TY - JOUR
T1 - Problems with heterogeneity in physically based agricultural catchment models
AU - Hansen, Jeppe Rølmer
AU - Refsgaard, Jens Christian
AU - Hansen, Søren
AU - Ernstsen, Vibeke
N1 - Funding Information:
The present work was part of a Ph.D. study funded by The Geological Survey of Denmark and Greeenland (GEUS) and The International Research School in Water Resources (FIVA) (Denmark). We thank Peter van der Keur (GEUS) and Merete Styczen and Robert Nøddebo Poulsen both at (DHI Water & Environment).
PY - 2007/8/15
Y1 - 2007/8/15
N2 - Lumped conceptual rainfall-runoff models and physically based distributed models are being used successfully for simulating daily discharge at catchment scale. Physically based models are more desirable for simulation of the fate of agrochemicals (e.g. nitrate) because they rely on physical equations for flow and transport. The literature shows that the average response (e.g. percolation and leaching) at field scale can be simulated successfully by using effective or standard values in the parameterisation of these models. However, in areas characterised by a high degree of spatial variability the physically based models sometimes fail to simulate the discharge dynamics at catchment scale properly possibly due to the lack of representation of sub-grid variability. This paper presents an agricultural physically based distributed model concept which included 3561 combinations of root zone simulations of percolation and leaching that was distributed within a 622 km
2 catchment according to land use, climate, soil types, etc. This was thought to account for all heterogeneity within the catchment but did not. It was shown that a much simpler model with less than 100 combinations of root zone calculations partially including important variability at the catchment scale could simulate discharge equally well and in some cases better than the complex one. The most important parameter heterogeneity to include in the conceptualisation step apparently was sub-grid variation of soil physical parameters and variability of crop growth. The variation of crop growth was forced by restricting the rooting depth which potentially lumped other heterogeneities into this property. The results also suggest that the groundwater table that constitutes the lower boundary condition in the unsaturated zone is another important factor. However, this was difficult to examine because of the modelling approach that did not feature feedback from the saturated to the unsaturated zone. A list of the most important parameter heterogeneity to be included in the conceptualisation steps of future catchment model studies was suggested. It is postulated that such a model would not imply more calculations than the original model but improve the discharge predictions significantly.
AB - Lumped conceptual rainfall-runoff models and physically based distributed models are being used successfully for simulating daily discharge at catchment scale. Physically based models are more desirable for simulation of the fate of agrochemicals (e.g. nitrate) because they rely on physical equations for flow and transport. The literature shows that the average response (e.g. percolation and leaching) at field scale can be simulated successfully by using effective or standard values in the parameterisation of these models. However, in areas characterised by a high degree of spatial variability the physically based models sometimes fail to simulate the discharge dynamics at catchment scale properly possibly due to the lack of representation of sub-grid variability. This paper presents an agricultural physically based distributed model concept which included 3561 combinations of root zone simulations of percolation and leaching that was distributed within a 622 km
2 catchment according to land use, climate, soil types, etc. This was thought to account for all heterogeneity within the catchment but did not. It was shown that a much simpler model with less than 100 combinations of root zone calculations partially including important variability at the catchment scale could simulate discharge equally well and in some cases better than the complex one. The most important parameter heterogeneity to include in the conceptualisation step apparently was sub-grid variation of soil physical parameters and variability of crop growth. The variation of crop growth was forced by restricting the rooting depth which potentially lumped other heterogeneities into this property. The results also suggest that the groundwater table that constitutes the lower boundary condition in the unsaturated zone is another important factor. However, this was difficult to examine because of the modelling approach that did not feature feedback from the saturated to the unsaturated zone. A list of the most important parameter heterogeneity to be included in the conceptualisation steps of future catchment model studies was suggested. It is postulated that such a model would not imply more calculations than the original model but improve the discharge predictions significantly.
KW - Catchment scale
KW - Distributed modelling
KW - Heterogeneity
KW - Physically based
KW - Sub-grid
KW - DK-model
UR - http://www.scopus.com/inward/record.url?scp=34447579946&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2007.04.016
DO - 10.1016/j.jhydrol.2007.04.016
M3 - Article
SN - 0022-1694
VL - 342
SP - 1
EP - 16
JO - Journal of Hydrology
JF - Journal of Hydrology
IS - 1-2
ER -