2019年元旦前后石家庄市重污染过程PM2.5污染特征及来源解析

2018年12月30日至2019年1月15日石家庄市发生了连续的灰霾天气,出现12个重污染天,首要污染物均为PM_2.5.本文从污染演变、时空分布、组分分析、污染来源和气象因素等多方面展开分析探讨污染成因.结果表明,PM_2.5主要成分为二次无机离子（65.4%）,主要来源为燃煤（24.4%）和工业工艺源（23.7%）.随污染加剧SO₄^2-占比和二次无机源贡献均大幅增加.先后受来自偏南-东南和偏西-西南方向低空气团及特殊地形、静稳高湿、近地逆温等不利气象条件影响,燃煤、工业和机动车尾气等一次源产生的污染物在太行山前快速积累,气态污染物二次转化和颗粒物吸湿增长推高PM_2.5,硫酸盐暴发式增长加剧污染发生.建议重污染应急响应期间在确保各项减排措施落实到位情况下,加强二次无机组分前体物SO₂、NO_x及NH₃排放源的管控,并重点关注SO₂排放源（散煤等）,同时加强市区东北方向新乐、无极、深泽、晋州和行唐区县大气排放源管理,减少局地传输影响.     

我国典型秸秆露天燃烧黑碳的高时间分辨率排放特征及其排放清单

农作物秸秆燃烧是大气中黑碳(black carbon,BC)气溶胶的主要来源之一。目前农作物秸秆燃烧排放黑碳的研究主要集中在通过离线样品分析获得的BC排放特征,缺少实时在线排放特征的研究。本研究收集了我国具有代表性的4种农作物秸秆(小麦秸秆、水稻秸秆、玉米秸秆和大豆秸秆),通过在实验室燃烧平台模拟农作物秸秆露天燃烧的过程,利用黑碳仪获得农作物秸秆燃烧过程中BC的实时浓度排放变化;利用质量重建,获得BC在线排放因子。结果表明:农作物秸秆在明燃过程中BC的排放因子较为稳定。通过平均排放因子的计算,获得小麦秸秆、水稻秸秆、玉米秸秆和大豆秸秆的BC排放因子分别为(0.32±0.05) g?kg~(-1)、(0.31±0.13) g?kg~(-1)、(0.31±0.09) g?kg~(-1)和(0.44±0.01) g?kg~(-1)。在排放因子的基础上,结合我国农作物秸秆露天燃烧量,最终建立了2015年我国省级(不含港澳台地区)典型农作物秸秆燃烧的BC排放清单。     

Degradation of duloxetine: Identification of transformation products by UHPLC-ESI(+)-HRMS/MS, in silico toxicity and wastewater analysis

Duloxetine (DUL), an antidepressant drug, has been detected in surface water and wastewater effluents, however, there is little information on the formation of its transformation products (TPs). In this work, hydrolysis, photodegradation (UV irradiation) and chlorination experiments were performed on spiked distillated water, under controlled experimental conditions to simulate abiotic processes that can occur in the environment and wastewater treatment plants (WWTPs). Eleven TPs, nine from reaction with UV light and two from chlorine contact, were formed and detected by ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry, and nine of them had their chemical structures elucidated upon analyses of their fragmentation patterns in MS/MS spectra. The formation and degradation of the TPs were observed. The parent compound was completely degraded after 30?min in photodegradation and after 24?hr in chlorination. Almost all TPs were completely degraded in the experiments. The ecotoxicity and mutagenicity of the TPs were predicted based on several in silico models and it was found that a few of these products presented more ecotoxicity than DUL itself and six TPs showed positive mutagenicity. Finally, wastewater samples were analyzed and DUL and one TP, possibly formed by chlorination process, were detected in the effluent, which showed that WWTP not only did not remove DUL, but also formed a TP.     

镇江市秋季典型天气污染过程的PM2.5在线源解析

大气细颗粒物(PM2.5)是灰霾天气形成的主要原因,通过利用在线源解析的仪器对镇江市秋季典型天气下每类污染源实时的贡献比例的变化趋势解析,初步摸清镇江市典型天气下污染过程中颗粒物的来源.结果显示,监测期间发生的五次污染成因有所不同,但大多与机动车尾气源相关.入秋后,大气边界层高度降低,在静稳天气下,近地面排放的尾气源颗粒物极易累积集聚,造成或加剧污染的发生.此外,随着秋收季节的到来,秸秆焚烧现象有所抬头,生物质燃烧源对大气造成的影响需引起重视.     

