Field-evaluation of DRAINMOD-S for predicting soil and drainage water salinity under semi-arid conditions in Turkey

Kale, Sema

doi:10.5424/sjar/20110904-395-10

Cited by 11 publications

(13 citation statements)

References 15 publications

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“…The differences between simulated and measured losses of nitrate-N generally increased from the first to the third growing seasons. The minimum and maximum differences between measured and simulated seasonal nitrate-N losses were 0.6 (D0.90L30) and 54.5 (D0.65L15) kg ha is supported by some previous studies (Cooke et al, 2002;Burchell, 2003;Yoon et al, 2006;Kale, 2011). Shallower drains were generally more effective in removing excess water while having more negative environmental effects from the viewpoint of nitrate loss.…”

Section: T a B L E I I Isupporting

confidence: 74%

Assessing water and nitrate‐N losses from subsurface‐drained paddy lands by DRAINMOD‐N II

Hashemi

Darzi‐Naftchali

2020

Irrigation and Drainage

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In this study, the effects of various drainage systems on water and nitrate-N losses were investigated using DRAINMOD-N II. Required field data were obtained during three growing seasons of canola in a subsurface drainage pilot in Mazandaran Province, northern Iran. The calibrated model was used to assess the effects of different drain depths (D = 0.10-0.90 m with 0.10 m intervals) and spacing (L = 10-90 m with 10 m intervals) on seasonal drainage water and NO 3 −-N concentration in drainage effluents. DRAINMOD-N II performance was assessed using different criteria including absolute deviation (AD), root mean square error (RMSE) and determination coefficient (R 2). The simulated and observed drainage discharges (0.97 vs 0.96 mm day −1) and NO 3-N concentrations (9.1 vs 14.1 mg l −1) were in good agreement in the calibration process. The model performance was also acceptable in the validation process (AD = 0.59-0.79 mm day −1 ; RMSE = 1.01-1.28 mm day −1 ; R 2 = 0.59-0.79 for drainage discharge and AD = 8.3-16.3 mg l −1 ; RMSE = 12.4-27.6 mg l −1 ; R 2 = 0.4 for NO 3-N). Based on the scenario analyses, the D0.40L50 drainage system was the best one, resulting in fewer environmental effects from the nitrate-N and water loss viewpoints.

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Section: T a B L E I I Isupporting

confidence: 74%

Assessing water and nitrate‐N losses from subsurface‐drained paddy lands by DRAINMOD‐N II

Hashemi

Darzi‐Naftchali

2020

Irrigation and Drainage

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“…Drainmod (Ver. 6.1) computer model was performed with optimum drainage design parameters which were obtained from previous project carried out on experimental area to illustrate well drained soil conditions (Kale, 2011). Forty different soil sampling locations were coordinated in 1350 ha study area.…”

Section: Methodsmentioning

confidence: 99%

“…The salinity option includes sections to enter the dispersion coefficients, precipitation limit of salt, soil depth use to calculate average salinity for crop yield, initial salt concentration in the profile and additional output options. Model calibration and validation had been implemented for semi arid conditions in Turkey (Kale, 2011).…”

Section: Meteorological Datamentioning

confidence: 99%

“…Drainage system input parameters required for simulation include the depth from the soil surface to drain, drain spacing, drainage coefficient, the effective radius of the drains used and the depth of the impermeable layer. Field studies had been carried out for obtaining optimum drainage design parameters under semi arid regions (Kale, 2011). This data set was used as an input for this study which was given in Table 4.…”

Section: Drainage System Parametersmentioning

confidence: 99%

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Impact of drained and un-drained soil conditions on water table depths, soil salinity and crop yields

Kale

2012

Afr. J. Agric. Res.

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The purpose of this study was to determine the comparison of salt accumulation in soil profile and crop yields under drained and un-drained conditions. Current field conditions were used to represent poorly drained conditions where drainage system was not installed yet. Simulations were performed to illustrate well drained condition using the water management simulation model while controlling soil salinity in root zone. To put forward drainage system impacts; soil salinity and relative crop yields for well drained conditions were compared to poorly drained conditions. Soil, crop and site parameters were obtained from coordinated 40 soil sampling locations where dry bean, winter wheat and fallow crop rotations were applied. Results of the study showed that water table decreased rapidly after installing proper drainage system. Percentage of salt decreases in soil profile occurred by 24.1, 37.9 and 14.4% for wheat, bean and fallow locations respectively with adequate drainage conditions. On the drained soils, the relative yield of the winter wheat was higher by 11.2%, on the average, whereas that of bean was higher by 24.7%. Overall the net impact of yield enhancement due to drainage was about 36%. This shows the positive impact of drainage system on crop yields in this area.

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“…The main input data parameters required by the DRAINMOD-S model include weather information, drainage design parameters, soil properties, crop variables and salinity data (Kale, 2011). Weather inputs are hourly precipitation amounts, daily maximum and minimum temperatures, latitude, heat index and PET factors.…”

Section: Model Datamentioning

confidence: 99%

Evaluating Drainmod‐s to Predict Drainage Water Salinity and Groundwater Table Depth During Winter Cropping in Heavy‐Textured Paddy Soils

Davoodi

Darzi‐Naftchali

Aghajani‐Mazandarani

2019

Irrigation and Drainage

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Simulation models can quickly and cost‐effectively describe various aspects of management practices in newly reclaimed agricultural soils. In this research, the capability of the DRAINMOD‐S model was evaluated to predict the salinity of the subsurface drainage effluents in a newly subsurface drained paddy field during winter cropping. Measurements of groundwater table depths and drainage water salinity were taken in three conventional subsurface drainage systems at the Sari Agricultural Sciences and Natural Resources University, northern Iran, during three canola growing seasons (2011–2012, 2015–2016 and 2016–2017). The data were used to calibrate and validate the model. The model provided better predictions of groundwater table depths in shallower drainage systems. Measured and simulated drainage water salinities varied, respectively, from 620 to 1580 and 790–1430 mg l−1 in the calibration process and from 441 to 1640 and 656–1820 mg l−1 in the validation process. The differences between measured and simulated salt loads were in the range of 59–174 and 43–586 kg ha−1 in calibration and validation, respectively. The results indicated that DRAINMOD‐S can be used as a management tool to diminish environmental issues in heavy paddy soils from the viewpoint of salt load. © 2019 John Wiley & Sons, Ltd.

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Field-evaluation of DRAINMOD-S for predicting soil and drainage water salinity under semi-arid conditions in Turkey

Cited by 11 publications

References 15 publications

Assessing water and nitrate‐N losses from subsurface‐drained paddy lands by DRAINMOD‐N II

Assessing water and nitrate‐N losses from subsurface‐drained paddy lands by DRAINMOD‐N II

Impact of drained and un-drained soil conditions on water table depths, soil salinity and crop yields

Evaluating Drainmod‐s to Predict Drainage Water Salinity and Groundwater Table Depth During Winter Cropping in Heavy‐Textured Paddy Soils

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