Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring

Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km~2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone.     

中国东海至南大洋航线海洋近地层大气NOx分布特征

为了探究我国东海至南大洋航线海洋近地层大气NO_x的分布特征,于2015年11月-2016年1月,利用中国极地科学考察船"雪龙号"的观测平台,采用Saltzman法对中国东海至南大洋航线海洋近地层大气NO_x日均浓度进行了监测.结果表明,中国东海至南大洋航线海洋近地层大气ρ（NO_x）的变化范围为0.001~0.038 mg/m3,ρ（NO）的变化范围为0.001~0.033 mg/m3,ρ（NO₂）的变化范围为0（未检出）~0.015 mg/m3.中国东海至南大洋航线海洋近地层大气中,NO是NO_x的主要成分.南极圈外海洋近地层大气中NO_x的分布特征显示距离陆地越近,ρ（NO_x）越高,NO₂/NO（二者质量浓度比值）越大,反映出海陆差异及人为污染对海洋近地层大气的影响.远离陆地的南大洋航段ρ（NO_x）显示较低的大洋背景值.南桑威奇群岛的火山活动导致附近海域异常高浓度的NO_x分布,ρ（NO_x）最高值达0.160 mg/m3,ρ（NO）为0.145 mg/m3,ρ（NO₂）为0.015 mg/m3.西风带的阻隔导致该区域NO_x向周围扩散时,难以穿越西风带,向南极大陆边缘扩散的趋势更加强烈,影响大范围南大洋近地层大气NO_x分布.人为活动可能是南极半岛和中山站附近海洋近地层大气高ρ（NO_x）和高NO₂/NO的原因之一.      

三峡库区EFDC模型集成与应用

为满足三峡库区大尺度的水质预测需求,降低专业水质模型使用门槛,实现模型业务化运行,采用涵盖"模型封装-接口服务-系统集成"全过程的模型封装集成技术方法,开展了EFDC模型集成研究,并在三峡库区水质安全评估与预警系统中进行验证和应用.结果表明:①基于实例化模型建立的模型预置参数库,是模型业务化运行中参数简化的前提,可有效解决模型本地驯化及模型实例的基础数据复用问题;②依据参数识别结果,将模型参数识别为"必调参数、可调参数、默认参数"三类,并采用B/S架构对输入文件、输出文件和主控文件中的不同参数进行分类封装,达到参数简化目的;③采用半紧密型方式建立的基于Web services的EFDC模型集成接口服务及标准,可为信息系统提供通用的EFDC模型计算服务;④该方法在EFDC模型与三峡库区水质安全评估与预警系统集成中得到验证,实现了全库区干流及主要支流COD_Cr、总磷、总氮等污染因子的长时间序列水动力水质预测联机在线运算,满足了用户在水质影响预测预警中低修改量、高运算效率和良好用户体验等需求,实现了模型的业务化运行.      

川西高海拔河流中溶解性有机质(DOM)紫外-可见光吸收光谱特征

溶解性有机质(DOM)对全球碳循环及气候变化具有重要意义.本文选取川西北4条高海拔河流,即杂谷脑河、抚边河及岷江(高山峡谷河流)与白河(高原河流),对其天然水体中有色溶解性有机质(CDOM)的紫外-可见光吸收光谱特征进行了研究与比较.结果表明,川西高海拔河流DOC变化范围为1.55~5.66 mg·L~(-1),CDOM(以a(355)表征)变化范围为0.96~6.31 m-1,荧光溶解性有机质(FDOM)(以lg Fn(355)表征)变化保持在2.08~2.83之间.与高山峡谷区河流比较,高原河流芳香性、疏水性特征常数SUVA254、SUVA260较高,吸光度之比E2/E3、光谱斜率S275~295及光谱斜率之比SR较低,揭示了高原河流CDOM芳香性较强、疏水性组分丰富、分子结构较为复杂;SUVA254、SUVA260分别与SR、S275~295呈显著负相关,表明白河由于高通量陆源腐殖质输入影响了CDOM特征.川西高原4条高海拔河流中SUVA254、SUVA260存在显著相关关系,表明芳香性结构普遍存在于河流CDOM疏水组分中.川西高原天然河流水体中CDOM与DOM的浓度之间总体上无直接关联,因为不同天然水体在DOM形成过程中,陆源DOC输入组分和强度及转化机制存在差异.研究结果对于揭示高海拔区域在全球变化背景下有机碳循环的区域效应等方面具有重要意义.     