Assessing the Impact of Areal Precipitation Input on Streamflow Simulations Using the SWAT Model1

Masih Ilyas, Shreedhar Maskey, Stefan Uhlenbrook, and Vladimir Smakhtin, 2011. Assessing the Impact of Areal Precipitation Input on Streamflow Simulations Using the SWAT Model. Journal of the American Water Resources Association (JAWRA) 47(1):179‐195. DOI: 10.1111/j.1752‐1688.2010.00502.x Abstract: Reduction of input uncertainty is a challenge in hydrological modeling. The widely used model Soil Water Assessment Tool (SWAT) uses the data of a precipitation gauge nearest to the centroid of each subcatchment as an input for that subcatchment. This may not represent overall catchment precipitation conditions well. This paper suggests an alternative – using areal precipitation obtained through interpolation. The effectiveness of this alternative is evaluated by comparing its simulations with those based on the standard SWAT precipitation input procedure. The model is applied to mountainous semiarid catchments in the Karkheh River basin, Iran. The model performance is evaluated at daily, monthly, and annual scales by using a number of performance indicators at 15 streamflow gauging stations each draining an area in the range of 590‐42,620 km². The comparison suggests that the use of areal precipitation improves model performance particularly in small subcatchments in the range of 600‐1,600 km². The modified areal precipitation input results in increased reliability of simulated streamflows in the areas of low rain gauge density. Both precipitation input methods result in reasonably good simulations for larger catchments (over 5,000 km²). The use of areal precipitation input improves the accuracy of simulated streamflows with spatial resolution and density of rain gauges having significant impact on results.     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.     

大气污染物多时间分辨率的小波分析

利用Modet小波函数进行小波变换,利用Daubechies小波函数进行分解及滤波,以乌鲁木齐市的大气污染物时间序列为例,分析了当地单个大气监测站点NO2的多分辨率的演变特性,并对NO2的时间序列进行了滤波消噪.研究结果显示,NO2年际变化和季节性变化的时间尺度在尺度空间中分布不均匀,具有较明显的局部化特征;除了季节性变化的时间尺度和变化趋势之外,还存在大气污染物中、长期变化趋势.基于滤波消噪后的时间序列建立的预测模型可用于有效地提高大气污染物的预测预报精度.     

扰动法在风网解算中的应用研究*

为简化矿井通风复杂风网的解算,提出将扰动法引入到风网解算中,并介绍扰动法的原理、风网解算的基本定律;给出常见的固定风压、固定风量和给定风机性能函数3种风机工况下的扰动方程矩阵表达式及详细的计算过程;对所提风网解算方法进行实例验证。结果表明:扰动法作为固定运算次数的近似方法,在工程实际允许的误差范围内,相比于以牛顿法为代表的迭代法耗时少、不依赖初值,是1种简单实用的风网解算方法。     

高分辨质谱在环境科学领域应用综述

探究复杂环境介质中有机污染物分析检测新方法,建立复杂环境介质中可疑和非目标化合物的快速筛选及确证方案,已成为环境科学领域的研究热点。高分辨质谱仪（HR-MS）具有质量范围宽、扫描速度快、灵敏度高等优点,使其在环境科学领域得到广泛应用。综述了混合高分辨率质谱（Q-TOF/Q Orbitrap）等HR MS技术的特点和工作原理,基于目标化合物分析、可疑化合物分析以及非目标化合物分析这3类研究策略,阐述了HR-MS在环境研究、药品监管及生物代谢物研究等领域的应用现状,进而分析了现阶段HR MS在环境科学领域中的应用局限性和发展前景。     

基于随机森林模型的辽河高时间分辨率氮、磷浓度模拟与预测

随着环境信息获取技术的飞速发展,水质监测数据逐渐呈现出高时间分辨率的特点.针对传统方法在模拟高频检测数据时的不足,本文基于随机森林建立了河流氮、磷逐日浓度预测模型,识别了影响辽河干流马虎山断面氮、磷浓度变化的主要因素,并预测了未来不同情景下氮、磷浓度变化特征.结果表明：①马虎山断面氮、磷浓度变化的主要影响因素是上游珠尔山断面的来水水质和本断面的流量;②随机森林模型在高时间分辨率的水质指标模拟中具有误差低和拟合优度高的特点,其中,TN浓度预测模型的RMSE为0.40 mg·L^-1,R²为0.95,TP浓度预测模型的RMSE为0.01 mg·L^-1,R²为0.96;③在不同水文、污染控制和来水水质的变化情景下,未来马虎山断面氮、磷浓度变化主要取决于上游 来水水质,加强全流域营养盐控制是确保断面水质稳定达标的重要基础.