What are the current PM10 levels at Bel Air South, Maryland?

The current PM10 levels in Bel Air South, Maryland are 15.725 μg/m3.

What are the current sulfur dioxide (SO2) levels at Bel Air South, Maryland?

The current sulfur dioxide (SO2) levels in Bel Air South, Maryland are 0.212 ppb.

What are the current ozone (O3) levels at Bel Air South, Maryland?

The current ozone (O3) levels at Bel Air South, Maryland is 29.655 ppm.

What are the current nitrogen dioxide (NO2) levels at Bel Air South, Maryland?

The current nitrogen dioxide (NO2) levels at Bel Air South, Maryland is 2.974 ppb.

Real-time air quality index in Bel Air South, Maryland today

Q: What are the current PM2.5 levels in Bel Air South, Maryland?

The measured PM2.5 levels in Bel Air South, Maryland at present are 3.526 μg/m3.

Stay updated with real-time air quality in Bel Air South, Maryland featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Bel Air South, Maryland

Last updated: ... (Local time)

Common air pollutants in Bel Air South, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.53 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.72 μg/m³

155

255

425

605+

Ozone (O₃)

29.66 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.97 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Bel Air South, Maryland

Get Live Pollen Counts

Bel Air South, Maryland

Scroll To Air Quality Map

Track live Bel Air South, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T00:00:00.000Z	38 \| good	6.588 \| good	27.33 \| good	18.3 \| good	0.267 \| good	6.097 \| good	0.277 \| good
2026-10-04T01:00:00.000Z	38 \| good	6.787 \| good	29.844 \| good	12.003 \| good	0.229 \| good	7.375 \| good	0.247 \| good
2026-10-04T02:00:00.000Z	33 \| good	6.401 \| good	25.997 \| good	12.149 \| good	0.277 \| good	7.332 \| good	0.289 \| good
2026-10-04T03:00:00.000Z	16 \| good	3.038 \| good	12 \| good	17.317 \| good	0.714 \| good	7.143 \| good	0.19 \| good
2026-10-04T04:00:00.000Z	33 \| good	6.358 \| good	28.015 \| good	17.61 \| good	0.173 \| good	8.254 \| good	0.302 \| good
2026-10-04T05:00:00.000Z	27 \| good	5.064 \| good	22.597 \| good	15.15 \| good	0.179 \| good	7.447 \| good	0.338 \| good
2026-10-04T06:00:00.000Z	33 \| good	5.869 \| good	25.759 \| good	17.242 \| good	0.112 \| good	5.009 \| good	0.229 \| good
2026-10-04T07:00:00.000Z	33 \| good	5.785 \| good	25.172 \| good	17.242 \| good	0.114 \| good	4.147 \| good	0.229 \| good
2026-10-04T08:00:00.000Z	27 \| good	5.147 \| good	22.488 \| good	16.503 \| good	0.215 \| good	3.505 \| good	0.186 \| good
2026-10-04T09:00:00.000Z	22 \| good	4.267 \| good	19.297 \| good	14.284 \| good	0.156 \| good	3.216 \| good	0.17 \| good
2026-10-04T10:00:00.000Z	27 \| good	4.902 \| good	20.968 \| good	13.873 \| good	0.182 \| good	3.96 \| good	0.177 \| good
2026-10-04T11:00:00.000Z	33 \| good	5.885 \| good	26.089 \| good	14.001 \| good	0.231 \| good	4.015 \| good	0.152 \| good
2026-10-04T12:00:00.000Z	33 \| good	5.535 \| good	24.451 \| good	16.887 \| good	0.114 \| good	3.985 \| good	0.177 \| good
2026-10-04T13:00:00.000Z	17 \| good	2.73 \| good	10.906 \| good	17.521 \| good	0.531 \| good	3.858 \| good	0.143 \| good
2026-10-04T14:00:00.000Z	19 \| good	3.246 \| good	15.055 \| good	20.771 \| good	0.145 \| good	3.525 \| good	0.194 \| good
2026-10-04T15:00:00.000Z	20 \| good	2.764 \| good	12.516 \| good	21.858 \| good	0.153 \| good	3.294 \| good	0.229 \| good
2026-10-04T16:00:00.000Z	21 \| good	2.505 \| good	10.013 \| good	23.454 \| good	0.208 \| good	2.916 \| good	0.195 \| good
2026-10-04T17:00:00.000Z	21 \| good	2.339 \| good	10.465 \| good	23.459 \| good	0.217 \| good	2.872 \| good	0.211 \| good
2026-10-04T18:00:00.000Z	22 \| good	3.746 \| good	17.134 \| good	21.318 \| good	0.18 \| good	2.47 \| good	0.229 \| good
2026-10-04T19:00:00.000Z	17 \| good	3.404 \| good	14.737 \| good	17.635 \| good	0.162 \| good	2.554 \| good	0.229 \| good
2026-10-04T20:00:00.000Z	17 \| good	2.828 \| good	12.869 \| good	17.796 \| good	0.312 \| good	2.628 \| good	0.211 \| good
2026-10-04T21:00:00.000Z	18 \| good	2.492 \| good	10.309 \| good	18.507 \| good	0.278 \| good	2.893 \| good	0.211 \| good
2026-10-04T22:00:00.000Z	16 \| good	1.649 \| good	6.994 \| good	17.441 \| good	0.312 \| good	3.31 \| good	0.211 \| good
2026-10-04T23:00:00.000Z	17 \| good	1.851 \| good	7.563 \| good	18.373 \| good	0.323 \| good	3.838 \| good	0.211 \| good
