大气污染源监测采样技术

依据气态污染源共同的排放特性及平均排放浓度，排放速率的概念，导出气态污染源监测中常用的三种采样方法：积分法、分部积分法、有限加合近似法。根据分析化学的要求，提出样品采集时间的设计方法。由此得出不同类型排放源的监测时间和采样频率确定方法。     

天津市土壤风沙尘元素的分布特征和来源研究

通过与土壤标准和背景值的比较分析了天津市土壤风沙尘元素的质量分数分布特征，通过富集因子法分析了天津市风沙尘元素的富集特征，进而说明天津市风沙尘元素的来源及其变化。结果表明，（1）Cr、Ni、Cu、Zn和As质量分数均有超过土壤标准的现象。（2）Ni、Cu、Pb、Zn和Ag超过背景值10倍以上，受到了人为污染。（3）粗颗粒中西青区的Pb元素，津南区的Ni元素和Pb元素以及细颗粒中东丽区的Ca元素和Zn元素，西青区的Cu、Pb，津南区的Cr、Ni、Pb等元素达到显著污染级别；各区粗细颗粒中的Ag元素污染级别最高，有的为极强烈污染；这些元素是典型的人为污染元素。（4）粗颗粒中只有Ca和Ni污染级别有所增加，细颗粒中只有Na、Ni、As等3种元素的富集因子略有增加。所以，天津市土壤风沙尘的治理重在控制人为来源的Ni、Cu、Pb、Zn、Ag、Cr和Ca等高污染元素。     

天津市机动车污染评估方法

依据城市机动车空气污染评价方法确立了天津市空气污染物机动车污染的评价体系。该评价体系具有准确性、先进性和实用性，采用科学的方法估算天津市城区机动车排气污染物的排放浓度及总量对环境空气污染的分担率。科学地给出了天津市现阶段机动车污染的现状及发展趋势，为环境保护决策提供了科学依据。     

黄河流域河水氮污染分析

通过对黄河水系干、支流1980－1990－1997－1999年河水氮污染水质监测数据进行分析，发现：（1）自流域上游至下游，各主要支流河水氮污染有增加的趋势，造成干流河水氮污染沿程亦呈增加的趋势；（2）点污染对黄河干、支流河水氮污染的贡献较大，但在1990－1997年间，流域河水氮污染的点源／面源之比有降低的趋势，干流潼关站河水中总氮的点源与面源之比由1990年的2．7降至1997年的1．8；（3）黄河干、支流河水氨氮、总氮的含量在1980－1990－1997－1999年间存在明显的加速上升趋势，主要是由流域废污水排放量和氮肥施用量的增加所致。     

Progressively narrow the gap of PM2.5 pollution characteristics at urban and suburban sites in a megacity of Sichuan Basin, China

Nowadays, the fine particle pollution is still severe in some megacities of China, especially in the Sichuan Basin, southwestern China. In order to understand the causes, sources, and impacts of fine particles, we collected PM_2.5 samples and analyzed their chemical composition in typical months from July 2018 to May 2019 at an urban and a suburban (background) site of Chengdu, a megacity in this region. The daily average concentrations of PM_2.5 ranged from 5.6-102.3 µg/m³ and 4.3-110.4 µg/m³ at each site. Secondary inorganics and organic matters were the major components in PM_2.5 at both sites. The proportion of nitrate in PM_2.5 has exceeded sulfate and become the primary inorganic component. SO₂ was easier to transform into sulfate in urban areas because of Mn-catalytic heterogeneous reactions. In contrast, NO₂ was easily converted in suburbs with high aerosol water content. Furthermore, organic carbon in urban was much greater than that in rural, other than elemental carbon. Element Cr and As were the key cancer risk drivers. The main sources of PM_2.5 in urban and suburban areas were all secondary aerosols (42.9%, 32.1%), combustion (16.0%, 25.2%) and vehicle emission (15.2%, 19.2%). From clean period to pollution period, the contributions from combustion and secondary aerosols increased markedly. In addition to tightening vehicle controls, urban areas need to restrict emissions from steel smelters, and suburbs need to minimize coal and biomass combustion in autumn and winter.     

