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International Journal of Civil Engineering and Technology (IJCIET)
Volume 10, Issue 01, January 2019, pp. 2956–2977, Article ID: IJCIET_10_01_258
Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJCIET&VType=10&IType=1
ISSN Print: 0976-6308 and ISSN Online: 0976-6316
© IAEME Publication Scopus Indexed
URBAN FLOOD VULNERABILITY
ASSESSMENT OF BHOPAL, M.P., INDIA
Dr. Rajshree Kamat
Senior Assistant Professor, Department of Architecture and Planning,
Maulana Azad National Institute of Technology, Bhopal, India
ABSTRACT
Bhopal, the city of lakes is one of the very beautiful and peaceful cities of India
with least vulnerability to natural hazards like earthquakes, floods, landslides etc. In
recent years residents of this city find themselves vulnerable to urban floods. Earlier
the rainy season in Bhopal used to be so pleasant that people used to take long trips in
the nearby areas by road just to enjoy the rains. Nowadays everyone wants to stay at
home to stay safe during rains to avoidor to combat problems. The floods are due to
natural factors such as heavy rainfall, high floods etc. Blocking of channels or
aggravation of drainage channels, improper land use, deforestation in headwater
regions, etc., are human factors. The focus of this study is mainly upon the urban
flooding scenarios. The paper is based on studying the physical and socio- economic
indicators causing urban floods and their impacts on the city of Bhopal. Bhopal has
been repeatedly subjected to stress and strains of sudden increase and decrease in
population. City being a highly urbanized Municipal area, has given many challenges
to be tackled through planning interventions. Urban floods are one of those
challenges. Bhopal city has no significant history of urban floods. But from last one
decade the city has been facing many situations of urban flooding during the monsoon
season. The un-even distribution of rainfall coupled with Mindless urbanization,
encroachment and filling of natural drainage channels and urban lakes to use the
high-value urban land for buildings are the causes of urban flooding. Vulnerability is
the main construct in flood risk management. Variety of indicators can be introduced
to assess vulnerability therefore selection of more appropriate methodology is vital for
authorities. The more accepted assessing method could be used to assess and identify
the most vulnerable areas. This paper also includes a suitable framework to assess
problematic flood vulnerability in urban areas.
Key words: Urban floods, Climate change, Flood vulnerability assessment; Flood
control measures; Urban planning and development.
Cite this Article: Dr. Rajshree Kamat, Urban Flood Vulnerability Assessment of
Bhopal, M.P., India, International Journal of Civil Engineering and Technology 10(1),
2019, pp. 2956–2977.
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1. INTRODUCTION
Flooding in general and urban flooding in particular is not an unknown event in world and in
India. The un- even distribution of rainfall coupled with Mindless urbanization, encroaching
upon and filling up natural drainage channels and urban lakes to use the high-value urban land
for buildings are the cause of urban flooding. Unregulated development in urban area makes
the people in developing countries to occupy the hazardous area, thus, making them
vulnerable to disasters (Kamat R. 2013)
Vulnerability is the main construct in flood risk management. One of the most significant
aims of flood vulnerability assessment is to make a clear association between the theoretical
conceptions of flood vulnerability and the daily administrative process (Hajar Nasiri, 2016).
Gross domestic product (GDP) at risk of flooding in India, the world’s second-most
populous nation, may surge 10-fold by 2030 as cities expand and climate challenges worsen,
according to the World Resources Institute (WRI). A new online global flood-analyzing tool
developed by WRI and four Dutch research agencies showed India topped the list among
countries with population affected by river flooding on average each year (Chaudhary A.
2015). WRI ranked 163 countries by number of people impacted by river flooding. Led by
India, the 15 worst-hit accounted for almost 80% of the total population affected. Bangladesh
was a distant second, then China, followed by Vietnam, Pakistan and Indonesia, the tool
showed.
Annual economic losses from natural disasters have almost quadrupled in the past three
decades, the World Bank said in 2013. In particular, southeast Asia faces a notable increase in
risk, according to Hessel Winsemius, a researcher at Netherlands-based Deltares, one of the
project partners. The Aqueduct Global Flood Analyzer estimates current and future potential
exposed GDP, affected population and urban damage from river floods for every state,
country and major river basin in the world.
“In changing climate in particular, memory of historical floods from the last few years is
not a good estimation of what flood risks could be in the coming years,” said Erin Coughlan,
senior climate specialist for the Red Cross Red Crescent Climate Centre. “People need to
evaluate those risks and take action now instead of being surprised in the future.” (Chaudhary
A. 2015).
Climate change has played an important role in causing large-scale floods across central
India, including the Mumbai floods of 2006 and 2017. During 1901-2015, there has been a
three-fold rise in widespread extreme rainfall events, across central and northern India –
Gujarat, Maharashtra, Madhya Pradesh, Chhattisgarh, Telangana, Odisha, Jharkhand, Assam
and parts of Western Ghats – Goa, north Karnataka and South Kerala (Roxy, M. K et al.,
2017) .The rising number of extreme rain events are attributed to an increase in the
fluctuations of the monsoon westerly winds, due to increased warming in the Arabian Sea.
This results in occasional surges of moisture transport from the Arabian Sea to the
subcontinent, resulting in heavy rains lasting for 2–3 days, and spread over a region large
enough to cause floods. (Roxy, M. K et al., 2017) (Simpkins, Graham, 2017).
