Paper 3 Carding Mill Valley Flashcards

1
Q

What were 4 possible risks?

A

-> Misuse of equipment - hold ranging pole with sharp end down
-> Traffic - face any oncoming traffic
-> Uneven/ wet ground - appropriate footwear, walk carefully
-> Weather - appropriate clothing (warm, hat, suncream)
-> Depth and flow of river - check depth of water with pole. Don’t go into fast-flowing river.
-> Slippery rocks - correct footwear and be careful, walk slowly.

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2
Q

Hypothesis:
The width of the river channel
The wetted perimeter
The velocity of water
The gradient of the valley
The size of bedload
The roundness of bedload
River flooding

A

The width of the river channel increases downstream.
The wetted perimeter increases downstream.
The velocity of water increases downstream.
The gradient of the valley decreases downstream.
The size of bedload decreases downstream.
The roundness of bedload increases downstream.
River flooding impacts on local people.

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3
Q

How do we collect velocity?

A

Use a flow metre to take three measurements and calculate velocity in cumecs

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4
Q

Velocity
What could go wrong?
How could it be imporved?

A

WCGW - Flow metres didn’t always work and got ‘stuck’
HCIBI - Take more measurements to improve accuracy

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5
Q

Hypothesis for velocity? Why?

A

Velocity increased downstream
Less friction causes increased velocity

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6
Q

How can we represent velocity data?

A

Flow line map
Bar Graph

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7
Q

How do we collect wetted perimeter?

A

Use a metal chain to trace wetted perimeter then measure the chain that was in contact with banks/ bed

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8
Q

Wetter Perimeter
What could go wrong?
How could it be improved?

A

WCGW - Chain could be lying on rocks instead of bed and river.
Difficult to make sure chain is in contact.
HCIBI - Take multiple measurements for improved accuracy

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9
Q

What was the wetted perimeter hypothesis? Why?

A

Wetted perimeter increased downstream.
More water added from tributaries

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10
Q

How can wetter perimeter data be represented?

A

Bar graph

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11
Q

How can we collect the valley gradient?

A

Use Clinometer to measure gradient between two ranging poles 5 metres apart

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12
Q

Valley Gradient
What could go wrong?
How could it be improved?

A

WCGW - may not measure 5m accurately
HCIBI - Take measurements from each course of the river to see if it fits the Bradshaw model

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13
Q

What was the hypothesis for valley gradeint?

A

Wasn’t proved - all measurements we took were in the upper course

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14
Q

How was data for the flood risk map collected?

A

Environment Agency

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15
Q

What was the link to hypothesis for flood risk map?

A

Area where data collected does not flood but high risk downstream - houses and transport affected

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16
Q

Newspaper Article
What could go wrong?
How could it be improved?

A

WCGW - Old article (2013)
HCIBI - Get follow up information on flood alleviation scheme - how successful has it been, recent flooding

17
Q

What was the link to hypothesis for newspaper article?

A

Shows evidence of historic flooding - flood alleviation scheme planned for Church Stretton after flooding of homes and transport.
Flooding downstream from data collection sites

18
Q

How was Field Sketch data collected?

A

Labelled sketch taken of the valley

19
Q

Field Sketch
HCIBI

A

HCIBI - Good technology up in case technology fails
Could do sketch at each of the data collection sites

20
Q

Velocity data type and sampling technique

A

Primary
Quantitative
Systematic

21
Q

Wetted Perimeter data type and sampling technique

A

Primary
Quantitative
Systematic

22
Q

Valley gradient data type and sampling technique

A

Primary
Quantitative
Systematic

23
Q

Flood Risk Map data type

A

Secondary
Quantitative

24
Q

Newspaper Article data type

A

Secondary
Quantitative

25
Q

Field Sketch data type

A

Primary

26
Q
A