Author(s): Mohd Zaki Mat Amin, Mohammad Fikry Abdullah, Nurul Huda Md Adnan, Harlisa Zulkifli, Marini Mohamad Ideris, Zurina Zainol
Linked Author(s): Nurul Huda Md Adnan
Keywords: Big data, climate change, water disaster risk management, disaster risk reduction, decision making tools
Abstract: Climate change and variability together with non-climatic drivers have had physical impacts on the hydrological cycle, especially in the recent decades. Evolution in the hydroinformatics discipline, with incorporating rapidly expanding body of climate change information is indispensable particularly for sustainable water resources and risk management. As such, the growth of big data analytics technology have enabled stakeholders to quickly process and analyse huge volumes of climate change data and generate accurate insights, which subsequently would open up promising disaster resilience and risk reduction approaches. The National Hydraulic Research Institute of Malaysia (NAHRIM) has been applying big data analytics over 10 billion projected hydroclimate data for the Peninsular Malaysia, downscaled and generated at 6 km horizontal spatial resolution from 15 realisations based on the 4th Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC AR4). Big data technology elevated processing, analysis and visualisation of hydroclimate data that assist in mining and identifying the potential future water related extreme events and their magnitudes, such as extreme rainfalls, floods, storm centers and drought. The analytics system enabled NAHRIM to highlight predictive, scientific and data-driven evidence of climate change impacts on the hydrology of Peninsular Malaysia. Therefore, the analytics and functions of big data indubitably provide support in strategies and decision making process as well as strengthening related policy on water related disaster risk management, resilience and adaptation of climate change, such as National Policy on Climate Change and National Water Resources Policy
Year: 2017