Noida in the past 24 hours
275 AQI
Down 58 since this time yesterday
CPCB's average of Noida's stations for 11pm, November 3
Official AQI bulletin figure, November 3: 291Poor or worse for 3 days
- Main pollutant
- Fine particles
- PM2.5 · leads at 6 of 6 stations
- Wind
- Calm
- still air
- Safdarjung, 11.30pm
- Farm fires
- Farm fires spotted by NASA's satellite in Punjab and Haryana: October 27, 65; October 28, 138; October 29, 157; October 30, 55; October 31, 106; November 1, 171; November 2, 167.
- Punjab and Haryana · NASA, an undercount
Noida's official daily AQI since October 1:1 Very Poor14 Poor16 Moderate3 Satisfactory
The Air We Breathe · HT Pollution Dashboard
Your location and searches stay on your device. Your phone then asks us for the nearest station's figures.
Noida's main pollutants in the past 24 hours
PM2.5 (fine particles) has been the main pollutant at every reporting Noida station over the past 24 hours.
Each pollutant's score at Noida's 6 reporting stations, on CPCB's 0 to 500 scale. The line runs from the lowest station to the highest; the dot is the middle station.
| Pollutant | Lowest to highest station | Middle station |
|---|---|---|
| PM2.5fine particles | Middle station 268, Poor; lowest 155, highest 404. | 268Poor |
| PM10coarse particles | Middle station 186, Moderate; lowest 123, highest 353. | 186Moderate |
| COcarbon monoxide | Middle station 85, Satisfactory; lowest 64, highest 93. | 85Satisfactory |
| NO2nitrogen dioxide | Middle station 52, Satisfactory; lowest 19, highest 84. | 52Satisfactory |
| O3ozone | Middle station 31, Good; lowest 23, highest 39. | 31Good |
| NH3ammonia | Middle station 15, Good; lowest 9, highest 20. | 15Good |
| SO2sulphur dioxide | Middle station 8, Good; lowest 3, highest 11. | 8Good |
| 0100200300400500 |
Each score is CPCB's running average: over the past 24 hours for PM2.5, PM10, nitrogen dioxide, sulphur dioxide and ammonia, over the past 8 hours for ozone and carbon monoxide.
The mix differs from station to station.
Noida: hour by hour, the past day
Show the numbers
| Time | AQI | Category |
|---|---|---|
| 11pm, November 3 | 275 | Poor |
| 10pm, November 3 | 273 | Poor |
| 9pm, November 3 | 275 | Poor |
| 8pm, November 3 | 279 | Poor |
| 7pm, November 3 | 282 | Poor |
| 6pm, November 3 | 286 | Poor |
| 5pm, November 3 | 289 | Poor |
| 4pm, November 3 | 291 | Poor |
| 3pm, November 3 | 294 | Poor |
| 2pm, November 3 | 295 | Poor |
| 1pm, November 3 | 296 | Poor |
| 12pm, November 3 | 296 | Poor |
| 11am, November 3 | 299 | Poor |
| 10am, November 3 | 301 | Very Poor |
| 9am, November 3 | 304 | Very Poor |
| 8am, November 3 | 306 | Very Poor |
| 7am, November 3 | 307 | Very Poor |
| 6am, November 3 | 310 | Very Poor |
| 5am, November 3 | 312 | Very Poor |
| 4am, November 3 | 315 | Very Poor |
| 3am, November 3 | 319 | Very Poor |
| 2am, November 3 | 323 | Very Poor |
| 1am, November 3 | 327 | Very Poor |
| midnight, November 3 | 330 | Very Poor |
| 11pm, November 2 | 333 | Very Poor |
About these figures
- At 11pm, PM2.5 (fine particles) led at 6 of Noida's 6 reporting stations.
- This hourly figure averages the city's monitoring stations. CPCB's official figure for the day is its 4pm bulletin, below.
- Each station is led by whichever pollutant scores highest on CPCB's 0 to 500 scale. Ozone forms from other pollutants in sunlight, so it can lead on sunny afternoons.
- Like each station's number, it is an average of recent hours, so it changes slowly.
Source: CPCB. Analysis: HT Pollution Dashboard.
Today's official AQI bulletin figure
Down 39 from 330 the day before.
Across India
Noida's figure was the 13th worst of the 272 cities in CPCB's bulletin for November 3.
