ORIGINAL RESEARCH
Application of Quality Control Charts
for Early Detection of Flood Hazards
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1
Department of Mathematical Sciences, Universiti Teknologi Malaysia, Malaysia
2
Department of Mathematics, University of Hafr Al Batin, Saudi Arabia
3
Government College University, Lahore, Pakistan
4
Department of Mathematics, King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia
Submission date: 2018-11-02
Final revision date: 2019-04-19
Acceptance date: 2019-04-28
Online publication date: 2020-05-13
Publication date: 2020-08-05
Corresponding author
Muhammed Hisyam Lee
Department of Mathematical Sciences, Universiti Teknologi Malaysia, University Teknologi Malaysia, Johar Baru, 10560, Johar Baru, Malaysia
Pol. J. Environ. Stud. 2020;29(6):4241-4248
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ABSTRACT
Flooding is a serious and devastating hazard that many countries face regularly. Timely detection
of these changes can help us manage rainwater and hence flooding. Numerous statistical tools are
available for the early detection of these changes. In this regard, application of control charts is an
effective choice toward monitoring natural events. In this study, we used self-proposed and existing
control charts as a means of early detection of changes in the rainfall data of Pakistan as a case study.
The proposed methodology covered two aspects: one to enhance the ability of Shewhart control charts
toward detection of small or moderate changes in the behavior of natural events, and another to offer
skewness correction based on individual control chart under runs rules for managing these natural
events – especially when collected data follows unknown skewed distribution. Results elucidate that
control charts structures were efficient in early detection and prediction of floods during 2010. Our
results are in accordance with the theoretical results of existing studies, and we propose similar methods
to be used for meteorological purposes.