International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 5, May 2014 Edition [ISSN 2250-3153]


The Logistic Multiple Regression Flow Model- A Tool for Aquatic Macrophyte Prediction and Management in Kolo Creek, Niger Delta
      A. E. Gobo, Etiga, G.E and Abam, T.K.S
Abstract: Flow reduction has been identified as the major predisposing factor that promotes the exuberation of most aquatic macrophytes in open channels. This study , therefore examines various flow variables such as Velocity (v), Cross Sectional Area (CSA), Discharge (Q) as well as Depth (D) from which a data base is generated. The least square multiple regression approach was adopted (to design a logistic flow model) to predict the spread of water hyacinth in Kolo creek in the Niger Delta. The flow variables obtained are used against percentage macrophyte area covered.

Reference this Research Paper (copy & paste below code):

A. E. Gobo, Etiga, G.E and Abam, T.K.S (2018); The Logistic Multiple Regression Flow Model- A Tool for Aquatic Macrophyte Prediction and Management in Kolo Creek, Niger Delta; Int J Sci Res Publ 4(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0514.php?rp=P292628
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