scholarly journals Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China

2019 ◽  
Vol 118 ◽  
pp. 04027
Author(s):  
Hongjin Tong ◽  
Sha Liu ◽  
Ruixue Liao ◽  
Xiaomei Wei ◽  
Kangli Che ◽  
...  

The previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants in five cities of Chengdu economic region. In 2015, the monthly change trends of PM2.5, PM10, CO, NO2 and NO of air pollutants in Chengdu economic region were basically the same. The maximum monthly average concentration was in January or December, and the minimum was in May to September. The temporal variation of SO2 was characterized by little fluctuation of monthly concentration. The temporal variation characteristics of O3 were opposite to other pollutants. The spatial distribution of PM10 and PM2.5 was characterized by the largest concentration in Chengdu and the southwest of Meishan, in which they were mainly concentrated in the central area of Chengdu in winter. The average concentration of CO in Chengdu was the largest, followed by Deyang and Mianyang, and Meishan and Ziyang was the smallest. The concentrations of NO2 and NO in Chengdu were the largest, while those in Ziyang were the smallest. The spatial distribution characteristics of O3 were different from other pollutants. The areas with the largest concentration of O3 were Ziyang and a small part of west in Chengdu. The spatial distribution of SO2 was characterized by the largest concentration of SO2 in Ziyang, the lowest concentration in Mianyang and Deyang.

2021 ◽  
Vol 251 ◽  
pp. 03043
Author(s):  
Guoqiang Feng

In view of the current situation of the development of residential accommodation in rural areas in China, this paper starts from the spatial distribution and structural characteristics of residential accommodation with national characteristics, taking the national rural characteristic hostels as the research object, analyzes the spatial distribution characteristics of the characteristic hostels in the whole country by using the inverse distance weight method and Kriging spatial interpolation method, and visually expresses the development status of the characteristic hostels in the whole country by using the spatial thermal diagram.The experimental results show that the distribution of residential accommodation with rural characteristics in China has strong spatial agglomeration characteristics. Residential accommodation with rural characteristics in China is generally positively correlated with population density, occupied area and GDP in various regions. Relying on the beautiful natural environment and simple human resources, the development of the rural residents’ lodging has made the rural residents’ lodging itself a tourism attraction, transforming the disadvantages into advantages, driving the development of rural tourism and related industries, stimulating the employment of farmers and promoting cultural revival and the prosperity of the common people.


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