List of Articles بابل رود

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  1 - Evaluation of Suspended Sediment Load by Sediment Rating Curves and Comparing with Artificial Neural Network and Regression Methods (Case study: Babolrud River Mazandaran Province)
  Alireza Mardookhpour Hosein jamasbi Omid Alipour
  10.22034/jest.2018.22430.3152
  Background and Objective: In this research the object is prediction of suspended sediment load by and artificial neural network (ANN), Sediment Rating Curves (SRC) and regression methodfor BabolrudRiver in Mazandaran province. Method: The inputs conclude discharge and t More

  Background and Objective: In this research the object is prediction of suspended sediment load by and artificial neural network (ANN), Sediment Rating Curves (SRC) and regression methodfor BabolrudRiver in Mazandaran province. Method: The inputs conclude discharge and the output is sediments concentration in time series. The input and output of river have positive procedure for (1979-2013) and 75% of data utilized for training and 25% for tests. For training the network, data that recognize issue conditions were selected and some data for testing, Findings: The results show the concentration of sediment suspended load derived artificial neural network and is close together and regression coefficient is 92.8%, while regression coefficient is 83% for sediment rating curves and 90% for statistical method respectively. Discussion and Conclusion: In conclusion, artificial neural network (ANN) has more workability and flexibility for prediction of suspended sediment load to sediment rating curves and statistical methods. Manuscript profile
• Open Access Article
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  2 - A Study Diversity of Morphological Characters of Brown Trout (Salmo trutta fario) in Tajan River and Babolrud River in Mazandaran Province
  S. Vatandost Gh.H. Vosoghi Sh.A. Nezami A. Abdoli A. Matin far
  The study was conducted to determine suitable characters for separating brown trout (Salmo trutta fario) populations from Tajan River and Babolrud River in autumn 2006. Using electrofishing, one hundred two specimens were collected in two rivers (forty one from Shirinru More

  The study was conducted to determine suitable characters for separating brown trout (Salmo trutta fario) populations from Tajan River and Babolrud River in autumn 2006. Using electrofishing, one hundred two specimens were collected in two rivers (forty one from Shirinrud, thirty one from Ashekrud, thirty from Kelyareh). Twenty nine morphometric and seven meristic characters were analysed. Using PCA, the best separating characters of populations were determined. Among the morphometric characters, six factors accounted for about 79% of variation within individuals of the three populations including: head width, inter orbital length, predorsal length, pecto-ventral length, mandibular length, total length, head length , eye diameter , pectoral fin length, head depth, postdorsal length , post ventral length ,caudal peduncle length, post anal Length, Adipose fin length. In the case of meristic characters, three factors accounted for 60% of variation within populations including: anal fin ray, gill rackers, dorsal fin ray. The results showed that meristic characters are more important than morphometric characters in serparation of populations. Manuscript profile