Comparison of Black Carbon,Total Organic Carbon,and PAH Concentrations in Surface Sediments from Two Main Rivers in Henan Province,China

Black carbon (BC) in surface sediments from Henan section of Yellow River and Huaihe River, China, was determined. Average content of BC in Huaihe River was 0.33%, higher than that in Yellow River (n?=?23) with mean value of 0.15%. Distribution patterns of BC in Yellow River and Huaihe River were similar, namely that tributaries had higher BC content than main stream. In addition, BC content in the mainstream of Yellow River and Huaihe River decreased with altitude. The BC content presented a significant positive correlation with clay (r?=?0.672; p?<?0.01) content in Yellow River, while neither did in Huaihe River. The ratio of BC/TOC ranged from 1.8–57.4% (median 29.6%), evidencing pyrogenic fossil fuel source of BC in Yellow River. Relatively low values of BC/TOC in Huaihe River (5.3%–28.8%, median 7.5%,) reflected that the origin of BC is from burning of biomass. In addition, Pearson rank correlation analysis showed that BC was in strong correlation with lighter PAH in Yellow River, while BC was in significant correlation with heavier PAH in Huaihe River. The ratio of BC/TOC indicated that BC in Yellow River mainly came from fossil fuel combustion, while BC in Huaihe River was primarily from biomass burning.     

工业循环经济发展区域分异研究--以江苏省为例

依据工业循环经济发展的基本原则,构建了包括产业及社会发展、资源减量、循环利用、污染减排、资源与环境安全五类指标在内的区域工业循环经济发展评价指标体系.运用AHP(层次分析法)方法,测算了指标权重,并以江苏省13个地级市为例进行了研究.用2003年的数据,对13个地级市的工业循环经济发展状况进行了评价.研究结果表明,江苏省13个地级市的工业循环经济发展水平可以分为四个层次,第一层次(水平良好)的城市为无锡、苏州、常州;第二层次(水平中上)的城市为盐城、南通、泰州;第三层次(水平中等)的城市为扬州、镇江、徐州、南京、连云港;第四层次(水平较差)的城市为淮安、宿迁.从总体上看,南部好于北部,东部好于西部,沿江沿海地区要好于内陆地区,靠近工业产业带的地区好于远离工业产业带的地区.     

厚层包气带土壤水氢氧同位素特征及其补给来源判别

采用环境同位素示踪技术研究了临潼斜口镇土壤水来源与运移机理。在研究区内选取四个土壤剖面分层采集不同土地利用类型的土壤水,测定其稳定同位素δD、δ¹⁸O的值,分析了包气带土壤水稳定同位素沿剖面的变化规律。结果表明：厚层包气带中土壤水在入渗的同时经历了明显的混合作用,在垂向上从上至下可以划分为三个层段;剖面内δD的补给水值处于-75‰~-60‰范围内,介于大气降水和地下水之间,反映了厚层包气带下部土壤水主要来源于地下水的补给,上部主要来源于大气降水与灌溉水的混合补给。     

典型异味源的感官特性及特征污染物筛选

为研究不同异味源的感官特性以及不同行业特征污染物的排放差异,以卷烟厂、烘培坊、烤漆厂为研究对象,采用愉悦度9级度量法,测定源样品不同稀释倍数（5~6个浓度梯度）下的愉悦度等级,绘制3种典型异味源愉悦度-臭气浓度指数特征曲线,并进行回归分析,同时筛选出3个典型异味源的特征污染物（烤漆厂的特征污染物为乙酸乙酯、对二乙苯、乙苯、间二甲苯、乙酸丁酯,卷烟厂为乙醇、萘、2-丁酮、柠檬烯、丙烷,烘培坊为乙醇、柠檬烯、α-蒎烯、甲苯、丙酮）,并建立了异味评价干扰潜力的数学模型.结果表明:3种典型异味源的愉悦度与臭气浓度指数之间的关系均符合二次多项式模型,卷烟厂和烤漆厂异味源的愉悦度均为负值,并且厌恶程度随臭气浓度的增大而增强;而烘焙坊异味源的愉悦度为正值.当愉悦度等级为-2时,卷烟厂和烤漆厂对应的臭气浓度分别为30和26.干扰潜力的强弱是由臭气浓度和愉悦度2个因素直接决定的,烤漆厂的干扰潜力为-14.48,卷烟厂为-14.17,烘培坊为11.77.研究显示,愉悦度与臭气浓度指数间量化关系模型以及异味源干扰潜力评估模型的建立,可为异味源的分类分级以及异味源环境影响标准的制订提供科学依据.      

Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China

Volatile organic compounds (VOCs) are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes (41.8%), followed by aromatics (20.1%), alkenes (17.9%), and halo-hydrocarbons (12.5%). The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization (PMF) coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources: solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions (23%), refinery and petrochemical industrial emissions (21%), fuel evaporations (13%) and vehicular emissions (13%). The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentration, followed by aromatics and alkanes. Based on a maximum incremental reactivity (MIR) method, the average hourly ozone formation potential (OFP) of VOCs is 220.49?ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area.