Fe(Ⅲ)掺杂Mg/Al-LDO作为氮磷吸附剂的研究

针对污水厂尾水脱氮除磷问题,采用共沉淀法制备了镁铝铁类水滑石（Mg/Al/Fe–LDHs）,在450℃下焙烧3h得到焙烧态类水滑石（Mg/Al/Fe–LDO）.研究了Fe（Ⅲ）掺杂对Mg/Al-LDO吸附氮磷的影响及吸附特性.结果表明,当Mg/Al/Fe物质的量比为3：0.6：0.4时,Mg/Al/Fe-LDO对氮磷吸附性能较好,最大吸附容量分别为28.57mg/g和231.46mg/g.吸附过程均符合Langmuir吸附等温模型,拟合相关系数（R²）达到0.99以上.根据XRD、FTIR的表征结果可以推断,Mg/Al/Fe–LDO是通过“记忆效应”、静电引力作用完成对氮磷的吸附,对磷的吸附还包括离子交换作用.     

南通沿海潮间带土-气界面CO2交换特征

选择南通协兴港附近裸露潮滩,使用便携式土壤通量测量系统开展潮间带湿地CO₂通量监测,研究无植被覆盖条件下潮间带碳通量特征及其影响因素的关系.实验结果表明,各潮滩CO₂固定水平表现为高潮带 < 中潮带 < 低潮带.低潮带叶绿素a含量较高,对CO₂的吸收能力较强,而高潮带有机碳含量高,微生物呼吸作用释放的CO₂通量较高,研究区整体上表现为对CO₂净吸收.此外,CO₂净固定通量随土壤有机碳含量和落潮时间增加而下降,与土壤叶绿素a含量和地下水位关系密切.研究成果对于明确人类活动对江苏沿海潮间带裸露光滩碳循环的影响具有重要意义.     

全球增温1.5℃和2.0℃对淮河中上游径流影响预估

论文应用第5次耦合模式比较计划(Coupled Model Intercomparison Project Phase 5,CMIP5)中5个全球气候模式(Global Climate Models,GCMs)和3种典型浓度路径(Representative Concentration Pathways,RCPs)在全球增温1.5℃和2.0℃下的预估结果,分析了淮河中上游地区未来的气候变化特征。进一步基于SWAT(Soil and Water Assessment Tool)水文模型定量预估了气候变化对该区域径流量的影响,并量化了预估结果的不确定性。结果表明:SWAT模型在淮河中上游对月径流量具有较好的模拟能力。在全球增温1.5℃和2.0℃下,淮河中上游年平均气温分别较基准期(1986—2005年)增加1.1℃和1.7℃;年降水量较基准期分别相应增加4%和7%;基于SWAT模型预估的年径流量较基准期分别增加5%和8%。未来气候变化不会改变月径流分布特征,年内径流仍集中在盛夏和初秋(6—9月)。预估的月丰水流量明显增加,尤其当全球增温达到2.0℃后,出现洪涝的风险明显增大。未来降水量和径流量预估都存在较大的不确定性,不确定性主要来源于GCMs,在全球增温2.0℃下预估的不确定性更大。     