2026-10-05T00:00:00.000Z	15 \| good	2.027 \| good	8.24 \| good	15.841 \| good	0.312 \| good	3.854 \| good	0.237 \| good
2026-10-05T01:00:00.000Z	16 \| good	2.52 \| good	11.103 \| good	15.408 \| good	0.312 \| good	4.247 \| good	0.237 \| good
2026-10-05T02:00:00.000Z	16 \| good	2.609 \| good	11.502 \| good	16.268 \| good	0.318 \| good	5.092 \| good	0.229 \| good
2026-10-05T03:00:00.000Z	27 \| good	5.148 \| good	22.521 \| good	6.791 \| good	0.827 \| good	11.716 \| good	0.204 \| good
2026-10-05T04:00:00.000Z	12 \| good	1.751 \| good	8.038 \| good	12.934 \| good	0.23 \| good	7.302 \| good	0.211 \| good
2026-10-05T05:00:00.000Z	11 \| good	1.973 \| good	8.082 \| good	12.007 \| good	0.22 \| good	7.19 \| good	0.234 \| good
2026-10-05T06:00:00.000Z	11 \| good	2.399 \| good	11.03 \| good	10.154 \| good	0.309 \| good	5.784 \| good	0.211 \| good
2026-10-05T07:00:00.000Z	11 \| good	2.386 \| good	11.122 \| good	10.154 \| good	0.303 \| good	5.545 \| good	0.301 \| good
2026-10-05T08:00:00.000Z	11 \| good	1.927 \| good	7.057 \| good	9.43 \| good	0.299 \| good	6.764 \| good	0.265 \| good
2026-10-05T09:00:00.000Z	16 \| good	2.883 \| good	11.47 \| good	9.624 \| good	0.313 \| good	6.321 \| good	0.229 \| good
2026-10-05T10:00:00.000Z	16 \| good	3.463 \| good	14.815 \| good	8.155 \| good	0.344 \| good	7.074 \| good	0.195 \| good
2026-10-05T11:00:00.000Z	16 \| good	2.72 \| good	11.112 \| good	8.77 \| good	0.296 \| good	8.345 \| good	0.195 \| good
2026-10-05T12:00:00.000Z	11 \| good	2.282 \| good	11.727 \| good	7.725 \| good	0.331 \| good	7.994 \| good	0.211 \| good
2026-10-05T13:00:00.000Z	11 \| good	2.283 \| good	10.943 \| good	7.94 \| good	0.284 \| good	8.201 \| good	0.211 \| good
2026-10-05T14:00:00.000Z	22 \| good	4.451 \| good	16.425 \| good	9.081 \| good	0.365 \| good	6.176 \| good	0.211 \| good
2026-10-05T15:00:00.000Z	22 \| good	4.112 \| good	17.046 \| good	13.752 \| good	0.372 \| good	4.386 \| good	0.229 \| good
2026-10-05T16:00:00.000Z	27 \| good	4.824 \| good	20.786 \| good	17.985 \| good	0.354 \| good	3.852 \| good	0.229 \| good
2026-10-05T17:00:00.000Z	27 \| good	4.573 \| good	20.839 \| good	21.765 \| good	0.407 \| good	2.956 \| good	0.168 \| good
2026-10-05T18:00:00.000Z	27 \| good	4.907 \| good	22.61 \| good	22.701 \| good	0.474 \| good	2.638 \| good	0.152 \| good
2026-10-05T19:00:00.000Z	29 \| good	5.178 \| good	21.732 \| good	30.83 \| good	0.531 \| good	2.478 \| good	0.152 \| good
2026-10-05T20:00:00.000Z	31 \| good	4.924 \| good	20.811 \| good	32.633 \| good	0.24 \| good	2.703 \| good	0.152 \| good
2026-10-05T21:00:00.000Z	31 \| good	3.774 \| good	16.496 \| good	33.789 \| good	0.229 \| good	2.575 \| good	0.152 \| good
2026-10-05T22:00:00.000Z	28 \| good	3.526 \| good	15.725 \| good	29.655 \| good	0.212 \| good	2.974 \| good	0.152 \| good
2026-10-05T23:00:00.000Z	28 \| good	3.526 \| good	15.725 \| good	29.655 \| good	0.212 \| good	2.974 \| good	0.152 \| good
2026-10-06T00:00:00.000Z	22 \| good	3.819 \| good	16.715 \| good	11.44 \| good	0.427 \| good	3.892 \| good	0.158 \| good
2026-10-06T01:00:00.000Z	16 \| good	2.683 \| good	11.089 \| good	9.746 \| good	0.44 \| good	4.004 \| good	0.157 \| good
2026-10-06T02:00:00.000Z	11 \| good	2.183 \| good	8.577 \| good	10.563 \| good	0.44 \| good	3.641 \| good	0.151 \| good
2026-10-06T03:00:00.000Z	12 \| good	1.645 \| good	6.53 \| good	12.717 \| good	0.429 \| good	3.389 \| good	0.146 \| good
2026-10-06T04:00:00.000Z	13 \| good	1.201 \| good	5.164 \| good	13.938 \| good	0.418 \| good	3.183 \| good	0.144 \| good
2026-10-06T05:00:00.000Z	16 \| good	3.292 \| good	14.579 \| good	16.616 \| good	0.405 \| good	2.851 \| good	0.141 \| good
2026-10-06T06:00:00.000Z	18 \| good	3.252 \| good	14.088 \| good	18.85 \| good	0.399 \| good	2.658 \| good	0.138 \| good
2026-10-06T07:00:00.000Z	18 \| good	3.156 \| good	13.88 \| good	18.559 \| good	0.399 \| good	2.626 \| good	0.138 \| good
2026-10-06T08:00:00.000Z	17 \| good	3.295 \| good	14.601 \| good	18.043 \| good	0.409 \| good	2.701 \| good	0.139 \| good
2026-10-06T09:00:00.000Z	22 \| good	4.339 \| good	18.796 \| good	10.899 \| good	0.426 \| good	2.82 \| good	0.14 \| good
2026-10-06T10:00:00.000Z	27 \| good	4.583 \| good	19.819 \| good	10.065 \| good	0.449 \| good	3.03 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	33 \| good	5.717 \| good	24.593 \| good	9.821 \| good	0.479 \| good	3.493 \| good	0.146 \| good
