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2020年新疆NO2浓度时空变化特征分析

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二氧化氮(NO2)作为大气中主要的污染气体,对人体健康和大气环境有着严重的危害,探究NO2浓度时空变化特征及其驱动力,可以更好地了解影响NO2浓度变化的自然和人为因素。文章提取新疆2020年1-12月Sentinel-5P卫星所获取的NO2浓度数据,采用空间自相关模型和Sen+Mann-Kendall趋势分析法,分析新疆NO2浓度时空分布规律及变化,并运用最优地理探测器模型定量分析人为因素及自然因素对于NO2浓度变化的解释力。结果表明:(1)2020年新疆地区NO2浓度平均值最高是在7月,最低是在2月,从1-7月NO2浓度先下降后上升,从7月开始下降一直持续到11月。(2)NO2浓度的Moran'I最大值为0。921,最小值为0。784,存在空间聚集性。NO2浓度高-高聚集区主要分布于研究区中部的天山北麓城市集中分布区域,低-低聚集区主要分布于北部的阿尔泰山脉及南部昆仑山脉附近。(3)2020年全疆NO2浓度约89。14%的区域呈基本不变,8。31%的地区NO2浓度轻微增加,2。19%的地区NO2浓度显著增加,0。36%的区域轻微下降,没有明显下降的区域。(4)NO2浓度受多种影响因素共同作用,其中GDP对NO2浓度的解释力较大,而地表温度对其的解释力最小,GDP与其他因子交互作用明显,可见人为活动对于NO2浓度变化的影响较大。
Characterization of Spatial and Temporal Variations of NO2 Concentration in Xinjiang in 2020
Nitrogen dioxide(NO2),as a major atmospheric pollutant,poses a serious threat to human health and the atmo-spheric environment.Investigating the characteristics of the spatial and temporal variations of NO2 concentration and its driving force can provide a better understanding of the natural and anthropogenic factors affecting the variation of NO2 concen-tration.In this paper,the NO2 concentration data were extracted and acquired by the Sentinel-5P satellite from January to December 2020,used the spatial autocorrelation model and Theil-Sen median trend analysis and the Mann-Kendall test to analyze the spatial and temporal distribution pattern of NO2 concentration in Xinjiang and its evolutionary trend,and applied the optimal parameters-based geographical detector(OPGD)to quantify the explanatory power of anthropogenic and natural factors on the changes of NO2 concentration.The explanatory power of anthropogenic and natural factors on the variation of NO2 concentration was quantitatively analyzed by the OPGD model.The results showed that the highest mean value of NO2 concentration in Xinjiang in 2020 was in July and the lowest in February,and the mean value showed an upward trend from the overall perspective.The maximum value of Moran'I for NO2 concentration is 0.921.The minimum value is 0.784,with spatial clustering.The high-high clustering area of NO2 concentration is mainly located in the central part of the study area in the northern foothills of the Tianshan Mountains.In contrast,the low-low clustering area is mainly located in the northern Al-tai Mountain Range and the southern part in the vicinity of the Kunlun Mountain Range.In 2020,about 89.14%of the NO2 concentration in the whole territory is basically unchanged,8.31%of the area has a slight increase in NO2 concentration,2.19%of the area has a significant increase in NO2 concentration,0.36%of the area has a slight decrease,and there is no area with a significant decrease.NO2 concentration is affected by a variety of influencing factors,among which GDP has a greater explan-atory power for NO2 concentration.In contrast,surface temperature has the least explanatory power for it,and GDP interacts significantly with other factors,which shows that anthropogenic activities have a greater influence on the change of NO2 concentration.

NO2 concentrationtrend analysisOPGDXinjiang

卡木然·买买提艾力、杨涵、艾则买提江·麦麦提图尔荪

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新疆师范大学地理科学与旅游学院,新疆 乌鲁木齐 830054

新疆干旱区湖泊环境与资源重点实验室,新疆 乌鲁木齐 830054

NO2浓度 趋势分析 最优地理探测器 新疆

国家自然科学基金项目国家自然科学基金项目

4206100742261058

2024

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCD北大核心
影响因子:0.943
ISSN:1003-6504
年,卷(期):2024.47(8)