Entropy-Based Index for Spatiotemporal Analysis of Streamflow, Precipitation, and Land-Cover Academic Article uri icon

abstract

  • © 2016 American Society of Civil Engineers. 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.

author list (cited authors)

  • Djebou, D., & Singh, V. P.

citation count

  • 8

publication date

  • November 2016