Enhanced Flood disaster Response Capability

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ENHANCED FLOOD DISASTER
RESPONSE CAPABILITY
Business Plan: Developing high resolution remote sensing technology into
an advanced knowledge management system to monitor, assess and plan
emergency responses to during flood disasters
TABLE OF CONTENTS
Contents
I. Executive Summary ____________________________________________________________________________________ 1
II. The Initiative ___________________________________________________________________________________________ 2
III. Marketing & Sales_____________________________________________________________________________________ 7
IV. Social Purpose _______________________________________________________________________________________ 12
VI. Finance ______________________________________________________________________________________________ 13
VII. Implementation Plan ________________________________________________________________________________ 1
VIII. Your Biography ______________________________________________________________________________________ 9
Contact Information ____________________________________________________________________________________ 11
I. EXECUTIVE SUMMARY
I. Executive Summary
Every year Kazakhstan experiences hundreds of natural disasters ranging from earthquakes to mudslides
and flooding affecting thousands of people including a death toll of 100s. Many of these are preventable if
risk assessments are used to better predict flood events and influence the planning and activities in river
basins. They would also be preventable if better information was available prior to natural disasters for
planning of emergency preparedness and during disasters for leading disaster recovery events.
Remote sensing technology is increasingly used for water resource monitoring and assessments during
flood disasters and river flooding as it provides unique methods and solutions to meet the information
requirements of water engineers responsible for water resources management.
This project aims to advance the application of Remote Sensing in the context of flood disaster management
by integrating high resolution remote sensing technology into a map-based Knowledge Management System
(KMS) that provides valuable information to decision makers, disaster recovery teams and the public. The
system uses satellite and meteorological data to enable risk and impact assessments. During disasters, it is
capable to use geo-spatial imagery from unmanned aviation vehicles (UAV) to provide real time information
for emergency and response planning.
This geo-spatial platform is used as an early warning system for experts to predict and plan for emergencies
including the assessment of emergency impacts, the planning of evacuations and the movement of tactical
response units. The platform also enables the sending of alert messages to mobile phone users within risk
areas and the coordination and monitoring of tactical response units via GPS.
Page 1
II. THE INITIATIVE
II. The Initiative
o Provide in brief information about your business concept, its mission/vision, and social purpose.
o Tell us why you will be able to implement your proposal.
o Provide a brief summary of the skills, experience, knowledge, and responsibility of all the people involved
or to be involved with your business.
o What valuable connections do you have with external parties such as NGOs, government, trade
associations, funding organizations, etc.
The special features of Kazakhstan’s nature make it potentially susceptible to such natural disasters as:
earthquake, debris flows, avalanches, landslides and mudslides, drought, sharp drops in air temperature,
blizzards and snowstorms, rising water levels, river flooding and flooding of other water bodies.
Floods are the most life threatening hydrologic extremes and are one of the most widespread natural
disasters. A 20-year (1985-2004) record shows that on average 150 flood events occurred each year across
the globe resulting in 7500 deaths and approximately $15 billion in property and economic damage
(Stromberg (2007)). There were underflooded 2515 houses, 4 bridges, 8 schools, one city, 12 villages in
2002, 2008, 2011 and 2013 floods in Kazakhstan (UNDP program, 2013, Kazakhstan).
Direct losses from natural disasters exceed well over US $20 million per year. That data does not take into
account the possible effects of large-scale catastrophes, which have occurred many times in the history of
Kazakhstan, particularly catastrophic earthquakes (UNDP, 2000).
With regard to flood disasters, it is important to note that in the last years the number of floods as a result of
human activity has risen sharply. For example, floods on the Syrdaria river occur due to the increased level
of water release from the Shardara reservoir in winter (due to violation of water release schedule). Threat is
also posed by sewage water reservoirs of a number of Kazakhstan's large cities (Almaty, Aktyubinsk, Taraz
and others).
From a disaster relief perspective, floods and high levels of soil moisture can impede movement of troops
and tactical vehicles in humanitarian relief efforts, affect deployments across terrain or in river crossing
operations, create delays in supply chains, or impede the success of humanitarian mission activities. On the
other hand
This project aims to advance the application of Remote Sensing in the context of flood disaster management
by integrating high resolution remote sensing technology into a map-based Knowledge Management System
(KMS) that provides valuable information to decision makers, disaster recovery teams and the public. The
system uses satellite and meteorological data to enable risk and impact assessments. During disasters, it is
capable to use geo-spatial imagery from unmanned aviation vehicles (UAV) to provide real time information
for emergency and response planning.
This geo-spatial platform is used as an early warning system for experts to predict and plan for emergencies
including the assessment of emergency impacts, the planning of evacuations and the movement of tactical
Page 2
II. THE INITIATIVE
response units. The platform also enables the sending of alert messages to mobile phone users within risk
areas and the coordination and monitoring of tactical response units via GPS.
Remote sensing technology can directly contribute to water resource monitoring and assessments during
flood disasters and river flooding. Moreover, it provides unique methods and solutions to meet the
information requirements of water engineers responsible for water resources management.
This project aims to advance the application of Remote Sensing in the context of flood disaster management
by integrating high resolution remote sensing technology into a map-based Knowledge Management System
(KMS). Remote Sensing Technology used to complement the development of a Knowledge Management
System by advancing the remote sensing capability and image processing to near-real time. This capability
can be used to monitor and assess a river basin to develop flood extent and predictions.
The objective of this research and engineering project is to:
 Develop a knowledge management system for water resources development and management
 Integrate remote sensing technology into a knowledge and communication platform
 In, details, to study the practice of water resource management and information sources as they
relate to the river basins in East Kazakhstan
 Obtain Remote sensing data and develop software algorithms to synthesize hydrological data
 To conduct research on flood potential of rivers for the development of geospatial flood risk maps
Page 3
II. THE INITIATIVE
