Perched on the Pacific Ring of Fire, devastating earthquakes, volcanic eruptions, and typhoons threaten the Philippines. To ensure a reliable water supply for its 6 million customers in the event of disaster, Manila Water Company, Inc. prepared a Natural Calamity Risk Resiliency and Mitigation Master Plan for its water and wastewater service area covering the east zone of Metro Manila and Rizal Province. Manila Water needed to identify which water facilities, supporting identified evacuation sites, were most vulnerable to natural disasters and prioritize them for resiliency measures, while optimizing the location of emergency reservoirs.
Manila Water Company, Inc. used WaterGEMS to perform a holistic assessment and analysis of its complex water distribution network, prioritizing assets based on criticality. WaterGEMS illustrated what happens if one or more interconnected systems shuts down in the event of a natural disaster and which facilities would cause the most harm to the system if it were operating at less than full capacity. Manila Water also identified what facilities needed costly resiliency measures and which ones could be addressed with less expensive contingency measures.
The results of the Natural Calamity Risk Resiliency and Mitigation Master Plan helped Manila Water prioritize facilities requiring resiliency measures to minimize damage and facilities needing contingency plans in case of loss. These measures could limit property damage and business interruption to USD 380 million versus the estimated USD 520 million without such measures. Additionally, the plan saves Manila Water time as the organization no longer needs to toggle from system to system to assess property damage. This plan also aimed to secure consistent and accessible drinking water throughout the impact of a natural disaster, minimizing potential casualties.
WaterGEMS helped Manila Water determine what assets required resiliency measures with a high level of accuracy. Creating a fully comprehensive model in WaterGEMS allowed the project team to critically analyze the complex water system. To add further precision to the models, information from various stakeholders was imported and integrated into the WaterGEMS model, validating, and strengthening assumptions and recommended actions. Results from models were used to generate data visualizations to aid decision making.