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Spatial and temporal air quality analysis of Chinese cities using geographically and temporally weighted regression |
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| รหัสดีโอไอ | |
| Creator | 1. Mahammad Amin 2. Haiyan Xuan 3. Qi Li 4. Anqi Zhang |
| Title | Spatial and temporal air quality analysis of Chinese cities using geographically and temporally weighted regression |
| Publisher | Maejo University |
| Publication Year | 2559 |
| Journal Title | Maejo International Journal of Science and Technology |
| Journal Vol. | 10 |
| Journal No. | 3 |
| Page no. | 256 |
| Keyword | GTWR model,two-step estimator,air quality,spatial and temporal air quality analysis,Chinese cities |
| ISSN | 1905-7873 |
| Abstract | Local modelling techniques are useful for analysis of spatio-temporal data because of their ability to extract underlying patterns. We use geographically and temporally weighted regression (GTWR) to analyse the spatial and temporal characteristics of air quality in 67 Chinese cities. The method employs a two-step estimator to examine the relationship between the indices and the given climatic conditions in the cities. The simulation performance is satisfactory. The mean monthly air quality index (AQI) varies with the spatio-temporal position when the level of the monthly precipitation and the mean monthly temperature are controlled at one station. The AQI is highest in northern China, moderate on the south-eastern coast and low in southern China. Cities in northern China, eastern coastal cities, north-eastern cities and the city of Urumqi have a maximum rate of change when the monthly precipitation increases by one unit. The monthly mean AQI of most cities in Anhui, Zhejiang and Jiangsu provinces exhibits the greatest decrease with an increase in the monthly average temperature when the monthly precipitation remains unchanged. |
