Introduction to IEEE STANDARDS and its different types.pptx
Research model of Multi Hazard Risk Management- Dehradun
1. Research in Urban Disaster
Management- Multi Hazard
Risk Assessment
Prof. Dr. Neha Bansal
Professor
SRM School of Architecture & Interior Design
Email: neha2000neha@gmail.com
Ph: +917669038518
5. CAPITAL RISKS
ENVIRONMENTAL
RISKS
SOCIAL/ CULTURAL
RISKS
ECONOMIC
RISKS
INSTITUTIONAL
AND POLICY RISKS
DAMAGE TO GOVT BULILDINGS
AND ESSENTIAL FACILITIES
TO LIFELINES / UTILITIES
MACHINERIES/ EQUIPMENTS.
WATER & AIR POLLUTION
LOSS OF BIODIVERCITY
CHANGE OF
MICROCLIMATE
LOSS OF LIFE, RESIDENCES,
DEMOGRAPHIC CHANGE
LOSS OF CULTURAL/
HISTORICAL RESOURCES
IMPACT ON VULNERABLE
POPULATION
FINANCIAL LOSS TO GOVTS., TO
BUSINESS AND RESIDENTS
REDUCED INCOME TAX AND
BUSSINESS, INCREASED GOVT
EXPENDITURE
LACK OF AFFORDABLE HOUSING, LOSS
OF HIGH PAYING JOBS.
GOVT. LIABILITY AND STAFF
TURNOVER
DAMAGE TO REPUTATION AND
INCREASED DISTRUST OF GOVT.
EROSION OF COMMUNITY VISION AND
UNDERMINIG OF OTHER POLICIES
Source: Earthquakes and Megacities Initiative, Cross-Cutting Capacity Development Series, Fifth Metro Manila Field Trip Proceedings,
Mainstreaming Disaster Risk Reduction Through Land Use Planning and Enhancing Management Practices
6. 6
Multi-hazard risk assessment refers to a
comprehensive evaluation where
different types of hazards are integrated
into a system ; taking into account not
only the characteristics of the single
hazardous events , but also their mutual
interactions and interrelations.
The goal of multi-hazard risk assessment
is to have the overall view of the effects or
impacts by assessing and mapping the
expected loss due to the occurrence of
various natural hazards on the social
environmental and economic settings in a
given area.
7. RESEARCH AIM
To evolve a multi hazard risk
assessment model towards
urban risk management
(URM) for achieving resilient
sustainable urban
development
8. 1. TO EVOLVE METHODOLOGY AND ANALYTICAL
FRAMEWORK FOR URBAN RISK ASSESSMENT
2. TO IDENTIFY SIGNIFICANT HAZARDS AND
ASSESS THE RISK PROFILE OF THE STUDY AREA
3 . TO GENERATE DATABASE FOR CONDUCTING
URBAN VULNERABILITY AND MULTI HAZARD RISK
4. TO IDENTIFY RISK INDICATORS, AND MAP THE
RISK AREAS
5. TO EVALUATE URBAN VULNERABILITY INDEX
FOR DEHRADUN CITY AT WARD LEVEL
6. TO EVALUATE MULTI HAZARD RISK INDEX
BASED ON INTEGRATED ANALYSIS OF HAZARDS’
RISK INDICES AND RECOMMEND FOR URBAN RISK
MANAGEMENT
7. TO DEVELOP A MODEL FOR URBAN RISK
ASSESSMENT.
RESEARCH OBJECTIVES
10. PHYSICAL SETTING
Dehra Dun - latitude of 30.32
(30° 19' 0 N) and a longitude of
78.03 (78° 1' 60 E)
Dehradun is the administrative
centre and the interim capital
of Uttaranchal.
As per the Census report of
2001, total population of
Dehradun is 4,47,808.
Altitude:960m Area:300 sq.m
GEOLOGICAL SETTING
The Doon Valley has
the Himalayas to its north,
the Shivalik range to its south
Sal forests in the south.
the sacred Ganga to its east
the river Yamuna to its west.
11.
12. Flood at Dehradun (source: www.flickr.com)
Flood at Dehradun (source: www.flickr.com)
DEHRADUN- URBAN FLOODING
13. Plastic factory in SIDCUL industrial area
Firemen douse the flames at the Telephone Exchange near
the Uttarakhand Vidhan Sabha in Dehradun on Thursday.
