|
|
|
 |
WORKSHOPS
Earthquake Risk Management In Mega Cities |

Dr. Biswajit Sarma
Asst Professor
Jorhat Engg College,
Guwahati, Assam, India |

Dr Jayant Pathak
Asst Professor
Assam Engg College,
Guwahati, Assam, India |
| In the last three decades, large earthquakes have caused massive loss of lives and extensive physical destruction throughout the world (Armenia, 1988; Iran, 1990; US, 1994; Japan, 1995; Turkey, 1999; Taiwan, 1999, India 2001, Sumatra 2004, Pakistan, 2005). The earthquakes in the past have left many lessons to be learned which are very essential to plan infrastructure and to mitigate such calamities in mega cities in future. There are several risk assessment tools proposed by different countries and organizations like HAZUS (USA), TELES (Taiwan), RADIUS (UN) are based on inventory data and inputs through GIS engine to produce result for different disaster. Regional seismic damage assessment for Mega City may be carried out using geographic information system, where reflection of ground shaking and the secondary site attributes of soil amplification and liquefaction are incorporated as the salient features. Microzonation has generally been recognized as the most accepted tool in seismic hazard assessment and risk evaluation and it is defined as the zonation with respect to ground motion characteristics taking into account source and site conditions. The method to combine the different hazards is based on a weighted average approach. Based on soil (natural) frequency zones may be suggested for building height restrictions and development control. According to soil liquefaction analysis particular zones are identified where ground improvement may be suggested. An inventory is made up of general building stock and groups of building with specific characteristics for classification of building in different group with similar characteristics. The classification of building is based on the construction type, material type, and structural type. The methodology helps to identify the relation between the pattern of urban development and seismic risk and formulate specific recommendations for the City based on the results of risk assessment. The planners, engineers, government officials, emergency service providers, decision makers and other participators in disaster management are benefited from this GIS-based seismic risk analysis by predicting potential consequences of seismic activity in a given city. The workshop will address the issues related to methodologies and processes of earthquake risk assessment and zonation for effective risk management approach in mega cities. |
| Open Source GIS for Distributed and Interoperable SDI Model |

Dr. R.D. Gupta
Professor (Geoinformatics) and Coordinator,
GIS Cell at Motilal Nehru National Institute of Technology (MNNIT),
Allahabad, India. |
Spatial Data Infrastructure (SDI) is increasingly being acknowledged as a soft national resource and has become a part of the basic infrastructural facilities that needs to be efficiently coordinated and managed in the interests of the nation. SDI is an evolving concept and can be viewed as an enabling platform linking spatial data producers, providers, value adders and users to provide access, sharing and integration of spatial data and geospatial services for social, environmental and economic activities. The information required for the success of any disaster management plan is diverse, spatial and temporal in nature. An operational SDI can be used for the development and implementation of effectively strategies for natural disaster mitigation, management and rehabilitation.
Open Source Software in the field of GIS are growing rapidly and in general follows the open GIS standards provided by OGC and W3C. Now-a-days, Open Source Geospatial Resources (OSGR) projects can offer rich functionality, robustness, cooperation from contributing developers and continuous improvement. OSGR can be efficaciously used for the development of an efficient and cost effective interoperable SDI model. This can be used by organisations associated with the development and implementation of SDI and will increase its applicability in the developing countries.
The proposed workshop will provide an overview of SDI concepts, SDI standards and geospatial web services. OSGR based distributed and interoperable SDI model will be the major focus of discussions. The prototype SDI model developed will be demonstrated along with sharing of the experiences gained through the use of OSGR like Open JUMP GIS, Quantum GIS, MySQL, Apache Tomcat, ALOV and GeoServer for the development of SDI model. |
| |
| Arc GIS 10, ESRI |
|
 |