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基于地理探测器的山西省PM_(2.5)时空变异及影响因素识别
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作者 高峰 李雨馨 +2 位作者 缑佳睿 王择浩 黄芮 《环境科学研究》 北大核心 2026年第1期36-49,共14页
PM_(2.5)作为空气质量评估体系中的核心指标之一,其时空变异特征和驱动机制研究对于污染防治具有重要的理论价值和现实意义。基于2000−2021年山西省时空无缝高质量逐月PM_(2.5)栅格数据,综合运用Theil-Sen Median趋势分析、Mann-Kendal... PM_(2.5)作为空气质量评估体系中的核心指标之一,其时空变异特征和驱动机制研究对于污染防治具有重要的理论价值和现实意义。基于2000−2021年山西省时空无缝高质量逐月PM_(2.5)栅格数据,综合运用Theil-Sen Median趋势分析、Mann-Kendall显著性检验和热点分析,系统揭示山西省PM_(2.5)时空变异特征,并利用地理探测器模型识别其主导驱动因子及交互作用。结果表明:①2000−2021年,山西省PM_(2.5)浓度整体呈显著下降趋势,年均变化斜率为−0.55μg/m^(3);PM_(2.5)浓度月际变化呈以8月为谷的“V”形分布格局;在季节性变化上,PM_(2.5)浓度呈冬季最高、夏季最低的特征。②PM_(2.5)浓度空间分布呈“南高北低、东高西低”的格局,高值区集中于汾河流域。热点分析显示,污染聚集具有明显的季节性差异,全年以冷点区为主导。③气温、高程与日照时数是PM_(2.5)时空变异的主导因子。两两因子交互的解释力高于单因子,其中气温-日照时数、气温-降水量、气温-干燥度构成影响山西省PM_(2.5)时空格局的关键因子组合。研究显示,山西省2000−2021年PM_(2.5)浓度整体下降,但仍呈显著的时空异质性,其时空变异主要受自然因子驱动,且多因子交互效应起关键作用。 展开更多
关键词 山西省 PM_(2.5) Theil-Sen Median趋势分析 热点分析 地理探测器
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宁夏气溶胶光学厚度时空变化及驱动因素分析
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作者 赵慧 李梦华 +3 位作者 康雄 王建英 韩颖娟 王云霞 《环境科学学报》 北大核心 2026年第1期263-278,共16页
为明确宁夏气溶胶光学厚度(Aerosol optical depth,AOD)时空变化特征,本研究基于气溶胶光学厚度数据MCD19A2,采用Sen’s斜率估计、Mann-Kendall趋势检验、Hurst指数等方法,分析宁夏2000—2023年AOD时空变化特征,利用最优参数地理探测器... 为明确宁夏气溶胶光学厚度(Aerosol optical depth,AOD)时空变化特征,本研究基于气溶胶光学厚度数据MCD19A2,采用Sen’s斜率估计、Mann-Kendall趋势检验、Hurst指数等方法,分析宁夏2000—2023年AOD时空变化特征,利用最优参数地理探测器,探究了2014—2023年气象条件、植被指数、污染物浓度、地形地貌、社会经济等因素对宁夏气溶胶光学厚度的影响,并进一步利用偏相关分析了与气象要素的关系.结果表明:(1)2000—2023年宁夏气溶胶光学厚度分布呈北高南低,79.95%的区域显著减小,且春季>夏季>冬季>秋季,4月平均值为年度最大,11月最小.(2)2014—2023年宁夏气溶胶光学厚度受高程影响最显著,其次为NO_(2)、平均气温和PM_(2.5),社会经济指标中的夜间灯光指数影响最大,双因子中,高程与O_(3)交互对气溶胶光学厚度空间分布影响最大.(3)2000—2023年气溶胶光学厚度与年平均气温、年降水量多呈负相关,与年相对湿度、年太阳辐射总体呈正相关,而与年平均风速的偏相关关系正负基本相当.研究成果为揭示自然因素、人为因素对气溶胶光学厚度的作用机理提供了参考. 展开更多
关键词 大气气溶胶 空间分析 最优参数地理探测器 时空分布特征
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城市隧道内棕碳气溶胶的吸光效应与分子组成特征
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作者 谭探探 强凯龙 +2 位作者 刘思睿 黄雨秋 李彦鹏 《中国环境科学》 北大核心 2026年第1期109-119,共11页
以西安市典型城市隧道(金花隧道)为研究对象,通过气溶胶粒径谱观测、PM_(2.5)化学组分分析,结合紫外-可见分光光度计与傅里叶变换离子回旋共振质谱,探究机动车排放BrC的光吸收特性、分子组成特征及其对能见度的影响.研究发现,金花隧道... 以西安市典型城市隧道(金花隧道)为研究对象,通过气溶胶粒径谱观测、PM_(2.5)化学组分分析,结合紫外-可见分光光度计与傅里叶变换离子回旋共振质谱,探究机动车排放BrC的光吸收特性、分子组成特征及其对能见度的影响.研究发现,金花隧道内气溶胶以超细颗粒(0.3~0.6µm)为主,中间段尤为突出(数浓度达2.38×10^(5)#/cm^(3)),并且与车流量变化一致.PM_(2.5)中OC(31.11、g/m^(3))和EC(7.97µg/m^(3))浓度显著高于开放环境,且SO_(4)^(2-)与Ca^(2+)占比突出,表明机动车一次排放与二次气溶胶生成的协同作用.光学层面,BrC在紫外波段(200nm)吸光系数高达329.2Mm^(-1)(休息日).而在可见光波段(550nm)吸光贡献占总消光0.32%,但由于未考虑可见光全波段及粒径差异的影响,其贡献可能被低估.分子层面,共鉴定出12548个分子式,以CHO(57.7%)、CHOS(19.6%)、CHON(17.3%)类化合物为主,其中CHON呈现强吸光性(34.5%DBE/C>0.5),而CHONS因极低挥发性(ELVOC占比91.3%)更易在颗粒相累积.研究揭示隧道内BrC分子共轭性、杂原子协同作用与吸光能力的关联性,量化其能见度效应,为交通源BrC的精细化管控与隧道空气质量的改善和通风照明条件的优化提供数据基础. 展开更多
关键词 隧道 棕色碳 光吸收 分子组成 能见度
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气传致敏花粉爆发性增长过程的气象成因分析
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作者 胡祉懿 孙兆彬 +4 位作者 张宇 张涵 马锋 张勇 唐源 《中国环境科学》 北大核心 2026年第1期503-514,共12页
气象条件对花粉浓度具有显著影响,本研究以我国花粉发病率最高的城市之一——陕西省榆林市为例,使用2019~2021年花粉浓度数据、气象数据,采用统计分析和天气学诊断的方法,分析了2021年8月4~7日榆林市一次花粉浓度爆发性增长过程的气象成... 气象条件对花粉浓度具有显著影响,本研究以我国花粉发病率最高的城市之一——陕西省榆林市为例,使用2019~2021年花粉浓度数据、气象数据,采用统计分析和天气学诊断的方法,分析了2021年8月4~7日榆林市一次花粉浓度爆发性增长过程的气象成因.结果表明:榆林市花粉浓度变化具有典型的季节性特征,呈现春秋两季双峰型.温度升高与低湿度环境共同触发沙蒿花药开裂,而1.5~3.0m/s风速区间有利于花粉扩散效率.研究时段内较大的近地面风速为花粉局地扩散提供了动力条件,但多变的风向阻碍了稳定传输通道的形成,造成花粉累积.就环流形势而言,高空槽脊转换与中低层反气旋活动是花粉累积的关键动力条件,下沉运动通过降低边界层高度及形成逆温层显著抑制大气扩散能力.总云量通过调控地表辐射收支与垂直运动,进一步影响边界层热力结构,低云量时段与边界层压缩的协同是浓度日累积高峰形成的关键气象因素. 展开更多
关键词 气传花粉 爆发性 气象因素 下沉运动 逆温