2. FLOOD AFFECTED AREAS OF MADHYA PRADESH
As per the State Disaster Management Authority of Madhya Pradesh, With respect to floods,
Madhya Pradesh State of India has been divided in to ten river basins. These river basins are
Mahi, Chambal, Kuwari Sindh, Betwa, Dhasan & Ken, Tons, Son, Waniganga, Tapti and
Narmada as can be seen in Fig. 1 & Fig. 2.
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Figure 1 River Basins of Madhya Pradesh (Source-SDMA, MP, 2018)
Figure 2 River Basins of Madhya Pradesh (Source-SDMA, MP, 2018)
In last 25 years, 36 flood affected districts of Madhya Pradesh have faced floods for 6 to
11 years, as can be seen in Fig. 3.
Figure 3 Flood affected districts of Madhya Pradesh (Source-SDMA, MP, 2018)
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This data as well as experience of last 40-50 years or more shows least vulnerability of
South of Bhopal district towards natural floods because of the rivers.
Analysis has been made using the historical IMD gridded daily temperature (maximum and minimum) and
rainfall data from 1951-2013 (63 years) for the districts of Madhya Pradesh (UNDP, 2017). The amount of
rainfall received has been slightly decreasing over Madhya Pradesh whereas this rainfall has been received in
fewer days over the period. Both of these trends have huge implications in terms of more severe floods, failure of
rain-fed crops, lesser groundwater recharge, enhanced soil erosion, etc. (UNDP, 2017). Projected Climate -
RCP4.5 (low), RCP8.5 (high) (near term: 2021-2050; long term: 2071-2100). Projected extreme events: Heavy
rainfall, heat waves, floods and drought are likely to increase in future and will become increasingly important
and will play a more significant role in disaster management (UNDP, 2017).
3. ABOUT THE STUDY AREA: BHOPAL
Bhopal is located in the central part of India, witnessing rapid urban development and
industrialization. Bhopal's 2018 population is now estimated at 2,254,000. In 1950, the
population of Bhopal was 100,000. Bhopal has grown by 152,000 since 2015, which
represents a 2.35% annual change. These population estimates and projections come from the
latest revision of the UN World Urbanization Prospects. These estimates represent the urban
agglomeration of Bhopal, which typically includes Bhopal's population in addition to adjacent
suburban areas.
City of Bhopal lies in the southern part of the district, and the majority of the population
resides within Bhopal municipality. Bhopal has been repeatedly subjected to stress and strains
of sudden increase and decrease in population. After independence, the rehabilitation of
migrant population and establishment of BHEL added to the sharp increase in the population
during the post independence era.
Fast urbanization in Bhopal during last four decades is resulting in increase in paved area
and decrease in the agricultural land, which used to act as a percolation zone which is
continuously depleting. Further, poor planning, urban sprawl, encroachments and illegal
construction, poorly designed and maintained storm water drains and inadequate solid waste
management resulting into choking and blockages in the drains. Unplanned urbanization and
poor management are therefore the main factors behind flooding in urban areas. As per the
National Disaster Management Authorities (NDMA) guideline, the imperviousness and
concretization in urban areas increases the flood peaks to 1.8 to 8 times and flood volumes up
to 6 times. Mostly the slums and squatter dwellers and lower income groups are more
vulnerable to urban floods as they tends to live in informal settlements with limited or no
provision for housing due to regional disparities. Figure 4 and Figure 5 shows Newspaper
clippings of 18th July 2018of urban flood in Bhopal and some water logged areas because of
4.5 inches of rains in 5 hours.
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Figure 4 Newspaper clippings of 18th July 2018of urban flood in Bhopal
Figure 5 Hamidia Road Water logged and Mahamai Ka Bagh Area : The Drainage System is
Overflowed
The problems due to vulnerability of rapidly growing cities to urban flooding increases
with the imperviousness the pace with which urban areas grows increases the imperviousness
that results in decreasing infiltration and percolation rate of water into the ground. the
unplanned urbanisation experienced by the urban areas and the inadequate storm water drains
within the city to carry run-off water and solid waste management is aggreviated by the lack
of coordination and integration among institutions responsible for managing city. Urban
flooding has now become a challenge to urban planners and policy makers for making cities
more resilient to urban floods. This emerging issue of urban flooding must be addressed
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through various planning strategies to guide the urban development and make cities more
resilient against urban flooding. Therefore there is need of the study to understand the factors
and to quantify the vulnerability of urban areas due to unplanned and unrealised development.
A detailed literature review was carried out to comprehend the critical issues regarding urban
flooding and for identifying factors responsible for it. Literature review also guided in
understanding the substantial findings through theoretical and methodological contributions to
a particular topic. It was observed after reviewing different case examples from different
context that there are metrological, hydrological and human induced factors which are
responsible for the huge devastations in urban areas during rainy seasons. Strategies from
various best practices were also reviewed to understand the mitigation measures which are
adopted by different cases. Bhopal city has been selected to conduct the study on the basis of
four selection criteria’s; undulating topography; well distributed rainfall pattern; rapid
urbanisation in terms of built up and population in 2 decades; and the past three events of
severe inundation of the city in last decade. First being very recent on 17th
July 2018, 4.5
inches of rains in 5 hours, second Bhopal gets 297.4 mm in 24 hrs by 5.30 pm on, July 9,
2016, breaking the record earlier one was 275.7mm on July 22, 1973. (SANDRP, 2016) in the
year 2006 Bhopal received 29cms of rain in a span of 5 hours in the month of August. Water
filled to as high as three to four feet in about 15 low lying areas of Bhopal. First stage of the
assessment shows that the 2006 event was the extreme event of heavy rainfall in which city
had received 54 percent of excess rainfall. The physical infrastructure of the city fails to cope
up the additional rate of runoff from paved surfaces and results in the affectation of 17 percent
of the total Bhopal’s population and 26 people were reported as died and 8728 houses were
partially or completely damaged during the event. Govindpura area was identified as the most
affected area within the city. Next event was recently happened in July – August 2016 in
which city had received 17 percent of excess rainfall and the destructions were as similar as
2006. Total 40 thousand people got affected and 5 – 6 people lost their lives as per the news
reports and around 8519 houses are affected during the event. Old Bhopal and Govindpura
area was identified as the most affected areas in the 2016 event. Recently in July and August
2018 Torrential rains battered Bhopal on claiming many lives overnight. Life in Bhopal was
thrown completely out of gear with houses in old as well as parts of the city flooded.
