Flood Susceptibility Prediction via Data-Mining Based Bell-Curve Analogical-Hydrographs Analysis: A Case Study of Langat River Basin, Selangor, Malaysia

Siti Nor Khuzaimah, Yasushi Kiyoki, Yoshimitsu Aoki

研究成果: Conference contribution

抄録

In this study, we proposed data-mining based bell-curve analogical hydrographs analysis with lag time vertical axes and bankfull discharge horizontal axes to make flood susceptibility prediction. We utilized flood data reports, hourly/daily rainfall data and daily water discharge of Hulu Langat district, Selangor Malaysia from the year 2013-2016 to do flood susceptibility. We implement data mining concept by sorting the database, followed by plotting hydrograph to identify flood patterns and establish relationships to predict flood trends. This method is an intersection between the knowledge field of hydrology and mathematical modeling. When an outlier from the graph is detected, the knowledge from hydrology can be applied to understand the reason behind the appearance of outliers. Besides, the knowledge of mathematical modeling is necessary to assist us in predicting flood susceptibility. The purpose of this study is to predict the flood susceptibility which is vital to prepare the users/public well prepared for smooth and efficient evacuation. In 4 years context, our flood depth predictions are nearly 100% accurate. Factor influencing the lag time and steepness of rising limb are related to land use and topographical features. Implications of the results and future research directions are also presented.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXXI
編集者Ajantha Dahanayake, Janne Huiskonen, Yasushi Kiyoki, Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida
出版社IOS Press
ページ442-457
ページ数16
ISBN(電子版)9781643680446
DOI
出版ステータスPublished - 2019 12 13
イベント29th International Conference on Information Modeling and Knowledge Bases, EJC 2019 - Lappeenranta, Finland
継続期間: 2019 6 32019 6 7

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
321
ISSN(印刷版)0922-6389

Conference

Conference29th International Conference on Information Modeling and Knowledge Bases, EJC 2019
CountryFinland
CityLappeenranta
Period19/6/319/6/7

ASJC Scopus subject areas

  • Artificial Intelligence

フィンガープリント 「Flood Susceptibility Prediction via Data-Mining Based Bell-Curve Analogical-Hydrographs Analysis: A Case Study of Langat River Basin, Selangor, Malaysia」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル