A novel approach for VOC source apportionment combining characteristic factor and pattern recognition technology in a Chinese industrial area

Volatile organic compound (VOC) emission control and source apportionment in small-scale industrial areas have become key topics of air pollution control in China. This study proposed a novel characteristic factor and pattern recognition (CF-PR) model for VOC source apportionment based on the similarity of characteristic factors between sources and receptors. A simulation was carried out in a typical industrial area with the CF-PR model involving simulated receptor samples. Refined and accurate source profiles were constructed through in situ sampling and analysis, covering rubber, chemicals, coating, electronics, plastics, printing, incubation and medical treatment industries. Characteristic factors of n-undecane, styrene, o-xylene and propane were identified. The source apportionment simulation results indicated that the predicted contribution rate was basically consistent with the real contribution rate. Compared to traditional receptor models, this method achieves notable advantages in terms of refinement and timeliness at similar accuracy, which is more suitable for VOC source identification and apportionment in small-scale industrial areas.     

Potassium ferrate pretreatment promotes short chain fatty acids yield and antibiotics reduction in acidogenic fermentation of sewage sludge

During the acidogenic fermentation converting waste activated sludge (WAS) into short-chain fatty acids (SCFA), hydrolysis of complex organic polymers is a limiting step and the transformation of harmful substances (such as antibiotics) during acidogenic fermentation is unknown. In this study, potassium ferrate (K₂FeO₄) oxidation was used as a pretreatment strategy for WAS acidogenic fermentation to increase the hydrolysis of sludge and destruct the harmful antibiotics. Pretreatment with K₂FeO₄ can effectively increase the SCFA production during acidogenic fermentation and change the distribution of SCFA components. With the dosage of 0.2 g/g TS, the maximum SCFA yield was 4823 mg COD/L, which is 28.3 times that of the control group; acetic acid accounts for more than 90% of the total SCFA. The higher dosage (0.5 g/g TS) can further increase the proportion of acetic acid, but inhibit the overall performance of SCFA production. Apart from the promotion of hydrolysis and acidogenesis, K₂FeO₄ pretreatment can also simultaneously oxidizes and degrades part of the antibiotics in the sludge. When the dosage is 0.5 g/g TS, the degradation efficacy of antibiotics is the most significant, and the contents of ofloxacin, azithromycin, and tetracycline in the sludge are reduced by 69%, 42%, and 50%, respectively. In addition, K₂FeO₄ pretreatment can also promote the release of antibiotics from sludge flocs, which is conducive to the simultaneous degradation of antibiotics in the subsequent biological treatment process.     

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.     

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.      

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。