scholarly journals Forecasting of water table fluctuation for Priyadarshini watershed using Ann with different algorithms

2021 ◽  
Vol 10 (4) ◽  
pp. 386-391
Author(s):  
PB Hittanagi ◽  
HN Bhange ◽  
BL Ayare ◽  
MS Mane
2017 ◽  
Vol 31 (19) ◽  
pp. 3437-3451 ◽  
Author(s):  
Azizallah Izady ◽  
Osman A.E. Abdalla ◽  
Ata Joodavi ◽  
Akbar Karimi ◽  
Mingjie Chen ◽  
...  

Author(s):  
Reem Ismail ◽  
Saeid Shafieiyoun ◽  
Riyadh Al Raoush ◽  
Fereidoun Rezanezhad

Most of the prediction theories regarding dissolution of organic contaminants in the subsurface systems have been proposed based on the static water conditions; and the influence of water fluctuations on mass removal requires further investigations. In this study, it was intended to investigate the effects of water table fluctuations on biogeochemical properties of the contaminated soil at the smear zone between the vadose zone and the groundwater table. An automated 60 cm soil column system was developed and connected to a hydrostatic equilibrium reservoir to impose the water regime by using a multi-channel pump. Four homogenized hydrocarbon contaminated soil columns were constructed and two of them were fully saturated and remained under static water conditions while another two columns were operated under water table fluctuations between the soil surface and 40 cm below it. The experiments were run for 150 days and relevant geochemical indicators as well as dissolved phase concentrations were analyzed at 30 and 50 cm below the soil surface in all columns. The results indicated significant difference in terms of biodegradation effectiveness between the smear zones exposed to static and water table fluctuation conditions. This presentation will provide an overview of the experimental approach, mass removal efficiency, and key findings.


Author(s):  
Hamed Nozari ◽  
Abdolmajid Liaghat ◽  
Saeed Azadi ◽  
Azin Poursadri ◽  
Behzad Ghanbarian

Abstract Accurate simulations of wastewater quality and quantity, particularly in saline and semi-arid areas, are important in agricultural water management. In this study a system dynamics (SD) approach was proposed to simulate drainage water and groundwater salinities, water table fluctuation, and drainage discharge at field-scale. The results of the SD approach were compared with results from DRAINMOD-S, a computer simulation model. For model validation, earlier experimental data from two field units were used. The field units each contained three rows of piezometers. During irrigation, daily water table fluctuation, drainage discharge, irrigation and drainage water salinity, and the salinity in each piezometer, were measured. The SD approach simulated these parameters more accurately than DRAINMOD-S for both units.


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