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Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir

Surface flow (SF) and subsurface flow (SSF) are important hydrological processes occurring on slopes, and are driven by two main factors: rainfall intensity and slope gradient. To explore nitrogen (N) migration and loss from sloping farmland in the Miyun Reservoir, the characteristics of total nitro...

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Autores principales: Li, Yan, Jin, Liang, Wu, Jiajun, Shi, Chuanqi, Li, Shuo, Xie, Jianzhi, An, Zhizhuang, Suo, Linna, Ding, Jianli, Wei, Dan, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223478/
https://www.ncbi.nlm.nih.gov/pubmed/37653959
http://dx.doi.org/10.3390/plants12102042
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author Li, Yan
Jin, Liang
Wu, Jiajun
Shi, Chuanqi
Li, Shuo
Xie, Jianzhi
An, Zhizhuang
Suo, Linna
Ding, Jianli
Wei, Dan
Wang, Lei
author_facet Li, Yan
Jin, Liang
Wu, Jiajun
Shi, Chuanqi
Li, Shuo
Xie, Jianzhi
An, Zhizhuang
Suo, Linna
Ding, Jianli
Wei, Dan
Wang, Lei
author_sort Li, Yan
collection PubMed
description Surface flow (SF) and subsurface flow (SSF) are important hydrological processes occurring on slopes, and are driven by two main factors: rainfall intensity and slope gradient. To explore nitrogen (N) migration and loss from sloping farmland in the Miyun Reservoir, the characteristics of total nitrogen (TN) migration and loss via SF and SSF under different rainfall intensities (30, 40, 50, 60, 70, and 80 mm/h) and slope gradients (5°, 10°, and 15°) were studied using indoor stimulated rainfall tests and mathematical models. Nitrogen loss via SF and SSF was found to increase exponentially and linearly with time, respectively, with SSF showing 14–78 times higher loss than SF. Under different rainfall intensities, SSF generally had larger TN loss loading than SF, thereby indicating that SSF was the main route for TN loss. However, the TN loss loading proportion via SF increasing from 14.03% to 35.82% with increasing rainfall intensity is noteworthy. Furthermore, compared with the measurement data, the precision evaluation index Nash-Suttcliffe efficient (NSE) and the determination coefficient (R(2)) of the effective mixing depth model in the numerical simulation of TN loss through SF in the sloping farmland in the Miyun Reservoir were 0.74 and 0.831, respectively, whereas those of the convection-dispersion equation for SSF were 0.81 and 0.811, respectively, thus indicating good simulation results. Therefore, this paper provides a reference for studying the mechanism of N migration and loss in sloping farmland in the Miyun Reservoir.
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spelling pubmed-102234782023-05-28 Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir Li, Yan Jin, Liang Wu, Jiajun Shi, Chuanqi Li, Shuo Xie, Jianzhi An, Zhizhuang Suo, Linna Ding, Jianli Wei, Dan Wang, Lei Plants (Basel) Article Surface flow (SF) and subsurface flow (SSF) are important hydrological processes occurring on slopes, and are driven by two main factors: rainfall intensity and slope gradient. To explore nitrogen (N) migration and loss from sloping farmland in the Miyun Reservoir, the characteristics of total nitrogen (TN) migration and loss via SF and SSF under different rainfall intensities (30, 40, 50, 60, 70, and 80 mm/h) and slope gradients (5°, 10°, and 15°) were studied using indoor stimulated rainfall tests and mathematical models. Nitrogen loss via SF and SSF was found to increase exponentially and linearly with time, respectively, with SSF showing 14–78 times higher loss than SF. Under different rainfall intensities, SSF generally had larger TN loss loading than SF, thereby indicating that SSF was the main route for TN loss. However, the TN loss loading proportion via SF increasing from 14.03% to 35.82% with increasing rainfall intensity is noteworthy. Furthermore, compared with the measurement data, the precision evaluation index Nash-Suttcliffe efficient (NSE) and the determination coefficient (R(2)) of the effective mixing depth model in the numerical simulation of TN loss through SF in the sloping farmland in the Miyun Reservoir were 0.74 and 0.831, respectively, whereas those of the convection-dispersion equation for SSF were 0.81 and 0.811, respectively, thus indicating good simulation results. Therefore, this paper provides a reference for studying the mechanism of N migration and loss in sloping farmland in the Miyun Reservoir. MDPI 2023-05-19 /pmc/articles/PMC10223478/ /pubmed/37653959 http://dx.doi.org/10.3390/plants12102042 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yan
Jin, Liang
Wu, Jiajun
Shi, Chuanqi
Li, Shuo
Xie, Jianzhi
An, Zhizhuang
Suo, Linna
Ding, Jianli
Wei, Dan
Wang, Lei
Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title_full Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title_fullStr Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title_full_unstemmed Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title_short Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
title_sort laws governing nitrogen loss and its numerical simulation in the sloping farmland of the miyun reservoir
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223478/
https://www.ncbi.nlm.nih.gov/pubmed/37653959
http://dx.doi.org/10.3390/plants12102042
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