Spatial and Temporal Variation of PM 2.5 Concentrations Basen on Thiesen Polygon and its Correlation with Land-use Patterns in Nanjing City

CHEN Xiaojie; ZHANG Jinting; ZHANG Changcheng; PENG Xiaojun

doi:10.13961/j.cnki.stbctb.20171228.001

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Spatial and Temporal Variation of PM 2.5 Concentrations Basen on Thiesen Polygon and its Correlation with Land-use Patterns in Nanjing City

- Spatial and Temporal Variation of PM 2.5 Concentrations Basen on Thiesen Polygon and its Correlation with Land-use Patterns in Nanjing City
- Bulletin of Soiland Water Conservation Vol. 38, Issue 1, Pages: 293-298(2018)
- 作者机构：
  
  1. 武汉大学资源与环境科学学院,湖北,武汉,430079
  2. 湖北省地质局武汉水文地质工程地质大队,湖北,武汉,430051
  3. 荆州市国土资源局,湖北,荆州,434000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20171228.001
  CLC：
- Published：2018
- 稿件说明：
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CHEN Xiaojie, ZHANG Jinting, ZHANG Changcheng, et al. Spatial and Temporal Variation of PM 2.5 Concentrations Basen on Thiesen Polygon and its Correlation with Land-use Patterns in Nanjing City[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 293-298.
DOI：

CHEN Xiaojie, ZHANG Jinting, ZHANG Changcheng, et al. Spatial and Temporal Variation of PM 2.5 Concentrations Basen on Thiesen Polygon and its Correlation with Land-use Patterns in Nanjing City[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 293-298. DOI： 10.13961/j.cnki.stbctb.20171228.001.

摘要

[目的

]

分析南京市PM 2.5时空分异规律，探讨PM 2.5浓度变化与土地利用的关系，为南京市生态保护和空气污染治理决策提供依据。[方法

]

基于南京市2013年12个月的日均PM 2.5浓度数据以及2013年土地利用数据，利用泰森多边形将南京市划分为9个研究区域，以月、季、年为时间尺度，对各个研究区内的PM 2.5浓度的时空特征以及与土地利用的关系进行分析。[结果

]

时间上，南京市PM 2.5浓度冬季呈现最高，达到129.93 μg/m

，夏季最低，达到44.65 μg/m

。空间上，迈皋桥和瑞金路监测区片年均浓度最高，达到78.90和78.56 μg/m

，仙林大学城和中华门监测区片年均PM 2.5浓度最低，为72.09和72.64 μg/m

。在与土地利用类型的相关性分析中，与水域用地的相关性较强，春夏秋呈现正相关，冬季呈现负相关；年均PM 2.5浓度与5种土地利用类型成不同程度的负相关。[结论

]

南京市PM 2.5浓度具有明显的时空分异规律，土地利用类型对PM 2.5浓度变化具有重要影响。

Abstract

[Objective] To analyze the spatial and temporal pattern of PM 2.5 concentration and explore its correlation with land-use pattern in order to provide a basis for decision making in ecological protection and air pollution control.[Methods] Based on PM 2.5 concentration data as well as the land-use information in 2013

we divided the whole Nanjing City into 9 regions by means of Thiessen polygon method. We then systematically analyzed the temporal-spatial differentiation of PM 2.5 and its correlation with the variation of land-use pattern in a time-scale of year and season.[Results] In time scale

the concentration of PM 2.5 was the highest (129.93 μg/m3) in winter

and the lowest in summer (only 44.65 μg/m3). In spatial scale

according to the data of annual average PM 2.5 concentrations in each monitoring station

several sites such as Maigaoqiao and Ruijinlu had high PM 2.5 concentrations

reaching 78.90 and 78.56 μg/m3

while PM 2.5 concentrations in the Xianlin and Zhonghuamen Development Zone was the lowest with only 72.08 and 72.64 μg/m3. On the other hand

land-use patterns affected average PM 2.5 concentration

i. e.

arable land

grassland

water and barren land

rural residential land were negatively correlated with PM 2.5

and water body has highest correlation with PM 2.5. In general

the landscape in terms of area

density

fragmentation and accumulation degree was the main factors affecting the PM 2.5 concentration.[Conclusion] PM 2.5 concentration showed an obvious spatial and temporal distribution pattern. The variation of land-use had important effects on PM 2.5 concentration.

关键词

Keywords

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