Evaluation of fertigation scheduling for sugarcane using a vadose zone flow and transport model

Ravikumar, V.; Vijayakumar, G.; Šimůnek, Jiřı́; Chellamuthu, S.; Santhi, R.; Appavu, K.

doi:10.1016/j.agwat.2011.04.012

Cited by 40 publications

(9 citation statements)

References 15 publications

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“…In this study, the denitrification process and the losses in the form of N 2 O-N can be neglected because this reaction occurs mainly under saturated conditions (Ravikumar et al, 2011). The processes of immobilization and mineralization were also neglected, similarly as in many other modeling studies (Ravikumar et al, 2011;Ramos et al, 2012;Tafteh and Sepaskhah, 2012), due to the low clay content in the experimental soil, which is often correlated with these two processes. Ammonia volatilization was neglected due to the fertilizer application with irrigation water (Ramos et al, 2012).…”

Section: Solute Parametersmentioning

confidence: 99%

“…The nitrification rates for reactions in the liquid and solid phases were set to 0.12 and 5.9 d −1 , respectively (Castaldelli et al, 2018). The temperature and water content dependencies of the nitrification process were not considered, similarly as in many other modeling studies (Ravikumar et al, 2011;Ramos et al, 2012;Tafteh and Sepaskhah, 2012;Li et al, 2015aLi et al, , 2015b. This study also assumed that NO 3 -N is present only in the dissolved phase, while ammonium is also adsorbed to the solid phase.…”

Section: Solute Parametersmentioning

confidence: 99%

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Evaluating soil nitrate dynamics in an intercropping dripped ecosystem using HYDRUS-2D

Chen

Šimůnek

et al. 2020

Science of The Total Environment

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Section: Solute Parametersmentioning

confidence: 99%

Section: Solute Parametersmentioning

confidence: 99%

Evaluating soil nitrate dynamics in an intercropping dripped ecosystem using HYDRUS-2D

Chen

Šimůnek

et al. 2020

Science of The Total Environment

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“…Meanwhile, rice prefers ammonium (NH 4 + -N) to nitrate (NO 3 − -N) as a source of N (Ishii et al, 2011), and in the presence of both N species, rice seedlings take up NH 4 + -N faster than NO 3 − -N (Sasakawa and Yamamoto, 1978). However, in order to simplify the model and to limit the number of required parameters, many studies made the common assumption that the root uptake of NH 4 + -N and NO 3 − -N is strictly passive and other uptake mechanisms may be neglected (Hanson et al, 2006;Ravikumar et al, 2011;Ramos et al, 2012). This simplification may significantly affect the modeling of NH 4 + -N uptake and subsequent reactions and N distribution in the soil profile.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D

Šimůnek

Zhang

et al. 2015

Agricultural Water Management

115

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a b s t r a c tNitrogen (N) pollution is a global environmental problem that has greatly increased the risks of both the eutrophication of surface waters and contamination of ground waters. The majority of N pollution mainly comes from agricultural fields, in particular during rice growing seasons. In recent years, a gradual shift from the transplanting rice cultivation method to the direct seeding method has occurred, which results in different water and N losses from paddy fields and leads to distinct impacts on water environments. The N transport and transformations in an experimental direct-seeded-rice (DSR) field in the Taihu Lake Basin of east China were observed during two consecutive seasons, and simulated using Hydrus-1D model. The observed crop N uptake, ammonia volatilization (AV), N concentrations in soil, and N leaching were used to calibrate and validate the model parameters. The two most important inputs of N, i.e., fertilization and mineralization, were considered in the simulations with 220 and 145.5 kg ha −1 in 2008 and 220 and 147.8 kg ha −1 in 2009, respectively. Ammonia volatilization and nitrate denitrification were the two dominant pathways of N loss, accounting for about 16.0% and 38.8% of the total N input (TNI), respectively. Both nitrification and denitrification processes mainly occurred in the root zone. N leaching at 60 and 120 cm depths accounted for about 6.8% and 2.7% of TNI, respectively. The crop N uptake was 32.1% and 30.8% of TNI during the 2008 and 2009 seasons, respectively, and ammonium was the predominant form (74% of the total N uptake on average). Simulated N concentrations and fluxes in soil matched well with the corresponding observed data. Hydrus-1D could simulate the N transport and transformations in the DSR field, and could thus be a good tool for designing optimal fertilizer management practices in the future.

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“…HYDRUS-2D is a hydrologic model that simulates water, heat, and solute movements in 2D and 3D variably saturated porous media [29,30]. HYDRUS-2D has been successfully used to model various solute transports under drip irrigation, such as nitrogen leaching, fertigation, and salt accumulation [31][32][33][34][35]. Previous simulation studies [29,[36][37][38][39][40] showed that HYDRUS-2D simulations of soil water content are in reasonable agreement with measured values.…”

Section: Introductionmentioning

confidence: 76%

Evaluating the Effects of Mulch and Irrigation Amount on Soil Water Distribution and Root Zone Water Balance Using HYDRUS-2D

Han

Zhao

Feng

et al. 2015

Water

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Water scarcity is the most critical constraint for sustainable cotton production in Xinjiang Province, northwest China. Drip irrigation under mulch is a major water-saving irrigation method that has been widely practiced for cotton production in Xinjiang. The performance of such an irrigation system should be evaluated for proper design and management. Therefore, a field experiment and a simulation study were conducted to (1) determine a modeling approach that can be applied to manage drip irrigation under mulch for cotton production in this region; and (2) examine the effects of irrigation amount and mulch on soil water distribution and root zone water balance components. In the experiment, four irrigation treatments were used: T1, 166. 2623T1 to T4, while a lot of stored soil water in the root zone was utilized and a huge amount of water was recharged from the layer below 70 cm to compensate for the decrease in irrigation amount. Mulch significantly reduced evaporation by 11.7 mm and increased root water uptake by 11.2 mm. Our simulation study suggests that this model can be applied to provide assistance in designing drip irrigation systems and developing irrigation strategies.

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Evaluation of fertigation scheduling for sugarcane using a vadose zone flow and transport model

Cited by 40 publications

References 15 publications

Evaluating soil nitrate dynamics in an intercropping dripped ecosystem using HYDRUS-2D

Evaluating soil nitrate dynamics in an intercropping dripped ecosystem using HYDRUS-2D

Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D

Evaluating the Effects of Mulch and Irrigation Amount on Soil Water Distribution and Root Zone Water Balance Using HYDRUS-2D

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