The worst figures on November 3
| 1 | Gajraula | 399 |
|---|---|---|
| 2 | Baghpat, Uttar Pradesh | 360 |
| 3 | Delhi, Delhi | 350 |
| 4 | Bahadurgarh, Haryana | 324 |
| 5 | Panchgaon | 320 |
| 6 | Ballabgarh, Haryana | 319 |
| 7 | Khora | 318 |
| 8 | Manesar, Haryana | 309 |
| 9 | Gurugram, Haryana | 305 |
| 9 | Modinagar | 305 |
A city's figure can rest on one station or on dozens, so its place is a rough guide.
About these figures
- CPCB publishes one figure a day for each city, covering the 24 hours to 4pm on November 3. This one came out at 4.07pm. Read CPCB's bulletin (PDF)
- Based on 6 of Noida's 7 stations.
- Main pollutant: PM2.5 (fine particles).
- CPCB's six categories are Good (up to 50), Satisfactory (to 100), Moderate (to 200), Poor (to 300), Very Poor (to 400) and Severe (to 500).
- The daily figure averages the city's stations over the 24 hours to 4pm. The hourly figure above can differ from it.
Source: CPCB daily AQI bulletin. Analysis: HT Pollution Dashboard.
Stations across Delhi-NCR
Each dot is a monitoring station, coloured by CPCB's reading for 11pm, November 3.
Stations in Noida, highest first
Show the numbers
| Station | AQI | Category |
|---|---|---|
| Jahangirpuri, Delhi | 447 | Severe |
| Punjabi Bagh, Delhi | 440 | Severe |
| Mundka, Delhi | 435 | Severe |
| Rohini, Delhi | 433 | Severe |
| DTU, Delhi | 428 | Severe |
| Alipur, Delhi | 418 | Severe |
| IIT Delhi, Delhi | 418 | Severe |
| Vivek Vihar, Delhi | 416 | Severe |
| Narela, Delhi | 413 | Severe |
| Bawana, Delhi | 407 | Severe |
| Sector - 62, Noida | 404 | Severe |
| R K Puram, Delhi | 403 | Severe |
| Pusa, Delhi | 402 | Severe |
| North Campus, DU, Delhi | 397 | Very Poor |
| ITO, Delhi | 394 | Very Poor |
| Patparganj, Delhi | 393 | Very Poor |
| Sirifort, Delhi | 391 | Very Poor |
| Mandir Marg, Delhi | 390 | Very Poor |
| NIH Narela, Delhi | 390 | Very Poor |
| Dwarka-Sector 8, Delhi | 384 | Very Poor |
| Okhla Phase-2, Delhi | 384 | Very Poor |
| Jawaharlal Nehru Stadium, Delhi | 383 | Very Poor |
| Burari Crossing, Delhi | 379 | Very Poor |
| Pusa, Delhi | 379 | Very Poor |
| Dr. Karni Singh Shooting Range, Delhi | 377 | Very Poor |
| Major Dhyan Chand National Stadium, Delhi | 375 | Very Poor |
| Talkatora Garden, Delhi | 375 | Very Poor |
| Sector-39, Noida | 371 | Very Poor |
| CRRI Mathura Road, Delhi | 369 | Very Poor |
| Commonwealth Sports Complex, Delhi | 368 | Very Poor |
| JNU, Delhi | 364 | Very Poor |
| NSUT Jaffarpur, Delhi | 361 | Very Poor |
| Wazirpur, Delhi | 360 | Very Poor |
| Chandni Chowk, Delhi | 359 | Very Poor |
| Najafgarh, Delhi | 356 | Very Poor |
| Burari, Delhi | 354 | Very Poor |
| Aya Nagar, Delhi | 348 | Very Poor |
| NISE Gwal Pahari, Gurugram | 346 | Very Poor |
| Teri Gram, Gurugram | 345 | Very Poor |
| Ashok Vihar, Delhi | 344 | Very Poor |
| Shadipur, Delhi | 344 | Very Poor |
| Sector-150, Noida | 343 | Very Poor |
| Sector-51, Gurugram | 332 | Very Poor |
| Ghoga, Delhi | 330 | Very Poor |
| IGI Airport (T3), Delhi | 329 | Very Poor |
| Jharoda Kalan, Delhi | 320 | Very Poor |
| NSIT Dwarka, Delhi | 319 | Very Poor |
| Vasundhara Enclave, Delhi | 319 | Very Poor |
| Badarpur, Delhi | 318 | Very Poor |
| Nehru Nagar, Delhi | 317 | Very Poor |
| IHBAS, Dilshad Garden, Delhi | 306 | Very Poor |
| Tikri Kalan, Delhi | 306 | Very Poor |
| Wave City, Ghaziabad | 305 | Very Poor |
| Karala, Delhi | 304 | Very Poor |
