Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave., Boston, MA 02111, USA.
Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave., Boston, MA 02111, USA.
Sci Total Environ. 2023 May 15;873:162315. doi: 10.1016/j.scitotenv.2023.162315. Epub 2023 Feb 18.
Public climatic data are rapidly growing in volume and complexity at global and national scales but these data remain underutilized for vulnerability assessment. We aim to explore how flood records from Dartmouth Flood Observatory, a global flood monitoring database, can be linked with a national disaster database maintained by the Indonesian National Board for Disaster Management, to aid local vulnerability assessment in Indonesia. We focused on physical damage to structures and agricultural crops from flooding and examined spatiotemporal patterns of a vulnerability metric derived from principal component analysis. We identified the most vulnerable areas based on emerging hot spot analysis and detected sporadic hotspots (i.e. on again then off again) of flooding in Jakarta and West Java. Using our derived metric, we identified oscillating cold spots (i.e. a cold spot that was previously a hot spot) of vulnerability in Banten, Jakarta, West Java, and Central Java. The detection of nonhomogeneous spatiotemporal trends in flooding and vulnerability demonstrate potential usability of public climate data and help to outline directions for novel research.
公共气候数据在全球和国家尺度上的数量和复杂性迅速增长，但这些数据在脆弱性评估方面的应用仍未得到充分利用。我们旨在探讨如何将达特茅斯洪水观测站（一个全球洪水监测数据库）的洪水记录与印度尼西亚国家灾害管理局维护的国家灾害数据库联系起来，以帮助印度尼西亚进行当地脆弱性评估。我们专注于洪水对建筑物和农业作物造成的物理破坏，并检查了主成分分析得出的脆弱性指标的时空模式。我们根据新兴热点分析确定了最脆弱的地区，并检测到雅加达和西爪哇间歇性热点（即时有时无）的洪水。使用我们得出的指标，我们确定了万丹、雅加达、西爪哇和中爪哇的脆弱性波动冷点（即以前是热点的冷点）。洪水和脆弱性的非均匀时空趋势的检测表明公共气候数据具有潜在的可用性，并有助于为新的研究指明方向。
