Analyzing Inflow Trend of Indiana Reservoirs Using SOM
Publication: Journal of Hydrologic Engineering
Volume 17, Issue 8
Abstract
Inflows to reservoir systems are affected by climatic changes. In the past, regional inflow trend analyses were conducted using statistical approaches. This research made use of an artificial intelligence technique called the self-organizing map (SOM) to perform trend and cluster analysis for the inflows into the flood-control reservoirs of Indiana. Along with SOM, this research also used the Mann-Kendall test and a revised Mann-Kendall test for regional analysis. Results indicate an increasing trend in the clusters that represent days with high inflows to the northern reservoirs of Indiana when inflows to the central and southern reservoirs were low or medium. A 7% increase was noticed in the annual daily counts belonging to this cluster during the past 20 years. Similar trends were observed concerning high-inflow days to the central reservoirs of Indiana. However, they are not statistically significant at a 95% confidence level. This study concludes that SOM is a useful tool for studying the trends at a regional level.
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Published In
Journal of Hydrologic Engineering
Volume 17 • Issue 8 • August 2012
Pages: 880 - 887
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Jan 17, 2011
Accepted: Sep 26, 2011
Published online: Sep 28, 2011
Published in print: Aug 1, 2012
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