3.1. Reasons for urban flooding
Disasters can result in failed development, but failures in development planning can also lead
to disaster risk. (Kamat R. , 2015) Despite spending a huge amount on urban infrastructure
and planning over the years, the question emerges why Bhopal still remains susceptible to
waterlogging within a few hours of heavy showers. If the damage is assessed before the
occurrence of a disaster, measures can be taken beforehand to minimise the damages (Kamat
R. 2009). The following are the reasons identified for urban flood in the city:
City’s Geographical Character
Bhopal slopes towards north and southeast.
Hillocks of different altitudes are situated along the southwest and northwest parts of the
urban area.
Forming a continuous belt from the Singarcholi up to the Vindhyachal, to an elevation of
625 metres.
Dense Urban Growth in the City
Putting more burdens on the low- lying area.
Due to slopes in Bhopal, rainwater water flows fast towards low-lying areas, creating
waterlogging and flooding.
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Population density has been increases from 665 to 855 people per sq. km.
Unauthorized development in the peripheral areas.
Source: Bhopal Development Plan, 2005
Figure 6 Growth of the city and direction of growth sprawl period area
Inadequate sewerage and Storm water drainage
Nearly two-thirds of city does not have a proper sewerage system, especially in the peripheral
areas.
The city’s closed drains reach only 28-30 percent of its population.
The sewerage system in New Bhopal (the state capital) area is almost 40 years old. The
system operates through a 108-km sewer line
There is no storm water drain network for the entire city.
The BMC has drawn up a 2,200 crore detailed project report for setting up a sewerage
network and a 1,200 crore for setting up a storm water drain network. But both the mega-
projects are yet to get operational on ground
Water logging
The existing drainage system is stifled by encroachments, which create bottlenecks in nallahs,
leading to waterlogging and flooding every year.
Absence of integrated sewerage or storm water drainage network in the city.
Source: Based on data received from Bhopal Municipal Corporation, 2005-06
Development alters natural systems as vegetation and open spaces are replaced with new
areas of impervious surfaces such as roads, parking lots, roofs, and turf, which greatly reduce
infiltration and thus ground water recharge. Uncontrolled storm water runoff develops into
Floods. (Sheetal Sharma, 2013)
4. AIM AND OBJECTIVES OF THE STUDY
Before we discuss the Aim and Objectives of this paper, few research questions have been
prepared to reach till the objectives of our study:
What are the factors influencing the flood risk in the study area, including Land use/Land
cover type?
How those factors can become a set of indicators, which can be used as a tool for flood risk
analysis so that we can assess the most vulnerable zone of the city?
Which conceptual framework can be used to capture, analyse and assess the flood risk in
growing urban areas of the city?
What physical and socio- economic measures could be taken to decrease the flood risk in the
most vulnerable area?
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4.1. Aim
Aim being Urban flood vulnerability assessment of Bhopal. Objectives
To study the Socio- economic and environmental parameters of the city along with factors
influencing the urban flood risk.
To prepare a set of Vulnerability indicators from the identified factors.
To assess the identified vulnerability indicators through a suitable framework in the city.
To give physical proposals and planning provisions for the most vulnerable area.
4.2. Methodology
The study was conducted in five stages (Kamat R. 2017), (i) Topic Selection, and also the
theme of the journal given, (ii) Literature Review was further divided in two parts where, the
first one was Base line literature review (the need of the study and the problems were
identified) and another was Detailed literature review (understanding vulnerability concept
and the types of assessment methods). (iii) Indicator development and evaluation of indicators
based on expert survey, (iv) Suitability of indicators and finding the most vulnerable zone and
(v) Suggestive measures & Recommendations.
A methodology that uses indicators derived from geo-data and census data to analyze the
vulnerability to floods in a dense urban setting. A research framework will be developed to
assess and to identify problematic areas, for example, areas with a high number of people
exposed or areas with unfavorable usage.
The study will show that variables referring to the physical exposure of the affected
population are ranked as much more important for the present case than social characteristics,
such as age and gender, which again underlines the suitability of the selected method.
5. LITERATURE REVIEW
5.1. Vulnerability concept
Study aims to develop a framework for flood vulnerability assessment using a set of
indicators to identify the most vulnerable area within the city.
(Vulnerability= Exposure+ Sensitivity- Resilience)
Vulnerability covers variety characteristics of risk such as social, environmental physical
and economic.
