用卫星影像识别印尼巴丹市易液化区域,低成本高效预警
Vulnerability Liquefaction Mapping in Padang City Based on Cloud Computing Using Optical Satellite Imagery Data
- 通过近红外与短波红外波段计算NDWI指数,识别高水饱和区
- 高水含量区域与液化风险高度相关,关键波段为832.8nm和2202.4nm
- 适合城市规划与地震灾害减灾决策参考
液化是印度尼西亚巴丹市等地震多发地区的重要地质灾害,指饱和土壤在地震震动下失去强度,导致基础设施严重受损。准确识别敏感区域对减灾至关重要。本研究利用光学卫星数据绘制水分布图,评估其作为确定液化脆弱性关键要素的作用。采用归一化差异水指数(NDWI)分析水体与植被指数,利用对地表水分含量敏感的近红外(NIR)与短波红外(SWIR)波段(分别为832.8 nm和2202.4 nm),结合高分辨率卫星数据生成NDWI地图,突出高水饱和区域。结果与地质及地震数据融合,识别出易液化区。研究发现,高水含量区域(由NDWI衡量)与更高的液化易发性显著相关。该研究凸显了水分布对地震中土体行为的关键影响,证实了NDWI作为区域性液化脆弱性评估的低成本、高效工具价值,为巴丹市的城市规划、灾害风险降低与社区应急准备提供科学依据。
原文摘要 · Abstract (English)
Liquefaction is a significant geological hazard in earthquake-prone locations like Padang City, Indonesia. The phenomenon happens when saturated soil loses strength owing to seismic shaking, resulting in substantial infrastructure damage. Accurate identification of sensitive locations is critical to catastrophe mitigation. This study aims to map water distribution using optical satellite data and estimate its importance as a crucial element in determining liquefaction vulnerability. The Normalized Difference Water Index (NDWI) was used to assess water and vegetation indexes, taking advantage of its sensitivity to water content in varied land surfaces. We recommended using the NIR (near-infrared) and SWIR (short wave infrared) bands with 832.8 nm and 2202.4 nm, respectively, which are sensitive to soil water content. High-resolution satellite data were used to create NDWI maps, highlighting locations with high water saturation. These findings were combined with geological and seismic data to identify liquefaction-prone zones. The study found that locations with high water content, as measured by NDWI, are highly associated with greater liquefaction susceptibility. The findings highlight the importance of water distribution in determining soil behavior during seismic occurrences. This study highlights the value of NDWI as a low-cost and efficient tool for measuring liquefaction vulnerability at the regional level. The technique offers insights into Padang City's urban planning, catastrophe risk reduction, and community preparedness.
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