Journal
ECOLOGICAL INFORMATICS
Volume 33, Issue -, Pages 17-23Publisher
ELSEVIER
DOI: 10.1016/j.ecoinf.2016.03.004
Keywords
Ecologically relevant hydrological index; High performance computing; Big data; Ecohydrology
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Funding
- USDA National Institute of Food and Agriculture, Hatch project [MICL02359]
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Ecologically relevant hydrologic indices are being used for developing environmental flow baselines. EflowStats is an R-package developed by the US Geological Survey that calculates 171 ecologically relevant hydrologic indices. Although EflowStats provides a set of easy to use functions, once it is applied to a large area with thousands of streams, it requires a long processing time. This particularly limits its application in problems that are dealing with optimizations, requiring evaluation of thousands of scenarios. As a result, a new package called MATLAB Hydrological Index Tool (MHIT) was developed, incorporating different technologies, such as vectorization, memoization, and parallelism to considerably reduce the processing time. Both EflowStats and MHIT were tested against a long-term (20 years) daily streamflow data set from the Saginaw River Watershed in Michigan. In summary, MHIT reduces the processing time by 227 times for the study area. Therefore, MHIT is much more suitable for dealing with Big Data. (C) 2016 Elsevier B.V. All rights reserved.
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