Oct 4, 2025
Indeed, Rodney Cook Park filled up with 9 million gallons of water, but nearby residents' homes stayed dry.
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Indeed, Rodney Cook Park filled up with 9 million gallons of water, but nearby residents' homes stayed dry.
Tsunami countermeasures written in stone scattered along Japan’s northeastern shore. These flat stones, some as tall as 3 meters, warn descendants to avoid building below or they’ll suffer the same fate as their ancestors. source: T. Kishimoto/Ancient Origins
The 2004 Indian Ocean Tsunami: A Wake-Up Call for Tsunami Preparedness
The 2004 Indian Ocean Tsunami: A Catastrophic Event The Indian Ocean tsunami that struck on December 26, 2004, remains one of the deadliest natural disasters in history, leaving an indelible mark on the lives of countless survivors. Many of those caught in the path of the massive waves were bewildered, as the concept of a tsunami was largely unfamiliar to them. For instance, Syamsidik, an…
The Disaster Management (Amendment) Bill, 2024 was introduced in Lok Sabha on August 1, 2024. The Bill amends the Disaster Management Act,
This quantitative-experimental study aims to develop a residential property price forecasting model for the fourteen municipalities and cities of central Pangasinan, Philippines. Employing supervised learning classification algorithms (linear regression and decision tree), the model predicts whether the value of real properties will increase or decrease in the future. Additionally, classic statistical forecasting techniques (straight line, moving average, simple linear regression, and multiple linear regression) are utilized to predict the rate of increase or decrease, with a margin of error of +/- 5%. The study sources data from the Residential Real Estate Price Index (RREPI) of the Banko Sentral ng Pilipinas (BSP) from 2016 to 2021, Zonal Valuations (ZV) from the Bureau of Internal Revenue (BIR) from 1990 to 2023, and the Housing Cost Construction Index (HCCI) from the Philippine Statistics Authority (PSA) from 2006 to 2021, following an 80:20 training-testing data split ratio. The resulting model, employing the RandomForest algorithm, exhibits a significant accuracy rate of 93% and a precision rate of 93%. Comparative analysis demonstrates that machine learning-based algorithms, particularly Random Forest, outperform classic statistical forecasting techniques such as multiple linear regression, attaining an average prediction distance point of 4.32% versus 12.46%. The study’s findings carry profound implications for resilient planning and disaster mitigation in Central Pangasinan. By identifying areas with predicted property value increases, the model empowers local governments and community organizations to prioritize resilient planning efforts. This includes the strategic implementation of disaster mitigation strategies, such as flood control measures and coastal protection, in regions projected to experience property value growth. Moreover, the model’s predictive capabilities enable the assessment of specific areas’ vulnerability to climate-related risks, guiding informed decisions on sustainable development practices and environmental preservation.
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LANTAWA ANG UPDATES: Naverify na sa City Disaster Risk Reduction and Management Center Valencia, Provincial Disaster Risk Reduction Center Bukidnon & Lantapan Mdrrmc ang landslide area sa Sitio Kaulayanan, Talakag nga reported nga nag punong/impound ug tubig sa Manupali River.Nakita nga naay agi sa dako nga landslide sa Manupali River pero wala na naka Punong sa tubig ang maong landslide. Wala na…
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Hydrothermal Eruption is a Geohazard in which super-heated water trapped below the surface of the earth rapidly results in steam-driven explosions
Geohazard Consultation includes risk identification and analysis, mitigation measures on construction projects to minimise the impact of Geohazards.