Motivation
In the 16th century, Francis Bacon, writer, philosopher, scientist, and statesman
was quoted saying “nature is often hidden, sometimes overcome, seldom extinguished”.
Through his scientific work, Bacon asserted that nature should not be forecast,
rather interpreted. He was also a supporter of the law of cause and effect and placed
emphasis in the significance of trial by error.
Natural disasters have been occurring all over our planet since the beginning of
time. The geographics of these disasters imply that the most severe effects occur
in proportion to areas of increased human and economic development. It is disillusional
to insist that these disasters are just coincidental and to ignore the potential
for increased instances. Thus, the evident task for the modern world is to systematically
minimize the consequences of larger events by thoroughly investigating smaller,
local incidences and actively applying knowledge gained through research. In order
to implement this approach, it is detremental that relevant information be obtained
in a timely manner and used as a tool for discovering optimal solutions and forecasting
potential disasters.
Though we may not be able to “control the winds and rains” yet, twenty-first century
technology does enable us to utilize relevant data from recent events, improving
our ability to recognize significant patterns in the earth’s behaviour. These patterns
may be analyzed by both professionals and non-professionals in the field, as well
as by various levels of public safety administrations, and may reveal solutions
for dealing with future disasters. The goal is to limit the unfavorable influences
of natural disasters and their consequences.
Motivation and Realization
Using modern computer and internet technology to create a model prototype to simulate
real natural disasters is essential in executing this project.
During the first phase, we have chosen repetitious natural disasters, whose timely
forecast may have saved on damages leading to costly repairs. Our system, FLOREON
(FLOods REcognition on the Net), was created to be operated by both expert and lay
internet users as a medium in simulating and forecasting flood situations.
Research and Development carried out in the field of simulated flooding has proven
the FLOREON system to be a benficial contribution, as well as an essential tool
in the advanced development of flood simulation. FLOREON will progressively influence
simulated models and forecast floods based on its pilot model, “Stonavka river basin
floods the entire Moravia-Silesian Region”, which will also act as a tool for observing
social issues such as air quality and traffic.
The end product of this project shall be a system that provides simulated results
of various situations online and presents both their current and historical developments.
These results will then become accessible to a wide range of interested parties,
e.g., crisis workers, townships, owners of private and commercial properties and
etc... In the event of a crisis, these users will be provided simulated results
via our advanced visualization methods. These methods will provide extremely valuable
data to aid in the decision-making process for the most effective solutions during
crisis situations. Likeness and timely accessibilty to information are the keys
to the system’s success. Information relevant to crisis situations, be it current
data or a processed simulation and prognosis, is requisite to users who depend on
data from various communication channels. This information also needs to be illustrated
wherever and whenever, on any type of equipment available, be it at crisis centres
with the most advanced facilities, or in the field, where the only form of communication
might be a mobile phone. Our system will be able to provide requisite information
to all these channels in a way that ensures all users receive the most comprehensive
and complete information available.
One of the main tasks to be fulfilled by our system is its ability to act as a mediator
while providing useful and understandable information to all users. This task must
be approached in a way that ensures that those in need of information, be it a civilian,
town mayor responsible for crises, or expert in a given field, are all able to obtain
the maximum amount of information to adequately understand and evaluate the situation
prior to making a decision about its solution. In order to fulfil the task of illustrating
information of this character to various groups of users, information such as “this
area will be flooded by a two-metre high wave”, must be appropriately filtered and
expertly dispatched.
The system is not, nor will it be, a sytem for providing one dimensional simulator-user
information. It is intended as an integral tool for enabling expert evaluations,
for validating and mediating interested parties. Additionally, it should act as
a provider of current information while gathering feedback from all users, including
non-professionals in the field (i.e. announcing current water levels at a given
location), in a joint effort to, be it actively or passively, contribute to dealing
with a crisis situation or to propose methods for addressing these situations.
The functions of this system in highest demand are its ability to deliver precise
and understandable graphic and textual information to all parties participating
in providing solutions, to aid in foreseeing and preventing crisis situations, and
to satisfy the need to know current or simulated developments of a given problem.
Additional demands stemming from the main goal of this project include the necessity
for an open, modular, architectural system. In other words, the system should be
able to utilize results from other models, supplement alternative modules and models,
substitute for inaccessible models, and provide future comparisons of results from
other models.
Innovational Contribution
The end result of our system will act as a portal for modeling, simulating and monitoring
floods, traffic and the growing pollution problem in the Moravia-Silesian Region.
Further expansion for system functions will be designed to include progressive development
for applications in other regions of the Czech Republic and abroad.
The project is designed to include innovational contributions in the following areas:
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Improved support systems for regional crisis management
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Advanced warning system
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Regular situation assessments
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Modeling states of emergency (e.g. rising levels of flood waters, pollution, etc...
