International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
Some of the information, e.g. geographical, ecological, legal,
containment, and clean-up equipment, and environmental
sensor locations, can be acquired and organized in advance,
typically through a GIS. Other types of information, e.g. winds,
waves, currents, vessels traffic, and fishing fleet operations.
must be dealt with in real time (Douligeris et al. 1995).
Decision Support System (DSS) serves a central role in all
aspects of tactical operations. We tried to gather traditional
methods of DSS, GIS, database systems and interface shells, to
make a more intelligent Decision Support System which can
help the environmental engineer to identify the optimal
alternatives for pollution prevention and cleanup method
selection processes and thereby help to reduce the costs for
cleaning practices.
Considering the proposed contingency plan scheme in this
project illustrates Decision Support System constitutes the
central nucleon of this plan, which receives all information
from different groups of contingency team. Decision Support
System provides an easily understandable assistance for non-
technical decision makers to be able to find the best managing
method in shorter time.
3. METHODOLOGY
Comparing other various DSS models and studies indicates that
most of them classify the user duties under these categories:
defining the present condition of environment, identifying the
conflicts or problems that environment face to them, and
introducing the alternative solutions. According to this
classification, the duty of DSS of oil spill management project
also was considered as shown in figure |. It shows the general,
simple idea suggested for in hand project of oil spill
management (Pourvakhshouri & Mansor, 2003) and figure 2
displays the more developed design for it.
Coastal Data AD
& Information
Spill situation
Solution
(Control method)
Figure |: Three main domains of the oil spill
management Decision Support System
The coastal information, as shown in figure 2, were divided
three major parts of physical, biological and human use
resources that was stored in system. Other stored information
includes the required equipments, the maintenance ports/
agencies and access ways as well as explanatory documents
like national regulations, criteria, exploitation sites.
transportation routes, etc. Some part of data must enter the
system as real time such as wind, current, oil spillage point, etc.
276
through the interface. A part also was considered for validation
of system by sample scenarios and historical cases.
If the system is described simply, it can establish a linkage
between spilled oil characteristics and location, shoreline
sensitivity, and the different clean-up methods. Significant
types of information are extracted through knowledge-based
archive. And most linkages are based on expert system
engineering methods like if-based rules, and backward/forward
chaining.
Knowledge engineering for constructing the decision support
system on oll spill management involves three stages:
knowledge acquisition, conceptual design, and system
implementation. In the knowledge acquisition phase the objects
and decision processes were clarified and determined. In the
conceptual design stage, the knowledge was formalized and
represented with various representation methods. Then the
formalized knowledge was represented in production rules in
the knowledge base of the system.
Regarding to the project's proposed aims, some criteria such as:
- availability of more data with manageable volume, having the
environmental sensitivity in both natural and human activity
form, and expose to oil related activities with pollution
occurrence history, were considered for choosing the primary
study area. Pilot study area has been selected at south east of
the Straits of Malacca, from Port Dickson to Pontian Kechil
Johor Baru (Fig. 3).
Figure 3: Pilot studv area
4. RESULTS AND DISCUSSION
Categorizing of important factors in shoreline area sensitivity
was done through questionnaires and interviews among
governmental and private sectors as well as public who are
involving in coastal activities. Shoreline area was divided to
three parts of major, medium and less in danger parts according
to different factors like human economic disruption, wild life
mortality, habitat availability, aesthetic degradation, etc.
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