This project uses high resolution remote sensing data to develop advanced algorithms for assessing and
monitoring water resources for river basin water resource management (Figure 1). The data is provided by
Kazakhstan state company ‘KGS’ from its own remote sensing Satellites KazEOsat-1 and KazEOsat-2 or KGS
partner’s satellites. The project will use Remote Sensing data procured from a high resolution (1 m
panchromatic and 4 m multispectral) remote sensing and it is anticipated that accurate bathymetric
measurements can be achieved up to 20 meters and deeper.
Figure 1. Development and application of algorithms
A conceptual knowledge management framework has been developed to enquire and collect relevant
information for flood related disaster management and recovery. The framework was developed by
understanding and mapping water resource management and decision making processes. The framework
includes nine (9) distinct but interrelated components. These are shown in Table 1.
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II. THE INITIATIVE
TABLE 1. Components of Water resources knowledge management framework
Water resources knowledge management framework
Water Resource Strategy and Policy
Stakeholder Management
Ownership, Responsibility, Authority and Resources
Inventory of the water resource and its infrastructure
Condition and Performance of a water resource and its infrastructure
Valuations and Financial Review
Monitoring, Control and Knowledge Management
Internal Process Development and Review
Risk Assessment, Management, and Emergency Response
The Knowledge Management System consists of four parts: wireless sensor network, local server,
monitoring service platform and application server which are connected and operated coordinately. They
form an integral part of real time data collecting, management of information, comprehensive analysis and
supporting planning, and real time control. The previously developed algorithms will be embedded into the
software script to integrate (near) real-time monitoring and control into a software platform used to
manage water resources and their controlling infrastructure.
It can be divided into two parts: central management system and communication system. The central
management system includes a monitoring service platform and application server. The monitoring service
platform provides real time data collection of various parameters related to water resources management,
such as temperature, moisture content (air humidity), water flow rate, water volume, water quality and rain
fall. The system analyses the validity of the data before saving it to a central database. It can output the
information in a variety of charts or simulation graphs to show trending including short term forecasting or
prediction. That involves mathematical modelling using artificial intelligence and context-awareness, based
on data that have been collected.
Apart from that, the system has built-in decision making, for example activate certain control, or send alert
messages, when there is a sudden change in key parameters. The communication system includes both
wired and wireless communication. Various sensors are communicating wirelessly with a control terminal
(local server that serves as a coordinating focal point) that is located within the coverage area using various
standards.
Page 5
II. THE INITIATIVE
Stereoscopic images of an area are used to develop a data elevation model (DEM) of a river bed. The
challenge with collecting stereoscopic imagery of the shallow ocean floor is in how light interacts with the
water interface. At high angles of incidence, light is completely reflected off the water surface thus
preventing any sub-aquatic profiles from being observed. In this application, sensors are required to collect
enough high-resolution stereoscopic imagery within the narrow angle to penetrate the surface of a water
body.
Furthermore, once these very high resolution images analyzed, this data will be put into KMS. Therefore,
based on imagery data web-based software it would be possible to predict flood extent and send ‘warning
messages’ to residents living nearby a water body.
It is crucial to integrate local knowledge, GIS and maps into the process of disaster risk management. There
are three main reasons for this integration: (i) a hazard map plays a key role in disaster risk identification,
and it is an effective tool in making local knowledge visible; (ii) local knowledge is essential for disaster risk
management; and (iii) GIS maps have advantages over conventional maps. First, hazard maps are
fundamental to the development of a community-based methodology for collecting and displaying the
disaster vulnerabilities and risks that comprise the core content of local knowledge (Hatfield,2006). Hazard
mapping is one of the first steps of producing a community vulnerability inventory. The flood disaster
mapping can contribute to proper planning and resource allocation for disaster preparedness.
With the mapping and geo-spatial analysis of information as a basis, it is anticipated that the integration of
real-time monitoring provides a comprehensive knowledge management systems to support water resource
management and environmental engineering decision making processes in regulatory and public agency
organizations. It is anticipated that the development of a real-time online monitoring and assessment
capability based on genetic algorithms and statistical pattern recognition has potential to find significant,
customized application to advance the management of water resources and environmental systems by
enabling real time and remote monitoring of physical and hydraulic attributes of water resources.
Once we have a prototype of the web-based software application established, we will register a Limited
Liability Company that will offer a web-based software and data subscriptions to our customers. Currently,
we are targeting one particular client segment: any government agency involved in water resources
management.
Page 6
III. MARKETING & SALES
III. Marketing & Sales
o Describe your product or service
What is the innovation? How is it innovative? How does it differ from current
products or processes?
Description of your products or services
o The Market
Talk about your target group. Who will buy your product and why?
• What is your Unique Selling Point (USP)
Market research data you have about the market size, value, etc.
Talk about your competitors in this market and your competitive edge.
o What is your marketing strategy? Describe your marketing mix using the 4Ps (product, price,
place, promotion)
This project aims to advance the application of Remote Sensing in the context of flood disaster management
by integrating high resolution remote sensing technology into a map-based Knowledge Management System
(KMS) that provides valuable information to decision makers, disaster recovery teams and the public. The
system uses satellite and meteorological data to enable risk and impact assessments. During disasters, it is
capable to use geo-spatial imagery from unmanned aviation vehicles (UAV) to provide real time information
for emergency and response planning.
This geo-spatial platform is used as an early warning system for experts to predict and plan for emergencies
including the assessment of emergency impacts, the planning of evacuations and the movement of tactical
response units. The platform also enables the sending of alert messages to mobile phone users within risk
areas and the coordination and monitoring of tactical response units via GPS.
The objective of this project is to develop a web-based GIS knowledge management software for water
resources assessment and monitoring, and emergency response planning and monitoring.
The application is used for

