02.12.2014 Views

Annual Report 2000 - WIT

Annual Report 2000 - WIT

Annual Report 2000 - WIT

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

198<br />

Time (ms)<br />

0<br />

2<br />

4<br />

6<br />

8<br />

10<br />

12<br />

14<br />

16<br />

18<br />

20<br />

22<br />

24<br />

26<br />

28<br />

30<br />

32<br />

34<br />

36<br />

38<br />

40<br />

42<br />

44<br />

46<br />

48<br />

50<br />

HIKALISTO: Shotpoint Se1<br />

sourcetype: Hilti, line: shaft, unfiltered<br />

trace-normalization, wiggle: 2 (units/cm), polarity: <br />

alcove<br />

appearance: red: low-frequency (S)<br />

black: high-frequency (P)<br />

810 815 820 825 830 835 840 845 850<br />

Elevation above sea level (m)<br />

Time (ms)<br />

0<br />

2<br />

4<br />

6<br />

8<br />

10<br />

12<br />

14<br />

16<br />

18<br />

20<br />

22<br />

24<br />

26<br />

28<br />

30<br />

32<br />

34<br />

36<br />

38<br />

40<br />

42<br />

44<br />

46<br />

48<br />

50<br />

HIKALISTO: Shotpoint Se1<br />

sourcetype: Hilti, line: shaft, filter: 100-200-500-800<br />

trace-normalization, wiggle: 2 (units/cm), polarity: <br />

alcove<br />

810 815 820 825 830 835 840 845 850<br />

Elevation above sea level (m)<br />

HIKALISTO: Shotpoint Se1<br />

sourcetype: Hilti, line: shaft, filter: 1200-1500-5000-6000<br />

file: Se1_Bohrloch<br />

file: shaft_Se1_100-200-500-800<br />

S<br />

S dyke<br />

2<br />

trace-normalization, wiggle: 2 (units/cm), polarity: <br />

4<br />

6<br />

P<br />

8<br />

Time (ms)<br />

10<br />

12<br />

P dyke<br />

14<br />

16<br />

18<br />

20<br />

810 815 820 825 830 835 840 845 850<br />

Elevation above sea level (m)<br />

file: shaft_Se1_1200-1500-5000-6000<br />

Figure 9: Comparison of different filters for a shot recorded by the hydrophone cable<br />

within the shaft. The unfiltered data (upper figure) show both P- and S-wave energy.<br />

Lowpass filtering (middle figure) enhances S-wave energy, whereas S-wave energy can<br />

be removed by highpass filtering the data (lower figure).

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!