# Air Quality Monitoring and Forecasting

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/air-quality-monitoring-and-forecasting/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the advances in low-cost air quality monitoring systems, utilizing technologies such as neural networks, forecasting models, and IoT-based sensor networks to monitor particulate matter and pollutants in urban environments. The research explores the application of machine learning and environmental monitoring techniques to improve the accuracy and accessibility of air quality data. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t12120 |
| Works | 243 |

## Topic papers all

Showing 15 of 243.

- [Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures](https://scholariq.org/papers/bayesian-kernel-machine-regression-for-estimating-the-health-effects-of-multi/)
- [Ambient Particulate Air Pollution and Daily Mortality in 652 Cities](https://scholariq.org/papers/ambient-particulate-air-pollution-and-daily-mortality-in-652-cities/)
- [The Effect of Air Pollution on Lung Development from 10 to 18 Years of Age](https://scholariq.org/papers/the-effect-of-air-pollution-on-lung-development-from-10-to-18-years-of-age/)
- [Development of Land Use Regression Models for PM<sub>2.5</sub>, PM<sub>2.5</sub> Absorbance, PM<sub>10</sub> and PM<sub>coarse</sub> in 20 European Study Areas; Results of the ESCAPE Project](https://scholariq.org/papers/development-of-land-use-regression-models-for-pm-sub-2-5-sub-pm-sub-2-5-sub/)
- [Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013](https://scholariq.org/papers/ambient-air-pollution-exposure-estimation-for-the-global-burden-of-disease-2013/)
- [Effect of restricted emissions during COVID-19 on air quality in India](https://scholariq.org/papers/effect-of-restricted-emissions-during-covid-19-on-air-quality-in-india/)
- [Exposure measurement error in time-series studies of air pollution: concepts and consequences.](https://scholariq.org/papers/exposure-measurement-error-in-time-series-studies-of-air-pollution-concepts-and/)
- [Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?](https://scholariq.org/papers/can-commercial-low-cost-sensor-platforms-contribute-to-air-quality-monitoring/)
- [Source apportionment of particulate matter in Europe: A review of methods and results](https://scholariq.org/papers/source-apportionment-of-particulate-matter-in-europe-a-review-of-methods-and/)
- [Ambient Pollution and Heart Rate Variability](https://scholariq.org/papers/ambient-pollution-and-heart-rate-variability/)
- [High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data](https://scholariq.org/papers/high-resolution-air-pollution-mapping-with-google-street-view-cars-exploiting/)
- [Ozone Pollution: A Major Health Hazard Worldwide](https://scholariq.org/papers/ozone-pollution-a-major-health-hazard-worldwide/)
- [Exposure to Fine Particulate Air Pollution Is Associated With Endothelial Injury and Systemic Inflammation](https://scholariq.org/papers/exposure-to-fine-particulate-air-pollution-is-associated-with-endothelial-injury/)
- [Review of receptor modeling methods for source apportionment](https://scholariq.org/papers/review-of-receptor-modeling-methods-for-source-apportionment/)
- [A survey on machine learning for data fusion](https://scholariq.org/papers/a-survey-on-machine-learning-for-data-fusion/)

## Topic primary papers

Showing 15 of 40.

- [Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?](https://scholariq.org/papers/can-commercial-low-cost-sensor-platforms-contribute-to-air-quality-monitoring/)
- [Data-Driven Machine Learning in Environmental Pollution: Gains and Problems](https://scholariq.org/papers/data-driven-machine-learning-in-environmental-pollution-gains-and-problems/)
- [Forecasting Air Pollution Particulate Matter (PM2.5) Using Machine Learning Regression Models](https://scholariq.org/papers/forecasting-air-pollution-particulate-matter-pm2-5-using-machine-learning/)
- [Air pollution prediction by using an artificial neural network model](https://scholariq.org/papers/air-pollution-prediction-by-using-an-artificial-neural-network-model/)
- [Satellite-based ground PM2.5 estimation using timely structure adaptive modeling](https://scholariq.org/papers/satellite-based-ground-pm2-5-estimation-using-timely-structure-adaptive-modeling/)
- [On the feasibility of measuring urban air pollution by wireless distributed sensor networks](https://scholariq.org/papers/on-the-feasibility-of-measuring-urban-air-pollution-by-wireless-distributed/)
- [Evaluation of random forest regression and multiple linear regression for predicting indoor fine particulate matter concentrations in a highly polluted city](https://scholariq.org/papers/evaluation-of-random-forest-regression-and-multiple-linear-regression-for/)
- [ADF: An Anomaly Detection Framework for Large-Scale PM2.5 Sensing Systems](https://scholariq.org/papers/adf-an-anomaly-detection-framework-for-large-scale-pm2-5-sensing-systems/)
- [Artificial neural networks for automated year-round temperature prediction](https://scholariq.org/papers/artificial-neural-networks-for-automated-year-round-temperature-prediction/)
- [Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring](https://scholariq.org/papers/low-cost-sensor-with-iot-lorawan-connectivity-and-machine-learning-based/)
- [Evaluating air quality by combining stationary, smart mobile pollution monitoring and data-driven modelling](https://scholariq.org/papers/evaluating-air-quality-by-combining-stationary-smart-mobile-pollution-monitoring/)
- [Improving Air Temperature Prediction With Artificial Neural Networks](https://scholariq.org/papers/improving-air-temperature-prediction-with-artificial-neural-networks/)
- [An evaluation tool kit of air quality micro-sensing units](https://scholariq.org/papers/an-evaluation-tool-kit-of-air-quality-micro-sensing-units/)
- [Node-to-node field calibration of wireless distributed air pollution sensor network](https://scholariq.org/papers/node-to-node-field-calibration-of-wireless-distributed-air-pollution-sensor/)
- [Estimation of Air Pollution in Delhi Using Machine Learning Techniques](https://scholariq.org/papers/estimation-of-air-pollution-in-delhi-using-machine-learning-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.