Vulnerability may be defined as “Vulnerabilities must always be assessed in relation to a
specified threat (or hazard): which groups of people are vulnerable to what and why.” (IFRC,
1996)
Table 1 An overview of concept of Vulnerability
Source Definition
United nations
(1982)
Vulnerability is a degree of damage to a certain objects at flood risk
with specified amount and present in a scale from 0 to 1 (no damage to full damage)
Cannon (1994) People’s conditions and their social, political and economic behaviors
in the face of risks provide different degrees of vulnerability
Menoni and
Pergalani (1996)
Vulnerability term is damage goods, people, buildings, infrastructures and activities in hazard condition
Alexander (2002) The vulnerability of people and things to losses attribute to a certain amount of danger and probability that it will visible in a special
condition and with a certain degree
UNDP (2004) Vulnerability is a condition which is influenced by physical, social,
economic and environmental factors that raises the susceptibility of
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Source Definition people to the hazard impact
Wisner (2004) The characteristics of an individual or group of people and their condition that affect their ability to predict, tackling, struggle, and
recover from the effects of environmental threats
Adger (2006) Susceptibility to harm from exposure to pressures related with environmental and social changes, and in lack of adaptation ability
Næss (2006) A function of exposure, sensitivity, and adaptive capacity, generated by
multiple factors and processes
Balica and Wright
(2010)
Vulnerability is defined with interaction between Exposure, susceptibility and resilience of each community in risk condition
Borden et al.
(2007)
Distinct vulnerability means potential or sensitivity to losses or harm. Social vulnerability contains the susceptibility of society or social
groups to potential losses from hazards
Source: (Hajar Nasiri, 2016)
5.2. Urban floods
In urban regions there are multiple types of floods that can occur: costal flooding, riverine
flooding, flash floods, urban floods, and drainage system floods. Urban flooding is a growing
environmental concern in cities. Accordingly, urbanization has a significant influence on
flood behavioral changes in urban areas. The scenario study is the basic ingredient for
development of disaster management plan for vulnerable area (Kamat R. , 2007)
Consequences of Urban Flooding
Urban Floods results in stagnation of water on roads, railway tracks and in few cases even at
airports because of the inadequate storm water drainage capacity. This results in traffic jams
and traffic diversions resulting in loss of man-hours.
Communication ‐ Urban Floods results in stagnation of water on roads, railway tracks and in
few cases even at airports because of the inadequate storm water drainage capacity.
Economical – As communications is disrupted industrial production gets hampered. Prices of
essential commodities shoot up.
Social – There is a psychological stress as safe returns of family members are not sure.
Schools and colleges get closed. Displacement of population in low-lying areas and collapsed
structures generally meet stiff resistance.
Environmental – Water bodies get polluted. Waste disposal gets hampered due to traffic
disruption.
Health ‐The stagnation of water, pollution of potable water and accumulation of waste at
dustbins result in epidemics.
(ENVIS, 2015)
5.3. Urban flood vulnerability factors
All societies are vulnerable to floods, under different cases and situations, which make them
somewhat unique; understanding the distinctions amongst them, may help to plan ahead and
provide policy ideas to improve the quality of people living in them. Vulnerability assessment
is done on the basis of this equation: (Vulnerability= Exposure+ Susceptibility- Resilience)
Source: (UNESCO-IHE)
Exposure is defined as the predisposition of a system to be disrupted by a flooding event due
to its location in the same area of influence. (UNESCO-IHE)
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Susceptibility is defined as the elements exposed within the system, which influence the
probabilities of being harmed at times of hazardous floods. (UNESCO-IHE)
The capacity of a system to endure any perturbation, like floods, maintaining significant levels
of efficiency in its social, economical, environmental and physical components. (UNESCO-
IHE)
Figure 7 Flood vulnerability Factors
5.4. Vulnerability assessment methods
Before steps can be taken to reduce risk and vulnerability, they must first be understood
(Kamat R. 2017). Vulnerability assessments and risk analyses allow for the identification of
areas of critical concern and help to guide mitigation efforts.
There are a variety of vulnerability assessment methods, which are different in their
vulnerability description, theoretical framework, variables and methodology (Hajar Nasiri,
2016). According to earlier works vulnerability assessment methods can be categorized in
four distinct groups, which are given below:
Table 2 Vulnerability assessment methods
Method Vulnerability
index system
Vulnerability
index system
Disaster
loss data Model
Charact-
eristics
-Commonly
used in flood
vulnerability
studies
-Pertain to
complex indices
and weighting of
their subjective
•Is founded on
real damage
investigation
•Should be fairly
precise
•Takes a lot of
time and
resource
•Not valid for
other areas
Simple
Imprecise
•Low
validity in
data
shortage
condition
•Intelligible
for public
Source: (Nasiri, 2013)
This research will be based on the vulnerability Index System. The rationale behind
selecting this method is explained in the next section.
5.5. Flood vulnerability assessment through indicators
Vulnerability indicator method, which adapted to use available data for providing a logical
Image of the place vulnerability. This method is widely used in flood vulnerability studies and
preferred by policy makers for its clarified vulnerability image over space, a depiction which
aims to priorities measures and plan for the risk response in specified region. (Nasiri, 2013)
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This group of methods depends on complicated indices with and without weighting; however,
these methods also faced with considerable complexities related with standardization,
weighting and aggregation methods.
Uncertainty is one more struggle with this method. Since each additive layer includes a
diverse variable, struggle about variable Interdependencies must be fixed.
The best pro- posed solution for this concern is weighting variables to reduce their impact in
forming a final expression (Lein 2010).
Indicator based method does not measure flood risk directly, but contribute to evaluating
flood risk. (Nasiri, 2013)
5.6. Data collection and analysis
Research process includes processing of data to make inference. Analysis at different stages
includes primary as well as secondary data. All the information is segregated into two
components on the basis of physical and social parameters. Primary data was collected
through survey process (Kamat R. 2017). Expert interviews and site visits were the source of
primary data.
Data collection would be done ward wise because of the availability of data and the
analysis would be done zone wise because of the scale of urban floods. (Figure 4) Urban
floods leave the impact on large scale and are the consequence of nearby areas.