– from the perspective of prepared models and potential scenarios)
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Visualized crisis situations and predicted outcomes
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A uniform portal system for all crisis situations
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Development of mobile units for emergency vehicles serving as a terminal station
and/or as a central point for connecting to workers in the field
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Mobile applications enabling quick orientation in the field and timely feedback
for emergency workers
A complete system managenent based on one modular system will be
gradually expanded upon for modelling, simulating and monitoring floods. This sturdy
modular system is able to carry out a wider range of tasks; its stability lies within
its limited dependance on a chosen methodology. The system is built with an “open
mind” and allows for the integration of other situations and problems. Within the
realm of this expansion, methodological approaches and processes will also be created
in order to assist with system upgrades.
To a large extent, independant of other platforms and software
and with the system’s expansion, it will possible to observe various technical parametres
and calculations. Independence from secondary platforms enables unlimited upgrades
based on current needs and significantly cuts costs on operational goods and software.
Defined interface for exchanging data for supporting the modular
system itself, as well as for research-based solutions tying into similar tasks
and projects.
Building a knowledge-based system significantly cuts user costs.
Utilizing GIS and database systems allows for the creation of a knowledge-based
system on the pretence of high-risk situations and enables the application of findings
in situations where limited data is available. Additionally, any uncertainties concerning
modelling and/or statistics will gradually be eliminated.
Solution Process
Modeling, simulating and monitoring crisis situations caused by natural disasters
will produce an end product that will serve as a prototype for modelling and simulating
situations caused by natural disasters using modern internet technology.
The project goal is to utilize current, technological methods to recognize situations
and provide support in the decision-making process in an effort to limit the negative
influences of natural disasters and/or consequences of anthropogenic activity.
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The project mainly focuses on building a support system to assist in the decision-making
process for affected regional waterways, monitoring air quality levels and traffic
situations.
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The FLOREON project intergrates and utilizes the most advanced approaches and solutions
in the field of IT and hydrology.
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Project FLOREON is an integrated tool for model development.
Architecture
As with all information systems created to interact with users, FLOREON must also
establish clearly defined technical parametres specifying communication protocol
for a given group of system users, sequences of individual events, communication
methods for modules, initiatives and etc... The introductory phase of the project
is described as follows:
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a simplified user-system communication for acquiring current flood updates as well
as analytical flood records from the past and in the future
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to coordination calculations of new meteorological data entries in cases where records
of simualtions are run automatically and updated system results are saved
For these two parametres, as well as for many other essential and supportive paramtres
already defined and those yet to be defined, it was necessary to propose a base
architectural system to comply with all the forseeable demands placed on such an
extensive and unique system.
The architecture designed for this system has been adequately generalized to comply
with general parametres and to enable future upgrades. Furthermore, the system’s
architecture allows for the utilization and exchange of randomely accessible technology
that may be used either commercially or as an open source.
A hierarchy model was used in the architecture of this system. For general purposes,
the system was built from several smaller, more basic models that may be upgraded
or substituted with alternate models. As for the system’s hierarchy, each indivdual
model may be built using other models while maintaining its easy upgrade and/or
substituting properties for alternate solutions whenever necessary.
The given model, and its sub-models, must be able to communicate in some way. In
order for the system to maintain its independence, implementation-independent technology
is requisite. Currently, the most appropriate solution appears to be the internet.
We have chosen the internet for its simplicity concerning the connection of models
to sub-models, for its easy compatibility and its standardized format of communication.
Thanks to these properties, the system is able to remain very flexible, distributable
and implemental – it is absolutely independent.
FLOREON’s architecture may be viewed from several angles, starting with its distribution
among individual internet services and the level of communication within the system.
Here we can see a set of basic models at the highest level of the hierarchy: a module
for storing data (Warehouse), a module for mathematical calculations (FloodMathematic
– implemented here mathematically, but also used as an existing application), a
module for calculating model statistics (Postprocessing), a module for importing
GIS data (Geograph), and/or a module for importing meteorological data. The main
module of the system that defines and manages individual parametres in FLOREON is
the core module (Coordinator). This module also acts as an interface for system
access for both other systems and users (e.g. to help an internet client).
Data storage takes place at the lowest level of the system hiearchy. An extended
version of PostgreSQL database (PostGIS) is used for working with vector data and
storing Microsoft SQL Server relational data. In addition, we have implemented our
own database warehouse for screening data. Another integral part of the databse
are indexes; one for working with data in the area of automobile traffic and one
that saves processed data for generating 3D graphics. The remaining system levels
are modules for calculating air quality, traffic situations and etc... The system
core is managed by a level directly connected to the data level; programs and applications
that communicate with users or other sytems are directly above this level. Modules
for backing up data, monitoring, and user maintenance are also integrated into the
system. A fundamental aspect of the system, the calculation module, predicts river
flows (Flood Models and Pollution modules). The difficulty level of this type of
simulation increases rapidly in comparison to more precise numerical models or models
that naturally deal with more instances of entry data uncertainty. Computational
clusters are used to accelerate and more precisely simulate these calculations.
The aim here is to initialize more instances of specialized applications for calculating
flow volume concurrently with several computational node clusters. These flow volume
calculations correspond to various user demands and/or randomly generated entry
values. This is a third party application for both commercial and non-commercial
interests, as well as for actual applications or specially created numeric models
calculated with Mathworks MATLAB.