PUB in practice: case studies - Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales - page 271

Table 11.1. Summary of the case studies

Case study: section Country Climate Nature of study Method

11.2 India Semi-arid Annual runoff Index

11.3 China Semi-humid Annual runoff Spatial proximity

11.4 Russia Continental/Cold Annual runoff Index

11.5 Canada Continental/Cold Inter-annual runoff Process-based

11.6 South Africa and Lesotho Semi-humid Seasonal runoff Process-based

11.7 North-east USA Continental/Cold Hydrographs Regression/Geostatistics

11.8 Canada Continental/Cold Hydrographs Process-based/Similarity

11.9 Italy Semi-humid FDC Regression/Index

11.10 Austria Continental/Cold Floods Geostatistics

11.11 Australia Humid/Tropical/Arid Floods Regression

11.12 Chile Humid Flow path Process-based/Regression

11.13 France Semi-arid Annual runoff Short records

11.14 Zambia Humid/Tropical Hydrographs Process-based

11.15 Ghana Tropical/Semi-arid Hydrographs Process-based

11.16 South-west USA Semi-arid Hydrographs Process-based

11.17 Zimbabwe Sub-tropical Annual runoff/Seasonal

runoff/FDC/Low flows

Process-based/Regression

11.18 Australia Humid/Tropical/Arid Hydrographs Process-based/Similarity

11.19 South-east Asia Cold/Tropical Hydrographs Process-based

11.20 Sweden Continental/Cold Hydrographs Process-based/Similarity

studies aimed at improving estimates of design floods in
ungauged basins.
The study by Blume (Chile) focuses on understanding
flow paths and storage characteristics in a steep, represen-
tative catchment in the Andes mountains, using both
experimental work and detailed process modelling. Two
studies in Africa by Winsemius and Savenije (Zambia) and
Liebe et al. (Ghana) address critical issues related to model
development and validation in data-poor situations, in each
case coming up with truly innovative methods. The case
study by Crabit et al. (France) presents a novel framework
to define hydrological signatures of ephemeral streams on
small poorly gauged agricultural catchments, on the basis
of new soft monitoring techniques for rainfall and runoff
measurements. The study by Kennedy et al. (USA) pre-
sents work on enhancements to a process model in the arid
south-west of the USA to address issues related to urban
development. Mazvimavi (Zimbabwe) presents a compre-
hensive study of runoff regionalisation using both statis-
tical and process-based methods, reflecting the themes of
the entire topic.
The case studies by Viney (Australia), Samuel et al.
(Canada), Takeuchi et al. (South-East Asia, Mekong
Basin) and Arheimer and Lindström (Sweden) involve
application of continuous rainfall

Figure 11.1. World map with the countries present in the case
studies.

this topic. These include mapping the patterns of annual
runoff in major catchments in India (Biggs), China (Jia)
and Russia (Korytny et al.), and dealing with parameter
uncertainty in seasonal runoff predictions in South Africa
using a monthly model (Hughes). Indeed, Biggs (India)
overcame severe data limitations by invoking sound hydro-
logical insights in the form of the Budyko curve. Pomeroy
et al. (Canada) present the application of a distributed
physically based cold regions hydrological model to pre-
dict inter-annual variability of annual runoff.
Archfield (USA) and Castellarin (Italy) present compre-
hensive studies involving estimation of key runoff indica-
tors based on regionalisation of flow duration curves to
ungauged sites. Similarly, Merz et al. (Austria) and Rah-
man et al. (Australia) present comprehensive national

runoff models over large
catchments or regions involving a large number of
ungauged sites. Viney uses model averaging to obtain
improved performance. Samuel et al. adopt strategies to
improve model structures and to regionalise parameter

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