Figure 8 Map showing Zone and Ward wise Division of city Bhopal
Since, the focus of this study to develop the framework for urban flood vulnerability
assessment to identify the most vulnerable area. Data collection and analysis would be
divided into two key tasks. First is to collect the indicator related data and than identifying the
most vulnerable area, where as the second is finding the loopholes within the vulnerable areas
through site survey, expert interviews and HH survey
6. INDICATOR DEVELOPMENT
A range of widely-accepted relevant characteristics and indicators are being presented in
literature, the actual conditions that determine flood vulnerability are to a certain degree very
site-specific, location, and hazard-dependent. To some extent these indicators can also be
classified into social and physical parameters. Given below the list of parameters compiled in
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the table which were selected through relevant literature review and field surveys and expert
interviews (Kamat R. 2017).
Thus, Based on literature review social and physical parameter were identified. Thus
vulnerability factors were collected from secondary sources. Literature was also useful for
other Secondary information. Maps were required for spatial information as well as for
identifying.
These indicators (responsible for urban flood vulnerability fit the local conditions and the
flood characteristics best. At the same time, data for their assessment are available. (Table 4).
6.1. Data Checklist
Based on the set of indicators prepared in the above section a checklist was prepared listing
the sources of the data Collection and also the methodology the indicator can be assessed for
identifying the most vulnerable zone. (Table 5)
Apart from these, there was more information to be collected for identifying the most
vulnerable zone. A questionnaire was prepared for the zonal officers and the population
living in the locality asking about their experience with floods and if yes then what was the
duration of flood, how much time did it take to recover.
Also the information was collected regarding the quality of infrastructure they have in
their zones like water supply, drainage, sanitation, hospitals, schools etc., knowledge about
the flood hazards, and it’s protection measures. The analysis of indicators will help us to
identify the most vulnerable zones and the major issues of that area, which would play a
major role in deciding the direction of suggestions and recommendations.
Table 3 Selection of parameters relevant for the flood vulnerability in the urban area
No. Physical
parameter Relevance Indicators Reference
PHYSICAL VARIABLES
1
Main construction
material for roof,
walls and floor
Determines the physical fragility towards flood events
and indicates the resistance to damage and also the
social status
Some types of construction material allow humidity to
remain in the walls or floor after flood events which
can lead to health problems
i) Percentage of
household with Kutcha
roof
Schneiderbaue
r (2007);
Taubenbock
(2007);
ii) Percentage of
household with Kutcha
wall
iii) Percentage of
household with Kutcha
floor
iv) Percentage of
household with Pucca
floor
2 Condition of
household
People that live in houses with poor condition shows
much higher exposure to the floods
Number of households
in delipiated condition
to the number of total
households
Schneider
Bauer (2007)
3 Landuse
Rapid industrial, commercial and economic growth
promoted flooding with excess rainfall due to the total
impervious cover of the area.
The higher the amount of green spaces in an area, the
higher the retention potential and the lower the flood
hazard
i) Built up v/s Open
UNESCO-IHE
Stow et al.
(2007) ii) Proportion of green
spaces
4 Topography
Topographical elements influence land use and
drainage network elements. Topography changes on
flood parameters, such as maximum flood discharge
and time to peak.
Elevation (in meters) UNESCO-IHE
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5 Inundation areas Closeness of inundation areas is always a threat for the
people living overt here in case of heavy rainfall.
Proximity to
inundation areas UNESCO-IHE
6 Soil type
Type of soil in terms of percolation of water from the
surface is a major factor of concern in urban flooding.
It largely depends on the built-up cover of the area.
Porosity of the soil UNESCO-IHE
7 Ground water
level
Higher the ground water table is considered to be a
danger for urban areas. Water level reaches the surface
quite early in case of heavy rainfall.
Ground water
prospects
UNESCO-IHE
SOCIAL VARIABLES
5 Population
Because of large amount of people, more materials are
needed, like wood, land, food, etc. This aggravates
overgrazing, over cultivation and soil erosion, which
increases the risk of flooding.
Population Density UNESCO-IHE
6 Age
The young and the elderly people are vulnerable to
natural hazards both because of their physical condition
and their financial dependence.
Population below 6
years
Schneiderbaue
r (2007); Haki
et al. (2004);
7 Gender
Women are generally described as more vulnerable to
natural hazards than men because of their stronger
involvement in family life, sector-specific jobs and
lower wages
Sex ratio
Wisner et al.
(2004); Haki et
al. (2004
8 Number of
Households
The higher the household size, the lower the social
status and the higher the amount of people affected and
therewith the damage
Household size
Haki et al.
(2004);
Cutter et al.
(2003)
9 Level of education
Strong relation to income and social status contributes
to a better knowledge about natural extreme events and
their origins
Illiterate population to
the total population
Schneiderbaue
r (2007);
Velasquez
9 Employment
status
Indicates the regularity of income and therewith the
possibilities of a household to save money for flood
mitigation measures or to cope with negative affects.
Non working
population to the total
population
Dwyer et al.,
2004)
Table 4 Data source and methodology applied for the derivation of information
No. Indicators Data Source Methodology
PHYSICAL INDICATORS
1 Percentage of household
with Kutcha roof Census, 2011
Calculated the Number of total households in the zone made with
material, which are considered to be Kutcha for the construction of
roofs of the buildings. The percentage of Kutcha roof houses out of the
total number households was calculated
2 Percentage of household
with Kutcha wall Census, 2011 Similar as above
3 Percentage of household
with Kutcha floor Census, 2011 Similar as above
4 Percentage of household
with Pucca floor Census, 2011 Similar as above
5 Number of households in
delipiated condition Census, 2011 Similar as above
6 Built up v/s Open
Bhopal
Development plan
2005
Digitizing the landuse map of 2005 and than calculating the
percentage of built up cover to the total area of the zone.
