Urban Flood Risk Mapping Using Analytic Hierarchy Process and Natural Break Classification

被引：0
|
作者：
Febrianto, Hegy [1 ]
Fariza, Arna [1 ]
Hasim, Jauari Akhmad Nur [1 ]
机构：
[1] Politeknik Elekt Negeri, Dept Informat Engn, Surabaya, Indonesia
来源：
2016 INTERNATIONAL CONFERENCE ON KNOWLEDGE CREATION AND INTELLIGENT COMPUTING (KCIC) | 2016年
关键词：
urban floods; risk map; analytical hierarchy process; natural break classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Indonesia have many urban areas with drainage which are still under construction and development. Urban city has potential area to get flooded because those factors. Surabaya city is the second largest population after Jakarta, the capital city of Indonesia. The floods that hit the areas have caused disruption of public health, economic activity, and urban infrastructure. Early caution is needed to warn society towards flood hazard. In this study, we develops a decision support system for disaster risk assessment using the analytic hierarchy process (AHP). This system produces a risk map with marked areas dynamically divided by natural breaks into three levels of risk. They are low, medium and high. The object of research is focused on 31 sub-districts in Surabaya city. The result of the level of risk towards flood disaster with AHP and Natural breaks classification has 60.44% accuracy value.
引用
收藏
页码：148 / 154
页数：7
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