Tracing Data Flow Diagram for a Flood Early Warning System (FEWS) in Malaysia Using Prescriptive Big Data Analytics

Authors

  • Aziyati Yusoff College of Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
  • Salman Yussof College of Computer Science and Information Technology, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
  • Norashidah Md Din College of Graduate Studies, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia

Keywords:

big data analytics, data flow diagram, knowledge management, prescriptive big data, smart engine.

Abstract

With the advent of big data era, it is commendable if this facility could also be a method of problem solving to the environmental issues, disaster management, and geographical sciences. In this research, the study of flood events particularly in Malaysia is using the approach of prescriptive big data analytics. The big data of flood events which is managed by more than one authorizing agencies in Malaysia is proposed to be tackled by designing a feasible smart engine that is able to integrate most data forms and sets that are available from the participating agencies. The critical part of this research is to conform the practicality of integrating those big data into a structured data management so that it is traceable and able to return the desired results. This article is deliberating on the possibilities of tracing the big data of flood events which has undergone the process of rigorous prescriptive data analytics and knowledge engineering to return the searched results.

References

Wing, Chia Chong. "Managing flood problems in Malaysia." Buletin Ingeniur (1971).

Adnan, Nor Aizam, and Peter M. Atkinson. "Exploring the impact of climate and land use changes on streamflow trends in a monsoon catchment." International journal of climatology 31, no. 6 (2011): 815-831.

Global Disaster Alert and Coordination System, URL: http://www.gdacs.org/.

Yusoff, Aziyati, MdDin, Norashidah, Yussof, Salman, and Khan, Samee Ullah, “The Semantic Network of Flood Hydrological Data for Kelantan, Malaysia”, In IOP Conference Series: Earth and Environmental Science (Vol. 32, No. 1, p. 012021), 2016, IOP Publishing.

Gartner Hughlights Five Attributes of Cloud Computing, URL: “http://www.gartner.com/newsroom/id/1035013”, 2014.

Public InfoBanjir, JPS Malaysia. URL: “http://publicinfobanjir.water.gov.my/”, 1 October 2014.

NASA Earth Observatory, URL: “https://earthobservatory.nasa.gov/”, accessed on 1 September 2015.

Global Disaster Alert and Coordination System, URL: http://www.gdacs.org/, accessed on 1 September 2015.

Yusoff, Aziyati, Mustafa, Intan Shafinaz, Yussof, Salman and MdDin, Norashidah, “Green Cloud Platform for Flood Early Detection Warning System“, in The 5th IEEE National Symposium on Information Technology: Towards New Smart World, Riyadh, Kingdom of Saudi Arabia, February 2015.

National Oceanic and Atmospheric Administration (NOAA), US Department of Commerce, URL: “http://www.noaa.gov/”, accessed on 1 September 2016.

Department of Survey and Mapping Malaysia (JUPEM), URL: “http://www.jupem.gov.my/”, accessed on 1 September 2016.

NASA EOSDIS Worldview, URL: https://worldview.earthdata.nasa.gov/, accessed on 1 September 2015.

Malaysian Meteorological Department (Met), URL: “http://www.met.gov.my/”, accessed on 1 February 2016.

Disaster Portal, National Disaster Management Agency, Malaysia (NADMA), URL: “http://portalbencana.ndcc.gov.my/”, accessed 1 February 2016.

Public Works Department (JKR), URL: “http://www.jkr.gov.my/”, accessed 1 September 2016.

Department of Social Welfare Malaysia (JKM), URL: “http://www.jkm.gov.my/”, accessed 1 September 2016.

e-Banjir Kelantan Portal, URL: “http://ebanjir.kelantan.gov.my/”, accessed 1 February 2016.

McCarthy, James D., Phil A. Graniero, and Steven M. Rozic. "An integrated GIS-expert system framework for live hazard monitoring and detection." Sensors 8, no. 2 (2008): 830-846.

Krizhanovsky, Andrew, "Integration Of Ontology With Expert System: A Case Study",(2005).

Downloads

Published

2017-12-21

How to Cite

Yusoff, A., Yussof, S., & Md Din, N. (2017). Tracing Data Flow Diagram for a Flood Early Warning System (FEWS) in Malaysia Using Prescriptive Big Data Analytics. International Journal of Sciences: Basic and Applied Research (IJSBAR), 36(8), 192–199. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/8570

Issue

Section

Articles