Spatio-temporal characteristics and influencing factors of air quality in Hunan Province: investigation based on functional data model

Abstract

With rapid economic growth and restriction by the adverse geographical and meteorological conditions, air quality control and improvement in Hunan Province are difficult. Based on the daily air quality data of Hunan Province from 2015 to 2019, in this paper, functional data analysis techniques (including principal component analysis, regression model, time series prediction model) were used to study the spatial-temporal characteristics, influencing factors, and future development trends of Air Pollution Index (AQI). The results showed that (1) in terms of time, the proportion of AQI days increased from 79.2% in 2015 to 89.9% in 2019, (2) from the spatial dimension, the air quality of Hunan Province is worse in the eastern, central, and northern regions, (3) among the meteorological factors, temperature and rainfall contributed to the improvement of air quality, but wind speed did not contribute to air quality improvement, (4) regarding socio-economic factors, industrial structure and urbanization by country were the main reasons for the deterioration of air quality in Hunan Province. Compared with the traditional time series model, the forecast precision of the functional time series model was higher.

A study on the spatial distribution characteristics and driving factors of traditional villages in the southeast coast of China: A case study of Puxian, Fujian

“…With the development of geographic information system (GIS) and the wide application of multivariate statistical analysis, it is possible to carry out research from the national [9][10][11], provincial [12,13], special geographical areas [14][15][16] and other macro scales. Jiao Jinying et al (2022) quantified the factors affecting the spatial distribution of 2424 traditional villages in the Henan section of the Yellow River Basin, and found that natural factors such as rivers and topography were the main factors, followed by human factors [17]; Li J et al (2022) studied the spatial characteristics of 98 traditional villages along the Han silk road in Ningxia and found that the central settlements and transportation were the main influencing factors, and the influence of human factors was significantly greater than that of natural factors [18].…”