Civil and Environmental Engineering, Imperial College London
Doi
Abstract
Recent floods in the UK have focused attention on the effects of rural land use and land
management change on flood risk. Over recent decades agricultural intensification has been
widespread across the uplands of the UK, with increases in stocking density, ploughing, reseeding
and drainage of fields, use of heavy machinery, and the removal of trees from the landscape. A key
scientific question is whether or not these changes in land use and land management in the uplands
are increasing flood frequency and magnitude. Although land use and land management changes
have been observed to change local surface runoff, attempts to isolate these responses at the
catchment scale have failed due to limitations of data sets and modelling capability. While
hydrological modelling is a well advanced field of science, a key methodological challenge that
remains is how to upscale information about local scale changes.
This Thesis evaluates the role of physics based hydrological models for upscaling local scale
hydrological process knowledge and data to catchment scale flood flow responses. A model
upscaling procedure that aims to quantify the changes in peak flows at multiple scales related to
localised land use management changes is presented. The procedure divides the catchment into a
number of runoff generating elements, which are each classified based on soil types and land
management. For each runoff generating element, a physics based model is developed,
incorporating understanding of hydrological processes and properties. This permits the
investigation of local scale impacts, but cannot be applied at the catchment scale due to excessive
computational burden. Therefore, the outputs from these physics based models are used to train
simpler “metamodels”, which are then incorporated into a semi-distributed catchment model. In
this way, the understanding of local changes in physical properties can be incorporated into a more
flexible and computationally efficient catchment scale conceptual model. This procedure has
previously been tested to a limited extent on a 12km² experimental catchment in upland Wales,
which provided multi-scale hydrological data sets.
The applicability of the procedure is now examined for a 25km² upland subcatchment of the
Hodder in north-west England for an extended range of land management questions. This
catchment is currently undergoing a number of land management changes, including: the blocking
of open drains in the peatlands that cover the upper extent of the subcatchment, changes to an
existing coniferous plantation and extensive deciduous riparian planting. The catchment does not
include supporting multi-scale monitoring; without local data, physics based models are developed a
priori using information from the literature, qualitative field observations and a proxy catchment.
The significance of the uncertainties due to this lack of data and also uncertainties related to the
upscaling procedure itself are explored, particularly examining the identifiability of the predicted
effects at multiple scales. Based on the findings, the strengths and limitations of physics based
modelling and the upscaling procedure in terms of ability to predict catchment-scale impacts of
local land management interventions are assessed. The outputs from the multi scale modelling are
also used to increase conceptual understanding of the hydrological processes and their relative
importance under different land use and land management scenarios at the local scale, and also to
quantify the impacts of land management scenarios at the catchment scale, taking into account the
limitations of the modelling procedure