Investigation of flood pattern using ANOVA statistic and remote sensing in Malaysia

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Ya'acob, Norsuzila^1,2,3 ; Ismail, Nor Syazwani^1 ; Mustafa, Norfazira^1 ; Yusof, Azita Laily^1,2

Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam Selangor, Malaysia^1

Wireless Communication Technology (WiCoT), Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia^2

Institute of Space Science, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia^3

关键词: Calculation accuracy;    Correlation patterns;    Economic impacts;    Extreme flood;    Extreme weather;    Flood event;    Remote sensing images;    Weather patterns;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012030/pdf
DOI  :  10.1088/1755-1315/20/1/012030

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Flood is an overflow or inundation that comes from river or other body of water and causes or threatens damages. In Malaysia, there are no formal categorization of flood but often broadly categorized as monsoonal, flash or tidal floods. This project will be focus on flood causes by monsoon. For the last few years, the number of extreme flood was occurred and brings great economic impact. The extreme weather pattern is the main sector contributes for this phenomenon. In 2010, several districts in the states of Kedah neighbour-hoods state have been hit by floods and it is caused by tremendous weather pattern. During this tragedy, the ratio of the rainfalls volume was not fixed for every region, and the flood happened when the amount of water increase rapidly and start to overflow. This is the main objective why this project has been carried out, and the analysis data has been done from August until October in 2010. The investigation was done to find the possibility correlation pattern parameters related to the flood. ANOVA statistic was used to calculate the percentage of parameters was involved and Regression and correlation calculate the strength of coefficient among parameters related to the flood while remote sensing image was used for validation between the calculation accuracy. According to the results, the prediction is successful as the coefficient of relation in flood event is 0.912 and proved by Terra-SAR image on 4th November 2010. The rates of change in weather pattern give the impact to the flood.