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Volume 27 (2013)
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An Artificial Neural Network Model for Estimating Fluvial Suspended Sediment Concentration Using MODIS Sensor Images (Case Study: Mollasani Hydrometric Station, Khouzestan Province)

M.R. Tabatabaei; K. Shahedi; karim solymani

Volume 27, Issue 1 , March and April 2013, , Pages 193-204

https://doi.org/10.22067/jsw.v0i0.22230

Abstract
  The estimation of suspended sediment load is very important for water resources quantity and quality studies. The suspended sediment load is generally calculated by direct measurement of suspended sediment concentration (SSC) of a river or by using sediment rating curve (SRC) method. Direct measurement ...  Read More