Entropy-Based Index for Spatiotemporal Analysis of Streamflow, Precipitation, and Land-Cover
Publication: Journal of Hydrologic Engineering
Volume 21, Issue 11
Abstract
The hydrological behavior of a watershed is influenced by a multitude of factors that interact differently in time and space. The perspicacity of these interactions is critical for advancing water resource management. This article discusses an approach that entails an entropy-based disorder index for spatio-temporal pattern analysis. Based on a case study, the article reported the pertinence of the index for analyzing the hydrologic components of the watershed. Specifically, the approach examines the spatio-temporal patterns of streamflow, precipitation, and land-cover across the watershed. Indeed, each of these three variables is time-dependent and plays a determinant role in terrestrial hydrology. However, their joint functionality is more complex to elucidate, even though these variables frequently display meaningful variability in time and space. Within this contextual frame, application of the entropy-based index reveals prominent signals that are useful for water resources assessment. Moreover, the analysis using the entropy-based index provides realistic insights into the interactions between these hydrologic factors that interplay at the watershed scale.
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Acknowledgments
The authors would like to acknowledge Global Runoff Data Cente, the Direction Generale de l’Eau DGE-Benin, and particularly Mr. Joel Tossou for the assistance regarding the discharge data. Also, the authors acknowledge the Earth Observation System of NASA for releasing the processed leaf area index data.
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Information & Authors
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Published In
Journal of Hydrologic Engineering
Volume 21 • Issue 11 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jan 1, 2016
Accepted: Apr 18, 2016
Published online: Jun 21, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 21, 2016
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