A statistic comparison of multi-element analysis of low atmospheric fine particles (PM2.5) using different spectroscopy techniques

Over the past few decades, the metal elements (MEs) in atmospheric particles have aroused great attention. Some well-established techniques have been used to measure particle-bound MEs. However, each method has its own advantages and disadvantages in terms of complexity, accuracy, and specific elements of interest. In this study, the performances of inductively coupled plasma–optical emission spectrometry (ICP-OES) and total reflection X-ray fluorescence spectroscopy (TXRF) were evaluated for quality control to analyze data accuracy and precision. The statistic methods (Deming regression and significance testing) were applied for intercomparison between ICP-OES and TXRF measurements for same low-loading PM_2.5 samples in Weizhou Island. The results from the replicate analysis of standard filters (SRM 2783) and field filters samples indicated that 10 MEs (K, Ca, V, Cr, Mn, Fe, Ni, Cu, Zn, and Pb) showed good accuracies and precision for both techniques. The higher accuracy tended to the higher precision in the MEs analysis process. In addition, the interlab comparisons illustrated that V and Mn all had good agreements between ICP-OES and TXRF. The measurements of K, Cu and Zn were more reliable by TXRF analysis for low-loading PM_2.5. ICP-OES was more accurate for the determinations for Ca, Cr, Ni and Pb, owing to the overlapping spectral lines and low sensitivity during TXRF analysis. The measurements of Fe, influenced by low-loading PM_2.5, were not able to determine which instrument could obtain more reliable results. These conclusions could provide reference information to choose suitable instrument for the determination of MEs in low-loading PM_2.5 samples.     

Evidence on the causes of the rising levels of CODMn along the middle route of the South-to-North Diversion Project in China: The role of algal dissolved organic matter

As the biggest inter-basin water transfer scheme in the world,the South-to-North Water Diversion Project（SNWD） was designed to alleviate the water crisis in North China.The main channel of the middle route of the SNWD is of great concern in terms of the drinking water quality.In this study,we tested the hypothesis that the dissolved organic matter（DOM） derived from the planktonic algae causes the rising levels of COD_Mn along the middle route by monitoring data on water quality（2015-20...     

Ozone episodes during and after the 2018 Chinese National Day holidays in Guangzhou: Implications for the control of precursor VOCs

The impact of reducing industrial emissions of volatile organic compounds (VOCs) on ozone (O₃) pollution is of wide concern particularly in highly industrialized megacities. In this study, O₃, nitrogen oxides (NOx) and VOCs were measured at an urban site in the Pearl River Delta region during the 2018 Chinese National Day Holidays and two after-holiday periods (one with ozone pollution and another without). O₃ pollution occurred throughout the 7-day holidays even industrial emissions of VOCs were passively reduced due to temporary factory shutdowns, and the toluene to benzene ratios dropped from ∼10 during non-holidays to ∼5 during the holidays. Box model (AtChem2-MCM) simulations with the input of observation data revealed that O₃ formation was all VOC-limited, and alkenes had the highest relative incremental reactivity (RIR) during the holiday and non-holiday O₃ episodes while aromatics had the highest RIR during the non-pollution period. Box model also demonstrated that even aromatics decreased proportionally to levels with near-zero contributions of industrial aromatic solvents, O₃ concentrations would only decrease by less than 20% during the holiday and non-holiday O₃ episodes and ozone pollution in the periods could not be eliminated. The results imply that controlling emissions of industrial aromatic solvents might be not enough to eliminate O₃ pollution in the region, and more attention should be paid to anthropogenic reactive alkenes. Isoprene and formaldehyde were among the top 3 species by RIRs in all the three pollution and non-pollution periods, suggesting substantial contribution to O₃ formation from biogenic VOCs.     

米曲霉发酵厨余垃圾制备富酶产物的研究

为了探讨利用微生物发酵厨余垃圾产酶的最佳条件,实现厨余垃圾高值资源化,选取米曲霉为试验菌种,基于米曲霉BNCC142787 (简称“米曲霉B”)、米曲霉CGMCC3.4427 (简称“米曲霉C”)的生长特性解析,研究不同培养方式(静置、振荡)和培养温度(30、35、40 ℃)对米曲霉好氧发酵厨余垃圾产酶性能的影响. 结果表明:米曲霉B和米曲霉C分别在30 ℃和40 ℃、pH为6的培养条件下生长最佳;与静置培养相比,振荡培养可显著提高米曲霉菌丝体的形成和生长速率,促进淀粉酶和蛋白酶分泌. 米曲霉B在40 ℃下厨余垃圾好氧发酵48 h时蛋白酶活性最高,为66.64 U/g;在30 ℃下好氧发酵48 h时,其淀粉酶活性最佳,为129.44 U/g. 米曲霉C在40 ℃下、厨余垃圾好氧发酵96 h时蛋白质酶和淀粉酶活性均达到最高,分别为64.02和131.11 U/g. 研究显示,米曲霉B和米曲霉C产生蛋白酶与淀粉酶的能力相当,但米曲霉B生长速率快,所需发酵时间短,可在温和的条件下实现产酶,因此采用米曲霉B在40 ℃、好氧发酵48 h条件下进行酶源制备,可充分利用厨余垃圾中的营养物质获得富含淀粉酶和蛋白酶的产物,具有显著的应用潜力.      

