LI Haonan,ZENG Shenglan.Research on the Correlation between Land Use Changes and Air Pollutants[J].Journal of Chengdu University of Information Technology,2022,37(02):221-233.[doi:10.16836/j.cnki.jcuit.2022.02.017]
土地利用变化与大气污染物的相关性研究
- Title:
- Research on the Correlation between Land Use Changes and Air Pollutants
- 文章编号:
- 2096-1618(2022)02-0221-13
- 分类号:
- X511
- 文献标志码:
- A
- 摘要:
- 利用2015年和2018年两期四川省土地利用数据及2015-2018年四川省17个城市环境监测站的SO2、NO2、PM2.5、PM10的逐日质量浓度监测资料,分析了研究区土地利用结构、景观格局和4种污染物的时空变化及各土地类型和景观格局与4种污染物的相关关系。结果表明:(1)草地、耕地和林地为研究区域内优势景观,从2015-2018年土地利用变化主要是建设用地大面积增加而耕地面积大幅度减小; 研究区内景观类型趋于均衡化分布,景观破碎化增加且连通性降低,其中耕地、林地、水域和建设用地的破碎度增加,草地的破碎度减小。(2)空间分布上,成都、达州和眉山的NO2污染比较严重,宜宾、眉山、南充、自贡、泸州、成都和乐山PM2.5污染比较严重; 成都、德阳、资阳、眉山、达州和自贡PM10比较严重; 资阳、广元、泸州、内江、宜宾和广安SO2污染比较严重。时间分布上,4种污染物的月均浓度呈现夏季低冬季高,就污染物浓度的时序趋势而言,PM2.5、PM10和SO2呈显著下降趋势,NO2下降趋势不明显。(3)建设用地和耕地面积增加会加剧PM10和NO2污染; 草地对于PM2.5和PM10有沉降作用。整体景观破碎度越高越有利于PM10浓度的降低,景观破碎度和均匀度越高,NO2污染越严重。
- Abstract:
- Using the land use data of Sichuan Province in 2015 and 2018 and the daily mass concentration monitoring data of SO2,NO2,PM2.5 and PM10 of 17 urban environmental monitoring stations in Sichuan Province from 2015 to 2018,analyzed the land use structure, landscape pattern and the temporal and spatial changes of four pollutants in the study area, and the relationships between land types, landscape pattern and four pollutants were analyzed.The results show that:(1)Cultivated land, woodland and grassland are the dominant landscapes in the study area. During the study period, land use changes were mainly due to the sharp decline of cultivated land and the expansion of construction land; the connectivity of landscapes in the study area decreased greatly and the fragmentation of landscapes is increased.The landscape types tend to be distributed in a balanced manner. Among them, the patch fragmentation of cultivated land, woodland, water area and construction land is increasing, and the patch fragmentation of grassland is decreasing.(2)In terms of spatial distribution, the NO2 pollution in Chengdu, Dazhou and Meishan is relatively serious, while the PM2.5 pollution in Chengdu, Meishan, Zigong, Luzhou, Yibin, Nanchong and Leshan is relatively serious; Chengdu, Deyang, Ziyang, Meishan, The cities of Dazhou and Zigong have more serious PM10; Ziyang, Guangyuan, Luzhou, Neijiang, Yibin and Guang’an have more serious SO2 pollution. In terms of time distribution, the monthly average concentrations of the four pollutants are low in summer and high in winter. As far as the time-series trend of pollutant concentrations is concerned,PM2.5, PM10 and SO2 show a significant downward trend, while the downward trend of NO2 is not obvious.(3)The increase of construction land and cultivated land will aggravate the pollution of PM10 and NO2; and grassland has a sedimentation effect on PM2.5 and PM10. The higher the overall landscape fragmentation, the better the reduction of PM10 concentration. The higher the landscape fragmentation and uniformity, the more severe NO2 pollution.
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备注/Memo
收稿日期:2021-01-21