8 Ship Crash Prevention Toward Oil Spill Incidents
75
bridge observation, maintenance schedules, and officer’s exhaustion [29]. Nevertheless, the element of the ship design is the second element to be the focus after the ship
operations in avoiding the ship from the crash which leads to the oil spill incidents.
Thus, the objective of this research has been accomplished.
Acknowledgements This research is done by the association added from the related Port staff. This
research is monetarily validated by the Universiti Kuala Lumpur Malaysian Institute of Marine Engineering Technology (UniKL MIMET). Thank you to the team member Shahlin Johan, Aminuddin
Md Arof, Mohd Redzuan Zoolfakar, and other parties involved in this research.
References
1. Fairoz, R.: Perkongsian Maklumat Dengan Pihak Jabatan Alam Sekitar, Jabatan Laut Malaysia
(2019)
2. Mustafa, M., Ariffin, M.: Protection of marine biodiversity from pollution: legal strategies in
Malaysia. Int. J. Biosci. Biochem. Bioinform. 1(4), 276 (2011)
3. Norazaimah, A.: Statistic Oil Spill. Department of Environment (DOE), Putrajaya (2019)
4. Speth, J.G.: Environ Pollut: A Long-Term Perspective (1988)
5. Solberg, A.H.S.: Remote sensing of ocean oil-spill pollution. Proc. IEEE 100(10), 2931–2945
(2012). https://doi.org/10.1109/JPROC.2012.2196250
6. Khan, S.I.: Dumping of solid waste: a threat to environment. Retrieved 9(21), 2010 (2004)
7. Chang, S.E., Ston, J., Demes, K., Piscitelli, M.: Synthesis, part of a special feature on vulnerability and adaptation to oil spills consequences of oil spills: a review and framework for
informing planning. Ecol. Soc. 19(2), 26 (2014). https://www.ecologyandsociety.org/vol19/
iss2/art26/
8. Babawale, G.K.: Emerging issues in compensation valuation for oil spillage in the Niger Delta
Area of Nigeria. J. Rev. Global. Econ. 2(2), 31–45 (2013). http://www.lifescienceglobal.com/
independent-journals/journal-of-reviews-on-global-economics
9. Zoveidavianpoor, M., Shadizadeh, S.R.: A huge oil spill naturally under control in Abadan
refinery. SPE Oil and Gas India Conference and Exhibition OGIC, 1 (2010). https://doi.org/
10.2118/128373-MS
10. Liu, W.Y., Chen, C.H., Chen, W.T., Shu, C.M.: A study of caprolactam storage tank accident
through root cause analysis with a computational approach. J. Loss Prev. Process Ind. 50, 80–90
(2017). https://doi.org/10.1016/j.jlp.2017.09.004
11. Mishra, K.B.: CFD model for large hazardous dense cloud spread predictions, with particular
reference to Bhopal disaster. Atmos. Environ. 117, 74–91 (2015). https://doi.org/10.1016/j.atm
osenv.2015.06.038
12. Theophilus, S.C., Esenowo, V.N., Arewa, A.O., Ifelebuegu, A.O., Nnadi, E.O., Mbanaso, F.U.:
Human factors analysis and classification system for the oil and gas industry (HFACS-OGI).
Reliab. Eng. Syst. Saf. 167(2017), 168–176 (2017). https://doi.org/10.1016/j.ress.2017.05.036
13. Bakhtiari, R., Zangeneh, S., Bakhtiari Fotouh, M., Jamshidi, S.M., Shafer, A.: Fitness for
service assessment of a pressure vessel subjected to fire damage in a refinery unit. Eng. Fail.
Anal. 80, 444–452 (2017). https://doi.org/10.1016/j.engfailanal.2017.07.020
14. Haghighi, M., Taghdisi, M.H., Nadrian, H., Moghaddam, H.R., Mahmoodi, H., Alimohammadi, I.: Safety Culture Promotion Intervention Program (SCPIP) in an oil refinery factory: an
integrated application of Geller and Health Belief Models. Saf. Sci. 93, 76–85 (2017). https://
core.ac.uk/download/pdf/77235112.pdf
15. Kang, J., Zhang, J., Bai, Y.: Modeling, and evaluation of the oil-spill emergency response
capability based on linguistic variables. Mar. Pollut. Bull. 113(1–2), 293–301 (2016). https://
www.sciencedirect.com/science/article/abs/pii/S0025326X16307949
75
bridge observation, maintenance schedules, and officer’s exhaustion [29]. Nevertheless, the element of the ship design is the second element to be the focus after the ship
operations in avoiding the ship from the crash which leads to the oil spill incidents.