基于遥感数据估算近地面PM2.5浓度的研究进展

卫星反演的气溶胶光学厚度(AOD)具有广泛的空间覆盖度和相对较高的时空分辨率. 基于AOD与PM_2.5的相关关系来估算PM_2.5浓度已成为监测近地面PM_2.5的有效途径,其估算结果较可靠,能够为治理PM_2.5污染提供数据基础和科学依据. 从反演AOD数据集和PM_2.5浓度估算模型2个方面进行梳理归纳,从卫星轨道运行类型角度分析各类传感器的产品特征,并对缺失AOD的插补方法进行分类评价;对PM_2.5浓度的估算模型进行比较分析,指出不同模型的优缺点和适应性. 结果表明:①各类卫星传感器均具有特定功能及优缺点,其中地球同步轨道(GEO)卫星的快速发展,使其在估算PM_2.5浓度的应用上越来越广泛. ②插补后的AOD比AOD初始产品具有更连续的时空分布和更高的准确性,基于模型的多变量估算不仅可以实现数据的全面覆盖,还可以获得更好的估算精度. ③组合模型成为估算PM_2.5浓度的重要方法,机器学习模型的加入能够有效提高PM_2.5浓度的估算精度. 研究显示,利用AOD估算近地面PM_2.5浓度不仅弥补了地面PM_2.5监测的空间不连续性,更有助于解析PM_2.5浓度的时空分布特征及污染来源.      

两级A/O工艺处理焦化废水有机污染物转化特征及细菌群落响应

为探究两级缺氧/好氧(anoxic/oxic, A/O)工艺处理焦化废水有机污染物转化和细菌群落结构之间的关系,以实际运行的焦化废水处理厂为研究对象,采用傅里叶变换红外光谱和三维荧光光谱对废水中有机污染物官能团与溶解性有机物(dissolved organic matter, DOM)进行分析,并采用高通量测序技术,分析两级A/O工艺中细菌群落结构及其功能的沿程变化. 结果表明:①两级A/O工艺对化学需氧量(COD)、氨氮(NH₄+-N)、硫氰酸盐(SCN?)、苯并[a]芘(BaP)、苯酚、挥发酚的去除率均在90%以上. ②各有机污染物的去除与醇类、脂类、醚类、多糖类及羧酸类等物质的C≡N、C—N、C=C、—CO—伸缩振动,以及—NH₂和N—H弯曲振动等官能团运动有关,原水中大部分DOM被去除. ③微生物分析表明,硫杆菌(Thiobacillus)为两级A/O工艺的优势菌属(相对丰度为18.85%~31.06%),Fluviicola和norank_f_JG30-KF-CM45的相对丰度与BaP浓度均呈负相关,Arenimonas的相对丰度与挥发酚、苯酚浓度均呈正相关,Bradyrhizobium、Nakamurella、Nitrospira、norank_f_NS9_marine_group、unclassified_f_Rhizobiaceae的相对丰度与挥发酚、苯酚浓度均呈负相关. ④两级A/O工艺中有机污染物的去除与氟苯甲酸酯降解、多环芳烃降解、苯甲酸酯降解等多种代谢途径有关. 研究显示,经两级A/O工艺处理后,焦化废水中的主要污染物均显著去除,并且有机污染物变化均会影响功能微生物相对丰度的改变.      

