# An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-application-of-arima-model-to-predict-submicron-particle-concentrations-from/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Le Jian,Yun Zhao,Yiwei Zhu,Meibian Zhang,Dean Bertolatti |
| Citations | 178 |
| DOI | 10.1016/j.scitotenv.2012.03.025 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2041471468 |
| PMID | 22522077 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Yun Zhao](https://scholariq.org/researchers/yun-zhao/)

## Paper journal

- [The Science of The Total Environment](https://scholariq.org/journals/the-science-of-the-total-environment/)

## Paper primary topic

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)

## Paper topics

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

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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.