Thus, the objective of this research has been accomplished.
Acknowledgements This research is done by the association added from the related Port staff. This
research is monetarily validated by the Universiti Kuala Lumpur Malaysian Institute of Marine Engineering Technology (UniKL MIMET). Thank you to the team member Shahlin Johan, Aminuddin
Md Arof, Mohd Redzuan Zoolfakar, and other parties involved in this research.
References
1. Fairoz, R.: Perkongsian Maklumat Dengan Pihak Jabatan Alam Sekitar, Jabatan Laut Malaysia
(2019)
2. Mustafa, M., Ariffin, M.: Protection of marine biodiversity from pollution: legal strategies in
Malaysia. Int. J. Biosci. Biochem. Bioinform. 1(4), 276 (2011)
3. Norazaimah, A.: Statistic Oil Spill. Department of Environment (DOE), Putrajaya (2019)
4. Speth, J.G.: Environ Pollut: A Long-Term Perspective (1988)
5. Solberg, A.H.S.: Remote sensing of ocean oil-spill pollution. Proc. IEEE 100(10), 2931–2945
(2012). https://doi.org/10.1109/JPROC.2012.2196250
6. Khan, S.I.: Dumping of solid waste: a threat to environment. Retrieved 9(21), 2010 (2004)
7. Chang, S.E., Ston, J., Demes, K., Piscitelli, M.: Synthesis, part of a special feature on vulnerability and adaptation to oil spills consequences of oil spills: a review and framework for
informing planning. Ecol. Soc. 19(2), 26 (2014). https://www.ecologyandsociety.org/vol19/
iss2/art26/
8. Babawale, G.K.: Emerging issues in compensation valuation for oil spillage in the Niger Delta
Area of Nigeria. J. Rev. Global. Econ. 2(2), 31–45 (2013). http://www.lifescienceglobal.com/
independent-journals/journal-of-reviews-on-global-economics
9. Zoveidavianpoor, M., Shadizadeh, S.R.: A huge oil spill naturally under control in Abadan
refinery. SPE Oil and Gas India Conference and Exhibition OGIC, 1 (2010). https://doi.org/
10.2118/128373-MS
10. Liu, W.Y., Chen, C.H., Chen, W.T., Shu, C.M.: A study of caprolactam storage tank accident
through root cause analysis with a computational approach. J. Loss Prev. Process Ind. 50, 80–90
(2017). https://doi.org/10.1016/j.jlp.2017.09.004
11. Mishra, K.B.: CFD model for large hazardous dense cloud spread predictions, with particular
reference to Bhopal disaster. Atmos. Environ. 117, 74–91 (2015). https://doi.org/10.1016/j.atm
osenv.2015.06.038
12. Theophilus, S.C., Esenowo, V.N., Arewa, A.O., Ifelebuegu, A.O., Nnadi, E.O., Mbanaso, F.U.:
Human factors analysis and classification system for the oil and gas industry (HFACS-OGI).
Reliab. Eng. Syst. Saf. 167(2017), 168–176 (2017). https://doi.org/10.1016/j.ress.2017.05.036
13. Bakhtiari, R., Zangeneh, S., Bakhtiari Fotouh, M., Jamshidi, S.M., Shafer, A.: Fitness for
service assessment of a pressure vessel subjected to fire damage in a refinery unit. Eng. Fail.
Anal. 80, 444–452 (2017). https://doi.org/10.1016/j.engfailanal.2017.07.020
14. Haghighi, M., Taghdisi, M.H., Nadrian, H., Moghaddam, H.R., Mahmoodi, H., Alimohammadi, I.: Safety Culture Promotion Intervention Program (SCPIP) in an oil refinery factory: an
integrated application of Geller and Health Belief Models. Saf. Sci. 93, 76–85 (2017). https://
core.ac.uk/download/pdf/77235112.pdf
15. Kang, J., Zhang, J., Bai, Y.: Modeling, and evaluation of the oil-spill emergency response
capability based on linguistic variables. Mar. Pollut. Bull. 113(1–2), 293–301 (2016). https://
www.sciencedirect.com/science/article/abs/pii/S0025326X16307949