甘肃省土地利用变化对PM_(2.5)浓度的影响  

Impact of Land Use Change on PM_(2.5)Concentration in Gansu Province

作　　者：梁明月 阎凯玲 潘必云 刘俊文 LIANG Mingyue;YAN Kailing;PAN Biyun;LIU Junwen(College of Management,Gansu Agricultural University,Lanzhou 730070,China)

机构地区：[1]甘肃农业大学管理学院,兰州730070

出　　处：《中国林业经济》2024年第6期47-58,共12页China Forestry Economics

基　　金：甘肃农业大学省级大学生创新创业训练计划项目(S202310733024)。

摘　　要：大气细颗粒物(PM_(2.5))是大气污染的重要组成部分,探究土地利用变化对PM_(2.5)浓度的影响具有重要意义。基于PM_(2.5)空间分布数据及土地利用数据,利用空间自相关、Person相关性分析和地理加权回归(GWR)等手段探讨了PM_(2.5)变化与土地利用变化之间的关系。结果表明:2000—2020年间,甘肃省主要土地利用类型为耕地、草地和未利用地,土地利用变化规律呈现出耕地与未利用地面积的减少,及水域和建设用地面积的增加;2000—2020年甘肃省PM_(2.5)浓度的空间分布特征表现为西北和东南部浓度峰值的相互转移、交替变化。从时间序列来看,年均浓度呈现出先增后减的趋势;PM_(2.5)变化对土地利用变化有着显著的响应作用。草地、林地和未利用地对PM_(2.5)浓度的影响较为显著,而耕地对其影响较小;不同土地利用类型对PM_(2.5)浓度分布特征的影响程度依次为:林地、未利用地、草地和耕地。其中,林地和草地面积的增加对降低PM_(2.5)浓度具有积极作用。Fine particulate matter(PM_(2.5))constitutes a significant component of air pollution.Investigating the impact of land use changes on PM_(2.5)concentrations holds considerable importance.This study employs spatial autocorrelation,Pearson correlation analysis,and geographically weighted regression(GWR)to examine the relationship between PM_(2.5)concentration fluctuations and land use transformations from 2000 to 2020 in Gansu Province.The results indicate that the predominant land use categories were cultivated land,grassland,and unused land.Over the two decades,there was a notable reduction in the area of cultivated and unused land,while water bodies and construction land areas expanded.The spatial distribution of PM_(2.5)concentrations exhibited alternating peaks in the northwest and southeast regions.Temporally,the annual average concentration initially increased before decreasing.PM_(2.5)concentrations responded significantly to land use changes,with grassland,forest land,and unused land exerting more substantial impacts compared to cultivated land.Specifically,the influence of different land use types on PM_(2.5)concentrations,ranked by degree,is as follows:forest land,unused land,grassland,and cultivated land.Notably,increases in forest and grassland areas positively contributed to reducing PM_(2.5)concentrations.

关 键 词：PM_(2.5)浓度 土地利用 空间自相关 地理加权回归(GWR) 

分 类 号：F301.24[经济管理—产业经济]