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室内生物气溶胶中微生物浓度的预测模型——以青岛为例
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作者 赵茹 郭亮 祁建华 《中国海洋大学学报(自然科学版)》 北大核心 2026年第1期94-107,共14页
为解决生物气溶胶在呼吸系统中沉积引起的呼吸道疾病的问题,通过预测室内生物气溶胶中微生物浓度来防控健康风险,本研究在青岛三所高校的办公室和实验室内采集样本,采用DAPI染色和LIVE/DEAD®BacLightTM染色结合荧光显微技术,测定... 为解决生物气溶胶在呼吸系统中沉积引起的呼吸道疾病的问题,通过预测室内生物气溶胶中微生物浓度来防控健康风险,本研究在青岛三所高校的办公室和实验室内采集样本,采用DAPI染色和LIVE/DEAD®BacLightTM染色结合荧光显微技术,测定总微生物(Total airborne microbes,TAMs)、活细菌(Viable bacteria,VBs)和死细菌(Non-viable bacteria,NVBs)的浓度。结果显示,室内VBs浓度范围为0.10×10^(4)~1.97×10^(4) cells/m^(3),NVBs和TAMs的浓度范围分别为3.11×10^(4)~12.63×10^(4)和1.09×10^(5)~9.42×10^(5) cells/m^(3)。为探究室内TAMs浓度与环境因素之间的关系,本文通过比较多元线性回归(Multiple linear regression,MLR)、Ridge回归和Poisson回归模型的结果发现,MLR预测能力有限,Ridge回归无法合理解释所有变量,而Poisson回归模型能够更准确地解释和预测微生物浓度。结果表明,温度、相对湿度(Relative humidity,RH)、颗粒物浓度及人类活动共同影响室内空气中微生物浓度,其中PM10和RH的影响最为显著。本研究构建的低成本预测模型可为室内空气质量管理提供借鉴和参考。 展开更多
关键词 生物气溶胶 室内 影响因素 POISSON回归 多元线性回归
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2025年4月广东省一次罕见浮尘天气过程的气象成因分析
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作者 王俊彬 李婷苑 +2 位作者 龚宇 陈靖扬 沈劲 《中国环境科学》 北大核心 2026年第1期41-52,共12页
2025年4月12~16日广东省出现了一次大范围的罕见浮尘天气过程,为了解本次过程的气象成因,基于多源融合观测资料和再分析资料进行了分析.结果表明,东亚大槽引导的冷空气在蒙古国西南部形成沙尘区,并推动沙尘深度南下,输入广东省.受沙尘影... 2025年4月12~16日广东省出现了一次大范围的罕见浮尘天气过程,为了解本次过程的气象成因,基于多源融合观测资料和再分析资料进行了分析.结果表明,东亚大槽引导的冷空气在蒙古国西南部形成沙尘区,并推动沙尘深度南下,输入广东省.受沙尘影响,广东省21个城市均出现PM_(10)浓度超标,共计出现54个污染城数,其中有6个重度污染.13日广东全省平均PM_(10)浓度高达305.2µg/m^(3),是2014年以来第二高值的2.4倍,其中广州市PM_(10)日平均浓度最高(400µg/m^(3)),显著高于2009年沙尘入粤过程的浓度值.沙尘源地的气候分析发现,受脊前西北气流影响,蒙古国西部大部分地区2~3月累积降水量在10mm以下,较历史同期偏少,导致土壤湿度降至近30年第4低的水平,为沙尘的形成提供了有利的下垫面条件.沙尘传输过程的分析指出,本次冷空气过程在南岭山脉区域形成了近30年最强的偏北风,极端强风推动沙尘颗粒直接翻越南岭山脉南下,将大量沙尘颗粒带入广东省.后向轨迹分析表明,到达广东省四大区域的沙尘颗粒前期均由内蒙古向南输送至湖北省,后期则沿北路、东北路和西北路3种不同路径南下,翻越不同高度的山脉地形后入粤,使得广东省出现大范围浮尘天气. 展开更多
关键词 广东省 浮尘天气 气象成因 冷空气 后向轨迹
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太原市冬夏两季PM_(2.5)污染区域传输特征、来源解析及健康风险评估
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作者 冯畅 成宏 +4 位作者 王晟春 邵纪元 王艺文 鄢思怡 张昕 《环境科学学报》 北大核心 2026年第1期217-227,共11页
为探究太原市冬夏两季大气污染区域传输特性和来源贡献,本研究于2022年6月和12月对太原市大气细颗粒物(PM_(2.5))进行连续采集,分析其中水溶性离子和金属元素,通过EPA PMF5.0对PM_(2.5)进行来源解析,结合健康风险评估模型量化了其重金... 为探究太原市冬夏两季大气污染区域传输特性和来源贡献,本研究于2022年6月和12月对太原市大气细颗粒物(PM_(2.5))进行连续采集,分析其中水溶性离子和金属元素,通过EPA PMF5.0对PM_(2.5)进行来源解析,结合健康风险评估模型量化了其重金属暴露风险,并运用HYSPLIT后向轨迹模型分析了PM_(2.5)气团的传输路径及潜在污染源.结果表明:太原市夏季受东南亚季风气候影响,气团呈现出以东南和西北方向为主导的双向传输特征,加权潜在源贡献函数(WPSCF)值介于0.6~0.8之间,加权浓度权重轨迹函数(WCWT)值超过55μg·m^(-3);冬季受西伯利亚-蒙古高压系统控制,气团以西北方向单主导传输为主,WPSCF值介于0.7~1.0之间,WCWT值超过60μg·m^(-3).源解析结果表明,太原市PM_(2.5)污染的主要来源为二次污染源(45%)、生物质燃烧源(20.7%)、扬尘源(15.2%)、燃煤源(12.3%)和交通源(6.8%)5类.健康风险评估显示,冬夏两季均不存在明显的非致癌风险,但冬季的风险值普遍高于夏季,儿童的暴露风险普遍高于成人,3种暴露途径中经口摄入为最主要暴露途径,其中,Pb和Cr的贡献程度相对较大.本研究揭示了太原市PM_(2.5)污染的跨区域传输特性、季节差异及本地源排放规律,为污染防治和差异化管控提供了科学依据. 展开更多
关键词 太原市 PM_(2.5) 后向轨迹 来源解析 健康风险评估
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京津冀水泥行业PM_(2.5)技术减排及健康影响评价
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作者 宗文婧 杨须艳 +1 位作者 张笛 张岳玲 《中国环境科学》 北大核心 2026年第1期568-578,共11页
以京津冀地区68家全流程水泥企业2020年度排放清单为基础,结合37项减排技术构建三种实施情景,选取CALPUFF模型、IER和GEMM两种暴露风险模型以及三种经济评估手段(生命统计价值法(VSL)、年龄调整生命统计价值法(A_VSL)、修正劳动力资本... 以京津冀地区68家全流程水泥企业2020年度排放清单为基础,结合37项减排技术构建三种实施情景,选取CALPUFF模型、IER和GEMM两种暴露风险模型以及三种经济评估手段(生命统计价值法(VSL)、年龄调整生命统计价值法(A_VSL)、修正劳动力资本损失法(AHC)),针对京津冀地区水泥行业PM_(2.5)排放进行了减排潜力、浓度响应及健康影响评价.结果表明,技术减排情景S1和S2的PM_(2.5)一次污染物技术减排量及浓度下降幅度分别达2.17‰~5.50‰与3.20%~12.10%.三种情景下京津冀三地IER可避免早逝人数约占GEMM可避免早逝人数60%,各市S1和S2的可避免早逝人数分别约占S0可避免早逝人数4%~5%和9%~10%.寿命延长年的主要受益群体集中在65+和70+年龄组,石家庄、保定和唐山三市的寿命延长年总量约占全省的57%.S1的可避免经济损失约为S2的50%,仅为水泥行业实现“零排放”为理想情景(S0)的约5%.VSL方法估值最大,A_VSL次之,AHC最低.GEMM结果为例,三情景下三地可避免经济损失北京最大,除VSL、AHC方法的S0河北反超北京(44.89亿元vs 38.73亿元,0.36亿元vs 0.34亿元). 展开更多
