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Using Geo-Informatics for Landslide Risk Map in Northern Thailand

机译:在泰国北部使用地理信息学绘制滑坡风险图

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The Kingdom of Thailand has been facing with natural disasters every year: landslide, drought, wind storm, landslide etc. especially, the last decade the natural disaster was most frequency and devastated vast areas. Furthermore, landslide occurrences have become more and more recurrence and human impacts have been increasing on seriously natural disasters problem during the past couple of decades. The study has been designed to analyze the risk landslide areas for landslide management in Phetchabun province, Thailand. This study aim to apply the geo-informatics technology, create landslide risk map, and develop landslide monitoring and warning systems used for formulating preparedness and recovery plans. This analyzed the concerned physical and environmental factors though statistical techniques and spatial analysis. The analyzed factors included with river, elevation, street, land use, sub-basin area, slope, drainage and rainfall. Potential Surface Analysis (PSA) technique has been used for analysis included with overlaying and Weighting-Rating Model for landslide risk area. The validation model compared with historical data. The result could show risk areas of landslide in Phetchabun province that high risk areas are covering north-eastern and central of province. In addition, we divided risk area as three levels; high risky, moderate and less. Furthermore, the consequences can be protect or relieved by using appropriate measures; including both publicizing risk information and be prepared for the happening of such disasters. However, some of spatial data have to up to date and improve to high accuracy.
机译:泰王国每年都面临着自然灾害:滑坡,干旱,暴风雨,滑坡等。尤其是最近十年,自然灾害的发生频率最高,并摧毁了广大地区。此外,在过去的几十年中,滑坡发生的次数越来越多,人类对严重自然灾害问题的影响也越来越大。该研究旨在分析泰国碧差汶省滑坡管理的风险滑坡区。这项研究旨在应用地理信息技术,创建滑坡风险图,并开发用于准备和恢复计划的滑坡监测和预警系统。通过统计技术和空间分析,分析了有关的物理和环境因素。分析的因素包括河流,海拔,街道,土地利用,流域面积,坡度,排水和降雨。潜在表面分析(PSA)技术已用于滑坡风险区域的叠加和权重评估模型中包括的分析。验证模型与历史数据进行了比较。结果表明,碧差汶省的滑坡危险区高危险区覆盖了该省的东北和中部地区。此外,我们将风险区域划分为三个级别;高风险,中等和较少。此外,可以通过采取适当措施来保护或减轻后果;包括公开风险信息并为此类灾难的发生做好准备。但是,一些空间数据必须是最新的并且要提高到高精度。

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