Philippine Journal of Science
152 (S1): 165-183, Philippine Meteorological Research
ISSN 0031 – 7683
Date Received: 03 Feb 2023

Temporal Trend Analysis of Annual, Maximum,
and Seasonal Rainfall in Selected Weather Stations
in Region IV-A, Philippines

Cyra Gail P. Fernandez1*, Allan T. Tejada Jr.2, and Victor B. Ella3

1Agrometeorology, Biostructures, and Environment Engineering Division,
Institute of Agricultural and Biosystems Engineering,
College of Engineering and Agro-Industrial Technology,
University of the Philippines Los Baños, College, Laguna, Philippines
2Interdisciplinary Studies Center for Water, School of Environmental Science and Management,
University of the Philippines Los Baños, College, Laguna, Philippines
3Land and Water Resources Engineering Division, Institute of Agricultural and Biosystems Engineering,
College of Engineering and Agro-Industrial Technology,
University of the Philippines Los Baños, College, Laguna, Philippines

*Corresponding author: cpfernandez2@up.edu.ph

[Download]
Fernandez CG et al. 2023. Temporal Trend Analysis of Annual, Maximum, and Seasonal Rainfall
in Selected Weather Stations in Region IV-A, Philippines. Philipp J Sci 152(S1): 165–183.
https://doi.org/10.56899/152.S1.13

 

ABSTRACT

Temporal variability analysis of rainfall is important for planning agricultural crop production activities, designing water resource systems, and conducting climatological research, particularly climate change analysis. This study aimed to analyze the temporal trends of annual (total and 1-d maximum) and seasonal (total) rainfall observed in Region IV-A. Historical rainfall data were collected from seven weather stations scattered all over the region. Each dataset was initially subjected to a series of homogeneity tests (standard normal homogeneity, Pettitt’s, Buishand’s range, and von Neumann ratio), followed by trend analysis using both linear regression analysis and non-parametric methods [Mann-Kendall (MK), modified MK (MMK), and Sen’s slope (SS) estimator]. All data series proved to be homogeneous except for the annual and seasonal (DJF) total rainfall in Sangley Point station. The results of the homogeneity test in Sangley Point in annual and DJF timescale suggest the consideration of the breakpoint on the years of 1984 and 1999, respectively, for trend analysis. Temporal trend based on linear regression showed a weak correlation between rainfall of various time scales and time in years, with only three stations showing a significant trend at a 5% significance level – namely, Los Baños (DJF, 2.86 mm/yr), Tayabas (DJF, 7.99mm/yr), and Sangley Point (JJA, 9.32 mm/yr). On the other hand, both MK and SS indicates a significant increase in the seasonal (DJF) total rainfall in both stations of Ambulong (1.04 mm/yr) and Los Baños (2.68 mm/yr). Overall, the results of trend analysis revealed an increasing trend in the cumulative rainfall across timescales in most stations in the region which has an implication on the timing of the optimum cropping patterns in agricultural areas and on the hydrology of the watersheds in the region. This study has generated new knowledge and information that could prove useful for agricultural production management and for proper planning, design, and management of water resource systems.