scholarly journals DSS-OSM: An Integrated Decision Support System for Offshore Oil Spill Management

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 20
Author(s):  
Pu Li ◽  
Bing Chen ◽  
Shichun Zou ◽  
Zhenhua Lu ◽  
Zekun Zhang

The marine ecosystem, human health and social economy are always severely impacted once an offshore oil spill event has occurred. Thus, the management of oil spills is of importance but is difficult due to constraints from a number of dynamic and interactive processes under uncertain conditions. An integrated decision support system is significantly helpful for offshore oil spill management, but it is yet to be developed. Therefore, this study aims at developing an integrated decision support system for supporting offshore oil spill management (DSS-OSM). The DSS-OSM was developed with the integration of a Monte Carlo simulation, artificial neural network and simulation-optimization coupling approach to provide timely and effective decision support to offshore oil spill vulnerability analysis, response technology screening and response devices/equipment allocation. In addition, the uncertainties and their interactions were also analyzed throughout the modeling of the DSS-OSM. Finally, an offshore oil spill management case study was conducted on the south coast of Newfoundland, Canada, demonstrating the feasibility of the developed DSS-OSM.

Author(s):  
Abdul-Lateef Balogun ◽  
Abdul-Nasir Matori ◽  
Kelvin Wong Toh Kiak

Environmental resources face severe risks during offshore oil spill disasters and Geographic Information System (GIS) Environmental Sensitivity Index (ESI) maps are increasingly being used as response tools to minimize the huge impacts of these spills. However, ESI maps are generally unable to independently harmonize the diverse preferences of the multiple stakeholders’ involved in the response process, causing rancour and delay in response time. This paper’s Spatial Decision Support System (SDSS) utilizes the Analytic Hierarchy Process (AHP) model to perform tradeoffs in determining the most significant resources to be secured considering the limited resources and time available to perform the response operation. The AHP approach is used to aggregate the diverse preferences of the stakeholders and reach a consensus. These preferences, represented as priority weights, are incorporated in a GIS platform to generate Environmental sensitivity risk (ESR) maps. The ESR maps provide a common operational platform and consistent situational awareness for the multiple parties involved in the emergency response operation thereby minimizing discord among the response teams and saving the most valuable resources.


Author(s):  
عبدالفتاح سليمان المشاط وعبدالحميد محمد رجب وأحمد محمود خضرة عبدالفتاح سليمان المشاط وعبدالحميد محمد رجب وأحمد محمود خضرة

This paper proposes an effective decision support system based on an absorbing Markov model, which is used for helping decision makers in Faculty of Computing and Information Technology (FCIT) at King Abdul Aziz University (KAU) in controlling student’s flow transition enrollment. Several important controlling criteria that govern student’s flow performance during semesters are evaluated. These include estimating students flow between different study levels, the average life time a student spends at each level, the semesters required for graduation, and students graduating probability. A complete performance evaluation comparison between boys and girls at IT College is investigated. Results show that girls achieved better performance than boys. The system has several advantages, such as, helping to find any bottle necks to be solved during student’s transition study from one semester to another, and helping to know students needed facilities to planning for future required resources, hence achieving good quality and efficient university education. The proposed model is validated using cross-validation methodology, and the achieved results were acceptable


2016 ◽  
Author(s):  
Sahar Mokhtari ◽  
Jiri Kadlec

Oil spill in marine ecosystems have serious short term and long term effects on aquatics lifecycle and on social and economic activities. A Decision Support System (DSS) can assist environmental managers to visualize the distribution of oil pollution, identify sensitive areas that are likely to be exposed to oil pollutions, and assess vulnerable resources. This paper describes the design of an open source software framework and a prototype desktop software application of a DSS for oil spill management. This system can be connected to an open source oil spill simulation model. We also present a user interface for selecting the properties, time and location of a potential oil spill and for visualizing the oil spill affected area and its impact on coastal zone.


1995 ◽  
Vol 1995 (1) ◽  
pp. 905-906
Author(s):  
Carlos Villoria ◽  
Rosa Pérez

ABSTRACT In 1991, the Venezuelan oil industry, through INTEVEP, its research and development subsidiary, started a project to implement an oil spill decision support system (DEPET 4.0) for the Venezuelan national oil spill contingency plan. For this primary tool for taking spill response actions in operational drills and real emergencies, the industry developed a database of possible scenarios in predetermined sites and for natural resource damage assessment. The system covers the entire Venezuelan coastline, with each of five management zones serviced by a separate base map and data.


2003 ◽  
Vol 32 (2) ◽  
pp. 290-298 ◽  
Author(s):  
Iphigenia Keramitsoglou ◽  
Constantinos Cartalis ◽  
Pavlos Kassomenos

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