关键词 京津冀 水泥行业 PM_(2.5) 技术减排 健康影响评价
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成都大运会大气污染管控政策对PM_(2.5)理化特征及来源的影响
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作者 彭小雪 龙宇涵 +5 位作者 刘思雨 姚逊哲 傅心怡 何仁江 史凯 张军科 《环境科学学报》 北大核心 2026年第1期228-238,共11页
为评估成都大运会期间大气污染管控政策减排效果及其对PM_(2.5)理化特征和来源的影响,于2023年夏季对成都大气PM_(2.5)进行了连续采样与分析.根据管控政策实施节点,整个观测时段可分为管控前(7月8日—21日)、常规管控期P1(7月22日—25日... 为评估成都大运会期间大气污染管控政策减排效果及其对PM_(2.5)理化特征和来源的影响,于2023年夏季对成都大气PM_(2.5)进行了连续采样与分析.根据管控政策实施节点,整个观测时段可分为管控前(7月8日—21日)、常规管控期P1(7月22日—25日和7月30日—8月10日)、加强管控期P2(7月26日—29日)和管控结束(8月11日—26日).结果表明,管控政策的实施对于各类污染物减排效果明显.相比管控前,PM_(2.5)、NO_(2)和O_(3)浓度在P2阶段分别下降了56.2%、42.6%和34.9%;同时,POC/OC比值从管控前的0.6降至P2阶段的0.3,而SOC/OC比值则从0.4升至0.7,一次源减排效果显著.水溶性无机离子中,相比管控前,P2阶段SO_(4)^(2-)、NO_(3)^(-)、NH_(4)^(+)浓度分别下降了59.9%、66.2%和60.2%.管控结束后各组分浓度反弹明显.PM_(2.5)主要来源包括移动源(40.6%)、扬尘源(16.7%)、二次硫酸盐与生物质燃烧复合源(23.1%)、二次硝酸盐源(13.3%)及燃煤源(6.3%).受各阶段不同源管控强度的变化,各源的相对贡献呈现出了差异化的变化特征.其中,移动源在P1阶段最高,为47.9%;扬尘源和二次硫酸盐与生物质燃烧复合源在P2阶段最高,分别为22.1%和26.0%;二次硝酸盐和燃煤源贡献则因管控结束后相关排放行业的快速恢复生产而在管控结束后达到最高,分别为16.7%和8.7%.管控前PM_(2.5)潜在源高值区广泛分布于成都以东和川渝交界地区,管控期间潜在源区范围及贡献强度减弱,但管控结束后出现反弹. 展开更多
关键词 成都大运会 PM_(2.5) 化学组成 污染管控 来源解析
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基于有机示踪物解析武汉市城区大气可吸入颗粒物来源
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作者 王黎娟 赵永毅 +1 位作者 汪琼琼 余欢 《环境科学学报》 北大核心 2026年第1期251-262,共12页
可吸入颗粒物(PM_(10))既包含2.5μm以下的细颗粒物,也包括2.5~10μm的粗颗粒物,其来源客观上比PM_(2.5)更加复杂多样,在特定地区、特定时段仍然存在超标风险.本研究通过分析武汉市空气质量监测网数据,发现城市地区PM_(10)时空分布异质... 可吸入颗粒物(PM_(10))既包含2.5μm以下的细颗粒物,也包括2.5~10μm的粗颗粒物,其来源客观上比PM_(2.5)更加复杂多样,在特定地区、特定时段仍然存在超标风险.本研究通过分析武汉市空气质量监测网数据,发现城市地区PM_(10)时空分布异质性强,易受局地性污染源影响.同时,结合33种有机示踪物和18种无机示踪物,运用正定矩阵因子分解(PMF)模型解析了武汉市PM_(10)污染较严重的中心城区江汉区PM_(10)来源.结果表明,相较于传统的无机示踪物,有机示踪物的加入降低了PMF结果的因子共线性和旋转模糊性,能够解析出二次有机气溶胶和餐饮源,更好地区分了二次硫酸盐和二次硝酸盐生成过程对PM_(10)的贡献,减少了对燃煤源和土壤扬尘源的高估.结合受体模型、污染源调查、走航监测、后向轨迹和裸土航拍照片,本研究实现了各种污染场景下更为精细的PM_(10)源解析,发现春季前期土壤扬尘是主导因素(47.5%),进入5月后二次污染源成为主要污染源(57.0%).在局地性污染时土壤扬尘占比57.8%,区域性污染时二次硝酸盐和煤燃烧贡献均上升至接近20%.土壤扬尘、工业源和煤燃烧贡献率在高PM_(10)浓度区间增加,二次源贡献率在低PM_(10)浓度区间增加. 展开更多
关键词 可吸入颗粒物(PM_(10)) 有机示踪物 正定矩阵因子分解(PMF) 城市大气
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Unveiling the origins of Northern Thailand’s haze:comprehensive chemical characterization and source apportionment of PM_(2.5) using targeted molecular markers
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作者 Supattarachai Saksakulkrai Somporn Chantara +2 位作者 Pavidarin Kraisitnitikul Deepchandra Srivastava Zongbo Shi 《Journal of Environmental Sciences》 2026年第1期635-648,共14页
Annual haze in Northern Thailand has become increasingly severe,impacting health and the environment.How-ever,the sources of the haze remain poorly quantified due to limited observational data on aerosol molecular tra... Annual haze in Northern Thailand has become increasingly severe,impacting health and the environment.How-ever,the sources of the haze remain poorly quantified due to limited observational data on aerosol molecular tracers.This study comprehensively investigates chemical composition of PM_(2.5),including both inorganic and organic compounds throughout haze and post-haze periods in 2019 at a rural site of Northern Thailand.Average PM_(2.5) concentrations during haze and post-haze period were 87±36 and 21±11μg/m^(3),respectively.Organic matter was the dominant contributor in PM_(2.5) mass,followed by water soluble inorganic ions and mineral dust.Molecular markers,including levoglucosan,dehydroabietic acid,and 4-nitrocatechol,and ions(Cl^(-),and K^(+)),were used to characterize low