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Proceedings 2018, 2(11), 579; https://doi.org/10.3390/proceedings2110579

Stochastic Generation of Low Stream Flow Data of Iokastis Stream, Kavala City, NE Greece

1
Department of Civil Engineering, Democritus University of Thrace, Kimmeria Campus, 67100 Xanthi, Greece
2
Department of Mechanical Engineering, Eastern Macedonia & Thrace Institute of Technology, 65404 Kavala, Greece
Presented at the 3rd EWaS International Conference on “Insights on the Water-Energy-Food Nexus”, Lefkada Island, Greece, 27–30 June 2018.
*
Author to whom correspondence should be addressed.
Published: 29 August 2018
PDF [890 KB, uploaded 29 August 2018]

Abstract

Only a few scientific research studies, especially dealing with extremely low flow conditions, have been compiled so far, in Greece. The present study, aiming to contribute in this specific area of hydrologic investigation, generates synthetic low stream flow time series of an entire calendar year considering the stream flow data recorded during a center interval period of the year 2015. We examined the goodness of fit tests of eleven theoretical probability distributions to daily low stream flow data acquired at a certain location of the absolutely channelized urban stream which crosses the roads junction formed by Iokastis road an Chrisostomou Smirnis road, Agios Loukas residential area, Kavala city, NE Greece, using a 3-inches conventional portable Parshall flume and calculated the corresponding probability distributions parameters. The Kolmogorov-Smirnov, Anderson-Darling and Chi-Squared, GOF tests were employed to show how well the probability distributions fitted the recorded data and the results were demonstrated through interactive tables providing us the ability to effectively decide which model best fits the observed data. Finally, the observed against the calculated low flow data are plotted, compiling a log-log scale chart and calculate statistics featuring the comparison between the recorded and the forecasted low flow data.
Keywords: artificial time series; discrepancy ratio; goodness-of-fit tests; low flow data; conventional Parshall flume; drought artificial time series; discrepancy ratio; goodness-of-fit tests; low flow data; conventional Parshall flume; drought
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Papalaskaris, T.; Panagiotidis, T. Stochastic Generation of Low Stream Flow Data of Iokastis Stream, Kavala City, NE Greece. Proceedings 2018, 2, 579.

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