2026-10-06T12:00:00.000Z	27 \| good	4.666 \| good	20.02 \| good	14.927 \| good	0.501 \| good	4.011 \| good	0.157 \| good
2026-10-06T13:00:00.000Z	22 \| good	4.083 \| good	17.966 \| good	20.133 \| good	0.579 \| good	3.123 \| good	0.16 \| good
2026-10-06T14:00:00.000Z	22 \| good	3.831 \| good	16.924 \| good	23.388 \| good	0.717 \| good	1.886 \| good	0.147 \| good
2026-10-06T15:00:00.000Z	23 \| good	3.63 \| good	15.959 \| good	25.239 \| good	0.743 \| good	1.415 \| good	0.143 \| good
2026-10-06T16:00:00.000Z	24 \| good	3.226 \| good	13.164 \| good	25.751 \| good	0.747 \| good	1.172 \| good	0.142 \| good
2026-10-06T17:00:00.000Z	26 \| good	3.802 \| good	16.836 \| good	27.833 \| good	0.744 \| good	1.001 \| good	0.141 \| good
2026-10-06T18:00:00.000Z	29 \| good	2.193 \| good	8.957 \| good	31.134 \| good	0.734 \| good	0.9 \| good	0.14 \| good
2026-10-06T19:00:00.000Z	31 \| good	0.876 \| good	3.489 \| good	34.199 \| good	0.723 \| good	0.893 \| good	0.141 \| good
2026-10-06T20:00:00.000Z	31 \| good	0.641 \| good	2.309 \| good	33.074 \| good	0.715 \| good	0.952 \| good	0.141 \| good
2026-10-06T21:00:00.000Z	27 \| good	0.819 \| good	3.186 \| good	28.914 \| good	0.71 \| good	1.178 \| good	0.142 \| good
2026-10-06T22:00:00.000Z	22 \| good	2.984 \| good	11.837 \| good	23.895 \| good	0.659 \| good	3.726 \| good	0.167 \| good
2026-10-06T23:00:00.000Z	33 \| good	5.842 \| good	25.728 \| good	18.986 \| good	0.719 \| good	12.43 \| good	0.243 \| good
2026-10-07T00:00:00.000Z	38 \| good	7.103 \| good	31.183 \| good	17.607 \| good	0.786 \| good	19.003 \| good	0.305 \| good
2026-10-07T01:00:00.000Z	38 \| good	6.897 \| good	30.576 \| good	18.695 \| good	0.844 \| good	22.142 \| good	0.345 \| good
2026-10-07T02:00:00.000Z	38 \| good	6.858 \| good	30.256 \| good	18.259 \| good	0.887 \| good	24.049 \| good	0.364 \| good
2026-10-07T03:00:00.000Z	33 \| good	6.263 \| good	27.81 \| good	18.902 \| good	0.92 \| good	25.532 \| good	0.376 \| good
2026-10-07T04:00:00.000Z	33 \| good	5.606 \| good	24.304 \| good	15.023 \| good	0.933 \| good	26.606 \| good	0.386 \| good
2026-10-07T05:00:00.000Z	38 \| good	6.512 \| good	29.311 \| good	13.357 \| good	0.931 \| good	26.462 \| good	0.384 \| good
2026-10-07T06:00:00.000Z	33 \| good	6.304 \| good	27.792 \| good	15.257 \| good	0.939 \| good	25.559 \| good	0.367 \| good
2026-10-07T07:00:00.000Z	27 \| good	5.216 \| good	22.744 \| good	14.451 \| good	0.962 \| good	23.997 \| good	0.345 \| good
2026-10-07T08:00:00.000Z	33 \| good	5.519 \| good	23.734 \| good	13.276 \| good	1 \| good	21.618 \| good	0.32 \| good
2026-10-07T09:00:00.000Z	49 \| good	8.512 \| good	37.292 \| good	9.934 \| good	1.036 \| good	19.456 \| good	0.3 \| good
2026-10-07T10:00:00.000Z	52 \| moderate	9.591 \| good	42.6 \| good	13.228 \| good	1.062 \| good	17.556 \| good	0.282 \| good
2026-10-07T11:00:00.000Z	49 \| good	9.473 \| good	42.4 \| good	14.093 \| good	1.076 \| good	16.017 \| good	0.268 \| good
2026-10-07T12:00:00.000Z	38 \| good	7.281 \| good	32.268 \| good	20.185 \| good	1.05 \| good	13.168 \| good	0.264 \| good
2026-10-07T13:00:00.000Z	33 \| good	5.856 \| good	25.561 \| good	28.043 \| good	1.026 \| good	9.403 \| good	0.252 \| good
2026-10-07T14:00:00.000Z	33 \| good	5.636 \| good	24.14 \| good	30.825 \| good	1.085 \| good	6.313 \| good	0.212 \| good
2026-10-07T15:00:00.000Z	38 \| good	6.782 \| good	29.961 \| good	30.279 \| good	0.986 \| good	3.568 \| good	0.179 \| good
2026-10-07T16:00:00.000Z	38 \| good	6.862 \| good	30.708 \| good	34.33 \| good	0.89 \| good	2.406 \| good	0.168 \| good
2026-10-07T17:00:00.000Z	38 \| good	6.422 \| good	28.852 \| good	40.843 \| good	0.842 \| good	1.794 \| good	0.165 \| good
2026-10-07T18:00:00.000Z	43 \| good	6.461 \| good	28.812 \| good	46.447 \| good	0.814 \| good	1.461 \| good	0.164 \| good
2026-10-07T19:00:00.000Z	46 \| good	6.431 \| good	28.325 \| good	49.788 \| good	0.795 \| good	1.334 \| good	0.164 \| good
2026-10-07T20:00:00.000Z	45 \| good	6.314 \| good	28.207 \| good	48.505 \| good	0.781 \| good	1.362 \| good	0.165 \| good
2026-10-07T21:00:00.000Z	42 \| good	6.775 \| good	30.21 \| good	44.614 \| good	0.764 \| good	1.644 \| good	0.166 \| good
2026-10-07T22:00:00.000Z	44 \| good	8.11 \| good	35.705 \| good	38.466 \| good	0.721 \| good	3.141 \| good	0.176 \| good
2026-10-07T23:00:00.000Z	38 \| good	7.154 \| good	31.73 \| good	38.936 \| good	0.706 \| good	5.287 \| good	0.191 \| good