7 Proportion of green
spaces
Bhopal
Development plan
2005
Digitizing the landuse map of 2005 and than calculating the
percentage of green cover to the total area of the zone.
8 Elevation (in meters) Bhuvan (DEM) Preparing the contour map in ArcGIS.
9 Proximity to inundation
areas
Bhopal
Development plan
2005 and media
coverage
Overlaying the map of inundation areas one over the overlaying the
zonal map of Bhopal.
10 Porosity of the soil Land use map Depends on the percentage of built up area present in the zone. More
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2005
(built up area)
Bhopal DP
built up reduces the porosity of the soil.
11 Ground water prospects Bhopal Municipal
Corporation 2005
Digitizing the ground water prospect map in GIS and than overlaying
it with zonal map of Bhopal.
12 Drainage pattern Bhuvan (DEM) Preparing the drainage map in ArcGIS.
SOCIAL VARIABLES
13 Population Density
(person per hectare) Census, 2011 Total population divided by the area of the zone.
14 Population below 6 years Census, 2011 Calculating the percentage of below 06 years to the total population of
the zone
15 Sex ratio Census, 2011 Number of female population to the male population.
16 Household size Census, 2011 Total Population to the number of household of the zone
17 Illiterate population to the
total population Census, 2011
The relative proportion of the sum of all people belonging to the
illiterate group to the total population of the zone.
18 Non working population
to the total population Census, 2011
The relative proportion of the sum of all people belonging to the non-
working group to the total population of the zone.
6.2. Analysis for weighing the indicator
A sensitivity analysis was carried out for identifying the weights of the most relevant
indicators based on the evaluation of the experts (Kamat R. 2017). The experts were asked to
rank the indicators on the scale of 1-5. The zone officers were also asked to rank the
indicators just to make them aware and know about their knowledge in the field of urban
flooding. It was observed that the physical indicators got the highest ranks as compared to the
social indicators because physical indicators are the urban flood driving factors whereas social
indicators and variables plays a minor role in causing the situations of urban flooding. The
table given below is the compilation and analysis of all the indicators ranked according to the
experts. (Table VI)
Table 5 Analysis of weighing with respect to urban flooding
Rank I II III IV V
PHYSICAL VARIABLES
1) Percentage of household with Kutcha
roof
2) Percentage of household with Kutcha
wall
3) Percentage of household with Kutcha
floor
4) Percentage of household with Pucca
floor
5) Number of households in delipiated
condition to the number of total households
6) Built up v/s Open
7) Proportion of green spaces
8) Elevation (in meters)
9) Proximity to inundation areas
10) Less Porosity of the soil
11) Ground water prospects
12) Drainage pattern
SOCIAL VARIABLES
13) Population Density (person per
hectare)
14) Population below 6 years
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Dr. Rajshree Kamat
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Rank I II III IV V
15) Sex ratio
16) Household size
17) Illiterate population to the total
population
18) Non working population to the total
population
Source:Expert survey
These experts were from the disaster management institute, EPCO (Environmental
Planning and Coordination Organization), MANIT (Department of Architecture and
Planning).
The indicators were ranked in respect to the urban flooding, like in the case of seasonal
flooding indicators do not play a major role because the seasonal floods are very prompt and
may have a huge impact on urban areas. But when we talk about urban floods, these are
highly influenced by the indicators given above and every indicator has its own significance
in causing floods.
Suitability of indicators in the framework (Identifying the most vulnerable zone The data
was collected ward wise and grouped together as zones for the analysis of the framework.
This framework comprises comparison of all the 14 zones w.r.t to each zone. The comparison
is depicted in the form of graphs and maps, later through the preparation of maps ranking of
each zone was done on the scale of 1-5 has been done, where 5 is most vulnerable and 1 is
least vulnerable. Data was entered into excel sheet, which was later linked to GIS and the
maps were generated for each indicator.
Zone getting the highest value depending on the vulnerability was ranked as of highest
vulnerability (5). The same process was repeated for individual indicators.
7. ASSESSMENT FRAMEWORK
In this section comparison of each zone has been done as per their degree of vulnerability
(Kamat R. 2017). Each zone was ranked on the scale of 1 to 5 for each indicator. Rank 5 is
given to the most vulnerable zone for a particular indicator and rank 1 is for the least
vulnerable zone.
5 4 3 2 1
Most
vulnerable Moderate
Least vulnerable
Weightage given by the experts has also been considered as visible in the table VII. The
values are put in the formula as given below:
where, VI is vulnerability index, vi is rank given by maps generated on GIS and qi is the
weightage given by the experts.
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Table 6 Ranking of the zones and weightage given to various indicators
S.
