Paul Quinn

TL;DR: In this paper, the authors examined some of the problems of deriving flow pathways from raster digital terrain data in the context of hydrological predictions using TOPMODEL and proposed a strategy for the case where downslope subsurface flow pathways may deviate from those indicated by the surface topography.

TL;DR: In this paper, a number of digital terrain analysis (DTA) methods are described for use in calculating the TOPMODEL topographic index, ln(a/tan beta) (a = upslope contributing area per unit contour; tan beta = local slope angle).

TL;DR: In this paper, a combined critical source area and flow accumulation model is described that predicts the spatial distribution in the risk of diffuse nutrient losses from agricultural fields reaching surface waters, and the model is applied to a number of agricultural fields under a range of different land management scenarios.

TL;DR: In this article, a simple patch scale SVAT model still permits too many degrees of freedom in terms of fitting the model predictions to calibration or validation data; it is shown that good model fits may be achieved in many areas of the parameter space.

TL;DR: The TOPMODEL as discussed by the authors model aims to predict the nature of variable source areas in a way that reflects their dynamics over space and time, and is applied to the catchments of Plynlimon, mid-Wales for 1984, 1985 and 1986 data sets.