Bel Air South

Empower business decisions with accurate air quality data

Bel Air South, Maryland air quality map: Real-time AQI near you

0.15ppm

How accurate is Maryland, USA air quality data?

Air quality measurements for Maryland, USA meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for Bel Air South, Maryland updated?

Air quality data for Bel Air South, Maryland is updated on an hourly basis.

When did Bel Air South, Maryland experience the worst air quality in the last 24 hours?

The worst air quality in Bel Air South, Maryland was recorded at 09:00:00 on 2026-10-05.

When did Bel Air South, Maryland have its best air quality in the last 24 hours?

The best air quality in Bel Air South, Maryland was recorded at 01:00:00 on 2026-10-05.

What is the real-time air quality index for Bel Air South, Maryland?

The real-time air quality index in Bel Air South, Maryland is 28, currently categorized as Good.

Which pollutant is found most often in Bel Air South, Maryland?

The most common pollutant in Bel Air South, Maryland is O3.

What can I do if the air quality in Bel Air South, Maryland is poor?

If the air quality in Bel Air South, Maryland is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Bel Air South, Maryland?

The measured PM_2.5 levels in Bel Air South, Maryland at present are 3.526 μg/m³.

What are the current PM₁₀ levels at Bel Air South, Maryland?

The current PM₁₀ levels in Bel Air South, Maryland are 15.725 μg/m³.

What are the current carbon monoxide (CO) levels at Bel Air South, Maryland?

The current carbon monoxide (CO) level in Bel Air South, Maryland is 0.152 ppm.

What are the current sulfur dioxide (SO₂) levels at Bel Air South, Maryland?

The current sulfur dioxide (SO₂) levels in Bel Air South, Maryland are 0.212 ppb.

What are the current ozone (O₃) levels at Bel Air South, Maryland?

The current ozone (O₃) levels at Bel Air South, Maryland is 29.655 ppm.

What are the current nitrogen dioxide (NO₂) levels at Bel Air South, Maryland?

