CIGR2010-book-abstra..

COMPARISON OF DRAINMOD AND ARTIFICIAL NEURAL NETWORK FOR
PREDICTING WATER TABLE DEPTH AND DRAIN DISCHARGE IN A SUBSURFACE
DRAINAGE SYSTEM
H. EBRAHIMIAN 1 , H. OJAGHLOU 1,2 , A. LIAGHAT 1 , M. PARSINEJAD 1 , B. NAZARI 1,2 , H. NOORY 1
1 H. EBRAHIMIAN, PhD Student, Department of Irrigation and Reclamation, University of Tehran, Karaj, Iran, ebrahimian@ut.ac.ir., 1 A.
LIAGHAT, Professor., 1 M. PARSINEJAD, Assistant Professor. 1 H. NOORY, PhD Student. 2 H. OJAGHLOU, B. NAZARI, PhD Student and
Member of Young Researchers Club of Islamic Azad University, Science and Research Branch of Tehran, Iran.
CSBE100087 – Drainage is an effective way to control water table in the farm fields with high
groundwater level in the north of Iran. This study is carried out in the Ran Behshahr field under
subsurface drainage system. Artificial Neural Network and DRAINMOD model were evaluated for
predicting water table depth in midpoint between two laterals designated as S3PD14 and S3PD15
and drain discharge. Depth of water table and drain discharge were measured for rainfall seasons of
2004 and 2006 years. In this study the feed-forward back propagation model of ANN was used in
MATLAB Software. For evaluation of these two models, the value of absolute error (AE), standard
error (SE) and R2 were calculated. For the best ANN model, these values were obtained 4.4cm,
5.8cm, and 0.57 for prediction of water table depth and 0.08 mm/day, 0.1 mm/day and 0.59 for
drain discharge, respectively. For DRAINMOD model, these values were obtained 15.6 cm, 18.1
cm and 0.42 and 0.27 mm/day, 0.32mm/day and 0.71, respectively. Results indicated that the ANN
model more accurate than DRAINMOD in prediction of water table depth and drain discharge.
IMPACT OF BIOSOLID APPLICATION ON PERCOLATED WATER QUALITY
Q. UZ ZAMAN 1 , T.J. ESAU 1 , M.P. ROBERTS 1 , A. MADANI 1 , A.A. FAROOQUE 1
1 Q. UZ ZAMAN, Nova Scotia Agricultural College, Canada, Engineering Department, Assistant Professor, qzaman@nsac.ca., 1 T.J. ESAU, Research
Assistant, tesau@nsac.ca., 1 M.P. ROBERTS, Research Assistant, mproberts@nsac.ca., 1 A. MADANI, Professor, amadani@nsac.ca., 1 A.A.
FAROOQUE, Graduate Student, farooquea@nsac.ca.
CSBE100089 – Application of municipal biosolids as a fertilizer source on agricultural land not
only provides essential nutrients to the plants but also improves the physical and chemical
properties of soil. An experiment was conducted at the Wild Blueberry Research Institute, Debert,
NS to investigate the agronomic and environmental impact of N-Viro (biosolids) application on
wild blueberry fields under rainfed and irrigated conditions. There were four treatments (i.e.
commercial fertilizer, N-Viro, commercial fertilizer with irrigation, and N-Viro with irrigation) and
each treatment was replicated four times. Suction lysimeters were installed at 20 cm and 40 cm
depths in each plot and samples of leachate percolated through the soil profile were collected after
each irrigation and or rainfall throughout the experiment. Samples were analyzed for the nutrients
and heavy metals. The results will be presented in this paper.
36
XVII th World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR) – Québec City, Canada – June 13-17, 2010