NIT-DRAIN model to simulate nitrate concentrations and leaching in a tile-drained agricultural field

Chelil, Samy; Henine, Hocine; Chaumont, Cédric; Tournebize, Julien

doi:10.1016/j.agwat.2022.107798

Cited by 4 publications

(1 citation statement)

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“…According to Cameron and Wild (1982), this accuracy is at a practicable level. Burns model has become relevant and used in many studies on the transport of nitrate and other contaminants deep into the soil profile in various countries, including Belgium (Neve de and Hofman, 1998;Moreels et al, 2003;El-Sadek, 2014), Chile (Matus and Rodriguez, 1994;Salazar et al, 2014), Czech Republic (Haberle et al, 2009Haberle et al, 2018), Denmark (Vogeler et al, 2022), France (Pervanchon et al, 2005;Chelil et al, 2022), Indonesia (Widowati, Neve de, 2016), and New Zealand (Kelliher et al, 2014;Cichota et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Quantification of nitrates leaching from grassland soils in winter using the Burns model

Pietrzak,

Urbaniak

2024

Journal of Water and Land Development

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This paper presents the results of a study on the level of nitrate leaching from the 0–30 cm layer of grassland (GL) soil in the Lublin Voivodship during the winters of 2018/2019, 2019/2020 and 2020/2021. The amounts of leached nitrates were determined using the Burns model. For the calculations based on this model – directly and indirectly, the results determination of residual nitrate nitrogen, texture and organic matter in GL soils, obtained within the framework of agricultural monitoring of soils by the National Chemical and Agricultural Station (KSChR), and results of system meteorological measurements conducted by the Institute of Meteorology and Water Management – National Research Institute (IMGW-PIB) were used. The analysed soil samples were taken from 39 permanent control and measurement grassland sites. The research discovered in particular that: – the average leaching of nitrate nitrogen from GL mineral soil in the three analysed periods was 16.2 and 5.1 kg N∙ha–1 from organic soil; – on average, in autumn during the entire study period, 55.3% of NO3-N leached from the 0–30 cm layer of GL mineral soil, and 27.3% from organic soil; – among different agronomic categories of mineral soil, the highest leaching of NO3-N was recorded from medium soil (17.4 kg N∙ha–1) and the lowest from heavy soil (11.5 kg N∙ha–1); – individually determined values of NO3-N leaching from soil varied significantly from 0 to 68.5 kg N∙ha–1 for mineral soil and from 0.1 to 23.65 kg N∙ha–1 for organic soil.

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Section: Introductionmentioning

confidence: 99%

Quantification of nitrates leaching from grassland soils in winter using the Burns model

Pietrzak,

Urbaniak

2024

Journal of Water and Land Development

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An Extensive Review of Leaching Models for the Forecasting and Integrated Management of Surface and Groundwater Quality

Giakoumatos,

Siontorou,

Sidiras

2024

Water

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The present study reviews leachate models useful for proactive and rehab actions to safeguard surface and subsurface soft water, which have become even more scarce. Integrated management plans of water basins are of crucial importance since intensively cultivated areas are adding huge quantities of fertilizers to the soil, affecting surface water basins and groundwater. Aquifers are progressively being nitrified on account of the nitrogen-based fertilizer surplus, rendering water for human consumption not potable. Well-tested solute leaching models, standalone or part of a model package, provide rapid site-specific estimates of the leaching potential of chemical agents, mostly nitrates, below the root zone of crops and the impact of leaching toward groundwater. Most of the models examined were process-based or conceptual approaches. Nonetheless, empirical prediction models, though rather simplistic and therefore not preferrable, demonstrate certain advantages, such as less demanding extensive calibration database information requirements, which in many cases are unavailable, not to mention a stochastic approach and the involvement of artificial intelligence (AI). Models were categorized according to the porous medium and agents to be monitored. Integrated packages of nutrient models are irreplaceable elements for extensive catchments to monitor the terrestrial nitrogen-balanced cycle and to contribute to policy making as regards soft water management.

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Migration of biogenic substances through the aeration zone

LITVINAITIS,

BAGDŽIŪNAITĖ-LITVINAITIENĖ

2023

The 12th International Conference ENVIRONMENTAL ENGINEERING 12th ICEE SELECTED PAPERS

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The article presents the migration of biogenic substances in the aeration zones of different sedimentary riverbanks. Sand and loam sediments in Lithuanian river basins are studied, and experimental research is carried out under natural conditions by increasing the loads of biogenic substances. The modeling was performed using the modeling program CHMFLO-2000. It was established that the transport of total nitrogen by the river water is formed by the amounts of nitrates, which make up 92–97% of the total transport in individual seasons. Nitrates account for 15–23% of the total nitrogen transport through sediment surface and groundwater runoff. The regularities of vertical and horizontal migration of biogenic substances have been established and defined. The suitability of the modeling program CHEMFLO-2000 for modeling the transport processes of ammonium ions, nitrates and nitrites by underground runoff on the banks of Lithuanian rivers has been confirmed, the applicable constants for modeling have been provided.

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NIT-DRAIN model to simulate nitrate concentrations and leaching in a tile-drained agricultural field

Cited by 4 publications

References 80 publications

Quantification of nitrates leaching from grassland soils in winter using the Burns model

Quantification of nitrates leaching from grassland soils in winter using the Burns model

An Extensive Review of Leaching Models for the Forecasting and Integrated Management of Surface and Groundwater Quality

Migration of biogenic substances through the aeration zone

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