Simulation of Soil Salinity using DRAINMOD-S Model under Subsurface Drainage System in Arid and Semi-arid Regions of Punjab, India

2021 ◽  
Vol 58 (1) ◽  
pp. 73-89
Author(s):  
Poonam Kiran ◽  
J. P. Singh
Keyword(s):  
Soil Salinity ◽  
Root Zone ◽  
Drainage System ◽  
Subsurface Drainage ◽  
Coefficient Of Determination ◽  
Model Parameters ◽  
Drain Spacing ◽  
Zone Depth ◽  
S Model ◽  
Semi Arid

Water management simulation model DRAINMOD-S was calibrated (1995-96) and validated (1997) using 3-year experimental field data (1995-1997) from the installed subsurface drainage system at 1.8 m drain depth with 40, 60, and 80 m drain spacing at Golewala watershed, Faridkot, Punjab, India. Sensitivity analysis of the model parameters revealed that lateral saturated hydraulic conductivity, drain depth, and drain spacing are the most effective parameters in changing the model output. The root means square error, efficiency, and coefficient of determination between observed and simulated soil salinity ranged from 0.01to 0.06 dS.m-1, 0.647 to 0.834 dS.m-1, and 0.957 to 0.999 dS.m-1 for three drain spacings (40, 60, and 80 m), respectively, during calibration and validation period. The calibrated and validated model was used to predict the soil salinity (EC) for five consecutive years (1998-2003). The average soil salinity of root zone (300-600 mm), (600-900 mm), and (900-1200 mm) decreased from January 1998 to December 2003. The predicted values of soil salinity were found to decrease from 2.23, 2.34, and 1.92 dS.m-1 to 1.68 dS.m-1, 1.70, and 1.42 dS.m-1 for 40 m drain spacing at root zone depth of 300-600 mm, 600-900 mm, and 900-1200 mm, respectively. Similarly, the salinity values for the same period and root zone depth were found to decrease from 2.20, 2.31, and 1.90 dS.m-1 to 1.75,1.78, and 1.74 dS.m-1 for 60 m drain spacing; and 2.21, 2.31, and 1.93 dS.m-1 to 1.80,1.82, and 1.48 dS.m-1 for 80 m drain spacing, respectively, at the end of five years. DRAINMOD-S model was reliably applicable for predicting soil salinity under sub-surface drainage system in arid and semi-arid region of Punjab, India

scholarly journals Evaluation of Parallel Pipe Subsurface Drainage System in a Waterlogged Paddy Field

2021 ◽  
Vol 108 (March) ◽  
pp. 1-7
Author(s):  
Kathirvel L ◽  
◽  
Manikandan M ◽  
Raviraj A ◽  
Baskar M ◽  
...  
Keyword(s):  
Groundwater Level ◽  
Paddy Field ◽  
Tamil Nadu ◽  
Root Zone ◽  
Soil Depth ◽  
Water Discharge ◽  
Drainage System ◽  
Subsurface Drainage ◽  
Drain Pipe ◽  
Drain Spacing

Inadequate natural drainage facilities and flat lands causes, some of the Cauvery river basin command are suffering waterlogging and alkalinity problems during the canal water supply and period of excess rainfall. Subsurface drainage system is the method to lower the depth to groundwater level below the root zone and creates a favorable environment for crop growth. A study aimed to evaluate the performance of the parallel pipe subsurface system installed in farmers’ field at Sembari village, Lalgudi Taluk, Trichy District, Tamil Nadu in a waterlogged paddy field from October 2020 to February 2021. The field experiment was conducted with the combination of three lateral drain spacing (7.5, 10.0 and 12.5 m) and two drain depths (60 and 80 cm). 63 mm PVC perforated pipes wrapped with coir envelope were laid as lateral drains at a grade 0.3%. Inspection chambers connected with collector drains laid at a grade of 0.6% were used to measure the drain water discharge, observation wells installed midway between lateral pipes drains were used for measuring the depth to groundwater level. Hydraulic properties of soil, depth to water level, discharge collected in drain pipe were used as evaluation parameters. This study revealed that soil hydraulic conductivity had been increased to 30%, pH, EC and ESP has been reduced to 12, 54 and 20%, respectively. The system has performed well to alleviate the waterlogged condition in 7.5 m lateral drain spacing and 80 cm drain depth treatment by observing the higher rate of decrease in depth to water of 0.3 to 0.4 m and a drainage coefficient of 0.069 to 0.29 cm/day.

scholarly journals Calibration of DRAINMOD for prediction of water table depths and drain discharges under waterlogged Vertisols of Maharashtra, India

2019 ◽  
Vol 11 (3) ◽  
pp. 724-731
Author(s):  
Shrimant Rathod ◽  
Sudhir Dahiwalkar ◽  
Sunil Gorantiwar ◽  
Mukund Shinde
Keyword(s):  
Water Table ◽  
Agricultural Research ◽  
Drainage System ◽  
Subsurface Drainage ◽  
Design Parameters ◽  
Design System ◽  
Research Station ◽  
Drain Spacing ◽  
Drainage Design ◽  
Rainy Days