haze(PM_(2.5)<100μg/m^(3))and episodic haze(PM_(2.5)>100μg/m^(3)).Low haze is associated with local aerosols from agricultural waste burning,while episodic haze is linked to aged aerosols from mixed agricultural waste,softwood,and hardwood burning.Source apportionment incorporating these molecular markers in receptor modelling(Positive matrix factorization),identified three distinct biomass burning sources:mixed,local,and aged biomass burnings,contributing 31,19 and 13%of PM_(2.5) during haze period.During post-haze period,contributions shifted,with local biomass burning(32%)comparable to secondary sulfate(34%)and mixed dust and traffic sources(26%).These findings demonstrate that both regional and local sources con-tribute to severe haze,highlighting the need for integrated policies for cross-border cooperation as well as stricter regulations to reduce biomass burning in Northern Thailand and Southeast Asia. 展开更多
关键词 Chiang Mai Smoke haze Biomass burning PM_(2.5) Source apportionment Positive matric factorization
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Chemical characteristics of fine aerosols and associated speciated organic compounds in summer Nanjing,China
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作者 Yuanjie Shan Daoming Li +7 位作者 Shijie Cui Jiukun Xian Yunjiang Zhang Junfeng Wang Haiwei Li Ming Wang Yun Wu Xinlei Ge 《Journal of Environmental Sciences》 2026年第1期349-361,共13页
Along with decrease of fine particulate matter(PM_(2.5))concentration in recent years in China,secondary species become increasingly important.This work focuses on characterizing secondary components,and a few importa... Along with decrease of fine particulate matter(PM_(2.5))concentration in recent years in China,secondary species become increasingly important.This work focuses on characterizing secondary components,and a few important groups of organics including organic nitrogen(ON),organonitrates(OrgN),organosulfates(OS)and polycyclic aromatic hydrocarbons(PAHs),via online measurement of submicron aerosols(PM_(1))in Nanjing,China,during 2022 summer.The average PM_(1) concentration was 15.39μg/m^(3),dominated by secondary components(69.1%),which were even more important at higher PM_(1) levels.The primary organic aerosols(POA)were from traffic,industry and cooking;the two secondary OA factors were both closely linked with photochemistry,with one(OOA1)being relatively fresh and important in early afternoon and another(OOA2)being aged and important in late afternoon.Sulfate formation was also governed by photochemistry but resembled that of OOA2 not OOA1;nitrate formation was associated strongly with heterogeneous hydrolysis and thermodynamic equilibrium.Results also reveal a possible photochemical reaction channel from POA to OOA1,then to OOA2.Case studies show that formations of secondary components responded differently to different weather conditions and governed summer PM_(1) pollution.The average ON,OrgN,OS and PAHs concentrations were determined to be 122.8,84.4,45.6 and 3.3 ng/m^(3),respectively.ON was dominated by primary sources(53.8%).OrgN varied similarly to nitrate.OS formation was linked with aqueous-phase reactions,which were insignificant therefore its level was low.PAHs was mainly from traffic,and photochemical oxidation might be its important sink during afternoon. 展开更多
关键词 Secondary organic aerosol Organic nitrogen Organonitrate Organosulfate Polycyclic aromatic hydrocarbons
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大风天气条件下大气污染物质量浓度变化特征提取研究
