Khov d

Zavkhan

Gobi-AltaiBayankhongor

Umnugobi

Dundgobi

Dornogobi

Sukhbaata r

Arkhangai

BulganiSelenge

Tuv

Khentii

Uvurkhangai

h

Khuvsg ul

Dornod

Bayan- Ulgi i

Uvs

Khov d

Zavkhan

Gobi-AltaiBayankhongor

Umnugobi

Dundgobi

Dornogobi

Sukhbaata r

Arkhangai

BulganiSelenge

Tuv

Khentii

Uvurkhangai

forest and steppe fire /April 2013/

Disaster data:

Natural disaster layers created for GeoDRM

Example:

Forest and steppe fire affected area /2000-2009/

Occurrences of forest and steppe fire /2013/

NAMHEM is using the Geo-DRM which has been provided by ESCAP environmental database.

for example- fodder resources- land use- ecosystem- provinces border- forest- soil- groundwater- grassland- specially protected area

Map of fodder resources

Map of groundwater

GeoDRM will be

Natural and man made disaster data are tend to be uploaded to the geo portal where it is also required to connect the portal to the Emergency operation and early warning center of NEMA

Geographic Information Systems and Remote Sensing systems need to be introduced to and expanded at the emergency management institutions of Mongolia to improve prevention from possible disasters, supply decision makers with accurate information during disasters, strengthen the national disaster protection capacities, and to organize appropriate response and recovery measures.

Although Geographic Information System and Remote Sensing are still new acquaintances to the emergency management system of Mongolia, the need for more and better of them is constantly increasing. Therefore, it is necessary to train the provincial and city level officers of the emergency management organizations in using the GIS and remote sensing technologies, increase the number of GIS and remote sensing specialists, expand partnership and cooperation with organizations in the field of geo-informatics, and promote projects and programs in this field. Most important one is we need nigh resolution satellite image, small scale vector file for analyzing and preparing maps (disaster management) for who decide during the disaster and planning for disaster. Particularly It will help to save time, money and workforce.

Also NEMA should have to establish a disaster geo-database and a Disaster Geo-Database Center in this era of information and communication technologies would be a huge stride forward in promoting the usage of the GIS and remote sensing technologies in disaster reduction endeavors.

Disaster Research Institute under NEMA

Tel/fax: +976-11/51/-262846

E-mail: dri@disasterinfo.mn

sodnomragchaa@msn.com