Krakow Air Quality Forecast

Membagikan: aqicn.org/forecast/krakow/id/
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/id/

Forecast Map

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/id/

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).


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).

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.

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



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, drop us a message from the contribute page 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.

    Tentang Pengukuran Kualitas dan Polusi Udara:

    Tentang Tingkat Kualitas Udara

    - Nilai Indeks Kualitas Udara (AQI).Tingkat Kekhawatiran Kesehatan
    0 - 50 Baik Kualitas udara dianggap memuaskan, dan polusi udara menimbulkan sedikit atau tanpa risiko
    51 -100 Moderat Kualitas udara dapat diterima; Namun, untuk beberapa polutan mungkin ada kekhawatiran kesehatan yang moderat untuk sejumlah kecil orang yang sangat sensitif terhadap polusi udara.
    101-150 Tidak Sehat untuk kelompok orang yang sensitif Anggota kelompok sensitif dapat mengalami efek kesehatan. Masyarakat umum tidak mungkin terpengaruh.
    151-200 Tidak sehat Setiap orang mungkin mulai mengalami efek kesehatan; anggota kelompok sensitif dapat mengalami efek kesehatan yang lebih serius
    201-300 Sangat Tidak Sehat Peringatan kesehatan untuk kondisi darurat. Seluruh penduduk lebih mungkin terpengaruh.
    300+ Berbahaya Peringatan kesehatan: semua orang mungkin mengalami efek kesehatan yang lebih serius

    Untuk mengetahui lebih banyak tentang Kualitas dan Polusi Udara, lihat topik Kualitas Udara di wikipedia atau panduan airnow tentang Kualitas Udara dan Kesehatan Anda .

    Untuk nasihat kesehatan yang sangat berguna dari Dokter Beijing Richard Saint Cyr MD, periksa blog www.myhealthbeijing.com .


    Pemberitahuan Penggunaan: Semua data Kualitas Udara tidak divalidasi pada saat publikasi, dan demi jaminan kualitas maka data ini dapat diubah, tanpa pemberitahuan, kapan saja. Proyek Indeks Kualitas Udara Dunia telah menerapkan semua kemampuan dan kepedulian yang cukup dalam mengumpulkan isi informasi ini dan dalam keadaan apa pun World Air Quality Index tim proyek atau agennya bertanggung jawab dalam kontrak, gugatan atau jika ada kerugian, cedera atau kerusakan yang timbul secara langsung atau tidak langsung dari pasokan data ini.



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