What is it about?
A novel hybrid Wavelet packet–Support vector regression (WP–SVR) technique is proposed with a main objective to develop a reliable monthly groundwater level fluctuation forecasting system.
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Why is it important?
In general, Groundwater systems are characterized by non-stationary and nonlinear features.The prolonged drought, population growth and emerging climate change impacts have increased demand for groundwater and sustainable management of groundwater resources is imperative to the agricultural, industrial, urban, rural and environmental viability. Such management requires not only a robust monitoring of groundwater levels, but also sufficient knowledge on future groundwater level trends.
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This page is a summary of: Forecasting monthly groundwater level fluctuations in coastal aquifers using hybrid Wavelet packet–Support vector regression, Cogent Engineering, January 2015, Taylor & Francis,
DOI: 10.1080/23311916.2014.999414.
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