The Semantic Network of Flood Hydrological Data for Kelantan, Malaysia

Aziyati Yusoff, Norashidah Md Din, Salman Yussof, Samee Ullah Khan

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Every year, authorities in Malaysia are putting efforts on disaster management mechanisms including the flood incidence that might hit the east coast of Peninsular Malaysia. This includes the state of Kelantan of which it was reported that flood is just a normal event occurred annually. However, the aftermath was always unmanageable and had left the state to struggle for its own recoveries. Though it was expected that flood occurred every year, among the worst were in 1967, 1974, 1982 and recently in December 2014. This study is proposing a semantic network as an approach to the method of utilising big data analytics in analysing the huge data from the state's flood reading stations. It is expected that by using current computing edge can also facilitate mitigating this particular disaster.

Original languageEnglish
Article number012021
JournalIOP Conference Series: Earth and Environmental Science
Volume32
Issue number1
DOIs
Publication statusPublished - 19 Apr 2016
Event2nd International Conference on Advances in Renewable Energy and Technologies, ICARET 2016 - Putrajaya, Malaysia
Duration: 23 Feb 201625 Feb 2016

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disaster management
disaster
coast
method
station

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

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abstract = "Every year, authorities in Malaysia are putting efforts on disaster management mechanisms including the flood incidence that might hit the east coast of Peninsular Malaysia. This includes the state of Kelantan of which it was reported that flood is just a normal event occurred annually. However, the aftermath was always unmanageable and had left the state to struggle for its own recoveries. Though it was expected that flood occurred every year, among the worst were in 1967, 1974, 1982 and recently in December 2014. This study is proposing a semantic network as an approach to the method of utilising big data analytics in analysing the huge data from the state's flood reading stations. It is expected that by using current computing edge can also facilitate mitigating this particular disaster.",
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The Semantic Network of Flood Hydrological Data for Kelantan, Malaysia. / Yusoff, Aziyati; Md Din, Norashidah; Yussof, Salman; Khan, Samee Ullah.

In: IOP Conference Series: Earth and Environmental Science, Vol. 32, No. 1, 012021, 19.04.2016.

Research output: Contribution to journalConference article

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