The current nitrogen dioxide (NO₂) levels at Bel Air South, Maryland is 2.974 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T00:00:00.000Z	38 \| good	6.588 \| good	27.33 \| good	18.3 \| good	0.267 \| good	6.097 \| good	0.277 \| good
2026-10-04T01:00:00.000Z	38 \| good	6.787 \| good	29.844 \| good	12.003 \| good	0.229 \| good	7.375 \| good	0.247 \| good
2026-10-04T02:00:00.000Z	33 \| good	6.401 \| good	25.997 \| good	12.149 \| good	0.277 \| good	7.332 \| good	0.289 \| good
2026-10-04T03:00:00.000Z	16 \| good	3.038 \| good	12 \| good	17.317 \| good	0.714 \| good	7.143 \| good	0.19 \| good
2026-10-04T04:00:00.000Z	33 \| good	6.358 \| good	28.015 \| good	17.61 \| good	0.173 \| good	8.254 \| good	0.302 \| good
2026-10-04T05:00:00.000Z	27 \| good	5.064 \| good	22.597 \| good	15.15 \| good	0.179 \| good	7.447 \| good	0.338 \| good
2026-10-04T06:00:00.000Z	33 \| good	5.869 \| good	25.759 \| good	17.242 \| good	0.112 \| good	5.009 \| good	0.229 \| good
2026-10-04T07:00:00.000Z	33 \| good	5.785 \| good	25.172 \| good	17.242 \| good	0.114 \| good	4.147 \| good	0.229 \| good
2026-10-04T08:00:00.000Z	27 \| good	5.147 \| good	22.488 \| good	16.503 \| good	0.215 \| good	3.505 \| good	0.186 \| good
2026-10-04T09:00:00.000Z	22 \| good	4.267 \| good	19.297 \| good	14.284 \| good	0.156 \| good	3.216 \| good	0.17 \| good
2026-10-04T10:00:00.000Z	27 \| good	4.902 \| good	20.968 \| good	13.873 \| good	0.182 \| good	3.96 \| good	0.177 \| good
2026-10-04T11:00:00.000Z	33 \| good	5.885 \| good	26.089 \| good	14.001 \| good	0.231 \| good	4.015 \| good	0.152 \| good
2026-10-04T12:00:00.000Z	33 \| good	5.535 \| good	24.451 \| good	16.887 \| good	0.114 \| good	3.985 \| good	0.177 \| good
2026-10-04T13:00:00.000Z	17 \| good	2.73 \| good	10.906 \| good	17.521 \| good	0.531 \| good	3.858 \| good	0.143 \| good
2026-10-04T14:00:00.000Z	19 \| good	3.246 \| good	15.055 \| good	20.771 \| good	0.145 \| good	3.525 \| good	0.194 \| good
2026-10-04T15:00:00.000Z	20 \| good	2.764 \| good	12.516 \| good	21.858 \| good	0.153 \| good	3.294 \| good	0.229 \| good
2026-10-04T16:00:00.000Z	21 \| good	2.505 \| good	10.013 \| good	23.454 \| good	0.208 \| good	2.916 \| good	0.195 \| good
2026-10-04T17:00:00.000Z	21 \| good	2.339 \| good	10.465 \| good	23.459 \| good	0.217 \| good	2.872 \| good	0.211 \| good
2026-10-04T18:00:00.000Z	22 \| good	3.746 \| good	17.134 \| good	21.318 \| good	0.18 \| good	2.47 \| good	0.229 \| good
2026-10-04T19:00:00.000Z	17 \| good	3.404 \| good	14.737 \| good	17.635 \| good	0.162 \| good	2.554 \| good	0.229 \| good
2026-10-04T20:00:00.000Z	17 \| good	2.828 \| good	12.869 \| good	17.796 \| good	0.312 \| good	2.628 \| good	0.211 \| good
2026-10-04T21:00:00.000Z	18 \| good	2.492 \| good	10.309 \| good	18.507 \| good	0.278 \| good	2.893 \| good	0.211 \| good
2026-10-04T22:00:00.000Z	16 \| good	1.649 \| good	6.994 \| good	17.441 \| good	0.312 \| good	3.31 \| good	0.211 \| good
2026-10-04T23:00:00.000Z	17 \| good	1.851 \| good	7.563 \| good	18.373 \| good	0.323 \| good	3.838 \| good	0.211 \| good
2026-10-05T00:00:00.000Z	15 \| good	2.027 \| good	8.24 \| good	15.841 \| good	0.312 \| good	3.854 \| good	0.237 \| good
2026-10-05T01:00:00.000Z	16 \| good	2.52 \| good	11.103 \| good	15.408 \| good	0.312 \| good	4.247 \| good	0.237 \| good
2026-10-05T02:00:00.000Z	16 \| good	2.609 \| good	11.502 \| good	16.268 \| good	0.318 \| good	5.092 \| good	0.229 \| good
2026-10-05T03:00:00.000Z	27 \| good	5.148 \| good	22.521 \| good	6.791 \| good	0.827 \| good	11.716 \| good	0.204 \| good
2026-10-05T04:00:00.000Z	12 \| good	1.751 \| good	8.038 \| good	12.934 \| good	0.23 \| good	7.302 \| good	0.211 \| good
2026-10-05T05:00:00.000Z	11 \| good	1.973 \| good	8.082 \| good	12.007 \| good	0.22 \| good	7.19 \| good	0.234 \| good
2026-10-05T06:00:00.000Z	11 \| good	2.399 \| good	11.03 \| good	10.154 \| good	0.309 \| good	5.784 \| good	0.211 \| good
2026-10-05T07:00:00.000Z	11 \| good	2.386 \| good	11.122 \| good	10.154 \| good	0.303 \| good	5.545 \| good	0.301 \| good
2026-10-05T08:00:00.000Z	11 \| good	1.927 \| good	7.057 \| good	9.43 \| good	0.299 \| good	6.764 \| good	0.265 \| good
2026-10-05T09:00:00.000Z	16 \| good	2.883 \| good	11.47 \| good	9.624 \| good	0.313 \| good	6.321 \| good	0.229 \| good
2026-10-05T10:00:00.000Z	16 \| good	3.463 \| good	14.815 \| good	8.155 \| good	0.344 \| good	7.074 \| good	0.195 \| good
2026-10-05T11:00:00.000Z	16 \| good	2.72 \| good	11.112 \| good	8.77 \| good	0.296 \| good	8.345 \| good	0.195 \| good
2026-10-05T12:00:00.000Z	11 \| good	2.282 \| good	11.727 \| good	7.725 \| good	0.331 \| good	7.994 \| good	0.211 \| good
2026-10-05T13:00:00.000Z	11 \| good	2.283 \| good	10.943 \| good	7.94 \| good	0.284 \| good	8.201 \| good	0.211 \| good
2026-10-05T14:00:00.000Z	22 \| good	4.451 \| good	16.425 \| good	9.081 \| good	0.365 \| good	6.176 \| good	0.211 \| good
2026-10-05T15:00:00.000Z	22 \| good	4.112 \| good	17.046 \| good	13.752 \| good	0.372 \| good	4.386 \| good	0.229 \| good
2026-10-05T16:00:00.000Z	27 \| good	4.824 \| good	20.786 \| good	17.985 \| good	0.354 \| good	3.852 \| good	0.229 \| good
2026-10-05T17:00:00.000Z	27 \| good	4.573 \| good	20.839 \| good	21.765 \| good	0.407 \| good	2.956 \| good	0.168 \| good
2026-10-05T18:00:00.000Z	27 \| good	4.907 \| good	22.61 \| good	22.701 \| good	0.474 \| good	2.638 \| good	0.152 \| good
2026-10-05T19:00:00.000Z	29 \| good	5.178 \| good	21.732 \| good	30.83 \| good	0.531 \| good	2.478 \| good	0.152 \| good
2026-10-05T20:00:00.000Z	31 \| good	4.924 \| good	20.811 \| good	32.633 \| good	0.24 \| good	2.703 \| good	0.152 \| good
2026-10-05T21:00:00.000Z	31 \| good	3.774 \| good	16.496 \| good	33.789 \| good	0.229 \| good	2.575 \| good	0.152 \| good
2026-10-05T22:00:00.000Z	28 \| good	3.526 \| good	15.725 \| good	29.655 \| good	0.212 \| good	2.974 \| good	0.152 \| good
2026-10-05T23:00:00.000Z	28 \| good	3.526 \| good	15.725 \| good	29.655 \| good	0.212 \| good	2.974 \| good	0.152 \| good
2026-10-06T00:00:00.000Z	22 \| good	3.819 \| good	16.715 \| good	11.44 \| good	0.427 \| good	3.892 \| good	0.158 \| good
2026-10-06T01:00:00.000Z	16 \| good	2.683 \| good	11.089 \| good	9.746 \| good	0.44 \| good	4.004 \| good	0.157 \| good
2026-10-06T02:00:00.000Z	11 \| good	2.183 \| good	8.577 \| good	10.563 \| good	0.44 \| good	3.641 \| good	0.151 \| good
2026-10-06T03:00:00.000Z	12 \| good	1.645 \| good	6.53 \| good	12.717 \| good	0.429 \| good	3.389 \| good	0.146 \| good
2026-10-06T04:00:00.000Z	13 \| good	1.201 \| good	5.164 \| good	13.938 \| good	0.418 \| good	3.183 \| good	0.144 \| good
2026-10-06T05:00:00.000Z	16 \| good	3.292 \| good	14.579 \| good	16.616 \| good	0.405 \| good	2.851 \| good	0.141 \| good
2026-10-06T06:00:00.000Z	18 \| good	3.252 \| good	14.088 \| good	18.85 \| good	0.399 \| good	2.658 \| good	0.138 \| good
2026-10-06T07:00:00.000Z	18 \| good	3.156 \| good	13.88 \| good	18.559 \| good	0.399 \| good	2.626 \| good	0.138 \| good
2026-10-06T08:00:00.000Z	17 \| good	3.295 \| good	14.601 \| good	18.043 \| good	0.409 \| good	2.701 \| good	0.139 \| good
2026-10-06T09:00:00.000Z	22 \| good	4.339 \| good	18.796 \| good	10.899 \| good	0.426 \| good	2.82 \| good	0.14 \| good
2026-10-06T10:00:00.000Z	27 \| good	4.583 \| good	19.819 \| good	10.065 \| good	0.449 \| good	3.03 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	33 \| good	5.717 \| good	24.593 \| good	9.821 \| good	0.479 \| good	3.493 \| good	0.146 \| good
2026-10-06T12:00:00.000Z	27 \| good	4.666 \| good	20.02 \| good	14.927 \| good	0.501 \| good	4.011 \| good	0.157 \| good
2026-10-06T13:00:00.000Z	22 \| good	4.083 \| good	17.966 \| good	20.133 \| good	0.579 \| good	3.123 \| good	0.16 \| good
2026-10-06T14:00:00.000Z	22 \| good	3.831 \| good	16.924 \| good	23.388 \| good	0.717 \| good	1.886 \| good	0.147 \| good
2026-10-06T15:00:00.000Z	23 \| good	3.63 \| good	15.959 \| good	25.239 \| good	0.743 \| good	1.415 \| good	0.143 \| good
