Ferrant, S., Oehler,F., Durand,P., Ruiz,L., Salmon-Monviola,J., Justes,E., Dugast,P., Probst,A., Probst,J.-L. and Sanchez-Perez,J.-M.(2011): Understanding nitrogen transfer dynamics in a small agricultural catchment: Comparison of a distributed (TNT2) and a semi distributed (SWAT) modeling approaches. Journal of Hydrology, 406, 1-15.

『小さな農業集水域における窒素移動ダイナミクスを理解する:分配(TNT2)および半分配(SWAT)モデル化アプローチの比較』


Abstract
 The coupling of an hydrological and a crop model is an efficient approach to study the impact of the interactions between agricultural practices and catchment physical characteristics on stream water quality. We analyzed the consequences of using different modeling approaches of the processes controlling the nitrogen (N) dynamics in a small agricultural catchment monitored for 15 years. Two agro-hydrological models were applied; the fully distributed model TNT2 and the semi-distributed SWAT model. Using the same input dataset, the calibration process aimed at reproducing the same annual water and N balance in both models, to compare the spatial and temporal variability of the main N processes. The models simulated different seasonal cycles for soil N. The main processes involved were N mineralization and denitrification. TNT2 simulated marked seasonal variations with a net increase of mineralization in autumn, after a transient immobilization phase due to the burying of the straw with low C:N ratio. SWAT predicted a steady humus mineralization with an increase when straws are buried and a decrease afterwards. Denitrification was mainly occurring in autumn in TNT2 because of the dynamics of N availability in soil and of the climatic and hydrological conditions. SWAT predicts denitrification in winter, when mineral N is available in soil layers. The spatial distribution of these two processes was different as well: less denitrification in bottom land and close to ditches in TNT2, as a result of N transfer dynamics. Both models simulate correctly global trend and inter-annual variability of N losses in small agricultural catchment when a sufficient amount data is available for calibration. however, N processes and their spatial interactions are simulated very differently, in particular soil mineralization and denitrification. The use of such tools for prediction must be considered with care, unless a proper calibration and validation of the different N processes is carried out.

Keywords: Agriculture; Nitrogen losses; Small catchment modeling』

1. Introduction
2. Material and methods
 2.1. Study site and study period
 2.2. Agricultural practice survey
 2.3. Nitrate concentration and water discharge survey
 2.4. Soil description
 2.5. Model description and applicability
  2.5.1. Rational behind the choice of two models
  2.5.2. Model comparison
 2.6. Input data and calibration
3. Results
 3.1. Hydrology of the catchment
 3.2. Apportionment of N fluxes
 3.3. Spatial and temporal variation of mineralization and denitrification
 3.4. N loads in stream
 3.5. N concentration in the stream
4. Discussion
 4.1. Water discharge and N loads to the stream
 4.2. nitrogen budget at the catchment scale
 4.3. About trends
5. Conclusion
Acknowledgments
References


戻る