New flood risk index in tropical area generated by using SPC technique

Saudi, Ahmad Shakir Mohd; Ridzuan, Ilyas Syafiq Darul; Balakrishnan, Avinash; Azid, Azman; Shukor, Diyanatul Mardhiah Abdul; Rizman, Zairi Ismael

doi:10.4314/jfas.v9i4s.47

Cited by 10 publications

(21 citation statements)

References 14 publications

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“…The two most common types of correlation are Spearman's and Pearson's rank coefficients which are the former that needs ordinal data as the calculation will depend on data ranking. In other hands, it also assesses the degree of strength for the coefficient between variables considered in the research [8,9]. For this method, there can be either positive or negative correlation; the positive correlation will specify one variable increasing together in a linear condition and for negative correlation, it indicates one variable increasing but the other decreasing in a linear condition.…”

Section: Discussionmentioning

confidence: 99%

Flood Risk Pattern Recognition Analysis in Klang River Basin

Kandari¹,

Saudi²,

Chyang³

et al. 2018

IJET

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This study was implemented to identify the specific factors that lead to major contribution of floods in Klang River Basin. A thirty-year (1987-2017) database obtained from Department of Irrigation and Drainage (DID), the selected data was analyzed by using integrated Chemometric techniques. The finding from Correlation Analysis revealed strong correlation between stream flow and water level is more than 0.5 (= 0.799). The finding from Principal Component Analysis proved that the selected parameters were significant with the result of R2 > 0.7was applied as a main tool for further analysis. Based on the result, it revealed that stream flow and water level were the most significant hydrological factor that influenced flood risk pattern in Klang River basin. Based on the result from Statistical Process control (SPC), the finding showed that the Upper Control Limit (UCL) for water level was 30.290m. The plotted data which is more than 30.290 m can cause flood to occur in Klang River Basin. Thus, it is very important to continuously monitor and maintain the mitigation measure of flood in the study area to avoid flood to occur. This study also helps to provide visualization of flood pattern and show the optimal rates for the maximum limit for flood control in Klang River Basin.

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Section: Discussionmentioning

confidence: 99%

Flood Risk Pattern Recognition Analysis in Klang River Basin

Kandari¹,

Saudi²,

Chyang³

et al. 2018

IJET

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“…The higher peak in the trend graphs of Stream Flow are matched with major flood history that happen in Pahang state, which obviously affected by the increase in precipitation that can be visualized by referring the stream flow and water level [11]. Based on Figure 5, Rapid development inflicts the negative impacts towards the rate of the surface runoff flow into the water body system which can be affected the water level at certain location in the river basin and subsequently may lead to flood [12]. River flow might be change due to drastic form from human activities taking along river basin.…”

Section: Flood Control Warning Systemmentioning

confidence: 99%

New Approach in Analyzing Risk Level of Flood in Tropical Region: A Case Study at Pahang River Basin, Malaysia

Ismail¹,

Saudi²,

Kamarudin³

et al. 2018

IJET

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This study focuses on flood risk recognition factor that leads to major contribution of floods in Pahang River basin, identify the correlation between variables and determine factor that influence the flood risk pattern in Pahang. Four hydrological variables been applied. Chemometric technique of Principal Component Analysis (PCA) method and Statistical Process Control (SPC) method were being applied to identify the main contributor for flood, predicting hydrological modeling and risk of flood occurrence at Pahang river basin. Findings from Principal Component Analysis (PCA) confirmed that all selected variables were significant. The relationship between Suspended Solid and Stream Flow with Water Level were very high with correlation of coefficient value more than 0.7. SPC set up a new control limit for all variables. Data beyond the Upper Control Limit (UCL) value is considered as high risk for flood occurrence. Most of the trend pattern showed in year 2007 as high peak. Rapid development growth and anthropogenic activities caused the sediment of Suspended Solid triggered the Water Level and Stream Flow to arise than normal level. Thus, local authority should take earlier precaution for flood prevention and emergency responses plan at the study area for any development of land by takes obligatory action to the developers especially those development that arise along river channel.

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“…The Air Quality [17][18][19][20][21][22][23][24][25] Guidelines set for the first time a guideline value for particulate matter and the aim of the guidelines is to achieve the lowest concentrations of pollutant in atmosphere as possible [11].…”

Section: Review Of Literaturesmentioning

confidence: 99%

A study on air pollution concentration at Desa parkcity construction site

Saudi

Nurulshyha

Mahmud

et al. 2018

J. Fundam and Appl Sci.

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This study assesses the effect of construction workers exposure towards the air pollution the correlation between meteorological factor with the particulate matter and other gases concentration at a construction site in DesaParkcity. The concentration of PM was collected by using low volume sampler meanwhile CO, CO with the particulate matter concentration. There is a significant association between factor with the concentration orCO, CO 2 , SO 2 and NO 2 at DesaParkcity air pollution; construction worker; meteorological factor.

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New flood risk index in tropical area generated by using SPC technique

Cited by 10 publications

References 14 publications

Flood Risk Pattern Recognition Analysis in Klang River Basin

Flood Risk Pattern Recognition Analysis in Klang River Basin

New Approach in Analyzing Risk Level of Flood in Tropical Region: A Case Study at Pahang River Basin, Malaysia

A study on air pollution concentration at Desa parkcity construction site

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