2026-10-06T16:00:00.000Z	24 \| good	3.226 \| good	13.164 \| good	25.751 \| good	0.747 \| good	1.172 \| good	0.142 \| good
2026-10-06T17:00:00.000Z	26 \| good	3.802 \| good	16.836 \| good	27.833 \| good	0.744 \| good	1.001 \| good	0.141 \| good
2026-10-06T18:00:00.000Z	29 \| good	2.193 \| good	8.957 \| good	31.134 \| good	0.734 \| good	0.9 \| good	0.14 \| good
2026-10-06T19:00:00.000Z	31 \| good	0.876 \| good	3.489 \| good	34.199 \| good	0.723 \| good	0.893 \| good	0.141 \| good
2026-10-06T20:00:00.000Z	31 \| good	0.641 \| good	2.309 \| good	33.074 \| good	0.715 \| good	0.952 \| good	0.141 \| good
2026-10-06T21:00:00.000Z	27 \| good	0.819 \| good	3.186 \| good	28.914 \| good	0.71 \| good	1.178 \| good	0.142 \| good
2026-10-06T22:00:00.000Z	22 \| good	2.984 \| good	11.837 \| good	23.895 \| good	0.659 \| good	3.726 \| good	0.167 \| good
2026-10-06T23:00:00.000Z	33 \| good	5.842 \| good	25.728 \| good	18.986 \| good	0.719 \| good	12.43 \| good	0.243 \| good
2026-10-07T00:00:00.000Z	38 \| good	7.103 \| good	31.183 \| good	17.607 \| good	0.786 \| good	19.003 \| good	0.305 \| good
2026-10-07T01:00:00.000Z	38 \| good	6.897 \| good	30.576 \| good	18.695 \| good	0.844 \| good	22.142 \| good	0.345 \| good
2026-10-07T02:00:00.000Z	38 \| good	6.858 \| good	30.256 \| good	18.259 \| good	0.887 \| good	24.049 \| good	0.364 \| good
2026-10-07T03:00:00.000Z	33 \| good	6.263 \| good	27.81 \| good	18.902 \| good	0.92 \| good	25.532 \| good	0.376 \| good
2026-10-07T04:00:00.000Z	33 \| good	5.606 \| good	24.304 \| good	15.023 \| good	0.933 \| good	26.606 \| good	0.386 \| good
2026-10-07T05:00:00.000Z	38 \| good	6.512 \| good	29.311 \| good	13.357 \| good	0.931 \| good	26.462 \| good	0.384 \| good
2026-10-07T06:00:00.000Z	33 \| good	6.304 \| good	27.792 \| good	15.257 \| good	0.939 \| good	25.559 \| good	0.367 \| good
2026-10-07T07:00:00.000Z	27 \| good	5.216 \| good	22.744 \| good	14.451 \| good	0.962 \| good	23.997 \| good	0.345 \| good
2026-10-07T08:00:00.000Z	33 \| good	5.519 \| good	23.734 \| good	13.276 \| good	1 \| good	21.618 \| good	0.32 \| good
2026-10-07T09:00:00.000Z	49 \| good	8.512 \| good	37.292 \| good	9.934 \| good	1.036 \| good	19.456 \| good	0.3 \| good
2026-10-07T10:00:00.000Z	52 \| moderate	9.591 \| good	42.6 \| good	13.228 \| good	1.062 \| good	17.556 \| good	0.282 \| good
2026-10-07T11:00:00.000Z	49 \| good	9.473 \| good	42.4 \| good	14.093 \| good	1.076 \| good	16.017 \| good	0.268 \| good
2026-10-07T12:00:00.000Z	38 \| good	7.281 \| good	32.268 \| good	20.185 \| good	1.05 \| good	13.168 \| good	0.264 \| good
2026-10-07T13:00:00.000Z	33 \| good	5.856 \| good	25.561 \| good	28.043 \| good	1.026 \| good	9.403 \| good	0.252 \| good
2026-10-07T14:00:00.000Z	33 \| good	5.636 \| good	24.14 \| good	30.825 \| good	1.085 \| good	6.313 \| good	0.212 \| good
2026-10-07T15:00:00.000Z	38 \| good	6.782 \| good	29.961 \| good	30.279 \| good	0.986 \| good	3.568 \| good	0.179 \| good
2026-10-07T16:00:00.000Z	38 \| good	6.862 \| good	30.708 \| good	34.33 \| good	0.89 \| good	2.406 \| good	0.168 \| good
2026-10-07T17:00:00.000Z	38 \| good	6.422 \| good	28.852 \| good	40.843 \| good	0.842 \| good	1.794 \| good	0.165 \| good
2026-10-07T18:00:00.000Z	43 \| good	6.461 \| good	28.812 \| good	46.447 \| good	0.814 \| good	1.461 \| good	0.164 \| good
2026-10-07T19:00:00.000Z	46 \| good	6.431 \| good	28.325 \| good	49.788 \| good	0.795 \| good	1.334 \| good	0.164 \| good
2026-10-07T20:00:00.000Z	45 \| good	6.314 \| good	28.207 \| good	48.505 \| good	0.781 \| good	1.362 \| good	0.165 \| good
2026-10-07T21:00:00.000Z	42 \| good	6.775 \| good	30.21 \| good	44.614 \| good	0.764 \| good	1.644 \| good	0.166 \| good
2026-10-07T22:00:00.000Z	44 \| good	8.11 \| good	35.705 \| good	38.466 \| good	0.721 \| good	3.141 \| good	0.176 \| good
2026-10-07T23:00:00.000Z	38 \| good	7.154 \| good	31.73 \| good	38.936 \| good	0.706 \| good	5.287 \| good	0.191 \| good