水汽源区变化对黄河中游降水稳定同位素的影响

利用黄河中游地区9个站点的降水同位素数据,分析其时空分布特征及环境效应,并模拟代表站点的气团运移轨迹,利用OLR技术研究水汽源区变化及输送过程对夏半年降水稳定同位素的影响。结果表明：δ¹⁸O有着较为明显的季节性变化规律,春夏较低,秋冬较高;空间分布则呈由东南向西北升高的趋势。大气降水线方程表现出明显的过渡性区位特征,降水量效应较为显著。水汽主要通过西北与东南两个水汽通道输送,东向水汽与青藏高原的热力、动力性质对流域的水源差异产生了较大影响。水汽源区变化与对流层中上部水汽含量场都与稳定同位素特征有着较强的对应关系,8、9月形成于西太平洋的热带辐合带（ITCZ）使东南季风成为夏季黄河中游地区主要的水汽输送通道。     

表土厚度对浅埋工作面采空区自燃的影响规律

鄂尔多斯地区的煤层埋藏浅,表土层厚度对地表漏风影响明显,继而导致采空区的自燃危险区域发生变化。为此以某煤矿4201工作面为研究对象,先通过二维离散单元程序UDEC模拟确定地表与采空区连通时的表土层厚度范围,再根据该模拟结果建立不同表土层厚度条件下的采空区漏风模型,用Fluent数值模拟软件对采空区自燃危险区域进行模拟。结果表明:当采空区上覆基岩厚度一定、表土厚度小于74 m时,煤层开采后地表裂隙会与采空区连通,从而导致地表漏风;表土层厚度越小,采空区自燃危险区域的范围和地表漏风量就越大,两者近似呈对数函数关系;地表漏风不但使采空区自燃危险区域的范围明显增大,而且使回风侧宽度大于进风侧宽度。     

Improved recovery of repeat intoxicated drivers using fingernails and blood spots to monitor alcohol and other substance abuse

Objectives: This study reports the results of a pilot program in Kenosha County that used a combination of direct biomarkers extracted from blood spots and nails to monitor repeat intoxicated drivers for their use of alcohol and drugs with a detection window spanning from 3 weeks to several months. The objectives were to test whether the direct biomarkers phosphatidylethanol (PEth), ethylglucuronide (EtG), and 5 drug metabolites would (1) help assessors obtain a more objective evaluation of repeat offenders during the assessment interview, (2) allow for timely identification of relapses and improve classification of drivers into risk categories, and (3) predict recidivism by identifying offenders most likely to obtain a subsequent operating while intoxicated (OWI) offense within 4 years of enrollment in the program.

Methods: All (N = 261) repeat offenders were tested using PEth obtained from blood spots and EtG obtained from fingernails; 159 participants were also tested for a 5 drugs of abuse nail panel. Drivers were tested immediately after the assessment interview (baseline) and at 3, 6, 9, and 12 months after baseline. Based on biomarker results and self-reports of abstinence, offenders were classified into different risk categories and required to follow specific testing timelines based on the program's decision tree.

Results: The baseline analysis shows that 60% of drivers tested positive for alcohol biomarkers (EtG, PEth, or both) at the assessment interview, with lower detection rates (0–11%) for the 5 drug metabolites. The comparison of biomarkers results to self-reports of abstinence identified 28% of all offenders as high risk and assigned them to more frequent testing and more intense monitoring. The longitudinal analysis shows that 56% (completers) of participants completed the program successfully and the remaining 44% (noncompliant) terminated prematurely. Two thirds (68%) of the completers were able to reduce or control their drinking and one third relapsed at least one time during their mandated monitoring periods. After a brief intervention by the assessors, 79% of relapsers tested negative for biomarkers in their repeat tests. The rearrest analysis showed that offenders classified in the noncompliant and relapsers groups were 7 times more likely to receive a new OWI 4 years after enrollment compared to drivers classified as abstainers or controllers. Refractory drivers were monitored the longest and reported no subsequent rearrests.

Conclusion: These findings demonstrate the benefits of more individualized interventions with repeat OWI offenders and calls for further development of multimodal approaches in traffic medicine including those that use direct alcohol biomarkers as evidence-based practices to reduce recidivism.