Tribune Photo: Anil Rawat
DEHRADUN- URBAN FIRE
15. Source: www.bmtpc.org
DEHRADUN- LANDSLIDE RISK
Figure A house damaged in a landslide
on the Neshville Road in Dehradun on
September 20, 2010, The Tribune
Figure DEHRADUN: debris of a massive
landslide on Jul 27, 2014, triggered by
heavy rains came crashing at Pangla,45 km
from Dharchula, in Pithoragarh district,
17. DATA COLLECTION
PRIMARY DATA
SURVEYS/ RAPID
PARTICIPATORY
APPRAISAL
COLLECT DATA,-BY
OBSERVATION, THROUGH
PERSONAL INTERVIEWS,
MAILING OF QUESTIONNAIRES
STUDY AREA
SECONDARY DATA
LITERATURE REVIEW/
CASE STUDIES
REPORTS AND
DOCUMENTATION/ CENSUS
PHOTOS/ AUDIO/ VISUALS
17
24. 1. Identifying ward
boundaries
2. Identifying major
landmarks
3. Identifying major
roads
A. Major problem in
mismatching of
data
B. Incomplete
information
PRIMARY SURVEYS – WARD LAYOUT-1
24
33. Raster Analysis using Spatial
Analyst in Arc Gis
AHP (Fuzzy logic)
Z SCORE NORMALIZATION
Tools and techniques
1.Matrix by Dr. A.S. Arya for
Damage Assessment
2.Hazus For Earthquake Scenario
TOOLS AND TECHNIQUES
EARTHQUAKE
Bivariate Statistical Method –
Information value method
For Landslide hazard Zonation
(LHZ)
LANDSLIDE
1.HEC RAS for flood plains
2.Gumbel’s Equation for
rainfall return period
3.Rational Method for runoff
calculation
URBAN FLOODING
URBAN FIRE
Analysis in ARC-GIS/ ward
level data analysis
Buffer Analysis in ARC-
GIS/ ward level data
analysis
35. Consequences (C) 1-Catostropic 2- Major 3-Moderate 4- Minor
(Very High Risk
Index)
(High Risk Index) (Moderate Risk
Index)
(Low Risk Index)
Occurrences (L) 1 2 3 4
A
Likely to occur
repeatedly
High
Immediate Action
required to mitigate
risk
High
Immediate Action
required to mitigate
risk
Serious
High Priority
remedial actions
required to mitigate
risk
Moderate
Increase preparedness
and remedial actions
at appropriate time
B
Likely to occur
several times
High
Immediate Action
required to mitigate
risk
High
Immediate Action
required to mitigate
risk
Serious
High Priority
remedial actions
required to mitigate
risk
Moderate
Increase preparedness
and remedial actions
at appropriate time
C
Likely to occur at
some time
High
Immediate Action
required to mitigate
risk
Serious
High Priority
remedial actions
required to mitigate
risk
Moderate
Increase preparedness
and remedial actions
at appropriate time
Low
Take Long term
actions to mitigate
and monitor risk
D
Unlikely to occur but
could happen
Serious
High Priority
remedial actions
required to mitigate
risk
Moderate
preparedness and
remedial actions at
appropriate time
Moderate
Increase preparedness
and remedial actions
at appropriate time
Low
Take Long term
actions to mitigate
and monitor risk
E
May occur but is rare
and exceptional
Moderate
Increase preparedness
and remedial actions
at appropriate time
Low
Take Long term
actions to mitigate
and monitor risk
Low
Take Long term
actions to mitigate
and monitor risk
Low
Take Long term
actions to mitigate
and monitor risk
MULTI HAZARD RISK MATRIX
36. MULTI HAZARD RISK INDEX
URBAN FLOOD RISK
INDEX
URBAN FIRE RISK
INDEX
LANDSLIDE RISK
INDEX
EARTHQUAKE RISK
INDEX
40. CONCLUSIONS
The advantage of this framework is that, the number of indicators at hazard
specific assessment level can be easily added or removed depending on the
data availability and local issues, without altering holistic methodology
Secondly another advantage is that ‘n’ number of hazards can be
incorporated and they are integrated using risk matrix based on their
significance in terms of- ‘likelihood of occurrences’ and ‘impact level’, thus
providing a justified integration method
The model may be refined in further research by establishing the angle
where the relationship and interdependency of two hazards can be explored.
This has not been done in this research as there were no such disaster risks in
the selected area and therefore this aspect needs to be explored in further
research.
the selection of indicators, their assessment and quantification accuracy can
give very high accuracy rates in terms of results
Since the indicators are normalized before integrating, this method also
gives an advantage of integrating quantitative and qualitative indicators.
41. URBAN RISK MANAGEMENT- MULTI HAZARD RISK ASSESSMENT FOR DEHRADUN CITY
Aim- To evolve a model by conducting Multi Hazard
Risk assessment for developing “URBAN RISK
MANAGEMENT PLAN”
TOOLS AND TECHNIQUES
MULTI HAZARD RISK ASSESSEMNT
Dept. of Arch. & Planning*, Supervisor, Dept. of Arch. & Planning 1 , Supervisor, Dept. of Civil Engineering2
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