Daily PM2.5 peaked at 64.8 µg/m³ near Philadelphia across
1 covered metro home to 6.3 million people.
Counting the extra PM2.5 above each metro's typical day, this event handed the
average affected resident ≈ 2.3 cigarettes.
Across everyone living in the affected metros, that is the collective equivalent of
≈ 15 million cigarettes.
An awareness illustration of outdoor exposure at 22 µg/m³
per cigarette (Berkeley Earth), counting only the event's ranked days; not a
medical dose.
Why we think this happened
The basis for “Temperature inversion”
The exact-date NWS discussion described fog and haze after snow-covered radiational cooling and moisture trapped beneath a very low-level inversion. A broad 12-monitor PM2.5 rise occurred with compatible PM10, carbon monoxide, nitrogen dioxide, and sulfur dioxide increases. Temperature-inversion accumulation is therefore possible, while the trapped source mixture remains unidentified.
PossibleThis is a transparent hypothesis supported by limited evidence or an explicit inference, not a definitive attribution.
EPA records show median daily PM2.5 of 43.2 micrograms per cubic meter across 12 monitors, more than twice the adjacent-window level, with compatible PM10, carbon monoxide, nitrogen dioxide, and sulfur dioxide increases.
National Weather Service surface observations via Iowa Environmental Mesonet · Dec 30, 2010hypothesis
The exact-date NWS discussion described three-to-five-mile fog and haze after snow-covered radiational cooling and forecast moisture trapped beneath a very low-level inversion.
Inference, not direct attribution
Documented inversion overlap: The event overlaps a documented inversion period, but the retained material does not directly attribute the measured PM2.5 episode.
A cause is more convincing when the record connects three things: something happened,
the air mass moved toward the region, and local instruments responded. Here is how much
of that chain is documented for this event.
Documented inversion overlap. The event overlaps a documented inversion period, but the retained material does not directly attribute the measured PM2.5 episode.
Inferred
2
Air-mass movement
The transport path has not been reconstructed
The retained record does not yet show how air traveled from the proposed source to
these metros. A trajectory replay or dated plume analysis belongs here.
Research gap
3
Local response
64.8 µg/m³ near Philadelphia
EPA monitors recorded the event across 1 metro.
The peak daily concentration is roughly 2.9 cigarette-equivalents at the outdoor daily rate.
Before, during, and after the episode: nearby pollutant monitors and surface-weather
stations show what changed. This context tests the “Temperature inversion” explanation; it does
not assign the cause by itself.
Observed context · not attribution
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
Monitor comparison window 2010-12-27 to 2011-01-02 · PM2.5 target: MLK CORNER OF MLK BLVD AND JUSTISON ST
6 pollutant signals
Fine-particle pulse43.2 µg/m³
104% above nearby days
Air movement2.78 kt
54% lower than surrounding days
PM1029 µg/m³
38% higher than surrounding days
Pollution fingerprint
Metro-wide median of reporting monitors
PM2.543.2 µg/m³
104% higher than surrounding days
Before8 µg/m³ Event43.2 µg/m³ After30.8 µg/m³
PM1029 µg/m³
38% higher than surrounding days
Before15 µg/m³ Event29 µg/m³ After21 µg/m³
Carbon monoxide0.773 ppm
29% higher than surrounding days
Before0.257 ppm Event0.773 ppm After0.631 ppm
Nitrogen dioxide37.9 ppb
46% higher than surrounding days
Before17.9 ppb Event37.9 ppb After25.9 ppb
Sulfur dioxide3.93 ppb
34% higher than surrounding days
Before2.29 ppb Event3.93 ppb After2.94 ppb
Ozone0.006 ppm
72% lower than surrounding days
Before0.026 ppm Event0.006 ppm After0.021 ppm
Atmospheric conditions
Nearby EPA weather observations
Humidity61.5 %
About the same as surrounding days
Pressure1007 Millibars
About the same as surrounding days
Temperature33.1 °F
About the same as surrounding days
Wind2.78 kt
54% lower than surrounding days
Source: U.S. EPA AirData daily observations and, where available, nearby ASOS/AWOS
surface observations. Values are descriptive medians over the retained monitor set;
missing measurements remain missing. Transport and source evidence remain separate
layers because this instrument pattern does not assign a cause by itself.
Measured daily PM2.5 at EPA monitors, as cigarette-equivalents
EPA monitors sit in metro areas, so the colour clusters there. Land between and beyond
them is unmeasured, not clean: this map shows where IAQng has readings, not the extent
of the smoke.
—
Episode peak
--cigarettes
The smoke map's scale, replayed over this event: the surface interpolates between
covered metros' daily records, framed to the affected region. Hover for a reading,
click a metro to pin it to the card. Days a monitor did not report draw nothing.
Select a metro on the map to see nearby cameras. Where an operator archive reaches
the event, drag the divider to compare two moments, adjust either date and time, or
play the available event-day frames. Camera imagery is visual context, not an
air-quality measurement or proof of smoke.
No useful public camera views are currently available within 80 km of this metro.
"Cigarettes, whole event" totals a metro's ranked event days at 22 µg/m³ per
cigarette: what a person outdoors there breathed across the event, as the
illustration. "All-time standing" is where this episode's days sit in each metro's
ranked record (worst-area measure, since 1999). Full local context is on each
metro's Air Records page.
Public evidence library
What supports this account
Each card states what a source supports—and what it does not. Official records, research, reporting, community observations, and transparent inferences remain visibly different kinds of evidence.
3 retained sources
Official record
Philadelphia joint pollution fingerprint, December 30, 2010
U.S. EPA AirData
EPA records show median daily PM2.5 of 43.2 micrograms per cubic meter across 12 monitors, more than twice the adjacent-window level, with compatible PM10, carbon monoxide, nitrogen dioxide, and sulfur dioxide increases.
What it supports
This source supports a possible mechanism or occurrence; it does not establish the cause by itself.
Limit
The fingerprint demonstrates broad accumulation but cannot apportion the trapped source mixture.
Official record
Philadelphia-area surface conditions, December 30, 2010
National Weather Service surface observations via Iowa Environmental Mesonet
The Wilmington airport station recorded eight hours of haze and six of mist; 69.2% of available event hours had wind at or below three knots.
What it supports
This source supports a possible mechanism or occurrence; it does not establish the cause by itself.
Limit
Only 13 event hours were available, and one airport station cannot fully represent the four-state metro.
Official record
Area Forecast Discussion: moisture trapped under a low-level inversion
National Weather Service Philadelphia/Mount Holly via Iowa Environmental Mesonet
The exact-date NWS discussion described three-to-five-mile fog and haze after snow-covered radiational cooling and forecast moisture trapped beneath a very low-level inversion.
What it supports
This source supports a possible mechanism or occurrence; it does not establish the cause by itself.
Limit
The discussion identifies the accumulation setting but not the sources or composition of the particles.
What remains uncertain
Only 13 event hours were available, and one airport station cannot fully represent the four-state metro.
The discussion identifies the accumulation setting but not the sources or composition of the particles.
The fingerprint demonstrates broad accumulation but cannot apportion the trapped source mixture.
Status and provenance
PossibleThis is a transparent hypothesis supported by limited evidence or an explicit inference, not a definitive attribution.
This episode was grouped from the monitor record by the catalog pipeline and given
its cause from the evidence listed above. It has not been individually reviewed and
signed off, so its boundaries, cause, and name may change as evidence accumulates.
Grouping policy common_sense_root_cause_grouping.v2. The cause label reflects the
assembled evidence above, not an IAQng detection formula. If it is wrong,
tell us.