Pljevlja Air Quality Forecast

Forecast plotted using timezone +02:00
Tue 3rd
26°C
12°C
Wed 4th
28°C
11°C
Thu 5th
28°C
12°C
Fri 6th
28°C
11°C
Sat 7th
30°C
13°C
PM2.5
49
46
45
38
31
21
22
20
23
23
30
25
31
28
27
27
29
28
33
31
32
31
29
24
25
23
35
28
33
30
43
34
47
45
51
49
46
38
34
28
27
24
35
29
36
34
32
29
29
28
42
31
45
39
42
40
42
40
42
40
38
34
38
36
42
40
53
44
56
49
44
34
30
25
30
25
34
32
35
35
PM10
12
12
12
12
11
9
9
9
10
9
13
11
13
12
12
12
12
12
14
13
15
14
15
14
14
13
15
14
14
12
14
13
15
14
17
16
17
15
14
12
12
11
16
13
17
17
16
16
15
14
18
15
19
17
18
17
18
18
19
18
18
18
18
18
19
17
23
20
26
24
23
18
14
11
13
11
14
13
15
15
O3
7
6
15
6
17
17
18
18
17
15
12
9
11
10
8
8
8
6
16
6
21
19
20
19
18
15
14
12
13
9
8
8
8
5
16
6
22
20
22
21
20
15
13
13
11
9
10
9
10
8
12
7
20
15
21
20
20
15
13
12
12
10
10
9
9
8
13
9
21
16
21
19
19
15
13
12
13
10
10
10
UVI
1
6
8
7
2
1
6
9
8
3
1
6
8
7
2
1
6
9
8
2
1
6
9
8
2
Tuesday 3rdWednesday 4thThursday 5thFriday 6thSaturday 7th
hour
691215182103691215182103691215182103691215182103691215182103
Wind Speed (m/s)
1144221100022221111322111111111101141111








































Temp.
20°26°25°23°15°13°12°12°21°27°28°26°17°14°13°13°22°27°28°25°16°13°12°12°21°26°28°23°18°15°14°14°22°28°30°26°17°16°14°14°
UVI:
8


5:05 ~ 20:18
UVI:
9


5:05 ~ 20:19
UVI:
8


5:04 ~ 20:20
UVI:
9


5:04 ~ 20:20
UVI:
9


5:04 ~ 20:21
Latest forecast updates:
fine particulate matter: 13 hours ago [Jun 3, 2025 2:50 AM]
ozone: 13 hours ago [Jun 3, 2025 2:52 AM]
Share: aqicn.org/forecast/pljevlja/
Other Cities

The detailed forecast analysis is also available for other cities:

Or just select any of those cities:

Beijing, Shanghai, Chengdu, Shenyang, Shenzhen, Guangzhou, Qingdao, Xian, Tianjin, Saitama, Kyoto, Osaka, Seoul, Busan, Bogota, Delhi, Jakarta, Ulaanbaatar, Hanoi, Chennai, Kolkata, Mumbai, Hyderabad, Santiago, Lima, Saopaulo, Quito, Singapore, Kuala-lumpur, Ipoh, Perai, Miri, New York, Seattle, Chicago, Boston, Atlanta

For other cities, countries or pollutants, please refer to world air quality forecast maps:

https://waqi.info/forecast/

Forecast Map

1Speed(FPS): 18
Sat 02Mon 04Wed 06Fri 08Jan 10Friday 1st, 0:00 (UTC)
Marker
500 km
300 mi
Leaflet Map Data: © OpenStreetMap contributors; Map render © Tracestrack

City Forecast

Model Comparison

This section is experimental. It provides the comparison for the prediction for several individual forecast models

For a full list of all Air Quality Forecast models being analyser, check the forecast models page: https://aqicn.org/forecast/models/

Forecast Analysis

How accurate are the forecasts?

Check the correlation graphs below for PM2.5, PM10 and Ozone for the past 30 days.

(Note that all values are based on the AQI, and that a maximum threshold of AQI 300 is used).

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Past month PM2.5 AQI short-term forecast analysis.

In the above graph, the forecast is data is the forecast one day in advance (i.e. the forecast computed today for tomorrow).

Do you know of any Air Quality stations in your area?
why not participate to the map with your own air quality station?

Our GAIA air quality monitors are very easy to set up: You only need a WIFI access point and a USB compatible power supply.

Once connected, your real time air pollution levels are instantaneously available on the maps and through the API.

The station comes with a 10-meter water-proof power cable, a USB power supply, mounting equipment and an optional solar panel.

Click for more information

Air Quality Forecasts Models

There are many forecast models, for different regions of the globe - below are few of them.

Just click on any of them to see the animated map for the given model.

World
Asia
Europe
South America
North America
Oceania
Africa
Middle East
China

For a full list of all Air Quality Forecast models being analyser, check the forecast models page: https://aqicn.org/forecast/models/



Please note that all above analysis are done on the World Air Quality Index (WAQI) project own budget.

We did not receive any subsidies from any of the intuitions publishing Air Quality forecast models.



Future Improvements

We need your help

Help is needed for keeping the world-wide Air Quality forecast model inventory up-to-date.

  • Do you know any model not listed below but for which gridded data is available?
  • Do you know better accuracy analysis solutions which should be used here?
  • Have you done a similar research and you would like to publish it here?

    • If yes, send us a message with the form below and we will contact you asap!

    Forecast Model Sources

    The above prediction is based on composite meta model, computed using several Air Quality Forecasting Systems (AQFS):

    The above map is based on the PM2.5 surface level modeling, and colors are following the US EPA AQI standard.

    Disclaimer

    This forecasting model, and all AQFS which it is based on, are research products intended to provide information related to Air Quality forecast. All reasonable measures have been taken to ensure its quality and accuracy. However:

    • We do not make warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, correctness, completeness of the information.
    • We do not assume any legal liability or responsibility for any damage or loss that may directly or indirectly result from any information contained on this website or any actions taken as a result of the content of this website;
    • We may change, delete, add to, or otherwise amend information contained on this website without notice

    For more information about the underlying concepts of Air Quality forecasting (or Atmospheric Dispersion Modeling), check the article on a visual study of wind impact of PM2.5 concentration.

    About the Air Quality and Pollution Measurement:

    About the Air Quality Levels

    AQI Air Pollution Level Health Implications Cautionary Statement (for PM2.5)
    0 - 50 Good Air quality is considered satisfactory, and air pollution poses little or no risk None
    51 -100 Moderate Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
    101-150 Unhealthy for Sensitive Groups Members of sensitive groups may experience health effects. The general public is not likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
    151-200 Unhealthy Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects Active children and adults, and people with respiratory disease, such as asthma, should avoid prolonged outdoor exertion; everyone else, especially children, should limit prolonged outdoor exertion
    201-300 Very Unhealthy Health warnings of emergency conditions. The entire population is more likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should avoid all outdoor exertion; everyone else, especially children, should limit outdoor exertion.
    300+ Hazardous Health alert: everyone may experience more serious health effects Everyone should avoid all outdoor exertion

    To know more about Air Quality and Pollution, check the wikipedia Air Quality topic or the airnow guide to Air Quality and Your Health.

    For very useful health advices of Beijing Doctor Richard Saint Cyr MD, check www.myhealthbeijing.com blog.


    Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.



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