EVALUATION REPORT
Initial Evaluation Of The Effectiveness Of
Mr. Shan
R. Shanmugasundaram's
Sun Shadow Deviation Measurement Based
Earthquake
Forecasting Procedure
And It’s Significance to Earth
Science,
Geophysics & Seismology
Part-2
By:
Chen I-wan,
Advisor
The criteria I have used for these evaluations is as follows:
Ratings |
Days |
Lat./Long. |
Magnitude
(Ms) |
Failure
|
>/=3 |
>/=3 |
>/=1.0 |
Success |
</=2 |
</=2 |
</=0.5 |
Practical |
>2 |
>2 |
>0.5 |
Value |
<3 |
<3 |
<1.0 |
Scientific |
>2 |
>3 |
>0.5 |
Value |
<3 |
<4 |
<1.0 |
Total
Value = Success + Practical Value + Scientific Value |
Practical
Value: The prediction could be used to provide seismic hazard monitoring
departments within or close to the concerned region with information that would
help them enhance their seismic monitoring efforts around and during the time
windows for the expected EQs.
Scientific
Value: The prediction would not be accurate enough to be useful as an EQ
warning. However, it would be accurate enough to provide evidence that the
observed SSD was linked with a temporary shift – tilting in the Earth’s
North – South Pole rotation axis.
Shan’s
EQ forecasts:
Forecast Code |
Location |
Lat. |
Long. |
From |
Until |
Ms |
20030815SSS-A |
Hindu Kush Region, |
36.62 |
71.17 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-B |
Andaman Islands |
12.14 |
93.52 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-C |
Southern Sumatera |
-2.2 |
105 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-D |
Southern Xinjiang,
China |
40.5 |
80.5 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-E |
East Coast of
Kamchatka |
51.26 |
158.87 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-F |
Sumba Region |
-9.95 |
119.13 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-G |
Banda Sea |
-7.4 |
128.4 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-H |
Irian Jaya, Indonesia |
-1.6 |
134.3 |
2003.08.14 |
2003.08.22 |
Ms5 |
20030815SSS-I |
New Britain Region |
-5.54 |
148.94 |
2003.08.14 |
2003.08.22 |
Ms5 |
Forecast Code – Actual EQs Parameters:
Forecast Code |
Actual Date |
Lat. |
Long. |
|
|
Location |
Source |
|
20030815SSS-A |
2003.08.15 |
37.6 |
70.4 |
4.9 |
mb |
Afghanistan- |
REDPUMA |
EMS |
20030815SSS-B |
2003.08.21 |
12.962 |
93.037 |
4.7 |
Ms |
Andaman Islands, |
NEIC |
|
20030815SSS-C |
2003.08.21 |
2.289 |
96.549 |
5.2 |
Ms |
Simeulue, Indonesea |
USGS |
|
20030815SSS-D |
2003.08.23 |
41.6 |
79 |
4.7 |
mb |
Kyrgyzstan-Xinjiang |
REDPUMA |
EMS |
20030815SSS-E |
2003.08.14 |
55.4 |
162.4 |
4.9 |
Ms |
Near East Coast of |
REDPUMA |
NEI |
20030815SSS-F |
N/A |
N/A |
N/A |
|
|
N/A |
N/A |
N/A |
20030815SSS-G |
2003.08.20 |
-6.492 |
129.748 |
4.8 |
Ms |
Banda Sea |
USGS |
|
20030815SSS-H |
2003.08.22 |
-0.49 |
132.36 |
4.5 |
Ms |
Near North Coast of |
NEIC |
|
20030815SSS-I |
2003.08.16 |
-4.584 |
151.76 |
5.3 |
Ms |
New Britain Region, |
NEIC |
|
Forecast
Code –Evaluation Statistics
Calculation:
Forecast/Actual EQ
Error |
Evaluation Statistics
Calculation |
||||||||
Forecast Code |
Days |
Lat. |
Long. |
Mag. |
Total |
Failure |
Success |
Practical Value |
Scientific Value |
20030815SSS-A |
0 |
0.98 |
-0.77 |
-0.1 |
1 |
|
1 |
|
|
20030815SSS-B |
0 |
0.822 |
-0.483 |
-0.3 |
1 |
|
1 |
|
|
20030815SSS-C |
0 |
4.489 |
-8.451 |
0.2 |
1 |
1 |
|
|
|
20030815SSS-D |
1 |
1.1 |
-1.5 |
-0.3 |
1 |
|
1 |
|
|
20030815SSS-E |
0 |
4.14 |
3.53 |
-0.1 |
1 |
1 |
|
|
|
20030815SSS-F |
|
|
|
|
1 |
1 |
|
|
|
20030815SSS-G |
0 |
0.908 |
1.348 |
-0.2 |
1 |
|
1 |
|
|
20030815SSS-H |
0 |
1.11 |
-1.94 |
-0.5 |
1 |
|
1 |
|
|
20030815SSS-I |
0 |
0.956 |
2.82 |
0.3 |
1 |
|
|
1 |
|
Notes on the evaluation Excel file:
The
above mentioned Excel file containing all the data used in the
evaluation is available. I will forward this Excel file to anybody who makes
such request by email to me via messenger@xrg-china.com.
