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Spatiotemporal Variation And Simulation Of Negative Oxygen Ion Concentration In Shanghang County

Posted on:2022-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:M N WangFull Text:PDF
GTID:2491306338492584Subject:Landscape architecture study
Abstract/Summary:
With the acceleration of urbanization,creating a good living environment and improving the ecological environment have become one of the important tasks of urban and rural construction.Known as "Vitamins and Growth Factors in the Air",negative air ions can not only improve human immunity,but also purify the air and improve air quality.It can be seen that negative air ions are of great significance in maintaining public health,promoting the construction of ecological cities,and improving the living environment.This article takes the urban area of Shanghang County,Longyan City,Fujian Province as the research area,based on the fixed-point measured data in 2020,combined with the spatial analysis of ArcGIS and the mathematical statistics of SPSS,discusses the distribution and change of air anion concentration,and analyzes influencing factors and correlations.,The main results obtained are as follows:(1)The study on the spatial and temporal variation of air anion concentration in Shanghang city based on the spot measurement.103 representative observation points were selected in Shanghang city.In the four quarters of 2020,the air negative ion concentration and air positive ion concentration were measured on the three days of sunny weather in January(winter),may(spring),July(summer)and October(Autumn),respectively.The results show that:① In the time dimension,the distribution law of air anion concentration in different seasons is:autumn>winter>spring>summer.The average value of air negative ion concentration in different seasons is more than 1000/cm3,which meets the fresh air standard of the World Health Organization(WHO).②According to the impact of air anion concentration on human health,the number of monitoring points whose concentration is adverse to human health(<600/cm3)is small,and most of them are distributed in the central urban area and near the industrial area.③In terms of spatial distribution,the overall distribution of air anion concentration is more obvious.The air anion concentration at the monitoring points in the central city is relatively low,and the air anion concentration is higher in the surrounding forests and forest parks.④In terms of spatial distribution,the overall distribution of air anion concentration is more obvious.The air anion concentration at the monitoring points in the central city is relatively low,and the air anion concentration is higher in the surrounding forests and forest parks.(2)Study on the influencing factors of air anion concentration based on SPSS.The results show that:① In winter,air anion concentration is significantly positively correlated with air positive ion concentration,temperature,and water area within 1000m and 2000m,respectively.Air anion concentration is related to PM10,PM2.5,300m and 500m roads and traffic respectively.The area of facility land is significantly negatively correlated;②In spring,the air anion concentration is significantly positively correlated with the air positive ion concentration and the area of woodland within 500m,and the air anion concentration is significantly negatively correlated with the cultivated land area of 300m,500m,and 1000m,respectively.Correlation;③In summer,t there is a significant positive correlation between the air anion concentration and the air positive ion concentration and the forest area in the range of 300m,500m,1000m,and 2000m.The air anion concentration is significantly correlated with relative humidity,wind speed,PM10,PM2.5.Negative correlation;④ In autumn,air anion concentration is positively correlated with air positive ion concentration,CO2 concentration,elevation,slope,and forest area within 300m,500m,1000m,and 2000m.The air anion concentration was significantly negatively correlated with PM10,PM2.5,and the area of residential and public facilities in the range of 300m,500m,1000m,and 2000m.(3)Simulation of air anion concentration based on LUR model.The air anion concentration prediction model based on the land use regression model has a good simulation effect.Through the regression mapping of the study area,it can be seen that the concentration of air negative ions varies in different seasons.Autumn is greatly affected by forest land.The overall air anion concentration in Shanghang City is significantly higher than other seasons;summer is greatly affected by the PM10 concentration generated from the burning of arable land,and the overall air anion concentration is the lowest in the year.Consistent,the overall simulation situation is consistent with the actual situation.(4)Planning suggestions based on air anion concentration.① In order to protect the existing forest area from reducing,the green area should be appropriately increased in the area with low air anion concentration;② Strengthen the air quality management and control of residential and public facilities;③ It is forbidden to burn straw in agricultural land;④ Focus on improving the environmental conditions of roads and transportation facilities;⑤ The air negative ion dynamic monitoring system is set up in typical areas.
Keywords/Search Tags:Negative air ions, environmental quality, Spatiotemporal variation, Land use regression model, Shanghang
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