Page 7
Conducting flood risk assessments
III. MARKETING & SALES



Providing valuable information for disaster recovery planning and recovery to emergency response
units
Providing valuable information for decision making support to emergency services providers
Provide general flood risk information and impact assessments to the public
The application requires




Integrate remote sensing technology into a knowledge and communication platform
Obtain Remote sensing data and develop software algorithms to synthesize hydrological data
Conduct research on flood potential of rivers for the development of geospatial flood risk maps
Development of a web-based access platform for the public, emergency response services and other
government authorities.
The application developed in this project will form a prototype for water resource & infrastructure
knowledge management system that is used for emergency response planning and supervision of tactical
responses to emergencies. With the mapping and geo-spatial analysis of information as a basis, it is
anticipated that the integration of real-time monitoring provides a comprehensive knowledge management
systems to support water resource management and environmental engineering decision making processes
in regulatory and public agency organizations. It will also have a public access platform – web-based – for
the general public to find information on flood risk and flood impact assessments.
The web-based subscription service offers continuous information services for the information we
developed with our algorithms and makes this information available at a mouse click. The knowledge
management systems makes these electronic data available to our subscribing customers and eliminates
any need for information stored on paper. Therefore, we improve access to information which will lead to
better and faster decision making processes when it comes to water resources management.
Once this information has been generated it is available over a secure web access to any user in the
subscribing agency. As part of the subscription, new information that is generated with new sattelite data
and our algorithms will be stored in the secure data ware house and is made available via the webportal to
customers. New information will be generated based on the overflight frequency of KazEOsat-1 and
KazEOsat-2 which is 2 weeks for any given location in Kazakhstan.
Innovation No.1: High resolution remote sensing.
The development of a real-time online monitoring and assessment capability based on genetic algorithms
and statistical pattern recognition has potential to find significant, customized application to advance the
management of water resources & environmental systems by enabling real time and remote monitoring of
physical and hydraulic attributes of water resources. The integration of advanced algorithms to assess and
Page 8
III. MARKETING & SALES
monitor water resources for river basin water resource management into a prototype for a water resource
monitoring capability that is complementary to on the ground field observation stations is novel.
Innovation No. 2: Knowledge Management.
The management of water resources and its infrastructure – in particular during flood events - requires
evidence-based decisions that are based on capabilities to monitor, evaluate and optimize water resource
management activities. Tools and processes at strategic, policy and tactical level form an integrated
monitoring and control framework to proactively and consistently identify and assess water resources. This
places the identification, assessment and control of water resources at the center of water resource
management and therefore the availability and quality of information at the center of decision making and
incident management.
It is crucial to integrate local knowledge, GIS and maps into the process of disaster risk management. There
are three main reasons for this integration:



a hazard map plays a key role in disaster risk identification, and it is an effective tool in making local
knowledge visible;
local knowledge is essential for disaster risk management; and
GIS maps have advantages over conventional maps. First, hazard maps are fundamental to the
development of a community-based methodology for collecting and displaying the disaster
vulnerabilities and risks that comprise the core content of local knowledge (Hatfield,2006).
Hazard mapping is one of the first steps of producing a community vulnerability inventory. The flood
disaster mapping can contribute to proper planning and resource allocation for disaster preparedness.
In our initial development scenario, we are targeting specific government agencies involved in water
resources management which is primarily the Government Committee of Water Resources.
In the past 20 years Kazakhstan has experienced significant changes in the structure of its Ministries and
agencies. For example, the Committee for Water Resources was initially part of the Ministry of Agriculture
and Irrigation, then it was passed over to the Ministry of the Environment which was subsequently
remodeled into the Ministry of Environment and Water Resources. In addition, the Committee itself has
seen numerous structuring efforts with older, knowledgeable staff being retired and new staff brought in as
administrators. Over that time, it is believed that the Committee of Water Resources has lost key knowledge
on the existence, condition and operability of water resources infrastructure. This loss of information and
knowledge which was traditionally held in paper files is now largely redundant, out of date or considered
highly unreliable.
One of the biggest tasks is to rebuild that knowledge of the water resources systems in Kazakhstan and
make them less vulnerable to changes within the Ministries and the Committee. This is achieved with our
software solution which will capture data on water resources in Kazakhstan and store them in a highly
Page 9
III. MARKETING & SALES
secured data warehouse for as long as the information is needed. initially, this knowledge will be built using
the remote sensing data and our algorithms which we predict to be more superior than any information on
file with the committee and Kazhydromet – the hydrological data provider to the ministry of the
Environment and Water Resources.
We have established a memorandum of understanding to collaborate and commenced negotiations for a
pilot project.
Other institutions who are targeted in our marketing strategy are KazhydroMet, Ministry of Agriculture,
Water Resources Catchment Basin Units, etc. Considering that the remote sensing data is purchased from
KGS (Garysh Sapary) for the specific purpose of improving information availability and reliability, the
knowledgle management system is also marketed to commercial farming business with an interest in
irrigation systems and crop / harvest management.
The price for the subscription service for one institution is currently estimated at an initial rate of $15,000
US (equivalent in KZT) and $3,000/year thereafter. Multiple licenses per institution are negotiable.
In addition, to this core service of image processing, storage and releasing of information to customers, we
offer additional services for digitizing and processing geo-spatial information. For example, any information
on water resources infrastructure (canals, reservoirs, pipes, pumping station, etc) can have additional
attribute data added onto GIS overlays. This may include age, material, condition grades, investment cost,
annual operational costs but also operations management plans, maintenance management plans, risk
assessments and risk management plans including contingency and emergency preparedness plans.
Considering that these custom developments use client data, we will implement a strict policy on data
protection which will only release data to contractually specified users in accordance with legal agreements
as prescribed by the data owners. This additional service is not included in the base subscription and is
priced on level of effort at guaranteed labour rates (that reflect appropriate staff experience and cost).
A third service component is the development of new software features that can be used for additional
decision making processes. for the committee of Water Resources, this may include data-driven processes
for structured condition assessments for water resources infrastructure, a maintenance planner and
scheduling capability a capital investment planning tool, etc. These additional features can either be
developed as custom made solutions for particular end users and can either be financed through client
budget if it constitutes a custom development that is part of the base subscription. Alternatively, these
additional features are developed for a broad client group by re-investing LLP profits and releasing new
modules for additional subscriptions.
Once we have a prototype of the web-based software application established, we will register a Limited
Liability Company that will offer a web-based software and data subscriptions to our customers. As part of
Page 10
III. MARKETING & SALES
the base subscription, the LLP will maintain data records using dedicated data management processes and
quality assurance tools and techniques.
In summary, there is a strong argument for the Committee of Water Resources and the ministry of
Environment to use our services as it will significantly improve water resources decision making. Needless
to say, that our technology integration with remote sensing and knowledge management can be applied to
many other clients using the same technology. Here is a listing of potential clients and their uses of the
remote sensing processing and knowledge management architecture:



Page 11
Ministry of the Environment for Land use management but also aquatic pollution monitoring
Ministry of Agriculture and irrigation and commercial agro-businesses for crop management
Ministry of Transportation, urban centers for Highway monitoring and management and traffic
IV. SOCIAL PURPOSE
IV. Social Purpose
o Who will benefit?
o Why is there a need for a social enterprise?
o How will running a social enterprise meet the identified need?
o How will you measure your social impact?
o What support is there to help you to measure your social impact?
V. Growth
o What is the potential for your submission’s growth?
Kazakhstan’s nature is highly susceptible to natural disasters such as earthquake, debris flows, avalanches,
landslides and mudslides, drought, sharp drops in air temperature, blizzards and snowstorms, rising water
levels, river flooding and flooding of other water bodies. Direct losses from natural disasters exceed well
over US $20 million per year. Every year, these natural disasters affect thousands of people including a death
toll of 100s every year. With respect flood, many of these casualties are preventable if risk assessments are
used to better predict flood events and influence the planning and activities in river basins.
They would also be preventable if better information was available prior to natural disasters for planning of
emergency preparedness and during disasters for leading disaster recovery events. This geo-spatial
platform is used as an early warning system for experts to predict and plan for emergencies including the
assessment of emergency impacts, the planning of evacuations and the movement of tactical response units.
The platform also enables the sending of alert messages to mobile phone users within risk areas and the
coordination and monitoring of tactical response units via GPS.
The platform also has a web-portal for the general public to review flood risk assessment maps and any
ongoing flood events. A link to this webportal can be placed on all government websites and local media.
Page 12
VI. FINANCE
VI. Finance
o Your forecast financial figures such as expected turnover and profit. Include details such as
equipment, expenses, etc.
o Details of any funding secured, previous funding or large scale funding.
o Details of any additional finance required and methods of raising finance.
o How long will it take to achieve sustainability?
The project budget for this project is estimated at $233,000 (US equivalent in KZT). The budget includes all
labour and material costs and services and fees for accessing a high resolution satellite to provide 1 – 2 m
resolution multispectral imagery with 8-band multispectral imagery sensors including one sensor focused
on the 400 – 450 nm range. Ideally, the satellite has a revisit time of one day. The satellite should be nongeo-stationary to enable the angular production of imagery to develop a photogrammetric approach to
digital elevation modelling for water resources management in Kazakhstan. Services and fees for JSC
«National Company «Kazakhstan Gharysh Sapary» are included in this proposal.
A detailed project budget is included overleaf.
$10,000 is provided as seed capital from this competition.
$33,600.00 and $28,800.00 labour cost for Dina Kaskina and Roland Bradshaw are in-kind contributions in
return for share holding in the LLC of Labour cost for Shamshagul Mashtaeva, Yau Hee Kho, Alex James
($19,200.00, $36,000.00, $36,000.00, respectively) are personal loans at 8% with convertible share option.
Expenses for JSC «National Company «Kazakhstan Gharysh Sapary», RK Committee for Water Resources
other expenses and equipment ($3,200.00, $6,400.00, $11,440.00 and $25,000.00, respectively) are
financed with a commercial loan at 8% over three years.
The price for the subscription service for one institution is currently estimated at an initial rate of $15,000
US (equivalent in KZT) and $3,000/year thereafter. This represents a NPV of 25,500 at 15% interest over 10
years. At an investment of $233,000, 10 licenses need to be sold to realize a breakeven. Within Kazakhstan,
we are targeting the sale of 15 licenses to emergency response authorities primarily in areas at risk of
flooding, in addition to high level government authorities (Committee of Water Resources, Ministry of the
Environment).
Considering that the technology – once developed – can be applied in any country, we are confident that this
technology can be sold in other regions and countries.
Page 13
120
180
120
150
150
80
Equipment
Expenses
Total Labour cost
Total hours
RK Committee for Water
Resources
JSC «National Company
«Kazakhstan Gharysh
Sapary»
Alex James – Software
Engineering, NU
Yau Hee, electronics
engineering, NU
Shamshagul Mashtaeva,
Water resources
management
Roland Bradshaw
Dina Kaskina, Principal
VI. FINANCE
Total
80
Rate US
Project
Management
40
WP 3 - Remote
Sensing
80
80
80
120
120
WP 4 Knowledge
management
WP 6 - Final
Report &
Dissemination
of Results
80
80
80
120
120
Sum Hours
Sum Labour
cost
40
40
$4,800.00
$2,000.00
$0.00
$6,800.00
40
560
$76,000.00
$3,800.00
$10,000.00
$89,800.00
40
520
$72,800.00
$3,640.00
$15,000.00
$91,440.00
80
$9,600.00
$2,000.00
$0.00
$11,600.00
$163,200.00
$11,440.00
$25,000.00
80
280
160
160
240
240
40
80
$33,600.00
$28,800.00
$19,200.00
$36,000.00
$36,000.00
$3,200.00
$6,400.00
$32,937.60
Finance at 8%
$232,577.60
Total
Page 1
VII. IMPLEMENTATION PLAN
VII. Implementation Plan
The project will be delivered in discrete work packages.
Work Package 1 (WP1): Project Management Plan
As part of the Project Management Plan, the Principal Investigator will develop a Project Charter and will
put control and coordination procedures for the project activities in place that are based on PMBOK project
management standards areas of knowledge and processes. The project management plan will further
develop the milestones and deliverables, quality assurance procedures, communication and management of
resources as well as the risk management plan. Subject to changes in the budget allocation, the project
scope will be confirmed at the project kick-off meeting.
A stakeholder communication plan will be established and stakeholder liaison meetings will be held at least
once every two month. The meeting will be conducted in Russian and English. Considering the importance
of external stakeholders involvement in this project,
For this project, it is anticipated that the core project team will have progress meeting once every three
months. Minutes of the project meetings will be documented; action items will be assigned to project team
members and a completion date will be set. A quarterly project progress report will be documented and, if
required, submitted to the stakeholders of the project. Progress reports and meeting minutes form an
integral part of the project management plan.
The principal investigator will ensure that resources are made available to deliver the project scope on time
and within the budget assigned to the project.
The project management plan is a living document and will be updated on a regular basis. As part of the
project management plan, a risk management plan will be established and maintained throughout this
project that is consistent with best practice (APM, 2004). The risk management plan consists of a risk
register, a risk analysis & assessment procedures and risk mitigation strategies for every risk identified. The
purpose of the Risk Management Plan is to evaluate, monitor and manage project risks.
The proposed project is applied research therefore its risk is related to the execution of the research plan
and not the outcome of the research. However, the delivery of a meaningful outcome is desirable and should
be considered with as part of the risk management plan. Risk Analysis, Planning, Monitoring and Control
will be handled by the Principal Investigator / Project Manager.
The preliminary risk assessment procedure has identified the following risks:
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VII. IMPLEMENTATION PLAN
Risk Area
Potential Risk
Project Scope and
Complexity

