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Articles by M. Golabi
Total Records ( 4 ) for M. Golabi
  A.M. Akhoond-Ail and M. Golabi
  The main aims of current study are testing a new idea of vertical installation of porous pipe instead of horizontal installation, leading irrigated water down according to root depth, minimizing evaporation from soil surface and preventing deep percolation. This system was designed for three lengths of porous pipe (30, 45 and 60 cm) with three water heads of 2, 4 and 6 m and for a maximum irrigation duration of 300 min. The experimental results showed vertical expansion of soil moisture to the extent of 200% of porous pipe length in all treatments. However, acceptable horizontal expansion of soil moisture was recorded only for application of 6 m of water head. The produced soil moisture content by this system was shown in a range between 14.8 and 17.4% (w/w), which is around field capacity water content. Therefore, it can support plant growth in effective manner.
  M. Golabi , P. Papan and B. Karami
  The main aims of present study are evaluation desalinization and desodification mathematical modeling in two zones of Northeast of Khuzestan province in Southwest of Iran with and without emendator material (Sulfuric acid). To reach the aims, the experiment was done in two zones with four treatments; 25, 50, 75 and 100 cm of water irrigation and four iterations in each plot (1*1 m) from surface to 150 cm of soil depth. Data that have used in this paper were Electrical Conductivity (EC) and Exchange Sodium Percentage (ESP). Data obtained from experimental results and with SPSS12.0 software eleven mathematic models have extracted. Results show that in zone one with and without acid Cubic equation for Electrical Conductivity and Exchange Sodium Percentage have the most and S, Logic equations have the least coefficient of determination. In addition, in zone two with and without acid for Electrical Conductivity Component, Growth and Power equations have the most and S, Logic equations have the least coefficient of determination. In zone two, the results of Exchange Sodium Percentage are similar to zone one.
  S.H. Musavi-Jahromi and M. Golabi
  To achieve goals of this research program, Karoon river in Iran is selected to assess the capability of ANNs for water quality simulation. This river is the longest river in Iran. It is located in Khuzestan province, South-West of the country. Several water quality variables including; CO3, HCO3, SO4, Cl, Na, Ca, Mg, K, EC, TDS and SAR have been simulated. Data from 1985 to 2006 at monitoring stations including; Arabhasan, Valiabad, Molasani, Ahwaz, Farsiat and Darkhoyen have been used for training of the selected ANN. Qnet 2000 ANN is selected for modeling purposes in the present research. Results show that Qnet 2000 is able to predict water quality variables of the Karoon River very successfully with more than 90% accuracy.
  B. Karami , K.N. Dhumal , M. Golabi and N. Jaafarzadeh
  The main aim of current study was evaluation relationship between water quality index and physical, chemical and biological parameters of water for management wetland. Because of wetlands are valuable ecosystems that have economic, social, ecological and biological benefits and other values but degradation these natural systems in all round the world are increased. Bamdezh wetland is one of the important wetlands in Khuzestan province, Southwest of Iran. This wetland according to the definition of international Ramsar convention is riverine and palustrine wetland. Water quality of this wetland is fresh water and for purposes of temporal is permanent wetland. Bamdezh wetland has important role to control floodwater and over flow of Dez and Shavoor rivers. In addition, existence vegetation and different species animals show important of management planning for conservation this wetland. Because of importance of Bamdezh wetland, current study was optimization the relation between Water Quality Index (WQI) that has represented by USA National Sanitation Foundation and temperature, biochemical dissolve oxygen (BOD), NO3, PO4, pH, Turbidity, TSS, Coliform, chemical dissolve oxygen (COD) and dissolve oxygen (DO). Results show that relation between water quality index and mention parameters are nonlinear.
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