IIUM Repository

Spatio-temporal patterns of river water quality in the Klang river basin, Malaysia: a functional data analysis approach to detect pre- and post-pandemic shifts

Ali, Nur Fatihah Mohd and Mohamed, Ibrahim and Yunus, Rossita Mohamad and Othman, Faridah (2025) Spatio-temporal patterns of river water quality in the Klang river basin, Malaysia: a functional data analysis approach to detect pre- and post-pandemic shifts. Environmental Monitoring and Assessment, 197. pp. 1-14. ISSN 0167-6369 E-ISSN 1573-2959

[img]
Preview
PDF - Published Version
Download (15MB) | Preview
[img]
Preview
PDF (WOS) - Supplemental Material
Download (292kB) | Preview
[img]
Preview
PDF (Scopus) - Supplemental Material
Download (259kB) | Preview

Abstract

Understanding spatial and temporal patterns of river water quality over a multi-year period is crucial for effective basin management and pollution control. This study applies functional data analysis (FDA) to evaluate monthly water quality index (WQI) data from 16 monitoring stations across the Klang River Basin, Malaysia, covering the period from 2020 to 2023, which spans both pre- and post-pandemic conditions. By treating water quality index (WQI) measurements as smooth functions over time, FDA captures underlying trends and variations that are not readily detected using classical statistical techniques. Functional principal component analysis (FPCA) reveals that the first component accounts for 97% of the total variation, reflecting the dominant pattern in water quality over time, which is characterized by relatively stable upstream conditions and gradual deterioration downstream. The second and third components capture seasonal fluctuations and short-term disturbances, potentially linked to monsoonal cycles and shifts in human activities during the pandemic. Functional clustering based on FPCA scores groups stations according to their temporal behavior, distinguishing upstream areas with stable conditions from downstream areas experiencing greater variability. Spatial interpretation of these clusters offers additional insight into localized pollution sources and environmental stressors. Compared to classical PCA, FDA provides a more detailed, curve-based understanding of time-dependent and location-specific changes in water quality. The result underscore the value of FDA in environmental monitoring, particularly for detecting pre- and post-pandemic shifts, and support its application in guiding adaptive and spatially targeted management strategies for river basins.

Item Type: Article (Journal)
Uncontrolled Keywords: Functional principal component analysis; Spatio-temporal clustering; Water quality trends; Monsoonal influence; River basin monitoring
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User: Dr. Nur Fatihah Mohd Ali
Date Deposited: 23 Oct 2025 16:12
Last Modified: 23 Oct 2025 16:12
URI: http://irep.iium.edu.my/id/eprint/123760

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year