Comparing rainfall patterns between regions in Peninsular Malaysia via a functional data analysis technique

Suhaila, Jamaludin; Jemain, Abdul Aziz; Hamdan, Muhammad Fauzee; Zin, Wan Zawiah Wan

doi:10.1016/j.jhydrol.2011.09.043

Cited by 48 publications

(20 citation statements)

References 15 publications

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“…Simple regression models were found to be inadequate for describing the relationships of daily averaged SGD and salt storage with the daily average rainfall rate. We explored an approach based on functional data analysis (FDA), used in a wide range of research fields, including hydrology [Ramsay and Silverman, 2005;Suhaila et al, 2011;Wang et al, 2011;Xin et al, 2014]. The effect of rainfall events was considered to follow a continuous and smooth function at the relevant (daily) temporal scale.…”

Section: 1002/2017wr020809mentioning

confidence: 99%

Effects of episodic rainfall on a subterranean estuary

Xin

et al. 2017

Water Resources Research

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Numerical simulations were conducted to examine the effect of episodic rainfall on nearshore groundwater dynamics in a tidally influenced unconfined coastal aquifer, with a focus on both long‐term (yearly) and short‐term (daily) behavior of submarine groundwater discharge (SGD) and seawater intrusion (SWI). The results showed nonlinear interactions among the processes driven by rainfall, tides, and density gradients. Rainfall‐induced infiltration increased the yearly averaged fresh groundwater discharge to the ocean but reduced the extents of the saltwater wedge and upper saline plume as well as the total rate of seawater circulation through both zones. Overall, the net effect of the interactions led to an increase of the SGD. The nearshore groundwater responded to individual rainfall events in a delayed and cumulative fashion, as evident in the variations of daily averaged SGD and salt stored in the saltwater wedge (quantifying the extent of SWI). A generalized linear model (GLM) along with a Gamma distribution function was developed to describe the delayed and prolonged effect of rainfall events on short‐term groundwater behavior. This model validated with results of daily averaged SGD and SWI from the simulations of groundwater and solute transport using independent rainfall data sets, performed well in predicting the behavior of the nearshore groundwater system under the combined influence of episodic rainfall, tides, and density gradients. The findings and developed GLM form a basis for evaluating and predicting SGD, SWI, and associated mass fluxes from unconfined coastal aquifers under natural conditions, including episodic rainfall.

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Section: 1002/2017wr020809mentioning

confidence: 99%

Effects of episodic rainfall on a subterranean estuary

Xin

et al. 2017

Water Resources Research

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“…The process is less straightforward for precipitations since the minimum is for a very high value of λ which corresponds to only 2 basis functions. This translates the difficulty of predicting precipitation processes (Suhaila et al, 2011). Since this would result in straight lines for precipitations, the λ value chosen is the lowest with a CV value inside the standard error of the minimum (in other words, below the horizontal shaded line in Figure 3b).…”

Section: Data Descriptionmentioning

confidence: 99%

Streamflow forecasting using functional regression

Masselot

Dabo‐Niang²,

Chebana

et al. 2016

Journal of Hydrology

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Streamflow, as a natural phenomenon, is continuous in time and so are the meteorological variables which influence its variability. In practice, it can be of interest to forecast the whole flow curve instead of points (daily or hourly). To this end, this paper introduces the functional linear models and adapts it to hydrological forecasting. More precisely, functional linear models are regression models based on curves instead of single values. They allow to consider the whole process instead of a limited number of time points or features. We apply these models to analyse the flow volume and the whole streamflow curve during a given period by using precipitations curves. The functional model is shown to lead to encouraging results. The potential of functional linear models to detect special features that would have been hard to see otherwise is pointed out. The functional model is also compared to the artificial neural network approach and the advantages and disadvantages of both models are discussed. Finally, future research directions involving the functional model in hydrology are presented.Comment: 30 pages, 12 figure

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“…The two inter-monsoon periods happen between the southwest and northeast monsoon seasons. These generally take place in March to April, which is the FIM (first inter-monsoon), and from September to October, namely the SIM (second inter-monsoon) [11,12].…”

Section: Seasonal Variation In Malaysia and Islands In The South Chinmentioning

confidence: 99%