Wrong NHK Numbers about Ishikawa Quakes?
2024-01-05Earlier this morning I checked NHK’s website for updates about Ishikawa and the post-quake situation. I came across one sentence in an article that immediately stood out to me since I have been wrangling the quake data from JMA in pandas for the past few days. Something didn’t add up.
Here’s the section from the article:
今月1日午後4時10分ごろに発生した能登半島地震では、石川県の志賀町で震度7の激しい揺れを観測したほか、震度6強の揺れを七尾市と輪島市、珠洲市、穴水町で観測しました。
また、新潟県と石川県、富山県、福井県、長野県、岐阜県で震度6弱から5弱を観測しました。
能登地方やその周辺を震源とする地震はその後も相次ぎ、震度1以上の揺れを観測した地震は5日午前4時までに786回にのぼっています。
気象庁は、揺れの強かった地域では、家屋の倒壊や土砂災害などの危険性が高まっているため、1日の地震から1週間ほどは最大震度7程度の揺れに注意するよう呼びかけています。
A rough English translation of the sentence in question: “Earthquakes with an epicenter in and around the Noto region have continued after that, and earthquakes with a seismic intensity of 1 or more have occured 786 times up to 4 a.m. on the 5th.”
Yesterday morning when I had checked according to filtered data from the JMA the number was 247 - that was about 8:30am, January 4th.
The number is so different that it made me wonder if I had something wrong.
There are a few possibilities:
- Something about my method was flawed.
- JMA is providing NHK with data that is not publicly available.
- NHK has made an error in how they analyzed data.
The first thing that I checked was the actual number of entries in the dataset, starting from January 1st at 4:09pm until now (current time is 8:56pm, January 5th). It’s reasonable that the total number of entries would now be more than 768. Keep in mind that there are a number of other things in that data - earthquakes outside of Japan, outside of Noto and the surrounding area, “information” (which is not information about an epicenter), etc. Those are things that I filtered out before because they are not relevant to analyzing quake data from Noto peninsula.
Here’s the code that I ran:
import pandas as pd
import datetime
# the json url
quakes_json_url = "https://www.jma.go.jp/bosai/quake/data/list.json"
# load it into a dataframe
quakes = pd.read_json(quakes_json_url)
# convert to datetime but first will drop the offset
quakes["at"] = quakes["at"].apply(lambda x: x.replace("+09:00", "").replace("T", " "))
quakes["at"] = pd.to_datetime(quakes["at"])
# change the 'at' column to date_time
quakes = quakes.rename(columns={"at": "date_time"})
# make a mask to have only those entries with a date_time starting after 4:09pm, January 1st
dt_mask = quakes.date_time > datetime.datetime.fromisoformat("2024-01-01 16:09")
# Apply the mask and get the number of entries
quakes.loc[dt_mask].shape[0]
Result:
687
Note: the data available in that JSON file is limited to one month prior to the current date - so if you are trying this in the distant future it won’t work.
Note: I didn’t account for duplicated data, and there are some where the eid
is the same.
I don’t even need to dig any further. There just isn’t enough data to support the claim from NHK.
Well, just to show in more detail what kind of entries there are – there are several kinds of “titles” (column = ttl
) in the dataset. Here are the value counts for each with the same date_time
mask applied from above:
quakes.loc[dt_mask].ttl.value_counts()
Result:
震源・震度情報 537
震度速報 105
震源に関する情報 41
顕著な地震の震源要素更新のお知らせ 4
I see a large number of actual epicenter entries (537). Let’s see where those might be. The en_anm
column is English area name. Let’s see the value counts for those, but just the epicenter:
quakes.loc[dt_mask & (quakes.ttl == "震源・震度情報")].en_anm.value_counts()
Result:
Noto, Ishikawa Prefecture 318
Off the Coast of Noto Peninsula 145
Adjacent Sado 35
Off the Coast of Joetsu and Chuetsu, Niigata Prefecture 18
Off the west Coast of Ishikawa Prefecture 6
Toyama Bay 4
Northwestern Chiba Prefecture 1
Adjacent Sea of Amami-Oshima Island 1
Off the Coast of Iwate Prefecture 1
Northern Wakayama Prefecture 1
Adjacent Sea of Ishigakijima Island 1
Northern Ibaraki Prefecture 1
Adjacent Sea of Tokara Islands 1
Northern Miyagi Prefecture 1
Eastern Region · Fuji Five Lakes, Yamanashi Prefecture 1
Off the east Coast of Osumi Peninsula 1
Iyonada Sea 1
Just to double check another thing - each area has a code. I had been using 390
since that seems to have been the code for Noto. Let’s check the counts for those codes according to the English name, with the same filter from the above:
quakes.loc[dt_mask & (quakes.ttl == "震源・震度情報")].groupby(["acd", "en_anm"]).en_anm.count()
Result:
acd en_anm
220 Northern Miyagi Prefecture 1
286 Off the Coast of Iwate Prefecture 1
300 Northern Ibaraki Prefecture 1
341 Northwestern Chiba Prefecture 1
379 Off the Coast of Joetsu and Chuetsu, Niigata Prefecture 18
390 Noto, Ishikawa Prefecture 318
412 Eastern Region · Fuji Five Lakes, Yamanashi Prefecture 1
494 Off the west Coast of Ishikawa Prefecture 6
495 Off the Coast of Noto Peninsula 145
497 Toyama Bay 4
498 Adjacent Sado 35
550 Northern Wakayama Prefecture 1
680 Iyonada Sea 1
793 Adjacent Sea of Amami-Oshima Island 1
798 Adjacent Sea of Tokara Islands 1
820 Off the east Coast of Osumi Peninsula 1
854 Adjacent Sea of Ishigakijima Island 1
I’m a little rusty on my Japanese geography, but I do know that at least 6 of these entries are relevant:
acd en_anm
390 Noto, Ishikawa Prefecture 318
495 Off the Coast of Noto Peninsula 145
379 Off the Coast of Joetsu and Chuetsu, Niigata Prefecture 18
498 Adjacent Sado 35
494 Off the west Coast of Ishikawa Prefecture 6
497 Toyama Bay 4
Adding those together, I get a total of 536. The counts from other areas are so small they make little difference. Remember, NHK’s number was 786 – and that was almost 16 hours ago.
Wrapping up
Now with this information I do understand that my method of just checking for quakes from 390
was not adequate since there are other areas that are related and likely have an impact (as far as an aftershock is concerned). I believe part of my misunderstanding was due to how those codes work- and this bit of work from above helps to make that more clear.
In a follow up at some point it would be good to actually use coordinates as a window. Another interesting angle would be to see how many earthquakes had a registered intensity on Noto peninsula.
However, the number here is less than what NHK reported. It seems there was either an error on NHK’s part, or JMA shares non-public data with them - but it can’t be an intentional error… the government run media would never lie to us.