| Loni, Ghaziabad | 301 | Very Poor |
| Uttam Nagar, Delhi | 301 | Very Poor |
| Ghummanhera, Delhi | 291 | Poor |
| Anand Vihar, Delhi | 283 | Poor |
| Sri Aurobindo Marg, Delhi | 283 | Poor |
| Maidan Garhi, Delhi | 278 | Poor |
| Cantonment Area, Delhi | 276 | Poor |
| IMD Lodhi Road, Delhi | 267 | Poor |
| Sanjay Nagar, Ghaziabad | 267 | Poor |
| Chhawla, Delhi | 265 | Poor |
| Vikas Sadan, Gurugram | 257 | Poor |
| IGNOU_Maidan Garhi, Delhi | 239 | Poor |
| Lodhi Road, Delhi | 228 | Poor |
| Knowledge Park - V, Greater Noida | 208 | Poor |
| Shiv Nadar University, Greater Noida | 198 | Moderate |
| Indirapuram, Ghaziabad | 194 | Moderate |
| Sector-116, Noida | 192 | Moderate |
| New Industrial Town, Faridabad | 186 | Moderate |
| Sector - 125, Noida | 185 | Moderate |
| Ved Vihar-Loni, Ghaziabad | 179 | Moderate |
| Vasundhara, Ghaziabad | 173 | Moderate |
| New Tehsil-Loni, Ghaziabad | 171 | Moderate |
| Govindpuram, Ghaziabad | 166 | Moderate |
| Sector-1, Noida | 155 | Moderate |
| Knowledge Park - III, Greater Noida | 153 | Moderate |
| Sector 30, Faridabad | 98 | Satisfactory |
| Sector 11, Faridabad | 85 | Satisfactory |
| Nangloi, Delhi | No figure this hour | |
| Sector-110, Noida | No figure this hour | |
| Sonia Vihar, Delhi | No figure this hour |
About these figures
- A hollow dot is a station with no reading for this hour.
- Your position, if you share it, is used only in your browser to place the ring. It is not sent to HT.
Source: CPCB. Analysis: HT Pollution Dashboard. District and state outlines: DataMeet (CC BY 4.0), simplified.
The weather and air quality
Delhi's air got worse than the day before: CPCB's official figure rose 26, from 324 on November 2 to 350 on November 3, Very Poor. It was the fourth day in a row the official figure rose: up 290 since October 30, from Satisfactory to Very Poor.
Also at play
- The air was calm overnight, but at dawn the lid of warm air sat higher than the morning before.
From the HT Pollution Dashboard's evening edition, 7.21pm.
These readings come from IMD's weather balloon and observatory at Safdarjung in Delhi, the closest reference point for Noida. The rain figures are Delhi's too: IMD's automatic weather stations and rain gauges in the region can only be read after signing in to IMD's network, and the air-quality monitors in Noida do not publish rainfall in their open data.
The wind now
Still air: pollution stays close to where it is made.
Safdarjung airfield, 11.30pm
Since the 4pm bulletin
No rain at Safdarjung since 4pm today. The wind has averaged 1 km/h, mostly from the west-south-west.
- Drier air moved in from about 8.30pm, the dew point at Safdarjung airfield falling from 23°C to as low as 18°C.
More on the inversion effect and how it influences air quality
The air across Delhi-NCR has a daily rhythm. A crucial part of it is known as the atmospheric inversion, when a lid of air impedes how much wind and emissions move close to the ground. At night a lid of warm air settles low over the region and holds the night's smoke near the ground. After sunrise the sun warms the ground, the lid lifts and pollution mixes upwards. By late afternoon the air has had all the room it will get that day; after sunset the lid forms again.
That is why HT reads IMD’s 4.30pm weather balloon: it shows the most room the day gave the city’s pollution to spread and thin out. If the lid lasts all day, pollution tends to stay high.
Normally the air is warmest at the ground and cools with height, so air warmed by the ground rises and carries pollution upwards. On clear, calm nights the ground cools fast and chills the air just above it, while the air higher up stays warmer. This upside-down layering is called an inversion. It works like a lid, because cold air below cannot rise through the warm layer, and the night's smoke and dust stay near the ground. The sun breaks the lid by warming the ground again. In October and November the afternoon sun almost always breaks the lid. Last winter it was still there at 4.30pm on 2 of 30 October afternoons and 1 of 30 in November.
How much the weather helps depends on both: how high the air can spread, and how fast the wind moves through it. The wind measured 10 metres above the ground at Safdarjung shows whether the air people breathe is moving. Calm hours let pollution build up near the ground, even when the air higher up has room to spread. The balloon readings show how much room the weather gave the air to clear. Whether it did clear also depends on the wind near the ground, so the two are read together.
Rain washes particles out of the air. A little rain does not always clean the air. Light drizzle can leave the air damp and still, and in past winters scant rain in Delhi has at times been followed by worse air, not better.
CPCB's figures average recent hours, so a change in the weather can take hours to show in them.
About these figures
- Today, 4.30am: a lid of warm air about 300 metres up, about 6°C warmer than the ground; the wind beneath it 11 km/h from the north-north-west.
- This afternoon: the air could spread about 600 metres up, with the wind through it averaging 20 km/h; the usual for early November is 1,300 metres and 13 km/h.
- This shows how much the weather let the air clear. It does not measure pollution or show where it came from.
- A weather balloon that IMD sends up at Safdarjung at 4.30pm measures how high pollution can spread. The 4.30am balloon measures the lid.
- The same balloon measures the wind through that air.
- The usual is the middle value for the same half-month over the six winters from 2019-20 to 2024-25, from the same balloon.
- One balloon at Safdarjung stands for all of Delhi-NCR.
- CPCB's daily figure covers the 24 hours to 4pm, so a change in the weather can show here before it shows in that figure.
Source: IMD weather balloon and observatory, Safdarjung. Analysis: HT Pollution Dashboard.
Noida: this season against past seasons
Noida's official figure averaged 214 over the week to November 3, the cleanest of the 10 years for that week, going back to 2017.
The official daily figure, October 1 to November 24
Dussehra (October 20) and Diwali (November 8) fall in this period.
Show the numbers
| Date | This season | Past middle |
|---|---|---|
| October 1 | 194 | 150 |
| October 2 | 202 | 169 |
| October 3 | 204 | 159 |
| October 4 | 281 | 176 |
| October 5 | 268 | 173 |
| October 6 | 189 | 136 |
| October 7 | 129 | 127 |
| October 8 | 158 | 147 |
| October 9 | 181 | 163 |
| October 10 | 110 | 170 |
| October 11 | 109 | 188 |
| October 12 | 74 | 180 |
| October 13 | 238 | 243 |
| October 14 | 201 | 230 |
| October 15 | 159 | 248 |
| October 16 | 83 | 268 |
| October 17 | 203 | 283 |
| October 18 | 170 | 243 |
| October 19 | 138 | 236 |
| October 20 | 161 | 240 |
| October 21 | 249 | 260 |
| October 22 | 242 | 290 |
| October 23 | 205 | 261 |
| October 24 | 191 | 305 |
| October 25 | 131 | 299 |
| October 26 | 157 | 280 |
| October 27 | 164 | 327 |
| October 28 | 246 | 301 |
| October 29 | 222 | 328 |
| October 30 | 58 | 332 |
| October 31 | 106 | 347 |
| November 1 | 248 | 344 |
| November 2 | 330 | 339 |
| November 3 | 291 | 333 |
| November 4 | 365 | |
| November 5 | 414 | |
| November 6 | 347 | |
| November 7 | 328 | |
| November 8 | 405 | |
| November 9 | 394 | |
| November 10 | 344 | |
| November 11 | 381 | |
| November 12 | 408 | |
| November 13 | 389 | |
| November 14 | 364 | |
| November 15 | 360 | |
