Surface Water Flashcards

1
Q

surface water models
- inputs
- outputs

A

Aim: capture surface runoff and river flow

Inputs:
- sun light
- precipitation
- cloud cover
- water vapour

Outputs:
- ET
- river discharge
- runoff
- GW

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2
Q

model classifications

A

Spatial:
- lumped = inputs averaged over the whole catchment and 1 set of outputs
- distributed = Quasi-continuous representation of the catchment with quasi-continuous inputs and outputs
- semi-distributed = catchment partitioned, each with inputs and outputs

Time:
- event-based = specific storm conditions
- continuous

Complexity:
- empirical = statistical relations
- conceptual = processes simplified with empirical equations
- physics based = processes represented by well established physical concepts such as mass balance

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3
Q

budykos curve

A

used to get runoff ratio, Q/P, by focusing on ET/P

for ET/P
- energy limit
- water limit
this gives the theoretical line

curve based on experimental data which tends to the theoretical line

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4
Q

storm flow

A

part of rain even that immediately appears in the flow

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5
Q

runoff
- aka
- definitions

A

effective rainfall

definitions
- [weird Y] index = limit
- proportional
- Hortons method?
- SCS curve, S returned in inches, needs to be turned to mm
- Hydrograph, varied shapes based on the location of storm event and the direction of its motion

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6
Q

model building stages

A
  • ID physical processes
  • define equations based on reasonable assumptions
  • solve using numerical methods, based on state evolution f (state, parameters, forcing inputs)
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7
Q

model definition

A
  • what to model
  • conceptualize = system abstraction
  • model formulation
  • numerical solution
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8
Q
A
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