Databases & Data Platforms
Sources: Economic and Social Commission for Asia and the Pacific; Regional Integrated Multi-Hazard Early Warning System for Africa and Asia
Variables contributing to risk can be static (such as topography, land use, soil type and population) and dynamic (weather, crop-status or water resource related). Dynamic variables result in disaster risks that can change significantly across time and space. They have therefore been identified as key to understanding the interaction between hazards and predicting hazard impacts, however they are typically not captured within disaster risk assessments. ADAGE addresses this gap by showcasing dynamic risk assessments for ASEAN countries. It is a collaborative effort which is continuously supplemented as new dynamic risk assessments are created, thereby providing policymakers with a large range of up to date information, that can be used to support better informed operational risk assessments and decision-making.
Possible applications include:
Predicting seasonal drought risk using data on rainfall received during the previous season or previous year as well as the year in question.
Assessing the risk to crops by combining information on rainfall data with information about the crop stages. Heavy rainfall occurring during the harvesting stage would pose more risk to crops than the growing stage.