People can examine those data and draw their own conclusions. Current data
can also be obtained from Shan’s Website (http://EQ.itgo.com/today.htm).
Notes on “Forecast / Actual EQ Error”:
Error of Days = Actual Date – Time Window:
l
If actual date of EQ falls within
Shan’s predicted time window, then Error of Days = 0;
l
If actual date of EQ is 1 day
later than last day of Shan’s time window, then Error of Days = 1;
Error of Latitude (or Long.) = Actual Latitude (or Long.) – Predicted Latitude (or Long.)
Ø
When an actual EQ occurs,
multiple seismic monitoring stations equipped with massive modern equipment
determine the longitudes/latitudes of the epicenter. Upon review of the
longitudes/latitudes of the same actual EQs announced by NEIC, EMSC, and RedPuma,
different degree of differences is found in many cases, and neither network is
able to judge and state that the longitudes/latitudes determined by them is the
only correct one.
Ø
Accordingly, in my evaluation
process, the longitudes/latitudes closest to the predicted longitudes/latitudes
of the same actual EQs announced by NEIC, EMSC, and RedPuma was selected for the
evaluation.
Ø
As all international seismic
monitoring networks equipped with massive modern equipment accept and respect
the existence of errors they determine for the actual EQs after their
occurrence, the above evaluation approach should be considered fair and
scientific for the purpose of evaluating Shan’s EQ forecasts conducted at only
one site by only one person’s personal efforts based on only one means of SSD
observation.
l If actual magnitude falls within
Shan’s predicted magnitude range, then Error of Magnitude = 0;
l
If actual magnitude of EQ is 0.5
greater than max. value of Shan’s predicted magnitude range, then Error of
Magnitude = 0.5;
l
If actual magnitude of EQ is 0.5
less than min. value of Shan’s predicted magnitude range, then Error of
Magnitude = - 0.5;
l
When Shan’s predicted magnitude
is stated as Ms4 – Ms5+, the max. value is considered to be Ms5.5; When
Shan’s predicted magnitude is stated as Ms5 – Ms6.5+, the max. value is
considered to be Ms6.75.
l
The scale of magnitude of the
actual EQs determined by different networks/stations is different, i.e. Ms, Ml,
mb, MW, which contains different degrees of errors. Accordingly, when
calculating the Error of Magnitude, only the values are considered, and
different scales and the value difference caused by the different scales is
ignored.
Notes on Evaluation Statistics Calculation:
Ø
For Shan’s predictions rated as
Failure, or Success, or Practical Value, they are calculated only once and thus
Total Predictions = Failure + Success + Practical Value.
Ø However, as Shan’s predictions rated as Scientific Value are also rated as Failure with regard to their value as an EQ forecast. Thus Failure + Success + Practical Value + Scientific Value > Total Predictions.
Ø
EQ prediction evaluation criteria
standards adopted by official seismology departments in certain countries take a
simple either Success or Failure approach in evaluation of EQ
predictions. However, at the same time, with a network of seismic monitoring
stations with all their modern equipment and personnel resources and government
funds, they have to accept and respect the difficulties and differences they
have with regard to accurately determining the latitude/longitude of the
epicenter, and the magnitude, and even the exact timing of the occurrence of the
actual EQ.
Ø Different kinds of geophysical
instruments and EQ forecasting techniques/methods, each have their own
advantages and limitations. Accurate and reliable EQ predictions as explained
here thus requires
the approach of multiple techniques/methods, including
a network of multiple observation stations formed by both stations in nearby
areas as well in remote locations, equipped with multiple different type of
geophysical monitoring instruments/techniques.
Ø The above mentioned simple
Success or Failure approach adopted by official seismology departments in
certain countries for evaluation of EQ predictions adopts a degree of
“fairness” in face value, i.e. treating all EQ predictions the same. But
such a practice ignores the above situation. It tends to simply reject most, if
not all, effective EQ forecasting techniques/methods conducted at only one site
by only one person’s personal efforts based on only one means of observation.
The reason is that such EQ forecasting techniques/methods cannot reach the
standard of accuracy and reliability achievable with a network of multiple
observation stations formed by both stations in nearby areas as well in remote
locations, and equipped with multiple types of geophysical monitoring
instruments/techniques.
Ø
Accordingly, the above-mentioned
simple Success or Failure approach adopted by official seismology departments in
certain countries for evaluation of EQ predictions is neither a fair nor
scientific approach. And it has become another obstacle blocking the recognition
of most, if not all, effective EQ forecasting techniques/methods conducted at
only one site by only one person’s personal efforts based on only one means of
observation.
Ø Such an approach is
scientifically misleading not only to official seismologists themselves, but
also misleading to government officials, the media and the general public.
Ø
Taking the above into account, to
improve scientific fairness, in my evaluation of Shan’s SSD based EQ
forecasting method, as explained above, I have adopted two additional scales of
rating: Practical Value and Scientific
Value.
Ø
In
addition to the simpler Success or Failure approach, by adopting
these two extra scales of rating the evaluation result can provide all concerned
with a scientifically fair and comprehensive better understanding of not only
the effectiveness of Shan’s SSD observation based method for EQ forecasting,
but also its significance in provided
further scientific evidence to deepen our understandings in basic Earth science,
geophysics and seismology theories.
[ Evaluation Report : Part 1 || Part 3 || Part 4 ]