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Chemical modelling on the bare rock or forested watershed scale
Author(s) -
BASSETT R. L.
Publication year - 1997
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/(sici)1099-1085(199706)11:7<695::aid-hyp523>3.0.co;2-6
Subject(s) - watershed , weathering , water balance , hydrology (agriculture) , environmental science , drainage basin , scale (ratio) , catchment hydrology , streams , experimental forest , geology , ecology , geomorphology , computer science , geography , computer network , geotechnical engineering , cartography , machine learning , biology
The simulation of weathering, solute distribution or acidification at the catchment scale is predominantly done with either a mass balance or process level model. The former redistributes total elemental concentrations between known points with measured total concentration, but does not explicitly include catchment hydrology. The latter includes compartmental hydrological models and detailed descriptions of spatially averaged chemical reactions. Interestingly, the model applications tend towards hydrologically different watershed structures: mass balance modelling favours bare rock watersheds similar to the Apache Leap Research Site, whereas process level models are applied most often to forested watersheds, among which the Hubbard Brook Experimental Forest is an example. Although constrained either by mineral or water compositions on the one hand, or calibrated against stream or lake water chemistry on the other, both approaches basically fit parameters to the geochemical circumstances of the specific watershed of interest. Limited success is attained if the hydrological conditions remain within the circumstances of the parameter fitting. The principal differences in model formulation and approach to mass balance modelling are discussed. Without advancements in model calibration and rigorous model testing, and the development of methods for optimizing the important reactions and pathways, the transportability of models between watersheds or the simulation of extreme events will continue to be inadequate. © 1997 John Wiley & Sons, Ltd.