No. FINAL INDICATORS
Zone
1 2 3 4 5 6 7 8 9 10 11 12 13 1
4 WEIGHTAG
E (qi)
1 Household Condition: Delipiated
Households 4 5 4 2 3 3 3 2 2 4 1 5 2 4 5
2 Percentage of household with Kutcha roof 2 4 4 2 5 2 4 5 3 5 2 4 3 3 4
3 Percentage of household with Kutcha wall 3 3 3 2 4 3 3 5 3 4 1 3 4 3 3
4 Percentage of household with Kutcha floor 2 4 3 4 5 4 4 2 5 3 5 1 1 3 1
5 Percentage of household with pucca floor 4 1 3 3 2 3 3 4 2 1 2 4 5 4 5
6 Landuse (Built up area %) 5 1 4 4 5 3 3 4 3 5 5 1 3 2 1
7 Landuse (Proportion of green area) 4 3 3 3 3 1 1 2 5 5 4 4 2 3 5
8 Elevation: Highest elevation is ranked as
lowest 5 3 1 1 5 2 2 4 3 4 2 3 3 3 3
9 Inundation areas (Proximity to inundation
area) 4 3 5 1 4 5 5 5 3 5 1 3 1 1 1
10 Soil (Porosity) 5 1 5 5 5 1 1 5 5 5 5 1 5 1 1
11 Population (Population Density) 5 1 4 4 5 2 3 4 4 5 3 2 2 2 2
12 Age (population below 6 years) 1 3 3 4 4 3 2 3 4 4 1 3 3 3 5
13 (Gender) Female Population 1 1 5 3 5 4 3 3 4 3 5 3 3 3 2
14 Number of households (Household size) 3 4 3 4 5 3 2 2 3 4 1 1 2 2 4
15 Level of education (Illiterate population) 2 3 3 4 4 3 2 3 3 4 1 3 2 2 5
16 Employment status (non working
population) 1 1 3 4 4 4 1 5 4 4 2 2 3 3 4
Putting these value in the formula separately as discussed above we obtain a following
framework through excel. (Table VIII
Table 7 Ranking of the zones and weightage given to various indicators
S.
No.
ZONE 1 2 3 4 5 6 7 8 9
1
0 11
1
2 13 14
FINAL INDICATORS
1 Household Condition: Delipiated
Households 20 16 8 12 12 12 8 8 16 5 20 6 16 20
2 Percentage of household with Kutcha roof 8 8 4 10 4 8 10 6 10 4 8 5 6 8
3 Percentage of household with Kutcha wall 9 9 6 12 9 9 15 9 12 4 9 7 9 9
4 Percentage of household with Kutcha floor 8 6 8 10 8 8 4 10 6 7 2 3 6 2
5 Percentage of household with pucca floor 4 12 12 8 12 12 16 8 4 6 16 9 16 20
6 Landuse (Built up area %) 5 20 20 25 15 15 20 15 25 1
0 5 8 10 5
7 Landuse (Proportion of green area) 12 12 12 12 4 4 8 20 20 8 16 6 12 20
8 Elevation: Highest elevation is ranked as
lowest 15 5 5 25 10 10 20 15 20 7 15 8 15 15
9 Inundation areas (Proximity to inundation
area) 12 20 4 16 20 20 20 12 20 5 12 5 4 4
10 Soil (Porosity) 5 25 25 25 5 5 25 25 20 1
0 5
1
0 5 5
11 Population (Population Density) 5 20 20 25 10 15 20 20 25 8 10 7 10 10
12 Age (population below 6 years) 3 3 4 4 3 2 3 4 4 2 3 4 3 5
13 (Gender) Female Population 1 5 3 5 4 3 3 4 3 6 3 4 3 2
14 Number of households (Household size) 12 9 12 15 9 6 6 9 12 4 3 5 6 12
15 Level of education (Illiterate population) 6 6 8 8 6 4 6 6 8 3 6 4 4 10
16 Employment status (non working
population) 1 3 4 4 4 1 5 4 4 3 2 4 3 4
Total value: 126 17
9
15
5
21
6
13
5
13
4
18
9
17
5
20
9
9
2
13
5
9
5
12
8
15
1
PH
YSIC
AL
IND
ICA
TOR
S SO
CIA
L IN
DIC
.
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Figure 9 Comparison of zones
In the above chart depicts the number of times a particular zone has been ranked with the
degree of vulnerability.
Zone number 4 and 9 has the highest rank of vulnerability out of which zone number 9
has been ranked with the degree 4 and 5 the maximum times. 7 out 16 indicators have been
ranked with degree 5 and 6 with the degree of 4. Also zone number 9 overlaps with the flood
affected areas during the floods of 2006 and 2016.
Hence, considering all the aspects and comparison of indicators zone 9 has been identified
as the most vulnerable zone. The most vulnerable zone has been identified and now the
loopholes in that particular zone will be discussed and the suitable suggestions and
recommendations would be given for the zone.
7.1. Brief introduction to most vulnerable zones (zone 4 & 9)
Urban floods can be prevented with the help of adequate physical planning and emergency
measures through flood.
Management, it can often reduce their disastrous consequences. Inceptions of any flood
management normally begin after a major flood event. People always have some other
priorities until a major disaster happens.
So, to avoid such hazardous situations measures shall be taken at the administrative level,
community level and even at the household level. Mitigation planning is always about taking
care of the present with the past experiences and future projections.
Here, in this case zone number 4 and 9 were identified as the most vulnerable zones. To
understand the root causes of urban flooding in these areas site visits and field surveys were
carried out. People living in the core problematic areas within the zone were asked about the
issues they have been facing and what changes do they want in their living and their
surrounding for a better environmental conditions.
Since, there are more areas facing the some problem but zone number 4 & 9 getting the
highest weightage are considered to be the standard cases for the worst conditions of urban
flooding. The further sections will give a brief profile of both the zones.
Both the zone lie adjacent to each other situated in the north of upper lake and lower lake
as well the city Bhopal. These zones are known for their ancient history and cultural values
because of the zones are few of the oldest and most congested areas of the city.
