Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach

Article


Farzana, Syeda Zeh, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach." Geosciences. 14 (8). https://doi.org/10.3390/geosciences14080225
Article Title

Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach

ERA Journal ID210512
Article CategoryArticle
AuthorsFarzana, Syeda Zeh, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir
EditorsHuang, G.
Journal TitleGeosciences
Journal Citation14 (8)
Article Number225
Number of Pages27
Year2024
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2076-3263
Digital Object Identifier (DOI)https://doi.org/10.3390/geosciences14080225
Web Address (URL)https://www.mdpi.com/2076-3263/14/8/225
Abstract

An understanding of the trend and relationship between rainfall patterns and water quality dynamics can provide valuable guidelines for the effective management of water resources. The aim of this study was to reveal the synchronous trends in rainfall and water quality and to explore the potential connection between seasonal variation in rainfall volume and the water quality index. This study scrutinised the seasonal temporal trends of rainfall and water quality parameters of three water supply reservoirs in the Toowoomba region of Australia by applying the modified Mann–Kendall (MMK) test and innovative trend analysis (ITA) methods from data collected over 22 years (2002–2022). The models showed a significant increasing trend of rainfall in two rainfall stations during autumn season. The water quality parameters, such as PO4 3−, exhibited a significant decreasing trend in all seasons in three reservoirs. On the other hand, the water quality index (WQI) showed a decreasing trend in the Cooby and Cressbrook reservoirs, excepting the Perseverance reservoir, which exhibited an increasing trend. In addition to the detection of trends, this study investigated the potential correlation between seasonal variation of rainfall volume and the water quality index using the wavelet transform coherence (WTC) method. The data of twelve rainfall stations were brought into this analysis. The WTC analysis displayed an apparent correlation between the water quality index and rainfall pattern for 70% of the rainfall stations across 8–16 periods. The highest coherency was noticed in 8–16 periods from 2002–2022, as observed at both the Cooby Creek rainfall station and in the WQI of the Cooby reservoir. This evaluation revealed the intertwined dynamics of rainfall patterns and water quality, providing a deeper understanding of their interdependence and implications, which might be useful for environmental and hydrological management practices.

Keywordswater quality; wavelet transform coherence; innovative trend analysis; modified Mann–Kendall test; rainfall
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020401302. Geospatial information systems and geospatial data modelling
400513. Water resources engineering
Byline AffiliationsSchool of Engineering
School of Surveying and Built Environment
Murray-Darling Basin Authority, Australia
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Paudyal, Dev Raj. 2008. Pro-poor land management in developing countries: a case study in Nepal and India. Copenhagen, Denmark. International Federation of Surveyors (FIG).
A regional collaborative network to improve spatial information sharing in Australia
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2010. "A regional collaborative network to improve spatial information sharing in Australia." 12th Global Spatial Data Infrastructure Association World Conference (GSDI 12). Singapore 19 - 22 Oct 2010 Melbourne, Australia.
Spatial data infrastructure for pro-poor land management
Paudyal, Dev Raj and McDougall, Kevin. 2010. "Spatial data infrastructure for pro-poor land management." Staiger, Rudolf (ed.) 24th International Federation of Surveyors International Congress (FIG 2010): Facing the Challenges - Building the Capacity. Sydney, Australia 11 - 16 Apr 2010 Sydney, Australia.
Spatial data infrastructure for catchment management: a case study of Condamine Catchment, Australia
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2009. "Spatial data infrastructure for catchment management: a case study of Condamine Catchment, Australia." Indian Cartographer. 28, pp. 439-444.
Building SDI bridges for catchment management
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2009. "Building SDI bridges for catchment management." van Loenen, B., Besemer, J. W. J. and Zevenbergen, J. A. (ed.) SDI convergence: research, emerging trends, and critical assessment. Delft, Netherlands. Netherlands Geodetic Commission. pp. 265-279
Building spatial data infrastructure to support sustainable catchment management
Paudyal, Dev Raj and McDougall, Kevin. 2008. "Building spatial data infrastructure to support sustainable catchment management." McDougall, Kevin (ed.) Queensland Spatial Conference 2008. Surfers Paradise, Australia 17 - 19 Jul 2008 Brisbane, Australia.