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作者 李佳 高宇星 +1 位作者 蔡惠文 薛文华 《环境科学与管理》 2026年第1期143-147,共5页
大风天气条件下风速的突然变化使得污染物质量浓度产生瞬时波动,导致特征提取难度增加,为此提出了大风天气条件下大气污染物质量浓度变化特征提取方法。采用大气颗粒物监测仪持续监测研究区域,确保监测数据的时序连续性。结合天气影响... 大风天气条件下风速的突然变化使得污染物质量浓度产生瞬时波动,导致特征提取难度增加,为此提出了大风天气条件下大气污染物质量浓度变化特征提取方法。采用大气颗粒物监测仪持续监测研究区域,确保监测数据的时序连续性。结合天气影响指数、皮尔逊相关系数及后向轨迹模式,分析大气污染物浓度变化特征。研究结果显示,大风天气时PM_(10)质量浓度上升趋势更显著;冬季PM_(2.5)和PM_(10)浓度最高;O3和SO_(2)夏季浓度最高,秋冬较低。大风条件下,商业区和工业区PM_(10)、PM_(2.5)浓度高,O3浓度低,工业区SO_(2)浓度偏高,居住区PM_(10)、PM_(2.5)、SO_(2)浓度较低,O3浓度较高。 展开更多
关键词 大风天气 空气污染 浓度变化 特征提取 皮尔逊积矩相关系数
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Oxidative potential of PM_(2.5) in Guangzhou,Southern China:Source apportionment and association with airborne bacteria
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作者 Yuxin Huang Senchao Lai +7 位作者 Baoling Liang Jinpu Zhang Chenglei Pei Dachi Hong Xiaoluan Lin Zhaokang Ruan Leitao Sun Yingyi Zhang 《Journal of Environmental Sciences》 2026年第1期64-72,共9页
Oxidative potential(OP)can be used as an indicator of the health risks of particulate matter in the air.To study the variation and sources of OP,we conducted an observation of PM_(2.5) in a megacity in southern China ... Oxidative potential(OP)can be used as an indicator of the health risks of particulate matter in the air.To study the variation and sources of OP,we conducted an observation of PM_(2.5) in a megacity in southern China in winter and spring of 2021.The results show that the average concentration of PM_(2.5) decreased by 47%from winter to spring,while volume-normalized and mass-normalized OP(i.e.,OP_(v) and OP_(m))increased by 6%and 69%,respectively.It suggests that the decline of PM_(2.5) may not necessarily decrease the health risks and the intrinsic toxicity of PM_(2.5).Variations of OP_(v) and OP_(m) among different periods were related to the different source contributions and environmental conditions.The positive matrix factorization model was used to identify the major sources of OP_(v).OP_(v) was mainly contributed by biomass burning/industrial emissions(29%),soil/road dust(20%),secondary sulfate(14%),and coal combustion(13%)in winter.Different major sources were resolved to be secondary sulfate(36%),biological sources(21%),and marine vessels(20%)in spring,presenting the substantial contribution of biological sources.The analysis shows strong associations between OP_(v) and both live and dead bacteria,further confirming the important contribution of bioaerosols to the enhancement of OP.This study highlights the importance of understanding OP in ambient PM_(2.5) in terms of public health impact and provides a new insight into the biological contribution to OP. 展开更多
关键词 Oxidative potential PM_(2.5) Source apportionment Positive matrix factorization Airborne bacteria
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Investigation of natural and anthropogenic effects on aerosols optical properties over the Western Pacific ocean by the research vessel KEXUE
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作者 Jinyuan Xin Yining Ma +6 位作者 Xiangguang Zhang Yongjing Ma Xiaoyan Wu Fangkun Wu Quan Liu Yilong Lyu Jiawei Jiang 《Journal of Environmental Sciences》 2026年第1期596-605,共10页