Undefined or unclear project scope: This proposals sets out very specific project
deliverables and may require refinements as new information and knowledge becomes
available

Scope changes need to be thoroughly investigated to determine impact on budget and
timely delivery

Scope creep needs to be avoided and supported with continuous documentation of any
developments of the project.
Project team
commitment and
staff changes

Staff turnover is a concern for the continuity of every project; this risk will be managed
by having a thorough procedure in place for documenting and recording project
deliverables to enable new project team members to continue ongoing project work
Stakeholder
commitment

Institutional commitment to this project from external stakeholders including
Government Authorities is required to deliver a successful project outcome. This
project involves the Committee of Water Resources and Garysh Sapary who have
contributed to the development of this proposal and support this project with in-kind
contributions.
Execution Processes

Errors or misinterpretation in collection of local data is a risk that has to be monitored;
the quality assurance procedures will include a review of data / information
acquisition and their use in this study.

Lack of proper procedures for quality assurance will be mitigated with periodic quality
assurance reviews that are documented in line with Quality procedures developed for
the School of Engineering

Potential for external stakeholder resistance due to cultural and customary practices
will be monitored and partially mitigated by using local staff in the project execution
and stakeholder liaison.
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VII. IMPLEMENTATION PLAN
The following table describes the responsibilities of the team members with respect to identifying and
managing risks
Team Member
Responsibilities
Individual Members

