<p>In addition to those listed in @f.thorpe's comment (I want to at least point to him to give credit for his choices, which are my first choices too), some other readily available models include:</p>
<ul>
<li><a href="https://www.epa.gov/cameo/aloha-software" rel="nofollow noreferrer">ALOHA</a></li>
<li><a href="https://www.epa.gov/scram/air-quality-dispersion-modeling-alternative-models" rel="nofollow noreferrer">A bunch of alternative EPA models.</a></li>
<li><a href="https://www.flexpart.eu/" rel="nofollow noreferrer">FLEXPART</a></li>
<li><a href="https://src.com/" rel="nofollow noreferrer">CALPUFF</a></li>
</ul>

CC BY-SA 4.0
2024-02-23T16:08:24.580Z
2024-02-23T16:08:24.580Z
BarocliniCplusplus
<p>Thank you for the suggestions, @f.thorpe and @BarocliniCplusplus. I ended up adapting the <a href="https://data.london.gov.uk/dataset/london-atmospheric-emissions-inventory--laei--2019" rel="nofollow noreferrer">London Atmopsheric Emissions Inventory</a> dataset for my purpose, since I need data with fine spatial resolution that explicitly models the pollution along road networks. The other suggested softwares did not seem tailored to this use case.</p>
<p>Similar datasets, should it ever interest anyone:</p>
<ul>
<li><a href="https://envf.ust.hk/dataview/ultra_fine_aq/current/" rel="nofollow noreferrer">Hong Kong</a></li>
<li><a href="https://www.nature.com/articles/s43247-023-01119-3" rel="nofollow noreferrer">Beijing</a></li>
</ul>

CC BY-SA 4.0
2024-04-15T07:06:09.537Z
2024-04-15T07:06:09.537Z
Nial Perry
<p>My team developed a method to detect PM2.5 hotspots in a city using mobile sensor measurements. Now, we want to simulate a validation dataset to test our method. We want simulated data so that we can set a 'ground truth' for where hotspots are located, and thus compute accuracy metrics.</p>
<p>Does anyone know a free software for this? I imagine it takes pollution source locations, wind speed, etc. as inputs, then outputs a time series of pollution values in a defined region.</p>
<p><strong>Already tried:</strong></p>
<ul>
<li><a href="https://cerea.enpc.fr/polyphemus/index.html" rel="nofollow noreferrer">Polyphemus</a>: looks good, but apparently the software packages have not been updated in 13 years</li>
<li><a href="https://en.wikipedia.org/wiki/List_of_atmospheric_dispersion_models" rel="nofollow noreferrer">Wikipedia</a>: has a list of atmospheric dispersion models, but it is unclear which are readily available as software</li>
</ul>

CC BY-SA 4.0
2024-02-23T15:21:41.387Z
Depending on the level of complexity you need, you might try HYSPLIT or AERMOD.  If you are looking for multi-source complex models, CAMx and CMAQ are available.  Also, there is GEOS-CHEM and WRF-CHEM.
f.thorpe
CC BY-SA 4.0
2024-02-23T17:10:14.690Z
https://www.epa.gov/moves
Spencer
<air-pollution><software><simulation>
Free software for simulating the dispersion of air pollution
Nial Perry
# Free software for simulating the dispersion of air pollution

(Asked by: username_0 on 2024-02-23)

My team developed a method to detect PM2.5 hotspots in a city using mobile sensor measurements. Now, we want to simulate a validation dataset to test our method. We want simulated data so that we can set a 'ground truth' for where hotspots are located, and thus compute accuracy metrics.

Does anyone know a free software for this? I imagine it takes pollution source locations, wind speed, etc. as inputs, then outputs a time series of pollution values in a defined region.

**Already tried:**

* [Polyphemus](https://cerea.enpc.fr/polyphemus/index.html): looks good, but apparently the software packages have not been updated in 13 years
* [Wikipedia](https://en.wikipedia.org/wiki/List_of_atmospheric_dispersion_models): has a list of atmospheric dispersion models, but it is unclear which are readily available as software

**Tags:** air-pollution, software, simulation

> **Comments:**
> **username_1**: Depending on the level of complexity you need, you might try HYSPLIT or AERMOD.  If you are looking for multi-source complex models, CAMx and CMAQ are available.  Also, there is GEOS-CHEM and WRF-CHEM.  
> **username_2**: https://www.epa.gov/moves  

---

## 2 answers

### Answer by username_3 on 2024-02-23. Score: 2

In addition to those listed in @username_1's comment (I want to at least point to him to give credit for his choices, which are my first choices too), some other readily available models include:

* [ALOHA](https://www.epa.gov/cameo/aloha-software)
* [A bunch of alternative EPA models.](https://www.epa.gov/scram/air-quality-dispersion-modeling-alternative-models)
* [FLEXPART](https://www.flexpart.eu/)
* [CALPUFF](https://src.com/)


---

### Answer by username_0 on 2024-04-15. Score: 0

Thank you for the suggestions, @username_1 and @username_3. I ended up adapting the [London Atmopsheric Emissions Inventory](https://data.london.gov.uk/dataset/london-atmospheric-emissions-inventory--laei--2019) dataset for my purpose, since I need data with fine spatial resolution that explicitly models the pollution along road networks. The other suggested softwares did not seem tailored to this use case.

Similar datasets, should it ever interest anyone:

* [Hong Kong](https://envf.ust.hk/dataview/ultra_fine_aq/current/)
* [Beijing](https://www.nature.com/articles/s43247-023-01119-3)


---

