摘要
二氧化氮(NO_(2))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NO_(2)浓度时空变化特征及其驱动力,可以更好地了解影响NO_(2)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NO_(2)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NO_(2)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NO_(2)浓度变化的解释力。结果表明:(1)2020年新疆地区NO_(2)浓度平均值最高是在7月,最低是在2月,从1-7月NO_(2)浓度先下降后上升,从7月开始下降一直持续到11月。(2)NO_(2)浓度的Moran’I最大值为0.921,最小值为0.784,存在空间聚集性。NO_(2)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NO_(2)浓度约89.14%的区域呈基本不变,8.31%的地区NO_(2)浓度轻微增加,2.19%的地区NO_(2)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)NO_(2)浓度受多种影响因素共同作用,其中GDP对NO_(2)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NO_(2)浓度变化的影响较大。
Nitrogen dioxide(NO_(2)),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 NO_(2)concentration and its driving force can provide a better understanding of the natural and anthropogenic factors affecting the variation of NO_(2)concen-tration.In this paper,the NO_(2)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 NO_(2)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 NO_(2)concentration.The explanatory power of anthropogenic and natural factors on the variation of NO_(2)concentration was quantitatively analyzed by the OPGD model.The results showed that the highest mean value of NO_(2)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 NO_(2)concentration is 0.921.The minimum value is 0.784,with spatial clustering.The high-high clustering area of NO_(2)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 NO_(2)concentration in the whole territory is basically unchanged,8.31%of the area has a slight increase in NO_(2)concentration,2.19%of the area has a significant increase in NO_(2)concentration,0.36%of the area has a slight decrease,and there is no area with a significant decrease.NO_(2)concentration is affected by a variety of influencing factors,among which GDP has a greater explan-atory power for NO_(2)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 NO_(2)concentration.
作者
卡木然·买买提艾力
杨涵
艾则买提江·麦麦提图尔荪
KAMURAN Maimaitiaili;YANG Han;AIZEMAITIJIANG Maimaitituersun(School of Geography Science and Tourism,Xinjiang Normal University,Urumqi 830054,China;Xinjiang Laboratory of Lake Environment and Resources in Arid Zone,Urumqi 830054,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2024年第8期96-106,共11页
Environmental Science & Technology
基金
国家自然科学基金项目(42061007,42261058)。
作者简介
卡木然·买买提艾力(1999-),男,硕士研究生,研究方向为资源与环境遥感,(电子信箱)kamranm@sina.com;通讯作者:杨涵,女,副教授,博士,主要从事干旱区环境遥感方面研究,(电子信箱)yanghanxjnu@xjnu.edu.cn。