In winter 2018,an aerosol physicochemical experiment was conducted in the Western Pacific Ocean(WPO)aboard the Research Vessel KEXUE of Chinese Academy of Sciences.This study systematically investigated both natural a... In winter 2018,an aerosol physicochemical experiment was conducted in the Western Pacific Ocean(WPO)aboard the Research Vessel KEXUE of Chinese Academy of Sciences.This study systematically investigated both natural and anthropogenic effects on marine aerosols optical properties,as well as the applicability of multi-satellite products and IMPROVE equation.The averaged aerosol optical depth(AOD500 nm)was 0.31±0.16 andÅngström exponent440–675 nm was 0.29±0.30.In offshore China,significant anthropogenic emissions affected the marine environment.In remote WPO,dust aerosols transported from northern China,Siberia,Central Asia,and those settling from the upper troposphere originating from north Africa,Arabian peninsula,and western India,were dominant.The spatial trends of AOD were opposite in the mid-latitude and southern seas of WPO.The highest AOD,0.32±0.23,appeared along the coast of South Asia at mid-latitude,decreasing from offshore seas to remote oceans.In low-latitude and equatorial seas,AOD significantly increased from coast to remote oceans.Ångström exponent dropped significantly from the coast to remote oceans as anthropogenic influence diminished across the entire WPO.Correlation analysis showed that both MODIS-C6 and Himawari AOD prod-ucts showed similar applicability in coastal urban areas,while Himawari AOD is highly recommended for coastal background and marine environment due to its finer resolution.The extinction coefficient derived from PM_(2.5) chemical compositions using IMPROVE algorithm exhibited a significant correlation(R^(2)=0.58)with the con-currently measured AOD in the absence of long-distance transport,suggesting that the IMPROVE is a reasonable proxy of the columnar average of marine aerosol extinctions free from transport influences. 展开更多
关键词 Aerosol optical properties Natural and anthropogenic effects Improve algorithm Ship-borne experiment Western Pacific Ocean
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Response of imidazole-containing particles to emission reduction policies in China:Insights from observations in a megacity in the Sichuan Basin
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作者 Chunying Chen Yunfei Su +1 位作者 Siyu Liu Junke Zhang 《Journal of Environmental Sciences》 2026年第1期403-412,共10页
Imidazole(IM)particles in the atmosphere affect climate,atmospheric chemical reactions,and human health.However,research on IM particles in the Sichuan Basin(SCB),one of the areas of China affected most heavily by haz... Imidazole(IM)particles in the atmosphere affect climate,atmospheric chemical reactions,and human health.However,research on IM particles in the Sichuan Basin(SCB),one of the areas of China affected most heavily by haze,remains very scarce.This study used single-particle aerosol mass spectrometry to investigate IM-containing particles in Chengdu,one of the megacities in the SCB,during summer and winter before and after implemen-tation of the Three-year Action Plan to Win the Blue-Sky Defense War(BSDW).We found that IM-containing particles accounted for 1.2%–12.0%of all detected particles,and they highly mixed with carbonaceous com-ponents,secondary inorganic species,and organic nitrogen.From before to after the BSDW,the proportion of IM-containing particles decreased by 1.8%in summer,but increased by 9.6%in winter.Ammonium/amines and carbonyl compounds were closely related to IM-containing particles;the highest proportion of IM-containing particles occurred in particles mixed with amines and carbonyls.The number fraction of IM-containing particles in all seasons was higher at night than during daytime.The potential source areas of IM-containing particles showed notable narrowing after the BSDW,and the high-value areas were found distributed closer to Chengdu and its surrounding areas.In the winter before the BSDW,most IM-containing particles(>70%)were mixed with organic carbon(OC)particles,and the contributions of OC and mixed organic–elemental carbon(OC-EC)particles increased with aggravation of pollution,whereas OC-EC and Metal particles played a more crucial role in the winter after the BSDW. 展开更多
