| The temporal and spatial distribution characteristics of PM2.5/PM10 concentration,the relationship between meteorological factors and its response to the heterogeneity of urban green space landscape,the coupling mechanism and scale effect between the concentration of PM2.5 / PM10 and urban green landscape pattern on 1 km to 6 km scale were analyzed based on particle concentration ? 9 monitoring stations for the 3 km of the landscape pattern of green space with GIS and Fragstats technology and the meteorological data of Zhengzhou city from 2015 to 2016 by the landscape pattern analysis,and regression analysis.The results indicated that(1)More than 2016 young pollution days decreased from 2015,but with increasing of concentrations of PM2.5 extreme value is 607.6 ?g/m3,zhengzhou atmospheric particulate matter pollution is still serious.The results indicated that the concentration of atmospheric particulate matter in Zhengzhou was strongly affected by season,and the trend was high in winter and low in summer.And the concentration change in the spatial distribution of each site is different,PM10 concentration increases with percent of landscape presented a decrease trend.(2)There was a significant negative correlation between precipitation and atmospheric particulate concentration.With the increase of relative humidity,the concentration of PM2.5 also increased,while the relative humidity and PM10 concentration showed positive correlation.In Zhengzhou,the wind direction of the whole year is mainly in the northeast of the east wind,and the concentration of the particles in the wind direction is lower than that of the northeast wind and the west wind direction.Based on the wind direction,wind speed,wind frequency analysis research planning and design for the day after the Zhengzhou city green space provides a basis to the local wind field structure within the city,building a wind corridor,reducing the concentration of atmospheric particles by the action of wind.(3)Increasing green land area significantly reduced the PM10 concentration in 3 km × 3 km to 6 km × 6 km scale in spring,3 km × 3 km?5 km × 5 km?6 km × 6 km scale in summer,and 2 km × 2 km to 6 km × 6 km scale in fall.And 5 km × 5 km scale in autumn showed the best reduction.Increasing green land area can reduce the PM2.5 concentrations when the green area was more than 3 km × 3 km scale in winter and spring,and 5 km × 5 km scale in autumn.Strengthen the protection and expansion of large green patches,and improving green patches cluster effect can significantly reduce the concentration of PM10 in 2 km × 2 km to 6 km × 6 km scale in autumn,especially in 3 km × 3 km scale.Increasing the large plaque area and improving the patches aggregation degree can significantly reduce PM2.5 concentration in 4 km × 4 km and 5 km × 5 km scale in winter.The PM10 concentration was significantly reduced in 1 km × 1 km scale in winter when the green land patch shape became more complex.And the concentration of PM2.5 was reduced using the same way in 1 km × 1 km scale in spring.This results can prove a quantitative basis for planning design of multiple scale urban green space.Based on the meteorological data of Zhengzhou city in 2015,the particle data of 9 monitoring stations and the remote sensing image data,Using GIS and Fragstats technology to monitor the site to monitor the site for the 3 km of the landscape pattern of green space,focusing on the temporal and spatial distribution characteristics of PM2.5 and PM10 concentration,the relationship between meteorological factors and its response to the heterogeneity of urban green space landscape,the correlation and difference between PM2.5 and PM10 concentrations in different scale domains of different seasonal landscape indices and vegetation community types were quantified with Excel2007 and SPASS software,to investigate the coupling relationship between each other,based on air particulate matter remission oriented optimization measures over green landscape and urban green space system planning and layout mode. |
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