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Prescribed fire Possible

2018-03-17 Augusta-Richmond County, GA-SC prescribed-fire smoke episode

March 17, 2018

Daily PM2.5 peaked at 41.3 µg/m³ near Augusta across 1 covered metro home to 636,760 people.

Why we think this happened

The basis for “Prescribed fire”

Exact-date NWS discussions place regional prescribed-burn or wildfire smoke over the Augusta forecast area while EPA monitors record a local PM2.5 episode. A same-place, same-year permit-based study independently shows that March prescribed burning materially affected Augusta in 2018. Together these support prescribed-fire smoke only at possible confidence because the official forecast preserves wildfire ambiguity, says smoke may have remained aloft, and no exact-day burn-to-monitor attribution exists.

Possible This is a transparent hypothesis supported by limited evidence or an explicit inference, not a definitive attribution.

Inference, not direct attribution

official_smoke_forecast_plus_local_seasonal_fire_evidence_possible.v1: This inference is recorded in the catalog methodology.

See every retained source and limitation ↓

Evidence path

From source to city

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.

Open the evidence ledger ↓
  1. 1

    Source or mechanism

    Pattern-based explanation

    official_smoke_forecast_plus_local_seasonal_fire_evidence_possible.v1. This inference is recorded in the catalog methodology.

    Inferred
  2. 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. 3

    Local response

    41.3 µg/m³ near Augusta

    EPA monitors recorded the event across 1 metro. The peak daily concentration is roughly 1.9 cigarette-equivalents at the outdoor daily rate.

    Inspect the pollutant and weather signals ↓
    Documented

Event autopsy

What the instruments saw

Before, during, and after the episode: nearby pollutant monitors and surface-weather stations show what changed. This context tests the “Prescribed fire” explanation; it does not assign the cause by itself.

Observed context · not attribution

Augusta-Richmond County, GA-SC

Monitor comparison window 2018-03-14 to 2018-03-20 · PM2.5 target: Augusta

4 pollutant signals
Fine-particle pulse 40.5 µg/m³

259% above nearby days

Air movement 4 kt median wind

7 calm hours observed

What observers saw 1.5 mi minimum visibility

1 hours at or below 3 miles

Pollution fingerprint

Metro-wide median of reporting monitors
PM2.5 40.5 µg/m³

259% higher than surrounding days

Before17.1 µg/m³ Event40.5 µg/m³ After11.2 µg/m³
1 monitor · 1 HOUR
PM10 31 µg/m³

138% higher than surrounding days

Before18 µg/m³ Event31 µg/m³ After12 µg/m³
1 monitor · 24-HR BLK AVG
Sulfur dioxide 0.592 ppb

31% higher than surrounding days

Before0.450 ppb Event0.592 ppb After0.329 ppb
1 monitor · 1 HOUR
Ozone 0.025 ppm

39% lower than surrounding days

Before0.049 ppm Event0.025 ppm After0.041 ppm
3 monitors · 8-HR RUN AVG BEGIN HOUR

Atmospheric conditions

Augusta, 4 km from the PM2.5 target
Wind 4 kt median

9 kt maximum · 7 of 24 observed hours calm

Visibility 1.5 mi minimum

1 observed hours at or below 3 miles

Temperature 59.5°F median

53°F to 74°F

Humidity 68% median

90% maximum

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.

Affected metros

MetroPeak PM2.5Cigarettes, whole eventPeak dayAll-time standing
Augusta-Richmond County, GA-SC 41.3 µg/m³ 1.9 Mar 17, 2018 #24 of its top days

"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.

5 retained sources

Official record

Area Forecast Discussion: smoke from regional prescribed burns could reduce visibility

National Weather Service Columbia via Iowa Environmental Mesonet

NWS Columbia reported that smoke from regional prescribed burns could reduce visibility, mainly aloft, in the near term for the Augusta forecast area.

What it supports

This source supports a possible mechanism or occurrence; it does not establish the cause by itself.

Limit

The forecast said the smoke could remain mainly aloft and did not quantify its contribution to Augusta surface PM2.5.

Official record

Area Forecast Discussion: prescribed-burn or wildfire smoke could reduce visibility

National Weather Service Columbia via Iowa Environmental Mesonet

A later NWS Columbia discussion again warned that smoke from prescribed burns or wildfires could reduce visibility in parts of the forecast area in the near term.

What it supports

This source supports a possible mechanism or occurrence; it does not establish the cause by itself.

Limit

The source explicitly preserves prescribed-fire versus wildfire ambiguity and does not establish surface attribution at the Augusta monitor.

Official record

Augusta measured PM2.5 fingerprint, March 17, 2018

U.S. EPA AirData

EPA records show a daily PM2.5 value of null micrograms per cubic meter across 2 Augusta-area monitors on March 17, compared with 11.8 before and 10.85 after the event.

What it supports

This source supports a possible mechanism or occurrence; it does not establish the cause by itself.

Limit

The monitor record establishes the particle episode but cannot identify the particle source by itself.

Official record

Augusta modeled aerosol fingerprint, March 17, 2018

U.S. EPA EQUATES CMAQ via Remote Sensing Information Gateway

EPA's retrospective model reproduced an event-day fine-mass increase of 1.7512 times adjacent modeled days; organic matter represented 58.1 percent of modeled fine mass.

What it supports

Context for the event; this item does not establish the attributed cause by itself.

Limit

EQUATES is modeled composition context, not a monitor observation or a prescribed-fire source-apportionment result.

Scientific research

The Impacts of Prescribed Fire on PM2.5 Air Quality and Human Health in Georgia

Huang et al., International Journal of Environmental Research and Public Health

A peer-reviewed Georgia study using state burn permits and modeled fire impacts found Augusta among the metros with substantial prescribed-fire PM2.5 influence, identified March as the most active burning month, and found 2018 had the largest modeled burn impact of the four years studied.

What it supports

Context for the event; this item does not establish the attributed cause by itself.

Limit

The study establishes a same-place, same-year seasonal pattern, not the source fraction for March 17 or a match to one specific burn.

What remains uncertain

Status and provenance

Possible This 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.