0
50
100
150
200
250
ZONE
1ZONE
2
ZONE
3
ZONE
4
ZONE
5
ZONE
6
ZONE
7ZONE
8
ZONE
9
ZONE
10
ZONE
11
ZONE
12
ZONE
13
ZONE
14
ASSESSMENT FRAMEWORK:
Comparison of zones
Total value after putting the values in framework
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Source: MPUIIP GIS BASE Map Bhopal
Figure 10 Location of vulnerable zones
The development activities has been happening since a very long time so there is no
proper planning of the buildings and other infrastructure like sewerage, drainage, water
supply, electricity etc. Zone 4 consists half of the old walled city of Bhopal, the area is itself
known as “old city”. Other major old areas in the zones are Ghora Nakkas, Itwara, Hamedia
hospital, maha mai ka bagh, aish bagh etc. Zone 9 is popular for having one field hockey
stadium in the Aish bagh area, which is known as Aishbagh stadium. Figure 6, shows the
location and the major Landmarks of both the zones.
7.2. Vulnerable areas within the zones
Figure 11 Vulnerable areas within zones
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The zone 4 and 9 are identified as the vulnerable zones in the case of urban floods, but
even in the zones we have the most critical areas having very poor conditions and influencing
the whole zone, resulting into the most vulnerable zone. So, the same way these zones have
few problematic areas like slums or densely populated areas, which collectively affect the
whole zone. Figure 8 over here depicts few of these areas.
Source: Field visits and Imagery su
Figure 12 Vulnerable areas within zones (Images)
Cities have been permanently developing their water-related infrastructure and
discharging their urban waters into the nearest water body. During time, natural, undisturbed,
discharging conditions were becoming deteriorated due to the raising of the river water stages.
Floods in urban conditions are flashy in nature and occur both on urbanized surfaces
(streets, parking lots, yards, parks) and in small urban creeks that deliver water to large water
bodies. Other causes of urban floods are:
Inadequate land use and channelization of natural waterways
Failure of the city protection dikes
Inflow from the river during high stages into urban drainage system
Surcharge due to blockage of drains and street inlets
Soil erosion generating material that clogs drainage system and inlets
Inadequate Street cleaning practice that clogs street inlets
Sudden Urban Floods disrupt the social systems of the countries and the cities, and cause
enormous economic losses. Impacts produced by increased runoff in urban setting are the
following:
Loss of human life
Flooding of housing, commercial and industrial properties
Flooding of streets, intersections and transportation systems, causing traffic delays
Recurring basement backups from surcharged sanitary sewers
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Inflow of storm water into sanitary sewers
Municipal wastewater treatment plant by-passing
Combined sewer overflows- spilling the surcharged sewers content into streets
Damage to public and personal property
Health hazards
Disruption of services such as water supply, sewerage and power supply
Delays in public transportation
Cleanup demands
Adverse effects upon the aesthetics
Disturbance of wildlife habitats
Economic losses
Pollution of local waterways and receiving water bodies
7.3. Suggestions and recommendations
If the damage is assessed before the occurance of a disaster measures can be taken beforehand
to minimise the damages (Kamat R. 2009). Our objectives of flood management are specific
final results that should to be achieved in a predetermined timeframe. Those are:
Reducing exposure of people and property to flood hazards
Reducing existing level of flood damages
Minimizing soil erosion and sedimentation problems
Protecting environmental quality and well-being by reducing in-the-catchment pollution
Improving the usefulness of floodplains
Minimizing receiving water pollution
Reducing future after-development flow rates to pre-development levels
Enhancing recreational opportunities and improving overall urban amenities
Replenishing ground water
The FM measures can be categorized into structural, non-structural measures and capacity
building. Structural measures for FM are physical in nature and aim to prevent floodwaters
from reaching potential damage centers, whereas non- structural measures strive to keep the
people away from floodwaters.
8. CONCLUSION
An optimal engineering solution may not be the best because of social and institutional
constraints, which means that traditional engineering codes reflect criteria which are not
anymore politically permissible. The origins and consequences of flooding have to be fully
understood, particularly in developing countries, in order to propose and justify adequate
institutional strengthening (regulatory agencies, conservation authorities) which should
overcome existing institutional and political barriers. Broad multi-media promotion of non-
structural urban flood management measures should be carried out particularly at the level of
local communities where flood protection facilities are exposed to atrophy due to globally
experienced budgetary cutting. Urban flood risk depends on a combination of components
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Dr. Rajshree Kamat
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comprising hazard and vulnerability. It underlines the combination of natural and human
factors that create flood risks. Urban flood planning and management measures have to be
planned across administrative and sector boundaries. Institutionalized links between
concerned authorities facilitate cooperative planning. Successful urban flood risk management
is obtained if structural and non-structural measures are implemented. The implementation of
multiple purpose measures enables municipalities to achieve multiple goals such as flood
mitigation, water supply, space for recreational activities, groundwater recharge and
improvement of urban environment. Monitoring and evaluation of implemented measures
enable the identification of best practices under the specific circumstances and help to
constantly improve flood risk management plans. Community participation in flood risk
assessment as well as in planning and implementation of risk management measures is a key
for the success of urban flood risk management plans. As per the outcome of the research,
further research should be done for proper preparedness and response during future urban
flood of not only Bhopal but also other cities. In the context of urbanization, disaster risk
increases as a result of lack of smart planning/sustainable city planning. Vulnerability
assessment based planning for the future risks found above Show the link between DRR and
city and urban planning which will further guide for future practices/policies of town and
urban planning which is the benefit of making risk reduction an integral part of local
development. The importance of good information for urban risk assessment, government
civil society collaboration, and links between local, national and regional levels of
government is also evident.
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