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N-HyDAA - Big Data Analytics for Malaysia Climate Change Knowledge Management

8 pagesPublished: September 20, 2018

Abstract

With the changing climate, the prognosis is that weather extremes such as floods, drought and EL Nino are likely to increase in frequency and intensity can expand billions of economic losses and effect human lives. NAHRIM Hydroclimate Data Analysis Accelerator (N-HyDAA), known as Malaysia Climate Change (CC) Knowledge Portal, the only CC knowledge portal in Malaysia primarily developed for providing CC and water-related data, information, knowledge and technologywhich is crucial for present and future water related bussines activities, engineering practices and environment. It has eight hydroclimate-environment modules, which amongst others are rainfall, floods, droughts and water stress condition using Big Data Analytics (BDA) technology by means of comprehensive analysis and interactive visualization tools. N-HyDAA is able to trace, detect, identify and visualise future water issues associated with the adverse impacts of climate change in Malaysia. N-HyDAA assist business entities, water operators, engineers, planners and decision-makers in designing, planning and developing water related program and risk management in combating climate change impact either mitigation or adaptation actions.

Keyphrases: Big Data Analytics, climate change, data management, Knowledge Management

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 10--17

Links:
BibTeX entry
@inproceedings{HIC2018:N_HyDAA__Big_Data,
  author    = {Mohammad Fikry Abdullah and Mohd Zaki Mat Amin and Mohd Fauzi Mohamad and Marini Mohamad Ideris and Zurina Zainol and Nik Yusaimi Yussof},
  title     = {N-HyDAA - Big Data Analytics for Malaysia Climate Change Knowledge Management},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {10--17},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/LTfd},
  doi       = {10.29007/5b3v}}
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