关键词 IM-containing particles Seasonal differences Formation mechanism Regional transmission Single-particle aerosol mass spectrometer
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Global health risk attributable to PM_(2.5) pollution in relation to wealth inequality
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作者 Lulu Lian Jianping Huang +5 位作者 Siyu Chen Jianmin Ma Xinbo Lian Lihui Zhang Shikang Du Dan Zhao 《Journal of Environmental Sciences》 2026年第1期471-479,共9页
Ambient fine particulate matter(PM_(2.5))pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global we... Ambient fine particulate matter(PM_(2.5))pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global wealth inequality has intensified in recent years,yet the relationship between wealth inequality and health risks related to PM_(2.5) pollution remains poorly understood.In this study,we evaluated the global mortality and health cost at-tributable to PM_(2.5) exposure from 2017 to 2021,and analyzed the relationship between wealth inequality,PM_(2.5) pollution,and the associated health risks across regions with varying economic levels.We found a consistent decline in mortalities and health costs attributable to PM_(2.5) exposure from 2017 to 2020,followed by a rebound after 2020,driven primarily by the resurgence of PM_(2.5) concentrations and a deceleration in the reduction of baseline mortality rates.We also found that the average PM_(2.5) concentration and associated risks decrease as domestic wealth inequality decreases and national income level increases.However,regions with extremely high levels of wealth inequality consistently show lower national average PM_(2.5) concentrations and health risks.These findings highlight the need to consider healthcare security during emergencies,as well as policy fairness across economic regions,in the formulation of global PM_(2.5) pollution control measures to promote sustainable,more equitable economic growth and coordinated air pollution management. 展开更多
关键词 PM_(2.5)pollution MORTALITY Health cost Wealth inequality
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Characteristics of Submicron Aerosols (PM_(1)) in a Yangtze River Delta Megacity:Composition,Sources,and Light Absorption
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作者 Shiyue YANG Haifeng MENG +8 位作者 Ning ZHANG Shijie CUI Yuanjie SHAN Yu HUANG Yunlong XU Chongchong ZHANG Xinlei GE Mindong CHEN Junfeng WANG 《Advances in Atmospheric Sciences》 2026年第1期247-258,共12页
We conducted a field campaign to investigate the chemical composition,sources,and light absorption of submicron aerosols(PM_(1))from early 2022 in Nanjing,China.The average concentration of PM_(1) was 31μg m^(−3),org... We conducted a field campaign to investigate the chemical composition,sources,and light absorption of submicron aerosols(PM_(1))from early 2022 in Nanjing,China.The average concentration of PM_(1) was 31μg m^(−3),organics(33%)constituted the largest fraction,followed by nitrate(30%),sulfate(18%),ammonium(15%),chloride(3%),and rBC(2%).Four organic aerosol(OA)subcomponents were identified,including two