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

Abstract

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.

Formation and evolution of soil salinization based on multivariate statistical methods in Ningxia Plain, China

“…Saline soils are prevalent globally, particularly in arid and semi-arid regions where shallow groundwater evaporation is the dominant factor in soil salinization (Chandio et al, 2013). Moreover, soil salinization in arid areas is influenced by the shallow groundwater level and rapid fluctuation (Ibrahimi et al, 2014), groundwater abstraction (McCallum et al, 2013), and the irrigation of farmland (Chen et al, 2020) and drainage water (Davoodi et al, 2019), which indirectly affects the process of soil salinization. Effective management of groundwater and surface water has been found to be a key approach for reducing soil salinization (Machado and Serralheiro, 2017;Li et al, 2018;Yu et al, 2021).…”

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

“…Computational hydrologic modeling platforms, e.g. DRAINMOD [60], have been widely used to predict salinity of drainage water used in irrigation [61]. A number of numerical models and finite element analyses have also been used for salinity prediction, e.g., SUTRA, RMA-10 [62].…”

Management and reclamation of salt-affected soils: general assessment and experiences in the Brazilian semiarid region

“…According to Bahçeci and Nacar (2009), in studies in southeastern Turkey, the use of drainage promoted an 80% reduction in salinity in the 0-20 cm layer of the soil. Davoodi, Darzi-Naftchali and Aghajani-Mazandarani (2019), in studies in northern Iran, observed the removal of up to 586 kg ha -1 of salts in subsurface drainage systems. A study conducted in the Curu-Pentecoste Irrigated Perimeter, Ceará, associating the installation of subsurface drainage with management practices (subsoiling and use of soil conditioners), demonstrated the reclamation of a saline-sodic soil, reduction of waterlogging problems, and the improvement in the growth of coconut trees (SOUSAet al, 2011(SOUSAet al, , 2014 (Figure 2).…”