An estimation of optimal design parameters of subsurface drainage system through monitoring of water table depths and drain discharges are expensive in terms of time and money. The simulation modeling is an effective tool for estimation of drainage design parameters at less cost and short time. In view to this, calibration of DRAINMOD model for prediction of water table depths and drain discharges were conducted by installing subsurface drainage system with 40 m drain spacing and 1.0 m drain depth at Agricultural Research Station, Kasbe Digraj, Dist. Sangli (Maharashtra) during 2012-13 to 2013-14. The field data on water table depth and drain discharge were used for calibration of DRAINMOD model. The input data files on climatic, soil, crop and drainage design system parameters were attached to DRAINMOD model and calibrated successfully. It is found that both observed and simulated water table depths and drain discharges showed a fluctuating trend and predicted both water table depths and drain discharges closely with the observed values during frequent rainy days and following the rainy days. The DRAINMOD model reliably predicted water table depths with a goodness of fit (R2 = 0.97), MAE (12.23 cm), RMSE (15.49 cm) and CRM (0.05); drain discharges with R2 of  0.93, MAE of 0.095 mm day-1, RMSE of 0.1876 mm day-1and CRM of 0.04. Thus, the calibrated DRAINMOD model can be used to simulate the water table depths and drain discharges in semi-arid climatic conditions of Maharashtra and in turn to estimate and evaluate drain spacing and depth.

Geostatistical Analysis of Soil Salinity Improvement with Subsurface Drainage System

1995 ◽  
Vol 38 (5) ◽  
pp. 1427-1433 ◽  
Author(s):  
O. P. Agrawal ◽  
K. V. G. K. Rao ◽  
H. S. Chauhan ◽  
M. K. Khandelwal
Keyword(s):  
Soil Salinity ◽  
Drainage System ◽  
Subsurface Drainage ◽  
Geostatistical Analysis

scholarly journals Field Evaluation of Unsteady Drain Spacing Equations for Optimal Design of Subsurface Drainage System under Waterlogged Vertisols of Maharashtra

2020 ◽  
Author(s):  
S. D. Rathod ◽  
S. D. Dahiwalkar ◽  
S. D. Gorantiwar ◽  
M. G. Gorantiwar
Keyword(s):  
Optimal Design ◽  
Field Experiment ◽  
Water Table ◽  
Agricultural Research ◽  
Drainage System ◽  
Field Evaluation ◽  
Depth Estimation ◽  
Subsurface Drainage ◽  
Research Station ◽  
Drain Spacing

The field experiment was conducted at Agricultural Research Station, Kasbe Digraj, Dist. Sangli during Adsali sugarcane season of 2012-13 to 2013-14. The experiment was conducted by installing subsurface drainage system with 10, 20, 30 and 40 m drain spacing and 1 m drain depth. In view of different costs and effectiveness of subsurface drainage associated with the varying depths and spacings, field evaluation of unsteady drain spacing equations was important for finding out the optimal drain spacing equation among various equations. The field evaluation of unsteady drain spacing equations revealed that the van Schilfgaarde, Hammad, Modified Glover, Guyon and Integrated Hooghoudt’s equation performed satisfactory for estimation of water table depths among seven unsteady drain spacing equations. The Glover-Dumm and Modified Glover-Dumm’s equations were not performed satisfactory for estimation of water table depths. Among unsteady drain spacing equations, van Schilfgaarde’s equation performed better and hence recommended for water table depth estimation and in turn for optimal design of subsurface drainage system under waterlogged Vertisols of Maharashtra.

Ferrihydrite dissolution at the root zone of crops under semi-arid condition controls the plant uptake of uranium and arsenic

2020 ◽  
Author(s):  
Arindam Malakar ◽  
Michael Kaiser ◽  
Daniel D. Snow ◽  
Harkamal Walia ◽  
Chittaranjan Ray
Keyword(s):  
Plant Uptake ◽  
Root Zone ◽  
Arid Condition ◽  
Semi Arid

scholarly journals Modelling the Impact on Root Water Uptake and Solute Return Flow of Different Drip Irrigation Regimes with Brackish Water

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 425 ◽  
Author(s):  
Fairouz Slama ◽  
Nessrine Zemni ◽  
Fethi Bouksila ◽  
Roberto De Mascellis ◽  
Rachida Bouhlila
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Uptake ◽  
Brackish Water ◽  
Deficit Irrigation ◽  
Root Zone ◽  
Root Water Uptake ◽  
Return Flows ◽  
Semi Arid

Water scarcity and quality degradation represent real threats to economic, social, and environmental development of arid and semi-arid regions. Drip irrigation associated to Deficit Irrigation (DI) has been investigated as a water saving technique. Yet its environmental impacts on soil and groundwater need to be gone into in depth especially when using brackish irrigation water. Soil water content and salinity were monitored in a fully drip irrigated potato plot with brackish water (4.45 dSm−1) in semi-arid Tunisia. The HYDRUS-1D model was used to investigate the effects of different irrigation regimes (deficit irrigation (T1R, 70% ETc), full irrigation (T2R, 100% ETc), and farmer’s schedule (T3R, 237% ETc) on root water uptake, root zone salinity, and solute return flows to groundwater. The simulated values of soil water content (θ) and electrical conductivity of soil solution (ECsw) were in good agreement with the observation values, as indicated by mean RMSE values (≤0.008 m3·m−3, and ≤0.28 dSm−1 for soil water content and ECsw respectively). The results of the different simulation treatments showed that relative yield accounted for 54%, 70%, and 85.5% of the potential maximal value when both water and solute stress were considered for deficit, full. and farmer’s irrigation, respectively. Root zone salinity was the lowest and root water uptake was the same with and without solute stress for the treatment corresponding to the farmer’s irrigation schedule (273% ETc). Solute return flows reaching the groundwater were the highest for T3R after two subsequent rainfall seasons. Beyond the water efficiency of DI with brackish water, long term studies need to focus on its impact on soil and groundwater salinization risks under changing climate conditions.

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