Real-time air quality index in Bel Air South, Maryland today

Common air pollutants in Bel Air South, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Bel Air South, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

Bel Air South, Maryland air quality map: Real-time AQI near you

Air quality in nearby cities

Bel Air Town, Maryland

Bel Air North, Maryland

Joppatowne, Maryland

Edgewood, Maryland

Aberdeen, Maryland

Honeygo, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Bel Air South, Maryland updated?

When did Bel Air South, Maryland experience the worst air quality in the last 24 hours?

When did Bel Air South, Maryland have its best air quality in the last 24 hours?

What is the real-time air quality index for Bel Air South, Maryland?

Which pollutant is found most often in Bel Air South, Maryland?

What can I do if the air quality in Bel Air South, Maryland is poor?

What are the current PM2.5 levels in Bel Air South, Maryland?

What are the current PM10 levels at Bel Air South, Maryland?

What are the current carbon monoxide (CO) levels at Bel Air South, Maryland?

What are the current sulfur dioxide (SO2) levels at Bel Air South, Maryland?

What are the current ozone (O3) levels at Bel Air South, Maryland?

What are the current nitrogen dioxide (NO2) levels at Bel Air South, Maryland?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Bel Air South, Maryland?

What are the current PM₁₀ levels at Bel Air South, Maryland?

What are the current sulfur dioxide (SO₂) levels at Bel Air South, Maryland?

What are the current ozone (O₃) levels at Bel Air South, Maryland?

What are the current nitrogen dioxide (NO₂) levels at Bel Air South, Maryland?