Identify new risks

Estimate probability of risk and impact

Recommend action

Collect all risk information from individuals

Ensure accuracy of probability, impact and time frame

Build the Risk Register

Classify risk
Project Manager
Deliverable: Project Management Plan, Communication Plan, Risk Management Plan
Work package 2 (WP2): Technology review
A comprehensive technology review will be conducted to ensure that the project team is familiar with state
of the art in water resource management, knowledge management and software development as it relates to
the use of high resolution remote sensing data in monitoring and assessing water resources.
Deliverable: Interim Report, two conference and / or Journal papers
Work package 3 (WP3): High resolution Remote Sensing Technology
This work package will procure high resolution remote sensing data to develop advanced algorithms to
assess and monitor water resources for river basin water resource management.
The scope of this work package includes the development and application of algorithms to assess and
monitor the hydrology of lakes, rivers and reservoirs. The scope of this work package includes the
-Creating and updating the inventory of water resources
-Creating and updating the inventory of water bodies
-River basins mapping and waterline identification
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VII. IMPLEMENTATION PLAN
-Detection of intermittent streams (stream flow and hollows)
-Mapping of lakes and reservoirs and their major components (edge, coastal slope, coast, coastal shallows)
-Determining the type of lake water cycle in nature (waste, closed drainage, flow, temporary waste, etc.)
-Separation Lakes mineralization at relatively fresh and salty
-Identify the elements of the structure of floodplains of major rivers (bends, meanders, furca, oxbow lakes,
etc.)
-Detection and typing of large fluvial forms and their elements (ridge, rolls, reaches, backwaters, etc.)
-Identifying the structure of young floodplain formations (islands, shoals, braids, blind area, bichevniki, etc.)
-Identification of area of river flooding during flooding, and flood forecasting
-Delimitation of the flooded areas during floods and a preliminary assessment of the impact of floods
-Detection of unauthorized building in floodplains
In the initial pilot study, the application and development of algorithms will be tested on imagery obtained
for the Ishim River basin. The study will seek to identify the structure of floodplains of the river and the area
of area of river flooding for subsequent flood forecasting. The study will be complemented by field data from
existing monitoring control station to determine the correlation between imagery and field data. Field
observation will include Temperature, precipitation, river flow, flow velocity at defined river cross sections.
In the full study, the application and development of algorithms to assess and monitor water resources will
be incorporated into an integrated Geographic Water Resources Management System using a GIS software
platform (Work Package 4) with a Digital Elevation Modeling and satellite image referencing.
Architecture of framework (GIS, Near Real-time integration)
The algorithms will be embedded into a software script to integrate real-time monitoring and control into a
software platform used to manage water resources and their controlling infrastructure. These image
processing algorithms are applied process images and will synthesis any monitoring data for their
presentation in tables, plots, or other graphical displays for standard computer as well as mobile phones
and tablets.
Deliverable: Prototype for water resources monitoring station, Stakeholder workshop, Interim Report, one
conference and / or Journal paper
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VII. IMPLEMENTATION PLAN
Work package 4 (WP4): Knowledge Management
The objective of this Work package is to identify information requirements for managing water resource and
developing a prototype software platform that contains all relevant information required for water
resources decision making and management.
A conceptual water resources knowledge management framework has been developed to enquire and
collect relevant information needs for water resources management and decision making. The framework is
an extension to the one designed by (Dalcanale, Fontane & Csapo 2011).The conceptual water resources
knowledge management framework is currently in development as part of the Nazarbayev University seed
grant programme and was developed to include nine (9) distinct but interrelated components consisting of:
Water resources knowledge management framework
Water Resource Strategy and Policy
Stakeholder Management
Ownership, Responsibility, Authority and Resources
Inventory of the water resource and its infrastructure
Condition and Performance of a water resource and its infrastructure
Valuations and Financial Review
Monitoring, Control and Knowledge Management
Internal Process Development and Review
Risk Assessment, Management, and Emergency Response
The testing and further refinement of knowledge management platform will be conducted by inviting asset
management experts, professionals and professional organizations and institutions to participate in
workshops, interviews and surveys. These will be carried out to develop a comprehensive understanding of
asset management decision making and management processes as well as information and data needs, in
particular relating to
Stakeholder Management
Page 5
VII. IMPLEMENTATION PLAN
- Develop and maintain a stakeholder network with relevant government organizations involved in water
resource management
Ownership, Responsibility, Authority and Resources
- Develop an understanding of the governance structure for a water resource river basin including
ownership, responsibility, authority for decision making and decision making resources
Inventory of the water resources and its monitoring and control infrastructure
- inventory key attributes of water resources and their monitoring and control infrastructure
Risk Assessment, Management, and Emergency Response
- document risk assessments and risk management systems as well as processes and procedures for
responses to emergencies (floods, draughts, structural failures, etc)
It is anticipated to engage with experts, professionals and professional institutions with relevant experience
in water resources management and the management of water resources assets and infrastructure. They
may include
Name
Type
Country
Water Services Regulation Authority
Economic Regulator
England
United Utilities plc
Water Utility with Water Resources
Management mandate
England
Yorkshire Water
Water Utility with Water Resources
Management mandate
England
Environment Agency
Environmental Regulator
England
Delft University Faculty of Technology, Policy and
Management
University
Netherlands
Cranfield University, School of Sciences
University
UK
Asset Management BC
Professional Association
Canada
National Water Commission
Government
Australia
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VII. IMPLEMENTATION PLAN
Name
Type
Country
Opus International Consultants
Asset management consultants
Canada
