Sustainable Water: Uncertainty, Risk and Vulnerability in Europe
Workplan
The generic methodology used to reach the defined objectives has been
developed and applied according to the following scheme agreed by the
consortium of researchers and end-users:
- Organisation into four thematic Work Packages (WPs). The WPs are briefly:
- Application to eight specialised Case Studies
(CSs), chosen in collaboration with end-users in the water sector, related
industries and regulatory authorities. (Some Case Studies have more
than one aspect relevant to SWURVE and therefore appear in more than
one WP). Briefly, the Case Studies are:
- Execution by well-integrated Research Teams, comprising a lead contractor,
assisted by, and collaborating with, the end-users. Each team is focused
on certain Case Studies only, according to their expertise and ongoing
collaborations. Each team (except the co-ordinator, Team 1) leads a
Work Package, according to their particular expertise and which Case
Studies they are leading: so, WP1 is led by Team 4, WP2 by Team 5, WP
3 by Team 2 and WP4 by Team 3.
Because aspects of some Case Studies (CSs) appear in more than one WP,
a full description of the CS will be given only in the WP for which it
is a major component. See Table for the inter-relation between CSs and
WPs:
| Case Study |
Work Package |
WP 1
(led by Team 4) |
WP 2
(led by Team 5)
|
WP 3
(led by Team 2) |
WP 4
(led by Team 3)
|
CS 1
(Team 1) |
Required for all case studies |
(P)
Future planning |
Risk of failure in drought |
Impacts of over-abstraction |
|
CS 2
(Teams 1 and 4)
|
Improvements in CSO design |
(P)
Risk of pollution in storm overflows |
Impacts of pollution on fisheries |
CS 3
(Team 5) |
(P)
Operation in future climates |
Flood risk |
Impacts of abnormal levels, full economic
costing |
CS 4
(Team 5) |
Operation in future climates |
(P)
Flood risk |
Cost of shortfall in HEP |
CS 5
(Teams 1 and 3) |
Future changes in supply |
Risk of failure on agriculture |
(P)
Full economic costing and conflict avoidance |
CS 6
(Team 3) |
(P)
Future changes in supply and demand |
- |
- |
CS 7
(Team 2) |
- |
(P)
Flood risk |
Loss of navigation |
|
CS 8
(Team 1)
|
Planning abstractions |
- |
(P)
Impacts of changes in regime on salmonids |
| Key |
(P) Primary case study |
| Secondary case study |

Description of diagram
A generic methodology is followed for each Case Study. This allows inter-comparison
of impacts, identification of important factors and differences between
cases, and validation of the transferability of the methods to applications
elsewhere in Europe. The overall methodology may be described as follows:
- Develop and validate a deterministic simulation model of the resource
system, river basin, eco-system etc. using observed data (in most of
the proposed Case Studies, part or entire models already exist and are
used in operational procedures).
- Analyse the outputs in terms of system performance measures, i.e.
resilience, reliability and vulnerability, which can be compared with
other systems in a general, transferable and meaningful way.
- Apply the simulation model with long series of inputs (e.g. 1000 years)
to produce long series of outputs (a Monte Carlo simulation), for both
a present day case (control) and a number of future (perturbed) cases.
The future cases will be derived from representative GCM simulations.
- Apply scaling methods to determine changes in regional climate variables
for different greenhouse gas emission scenarios and global climate sensitivities
and establish statistical relationships between regional climate variables
and the local rainfall statistics. This then allows a large range of
possible future scenarios to be sampled statistically, without the major
computational and time expense of generating explicit time series as
in (3).
- Derive statistical descriptions of the hydrological or system model
inputs (e.g. pdfs of rainfall amounts) and the outputs (e.g. flow duration
curves or reliability of a system).
- Perform uncertainty analysis using these relationships and those from
(4), accounting for the full range of possible GCM emission scenarios,
model versus real climate sensitivity and climate variability.
- Estimate the vulnerability of various systems to the predicted future
climate changes taking into account consequential economic and management
impacts and produce plans for mitigating the predicted impacts.
- Work Package 1 Future scenario development
incorporating uncertainty
- Work Package 2 Strategies for sustainable
management and planning
- Work Package 3 Hazards, risk and vulnerability
assessment
- Work Package 4 Socio-economic and ecological
impact assessment
|