Research Article Open Access

Investigation and Comparison of the Quantitative and Qualitative Frequency Distribution of the Rivers

Saeid Eslamian1, Mahboubeh Amoushahi-Khouzani2, Iman Malekpour3, Arezou Babaahmadi4, Kaveh Ostad-Ali-Askari2, Vijay P. Singh5 and Mohsen Ghane2
  • 1 Isfahan University of Technology, Iran
  • 2 Islamic Azad University, Iran
  • 3 University of Iowa, USA
  • 4 Chalmers University of Technology, Sweden
  • 5 Texas A and M University, USA
American Journal of Engineering and Applied Sciences
Volume 10 No. 4, 2017, 799-805

DOI: https://doi.org/10.3844/ajeassp.2017.799.805

Submitted On: 23 August 2017 Published On: 16 October 2017

How to Cite: Eslamian, S., Amoushahi-Khouzani, M., Malekpour, I., Babaahmadi, A., Ostad-Ali-Askari, K., Singh, V. P. & Ghane, M. (2017). Investigation and Comparison of the Quantitative and Qualitative Frequency Distribution of the Rivers. American Journal of Engineering and Applied Sciences, 10(4), 799-805. https://doi.org/10.3844/ajeassp.2017.799.805

Abstract

The entrance of pollutants from human activities to the surface water has seriously threatened the quality of water. TDS is an important qualitative parameter of water that describes the water salinity by measuring the concentration of total dissolved solids. First, using TDS and discharge data of the Cuyahoga River, Ohio, the partial and annual data sets were obtained. Then, partial data with three thresholds of n, 1.64n and 2n, in which n is the number of statistical years were developed and using the Hyfa Software, the frequency distribution of the data series was done. The results showed that for most cases, the two-parameter Log-normal distribution is the best distribution. Finally, for model validation, the error corresponding to each estimation was first calculated in comparison to the real data for the corresponding return periods. Then, 1.64n partial series was considered as the optimum method suggested by Hasking and a comparison was made between the estimates and this optimum series. The results showed that the series with a length of 2n was closest to the optimum case.

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Keywords

  • Water Quality
  • TDS
  • River Discharge
  • Frequency Distribution
  • Two-Parameter Log-Normal
  • Water Resources Management