primary OA(POA)and two secondary OA(SOA).The less-oxidized SOA(LO-OOA)contributes the most to the total OA mass(59%).LO-OOA is tightly correlated with the tracer ion C_(2)H_(4)O_(2)^(+)from levoglucosan,and another aged biomass-burning derived species,K_(3)SO_(4)^(+),suggesting it was likely influenced by aged biomass-burning OA.Our study also revealed that fireworks during the Spring Festival have a detrimental impact on air quality,contributing to secondary formation and accumulation under static winter meteorological conditions,prolonging the pollution duration.Also,LO-OOA was found to have the strongest light-absorbing ability.Our results highlight that the light absorption of LO-OOA can mainly be attributed to the C_(x)H_(y)N^(+) family,increased with the double-bond equivalent value.The more-oxidized SOA(MO-OOA)exhibited a negligible light absorption and was strongly correlated with daytime photochemical processes,implying a light-bleaching effect.This study enhances our understanding of the regional contribution of biomass combustion and fireworks to PM_(1) pollution in Nanjing,a typical megacity in the Yangtze River Delta region,during winter,aiding in the development of strategies for long-term air quality improvement in the region. 展开更多
关键词 PM_(1) source apportionment Yangtze River Delta Region brown carbon
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融合二次分解的深度学习模型在PM_(2.5)浓度预测中的应用 被引量:2
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作者 江雨燕 黄体臣 +1 位作者 甘如美江 王付宇 《安全与环境学报》 北大核心 2025年第1期296-309,共14页
针对PM_(2.5)质量浓度时间序列呈非线性难以预测的特征,为了进一步提高PM_(2.5)质量浓度预测精确度,研究通过“分而治之”先分解再预测的思想,提出一种融合二次分解的PM_(2.5)质量浓度混合预测模型(Complete Ensemble Empirical Mode De... 针对PM_(2.5)质量浓度时间序列呈非线性难以预测的特征,为了进一步提高PM_(2.5)质量浓度预测精确度,研究通过“分而治之”先分解再预测的思想,提出一种融合二次分解的PM_(2.5)质量浓度混合预测模型(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise-Variational Mode Decomposition-Temporal Convolutional Network-Bi-directional Long Short-Term Memory,CEEMDAN-VMD-TCN-BiLSTM)。该模型先由递归特征消除(Recursive Feature Elimination,RFE)进行特征筛选,随后使用自适应噪声完备集合经验模态分解(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN)将2013—2016年北京市PM_(2.5)质量浓度序列分解为一系列高低频模态分量并计算各分量样本熵,将样本熵由K-means聚类整合为新的分量,再由变分模态分解(Variational Mode Decomposition,VMD)方法进行二次分解。最后,将所有分量先经时间卷积网络(Temporal Convolutional Network,TCN)进行特征提取,并通过双向长短期记忆网络(Bi-directional Long Short-Term Memory,BiLSTM)预测,叠加各分量预测值即为最终预测结果。消融试验结果显示,该模型相比于单次CEEMDAN分解模型均方根误差E_(MAPE)降低19.312%,绝对误差E_(MAE)降低34.423%,百分比误差E_(MAPE)与希尔不等系数E_(TIC)分别减少40.465百分点和59.794%。由此可见,研究在引入VMD构成二次分解模型相比于单次分解模型的预测误差更小,精度更高,可为决策者在PM_(2.5)质量浓度预测与治理等工作提供一定参考。 展开更多
关键词 环境工程学 PM_(2.5)质量浓度预测 自适应噪声的完备经验模态分解 变分模态分解 时间卷积网络 双向长短期记忆网络
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大客车轮胎磨损颗粒物散射及其对呼吸健康的风险研究 被引量:1
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作者 黄海波 杜龙飞 +3 位作者 任睿 王巍嵩 贺华波 施恒 《安全与环境学报》 北大核心 2025年第2期723-731,共9页
随着新能源汽车的发展以及日益严格的排放法规,轮胎磨损颗粒物(Tire Wear Particles, TWPs)的排放已经超过尾气排放,成为道路交通“非尾气”排放的一个重要来源。研究建立了大客车-花纹轮胎-轮胎磨损颗粒物的气固两相流模型,并探究了不... 随着新能源汽车的发展以及日益严格的排放法规,轮胎磨损颗粒物(Tire Wear Particles, TWPs)的排放已经超过尾气排放,成为道路交通“非尾气”排放的一个重要来源。研究建立了大客车-花纹轮胎-轮胎磨损颗粒物的气固两相流模型,并探究了不同车速下大客车轮胎磨损颗粒物的空间质量浓度分布特性。结果显示:TWPs的散射轨迹受车辆外部流场和车尾涡旋的影响,不同粒径的磨损颗粒物在散射过程中呈现出明显分层现象;在纵向上,磨损颗粒物扩散高度呈先升高后保持稳定的现象,且扩散高度随车速差异逐渐稳定在3.45~3.76 m;在横向上,最大扩散宽度稳定在6.0 m左右;颗粒物质量浓度沿车侧方向遵循近似的正态分布,在车速为20 km/h,距车辆左右对称面宽度为4.3 m、距地面高度为0.4 m处,达到峰值85.1μg/m^(3),在距离对称面宽度为4.0~5.0 m,高度为0~1.0 m范围是呼吸健康的潜在危险区域。研究获取了大客车轮胎磨损颗粒物的空间扩散分布特性和质量浓度分布规律及对生物体呼吸健康的影响,为大客车颗粒物造成的环境问题研究及其捕集策略的制定提供了科学参考。 展开更多
关键词 环境工程学 “非尾气”排放 气固两相流模型 轮胎磨损颗粒物 质量浓度分布 呼吸健康
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