| November 16 | 338 | |
| November 17 | 286 | |
| November 18 | 288 | |
| November 19 | 284 | |
| November 20 | 320 | |
| November 21 | 322 | |
| November 22 | 312 | |
| November 23 | 322 | |
| November 24 | 325 | |
| November 25 | 336 | |
| November 26 | 350 | |
| November 27 | 334 | |
| November 28 | 308 | |
| November 29 | 272 | |
| November 30 | 326 | |
| December 1 | 321 | |
| December 2 | 344 | |
| December 3 | 355 | |
| December 4 | 355 | |
| December 5 | 339 | |
| December 6 | 317 | |
| December 7 | 279 | |
| December 8 | 253 | |
| December 9 | 285 | |
| December 10 | 310 | |
| December 11 | 322 | |
| December 12 | 337 | |
| December 13 | 264 | |
| December 14 | 230 | |
| December 15 | 243 | |
| December 16 | 280 | |
| December 17 | 288 | |
| December 18 | 318 | |
| December 19 | 324 | |
| December 20 | 333 | |
| December 21 | 363 | |
| December 22 | 366 | |
| December 23 | 390 | |
| December 24 | 391 | |
| December 25 | 383 | |
| December 26 | 370 | |
| December 27 | 388 | |
| December 28 | 351 | |
| December 29 | 324 | |
| December 30 | 344 | |
| December 31 | 369 | |
| January 1 | 388 | |
| January 2 | 380 | |
| January 3 | 340 | |
| January 4 | 357 | |
| January 5 | 342 | |
| January 6 | 314 | |
| January 7 | 288 | |
| January 8 | 292 | |
| January 9 | 346 | |
| January 10 | 240 | |
| January 11 | 264 | |
| January 12 | 278 | |
| January 13 | 348 | |
| January 14 | 319 | |
| January 15 | 285 | |
| January 16 | 288 | |
| January 17 | 327 | |
| January 18 | 334 | |
| January 19 | 326 | |
| January 20 | 310 | |
| January 21 | 329 | |
| January 22 | 314 | |
| January 23 | 270 | |
| January 24 | 242 | |
| January 25 | 224 | |
| January 26 | 283 | |
| January 27 | 287 | |
| January 28 | 254 | |
| January 29 | 247 | |
| January 30 | 238 | |
| January 31 | 304 |
About these figures
- Past seasons: 2017-18 to 2025-26 (9). Diwali fell between October 19 and November 14 in those years, so its spike sits on different days in each season.
- Each season here runs from October 1 to January 31. Days without a bulletin are gaps, never filled.
- The comparison uses the average of the latest seven bulletins against the same seven days in each earlier year, so one unusual day does not decide it.
- Some cities joined CPCB's bulletin later than others, so their comparison covers fewer years.
Source: CPCB daily AQI bulletin. Analysis: HT Pollution Dashboard.
Farm fires in Punjab and Haryana
1,561fires spotted by NASA's satellite, October 1 to November 2
NASA's satellite passes at about 1.30pm, and most burning now happens later in the day, so its count is far below the real number.
From the HT Pollution Dashboard's evening edition, 7.21pm.
Fires spotted each day
Show the numbers
| Date | Fires spotted |
|---|---|
| October 1 | 11 |
| October 2 | 28 |
| October 3 | 7 |
| October 4 | 10 |
| October 5 | 8 |
| October 6 | 8 |
| October 7 | 25 |
| October 8 | 10 |
| October 9 | 8 |
| October 10 | 14 |
| October 11 | 0 |
| October 12 | 13 |
| October 13 | 0 |
| October 14 | 15 |
| October 15 | 3 |
| October 16 | 7 |
| October 17 | 48 |
| October 18 | 112 |
| October 19 | 48 |
| October 20 | 22 |
| October 21 | 40 |
| October 22 | 58 |
| October 23 | 50 |
| October 24 | 63 |
| October 25 | 25 |
| October 26 | 69 |
| October 27 | 65 |
| October 28 | 138 |
| October 29 | 157 |
| October 30 | 55 |
| October 31 | 106 |
| November 1 | 171 |
| November 2 | 167 |
About these figures
- A lower count than last season does not mean fewer fires. Since 2021, most burning happens after the satellite passes, so its count cannot show whether burning rose or fell.
- The count leaves out fixed hot spots such as factories, and detections the satellite is unsure of.
- The count comes from the VIIRS instrument, which sees the ground in squares about 375 metres across. NASA's older MODIS instrument sees squares about 1 km across, so it can count nearby fires as one; counts from the two are not comparable.
Source: NASA FIRMS, VIIRS instrument on the Suomi NPP satellite. Analysis: HT Pollution Dashboard.