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  4. Simulation of nitrogen dynamics in lowland polders using a new coupled modelling approach: Insights into management
 
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Simulation of nitrogen dynamics in lowland polders using a new coupled modelling approach: Insights into management

Auteur(s)
Yan, Renhua
Brunner, Philip 
Centre d'hydrogéologie et de géothermie 
Gao, Junfeng
Date de parution
2021-8
In
Journal of Cleaner Production
No
313
De la page
127753
A la page
127772
Revu par les pairs
1
Mots-clés
  • Lowland polders
  • Nitrogen modelling
  • Coupling
  • Paddy fields
  • Sensitivity analysis
  • Lowland polders

  • Nitrogen modelling

  • Coupling

  • Paddy fields

  • Sensitivity analysis

Résumé
A new modelling framework, the Polder Hydrology and Nitrogen modelling System (PHNS), was developed to
simulate the nitrogen dynamics and processes in polder systems. PHNS is a mass-balance model that simulates
water and nitrogen dynamics in soil and surface water systems through integrating the WALRUS-paddy, MUSLE,
and INCA models. The model explicitly considers the interactions among surface water, groundwater, and vadose
water, as well as irrigation, pumping, and fertilizer application, which are the key processes controlling the
nitrogen cycle in polders. The sensitivity analysis, calibration, and validation of the developed model were
conducted in a Chinese agricultural polder by using three years of measured hydro-meteorological data. The
calibrated and validated results proved that the model has a good performance with an R2 of 0.748 and a Nash-
Sutcliffe (NS) efficiency coefficient of 0.619 for total nitrogen (TN) concentration during the validation period.
The nitrogen budget results (net export of 40.4 kg/ha/yr) revealed that the polder is a nitrogen source for
downstream freshwater systems. Reducing the amount of fertilizers, retaining crop residues, and restoring
aquatic plants in surface water are effective countermeasures for reducing nitrogen export from polders. This
study provides an efficient modelling tool and useful insights into polder management.
Identifiants
https://libra.unine.ch/handle/123456789/29462
_
10.1016/j.jclepro.2021.127753
Type de publication
journal article
Dossier(s) à télécharger
 main article: 2021-08-11_110_7538.pdf (5.66 MB)
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