Long-term daily rainfall pattern recognition: application of principal component analysis

QR Code

Long-term daily rainfall pattern recognition: application of principal component analysis

This study aims to identify the daily rainfall pattern over a 20 year period (1994–2013) using data from 89 stations positioned throughout Malaysia by applying Principal Component Analysis (PCA). Six components were retained using PCA with total variance of 53.43%. The first and the second component...

Full description

Bibliographic Details
Main Authors:	Othman, Melawani, Ash’aari, Zulfa Hanan, Mohamad, Nur Diyana
Format:	Article
Language:	English
Published:	Elsevier 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/42989/ http://psasir.upm.edu.my/id/eprint/42989/1/1-s2.0-S1878029615006167-main.pdf

Similar Items

Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
by: Mohamad, Nur Diyana, et al.
Published: (2015)

Modelling of prevailing water distribution network in Putrajaya, Malaysia
by: Mohamad, Nur Diyana, et al.
Published: (2019)

The effectiveness of a probabilistic principal component analysis model and expectation maximisation algorithm in treating missing daily rainfall data
by: Chuan, Zun Liang, et al.
Published: (2020)

Patterns of aerosol over Malaysia from multiple satellite-borne sensors
by: Ash'aari, Zulfa Hanan, et al.
Published: (2013)

Application of remote sensing instruments in air quality monitoring in Malaysia
by: Salahuddin, Mohd Muzammil, et al.
Published: (2017)

Pattern recognition of Kedah River water quality data by implementation of principal component analysis
by: Mohd, Isahak, et al.
Published: (2011)

Principal component analysis for human gait recognition system
by: Khalifa, Othman Omran, et al.
Published: (2019)

Algorithm of face recognition by principal component analysis
by: Al-Khateeb, Khalid A. Saeed, et al.
Published: (2002)

Principal components analysis for Hindi digits recognition
by: El-Bashir, Mohammad Said Mansur, et al.
Published: (2008)

Site suitability assessment for selected nature-based solution (NBS) in flood-prone area
by: Ibrahim, Balqis, et al.
Published: (2024)

Spatial patterns in the oxygen isotope composition of daily rainfall in the British Isles
by: Tyler, Jonathan J., et al.
Published: (2015)

Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis
by: Aburas, Maher Milad, et al.
Published: (2018)

Last decade assessment of the impacts of regional climate change on crop yield variations in the mediterranean region
by: Alrteimei, Hanan Ali, et al.
Published: (2022)

Principal component analysis of image gradient orientations for face recognition
by: Tzimiropoulos, Georgios, et al.
Published: (2011)

Model recognition by using Principal Component Analysis (PCA) approach
by: Ud-Doulah, Md. Siraj, et al.
Published: (2014)

Measuring and mapping urban growth patterns using remote sensing and GIS techniques
by: Aburas, Maher Milad M., et al.
Published: (2017)

Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
by: Chuan, Zun Liang, et al.
Published: (2018)

Improvement Of Face Recognition Using Principal Component Analysis And Moment Invariant
by: Thomas, Annie
Published: (2007)

GIS-based risk assessment of tropical surface water pollution by integrating hydrogeological and anthropogenic parameters
by: Saifuddin, Muhammad Firdaus Umar, et al.
Published: (2022)

Integrating land use analysis with water demand estimation: a case study of Putrajaya, Malaysia
by: Mohamad, Nur Diyana, et al.
Published: (2024)

Daily rainfall modeling using neural network
by: S. D., Permai, et al.
Published: (2021)

Fitting daily rainfall distribution in peninsular Malaysia
by: Kong, Wen Gie
Published: (2022)

Long-term air temperature trends in Somalia from 1901 to 2021
by: Alasow, Ahmed Abdiaziz, et al.
Published: (2024)

Fusion of locally linear embedding and principal component analysis for face recognition (FLLEPCA)
by: Abusham, , EE, et al.
Published: (2005)

Quantifying the organic waste generated from the fresh market in Kundasang town, Sabah
by: Yaacob, Nurul Nadia Fatiha, et al.
Published: (2019)

Daily rainfall prediction using clonal selection algorithm
by: Noor Rodi, Nur Syazwani, et al.
Published: (2012)

The probability distribution of daily rainfall distribution in Klang Valley
by: Intan Najiha Akhmar, Saharuddin
Published: (2017)

Robust recognition of planar shapes under affine transforms using principal component analysis
by: Tzimiropoulos, Georgios, et al.
Published: (2007)

Euler principal component analysis
by: Liwicki, Stephan, et al.
Published: (2013)

Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
by: Al Mamun, Abdullah, et al.
Published: (2018)

Principal component analysis application on flavonoids characterization
by: Che Noh, Che Hafizah, et al.
Published: (2017)

The probability distribution of annual maximum hourly and daily rainfall in Kemaman
by: Aasha, Thiaharajan
Published: (2018)

Assessment variability of annual daily maximum rainfall of Kelantan, Malaysia
by: Siti Maizatul Ashikin, Shah Bahrim
Published: (2015)

Assessment variability of annual daily maximum rainfall of Terengganu, Malaysia
by: Nur Azira Ayuni, Ab Aziz
Published: (2015)

Assessment variability of annual daily maximum rainfall of Johor, Malaysia
by: Nur Farehah, Abdullah Anastas Zorin
Published: (2015)

Assessement variability of annual daily maximum rainfall of Pahang, Malaysia
by: Izyan Shahirah Aimi, Shaharuddin
Published: (2015)

Fitting the statistical distributions to the daily rainfall amount in Peninsular Malaysia
by: Jamaludin, Suhaila, et al.
Published: (2007)

Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia
by: Mohamad, Suzani, et al.
Published: (2023)

Development of genetic algorithm for optimization of yield models in oil palm production
by: Hilal, Yousif Y., et al.
Published: (2018)

Measuring land cover change in Seremban, Malaysia using NDVI index
by: Aburas, Maher Milad, et al.
Published: (2015)