Effectiveness of different methods of data separation to increase the accuracy of the estimate suspended sediment stations using sediment ratio curve (Case study: Part of the watershed Atrak in Golestan Province)

Document Type : Research Paper

Authors

1 Azad university

2 payam noor university

Abstract

Estimation of suspended sediment basins of data and information is readily available but for basins without statistics, other methods require. The experimental method known as sediment rating curves or relationship "discharge sediment load" is provided. This study seeks to provide better separation of data and the preparation and suspended sediment curve refine hydrometric stations Maraveh Tape, Houtan, Qazanqayeh on the Atrak River in the Atrak watershed is located in Golestan province. To increase the accuracy of the classification scale monthly, quarterly, all samples, wet and dry periods and classifieds sediment discharge with frequency curve fitting techniques to fit a linear, linear fit by adjusting FAO, fitting combination (multi-line ), graphical approach (maximum concentration) and is fitted intermediate categories. For this purpose, statistical indicators were used to select the top. The results showed that sediment rating curve model by fitting a line to the correct application of FAO data Maraveh Tape station, method fitting a line dividing adjusted by applying FAO data on dry and wet period in the station Qazanqayeh and method Fitting a line segmentation classification data on discharges in Houtan Station Among the models tested with the least amount of mean square error and the predictability of the study is to estimate precipitation stations. Selected on the basis of the average amount of sediment suspended for watershed Atrak to Maraveh Tape station, Qazanqayeh and Houtan respectively 705, 683 and 781 Ton/Km2.day was estimated.

Keywords

Journal of Range and Watershed Managment
Volume 71, Issue 2
September 2018
Pages 457-471

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History

  • Receive Date: 27 January 2016
  • Revise Date: 04 September 2018
  • Accept Date: 27 May 2018
  • First Publish Date: 23 August 2018

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