2019
DOI: 10.1007/s00271-019-00627-5
|View full text |Cite
|
Sign up to set email alerts
|

Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(4 citation statements)
references
References 35 publications
1
3
0
Order By: Relevance
“…In addition, the values of the model evaluation indicators in simulating soil water content using optimized parameter values are presented in Table 2. The optimum values of the parameters are within the common ranges reported in previous studies (Ebrahimian et al, 2013;Ranjbar et al, 2019). The values of and other evaluation indicators for the calibration stage are reasonable.…”
Section: Calibration Hydrus-2dsupporting
confidence: 80%
“…In addition, the values of the model evaluation indicators in simulating soil water content using optimized parameter values are presented in Table 2. The optimum values of the parameters are within the common ranges reported in previous studies (Ebrahimian et al, 2013;Ranjbar et al, 2019). The values of and other evaluation indicators for the calibration stage are reasonable.…”
Section: Calibration Hydrus-2dsupporting
confidence: 80%
“…However, PFM systems cause changes in the boundary conditions between the soil and atmosphere, which adds a level of difficulty to the process of quantifying N losses. To address this problem, modelling is used as a major research approach to study the process of nitrogen, especially Hydrus-2D (Ranjbar et al, 2019;Iqbal et al, 2016), and its application in saline soil ( Šimůnek et al, 1999). Hydrus-2D has successfully simulated the process of nitrogen transportation and transformation (Shafeeq et al, 2020;Ranjbar et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…To address this problem, modelling is used as a major research approach to study the process of nitrogen, especially Hydrus-2D (Ranjbar et al, 2019;Iqbal et al, 2016), and its application in saline soil ( Šimůnek et al, 1999). Hydrus-2D has successfully simulated the process of nitrogen transportation and transformation (Shafeeq et al, 2020;Ranjbar et al, 2019). Simulation results by Hydrus-2D have indicated that N losses cause groundwater pollution, due to nitrate leaching from the root zone (Shafeeq et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Although these models can be used to assess the influence of water and nutrient management on crop yield and resource use efficiency, they also have their disadvantages. For example, HYDRUS does not have a detailed crop growth module [29], which means that it cannot be used to explain the complex exchange of the seasonal N between crop and soil [30]. The nutrient model ANIMO and RZWQM, on the other hand, can simulate the effect of N loss but require many parameters that are difficult to measure in the field [31,32].…”
Section: Introductionmentioning
confidence: 99%