Decision Support System

Question 1

DSS definition

Answer 1

information system to support decisions making

based on model simulations using various model

Question 2

DSS components

Answer 2

• database
• model
• evaluation interface

Question 3

DSS model
- inputs
- encompasses
- produces

Answer 3

Inputs
- natural forcing
- system state
- human forcing
- decisions

Encompasses
- hydrology
- hydraulics
- ecology
- infrastructure

Produces
- new system state to be analysed, compared to goals and constraints and inform decisions
—- maximise goals, minimise cost and satisfy constraints

Question 4

system definition

Answer 4

• geographical area
• map water infrastructure (reservoirs, treatment plants)
• map physical and build environment
• map water demand activities

Question 5

system conceptualisation

Answer 5

• abstraction = define influential parts of the system
• classification = unifying similar parts of system into units
• parsimony = production of the simplest model that represents all system parts

Question 6

data collection

Answer 6

• for system state = river stage, GW, water quality
• map demand
• map infrastructure

Question 7

calibration

Answer 7

• ID most important model outputs
• collect observations for model output
• find best param set

Question 8

simulation data requirments

Answer 8

environmental forcing
- weather forcast for short term
- climate models long term

human forcing
- water demand from long term projections of population, urbanization, economic activity

Question 9

assessing system performance

Answer 9

• reliability = proportion of satisfactory states
• resilience = proportion of consecutive unsatisfactory states compared all unsatisfactory states
• vulnerability = measure or how unsatisfactory unsatisfactory states are

Question 10

system goals

Answer 10

• meet demand
• sustainability
• high standards of aquatic ecology

Question 11

system constraints

Answer 11

• physical = reservoir size extraction limits, demand
• legal for example water framework directive

Question 12

multiobjective functions aims

Answer 12

satisfy many, possibly contradicting objectives

Question 13

pareto optimal soluton
- definition
- solution selection

Answer 13

Definition
- point at which non of the objective function values can be improved without degrading some of the others
- defines the pareto front

Solution selection
- turn problem to one obj func based on weighting of each func
- minimise distance from nonfeasible ideal
—- euclidean norm
—- weighted p-norm