Associated Engineering
Asset management consultants
Canada
Local Government Asset Management
Association of Communities
Australia
SA Water
Water Utility with Water Resources
Management mandate
Australia
Melbourne Water
Water Utility with Water Resources
Management mandate
Australia
Sydney Water
Water Utility with Water Resources
Management mandate
Australia
It is anticipated that the prototype consists of a comprehensive information system based on a Geoinformation systems that incorporates remote sensing and technologies and telecommunication systems for
the monitoring and control of water resources in a river basin and integrates the algorithms to assess and
monitor water resources developed in the previous work package.
Deliverable: Prototype for a knowledge management platform including a Digital Elevation Model, Bathymetry
models, Inventory of water resources using remote sensing application, Stakeholder workshop, Interim Report,
one conference and / or Journal paper
Work Package 5 (WP 5): Final Report & Dissemination of Results
In this work package a synthesis of work packages 3 to 5 will be delivered to describe a comprehensive
water resource knowledge management system. The final report describing all deliverables will be compiled
and disseminated to all stakeholders. Technical developments will be thoroughly documented with
specifications and drawings. Any technical developments eligible of patents will be registered with the
Patent office of Kazakhstan and the European Union.
During the various phases of the project, the project team will disseminate outcomes to all stakeholders and
make suggestions for further use and implementation of the results of the project on a national level. At
least four papers for publication in a reputable international journal will be submitted.
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VII. IMPLEMENTATION PLAN
Deliverable: Final Report, one conference and / or Journal papers, Project completion meeting with
stakeholders, Public forum at Nazarbayev University
Project Deliverables and Milestones
Miles
tone
No
Milestone name
WP No.
Dissemination
level1
Means of
verification 2
Delivery
month
M1
Project management Plan
1
RE
PEP
2
M2
Literature Review
2
PU
IR, JP
8
M3
High resolution Remote Sensing Technology
3
RE
IR JP
29
M4
Knowledge Management
4
RE
IR JP
29
M5a
Final Report
6a
RE
FR
36
M5b
Dissemination of Results
6b
PU
JP
36
1 Public
(PU), Restricted to a specified group (RE), Confidential, only for members of the consortium (CO)
2 Project
Page 8
Execution Plan (PEP), Interim Report (IR), Journal paper (JP), Final Report (FR)
VIII. YOUR BIOGRAPHY
VIII. Your Biography
o Describe how you are committed to your idea.
o Describe your experience in relation to your idea, including a list of your skills and
knowledge which will be required to implement your idea. What makes you capable of
making your project successful?
o Describe yourself, including your educational background.
IX. Any additional information you want to provide.
As a resident of an area which frequently is exposed to flooding, I am personally motivated and strongly
committed to this initiative. Despite my young age, I have a good track record of delivering tasks and
projects. I am a fast learner and extremely motivated individual who pays attention to details.
Dina Kaskina is a project manager and young entrepreneur. She received her Master of Science degree in
Environmental Science and Technology at Lancaster University (UK) in 2013. She has a Bachelor degree in
Geography with Distinction earned at Academician Y.A. Buketov Karaganda State University in 2011. Also,
she is a Recipient of the International Bolashak Scholarship of the President of the Republic of Kazakhstan.
Currently, Dina works as a Teaching Assistant at Nazarbayev University.
The project is supported by Prof. Dr. Roland A Bradshaw and Prof Dr. Shamshagul Mashtayeva who will
provide technical advisory services.
Prof. Dr. Roland A Bradshaw earned his Doctorate in Engineering at Cranfield University (UK) in 2008. His
Master of Sciences in Water Resource Technology and Management was earned at The University of
Birmingham (UK) in 2001. Prior to that, he completed his undergraduate studies in Environmental
Engineering in 2000 earning a German Engineer Diploma with distinction. Bradshaw has more than 12
years of experience encompassing research, design and construction as well as consultancy assignments
specializing in asset risk assessments for municipal infrastructure, including roads, bridges, water supply
systems, wastewater collection systems and water and wastewater treatment plants. Dr. Bradshaw has a
strong research interest in sustainable infrastructure management as well as risk management specific to
water and environmental engineering. Roland Bradshaw works for MAYIM WHITE WATER PARTNERSHIP
and is also a Professor of Environmental Engineering at Nazarbayev University.
Prof Dr. Shamshagul Mashtayeva earned her PhD in Geography based on her investigation of the HydroEcological sustainability of the Lower Syrdarya River and the Small Aral. She also holds Master in Hydrology.
Both degrees were earned at the al-Farabi Kazakh National University, Almaty. She currently holds the
Page 9
VIII. YOUR BIOGRAPHY
position of Associated Professor in Hydrology and Environmental Water Recourses, Integrated Water
Resources and Management.
Dr. Alex James Nazarbayev University (NU) – Co-Principal Investigator (Remote sensing algorithm
development / Knowledge Management Software)He has obtained his doctoral degree from Griffith
University, completing in short 2 year duration, and was funded through international Australian Research
Council fellowship. He was associated as a researcher with Griffith University, IIIT, UC Berkeley, HCL, Intel
and QsSemi. He has over 13 years of experience in industry and academia with developing memristive
computing, neural computing and learning systems, large data decision fusion systems, brain inspired logic
design and cognitive algorithms. He is an adjunct professor at IIIT and CEO of the startup Enview R&D Labs
LLP. He was one of the recipients of IEEE International Outreach funding from IEEE Circuits and Systems
Society in 2012 and was awarded top reviewer of Pattern recognition letters. He has grants for research in
applied machine intelligence and neural computing (2011-2013), biometric internet of things (2013-2014),
Indian Language Corpra Initiative (ILCI) Phase 2 Department of Info. Technology, Govt. of India 2012-2013,
virtual resource center for language computing Govt. of Kerala, 2011-2013. He is a Senior Member of IEEE.
Dr. Yau Hee Kho Nazarbayev University (NU) – Co-Principal Investigator (Remote sensing signal /image
processing).
Page 10
CONTACT INFORMATION
Contact Information
Dina Kaskina
dina.kaskina@nu.edu.kz
Nazarbayev University
School of Engineering,
Dept. of Civil Engineering,
53 Kabanbay batyr ave., Astana, 010000, Republic of Kazakhstan
Tel +7 (705) 912 75 90
Tel +7 (7172) 709135
Tel +7 (7172) 709123
Tel +7 (7172) 709142
Page 11
APPENDIX: RELATED PEER-REVIEWED PUBLICATION
Appendix: Related peer-reviewed publication
Accepted for publication in IEEE
Page 12
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