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Rapid Assessment Method of Flood Damage Using Spatial-Statistical Models

机译:基于空间统计模型的洪水灾害快速评估方法

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Attention to damage assessment is always a priority especially in cases of natural disaster. The state of Kelantan is known to be one of a few Malaysian states with noticeable natural disaster, in particular, flood. In December 2014, an extraordinary magnitude of flood – nicknamed as yellow flood – struck the state causing hundreds of million ringgit of damage to properties. The purpose of this study is to demonstrate a spatial approach to estimating property damage incurred by flood. By selecting a badly affected area, GIS was used to map geo-referenced flood-hit location in Kuala Krai, Kelantan. Flood hazard was modelled and superimposed on estimated property damage. GIS spatial technique was then employed to estimate the flood damage incurred. This study, however, did not make a complete damage assessment of the properties but rather focusing on the methodology of damage assessment to show how it can be implemented. In conclusion, GIS spatial technique can generally be used to provide flood damage rapid assessment method.
机译:重视损害评估始终是优先事项,尤其是在自然灾害的情况下。吉兰丹州是马来西亚少数几个自然灾害特别严重的州之一,尤其是洪水。 2014年12月,该州发生了特大洪水(绰号为黄色洪水),造成数亿林吉特的财产损失。这项研究的目的是展示一种空间方法来估算洪水造成的财产损失。通过选择一个受灾严重的地区,GIS被用于绘制吉兰丹州瓜拉边疆区的地理参考洪水灾区位置。对洪水灾害进行了建模,并将其叠加在估计的财产损失上。然后,采用GIS空间技术来估算洪水的破坏程度。但是,这项研究并未对这些特性进行完整的损害评估,而是着重于损害评估的方法论以展示如何实施。总之,GIS空间技术通常可以用来提供洪水灾害快速评估方法。

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