2001—2020年天津市大气污染特征的演变与防治历程

近20年来,随着经济社会的快速发展与污染防治工作的不断深入,我国大气污染特征发生显著变化,特别是京津冀及周边城市空气质量显著改善,大气污染特征与来源构成出现结构性变化,十分有必要对这20年来大气污染的演变历程加以梳理总结. 本文选取北方特大工业城市——天津市为研究对象,基于20年来连续监测数据与相关统计学方法,结合天津市历年大气颗粒物源解析结果,总结了该地区大气污染特征的演变过程. 结果表明:天津市环境空气质量在过去20年出现明显好转,大气污染类型由燃煤扬尘为主的一次混合型逐渐演变为O₃与PM_2.5为代表的二次复合型. 历年源解析结果表明,天津市2020年秋冬季二次硫酸盐贡献率比2011年同期减少了74.1%,燃煤贡献率则下降了31.6%;扬尘和机动车尾气尘贡献率分别从2011年的17.7%和19.9%降至2020年的15.8%和18.2%;而2020年二次硝酸盐贡献率比2011年增长了63.3%. 过去20年天津市重大污染防治措施的有效性分析表明,能源结构调整和“双散”替代使煤炭消耗量减少,PM_2.5浓度下降与煤炭消耗量减少呈显著相关〔偏相关系数(R)=0.879,P<0.05〕;粗颗粒(PM_2.5~10)浓度下降与绿化覆盖率增加呈显著相关〔偏相关系数(R)=?0.859,P<0.05〕;大规模取缔中小燃煤锅炉及脱硫除尘等重大举措的实施,使得SO₂浓度显著下降〔秩相关系数(r_s)=?0.958 6,P<0.05〕. 研究显示,近20年来大气污染防治减排措施的实施使得天津市环境空气质量明显改善,未来要紧密结合国家“双碳”战略,进一步优化产业与能源结构,实现空气质量的持续改善.      

2022 年 1 期目录

为摸清全球气候变化背景下,我国海岸带蓝碳应对气候变化的发展状况,发掘我国海岸带蓝碳减缓与适应气候变化的潜力,分析了我国海岸带蓝碳生态系统的基本状况及保护恢复情况,阐述了海岸带蓝碳对气候变化的影响及响应机制,论述了我国海岸带蓝碳发展面临的形势及管理需求。最后,提出了我国海岸带蓝碳应对气候变化的发展建议,即推进海岸带蓝碳管理政策的制定和实施,实现我国海岸带蓝碳的系统性监测,积极开展受损蓝碳生态系统修复案例的研究,加强海岸带蓝碳保护与修复的公众参与度,增强国际合作。     

辽宁营口滨海湿地春季迁徙期水鸟现状评价

2016－2020年连续对营口滨海湿地春季迁徙期水鸟种类和数量进行了调查监测。5年的长期调查监测共记录到水鸟4目8科39种,其中鸻鹬类、鸥类及雁鸭类（共占记录物种总数的92.31%）是构成营口滨海湿地春季迁徙期水鸟的主要类群。年际间水鸟种类和数量总体呈增加趋势,翘鼻麻鸭（Tadorna tadorna）、斑尾塍鹬（Limosa lapponica）、黑尾塍鹬（Limosa limosa）、大杓鹬（Numenius madagascariensis）、环颈鸻（Charadrius alexandrinus）、黑腹滨鹬（Calidris alpina）6种优势种处于动态变化之中。记录到的39种水鸟都被列入国内外有关保护条例,且分布达到全球种群评估数量1%的濒危大杓鹬、易危黑嘴鸥（Saundersilarus saundersi）、翘鼻麻鸭、环颈鸻、黑尾塍鹬、斑尾塍鹬、黑腹滨鹬7种水鸟,表明营口滨海湿地及水鸟具有国际重要保护价值。为更好地保护营口滨海湿地水鸟及其栖息地,建议尽早在目前未受保护的营口滨海湿地新建国家公园、自然保护区或自然公园,或纳入生态保护红线;并将营口滨海湿地申报列入《国际重要湿地名录》。     

基于简化基因组测序的三门湾海域无脊椎动物的遗传多样性分析

本研究通过简化基因组测序（2b-RAD）技术,对浙江省三门湾海域定居性优势无脊椎动物（哈氏仿对虾、口虾蛄、脊尾白虾、三疣梭子蟹、曼氏无针乌贼、棒锥螺和牡蛎）进行遗传结构和遗传多样性分析,以评估三门湾海域水生无脊椎动物资源现状,并为渔业可持续发展提供物种遗传资源监测依据。7个物种共获得12336～108139个SNP位点,变异位点比例为0.168%～1.571%。遗传分析结果显示,7个物种的平均核苷酸多样性（Pi）为0.147～0.306,平均观测杂合度（Ho）为0.142～0.289,多态信息含量（Polymorphism Information Content,PIC）为0.124～0.234,个体间平均遗传距离为0.118～0.246。本研究表明,三门湾水域7种代表性无脊椎动物中,生物群体变异位点比例较低,遗传多样性水平较低,且相同种群个体间的遗传分化较小, 结合本次对三门湾海域渔业资源调查分析,这可能与人工增殖放流等因素有关。