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Malaysia Water Research Journal<br />
(IADA BLS), Under the average of 14 scenarios, for example, the high WSI in Sabak<br />
Bernam, Selangor would affect the water supply sustainability at IADA BLS, while<br />
the extremely high WSI in Johor Bahru is associated with high water demand<br />
due to highly populated and rapid development that would undoubtedly bring<br />
challenge in supplying sufficient treated water to consumers.<br />
Figure 10. Water Stress Index (WSI) results for each scenario based on the<br />
districts for year 2030<br />
5 CONCLUSION<br />
Climate change studies by various agencies all around the world are in fact,<br />
applying the big data technology analytics in assessing and projecting climate<br />
variability in all its complexity and dynamic processes. Concurrently, the field of<br />
hydro-climate informatics, sciences and computational sustainability are rapidly<br />
growing and continuously changing. The uncertainties of future climate, its<br />
impacts to water resources and environment can be quickly processed, analysed<br />
and projected as key information in addressing and managing future waterrelated<br />
risks. Through data linkages, data mining and analysis, and predictive<br />
analytics, decision making processes are improved and thus can increase<br />
Institut Penyelidikan Hidraulik Kebangsaan Malaysia (NAHRIM)<br />
79<br />
National Hydraulic Institute of Malaysia (NAHRIM)
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