Different modelling approaches to evaluate nitrogen transport and turnover at the watershed scale

被引:21
作者
Miren Epelde, Ane [1 ]
Antiguedad, Inaki [1 ]
Brito, David [2 ]
Jauch, Eduardo [2 ]
Neves, Ramiro [2 ]
Garneau, Cyril [3 ,4 ,5 ]
Sauvage, Sabine [4 ,5 ]
Sanchez-Perez, Jose Miguel [4 ,5 ]
机构
[1] Univ Basque Country UPV EHU, Hydrol & Environm Grp, Dept Geodynam, Leioa 48940, Basque Country, Spain
[2] Univ Lisbon, Inst Super Tecn, MARETEC, Av Rovisco Pais, P-1049001 Lisbon, Portugal
[3] Univ Laval, Dept Genie Civil & Genie Eaux, ModelEAU, 1065 Av Med, Quebec City, PQ G1V 0A6, Canada
[4] Univ Toulouse, INPT, UPS, Lab Ecol Fonct & Environm EcoLab, Ave Agrobiopole, F-31326 Castanet Tolosan, France
[5] CNRS, EcoLab, F-31326 Castanet Tolosan, France
关键词
SWAT; MOHID; Numerical model; Nitrate pollution; Denitrification; LAND-USE CHANGE; HYDROLOGICAL MODEL; HYDRAULIC CONDUCTIVITY; ASSESSMENT-TOOL; HIGH-FREQUENCY; RIVER-BASIN; CATCHMENT; SWAT; SOIL; DENITRIFICATION;
D O I
10.1016/j.jhydrol.2016.05.066
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study presents the simulation of hydrological processes and nutrient transport and turnover processes using two integrated numerical models: Soil and Water Assessment Tool (SWAT) (Arnold et al., 1998), an empirical and semi-distributed numerical model; and Modelo Hidrodinamico (MOHID) (Neves, 1985), a physics-based and fully distributed numerical model. This work shows that both models reproduce satisfactorily water and nitrate exportation at the watershed scale at annual and daily basis, MOHID providing slightly better results. At the watershed scale, both SWAT and MOHID simulated similarly and satisfactorily the denitrification amount. However, as MOHID numerical model was the only one able to reproduce adequately the spatial variation of the soil hydrological conditions and water table level fluctuation, it proved to be the only model able of reproducing the spatial variation of the nutrient cycling processes that are dependent to the soil hydrological conditions such as the denitrification process. This evidences the strength of the fully distributed and physics-based models to simulate the spatial variability of nutrient cycling processes that are dependent to the hydrological conditions of the soils. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:478 / 494
页数:17
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