Aerosol transmission,an indispensable route of COVID-19 spread: case study of a department-store cluster

• Aerosol transmission is an indispensable route of COVID-19 spread. • Different outbreak sites have different epidemiologic feature. • SRAS-CoV-2 can exist for a long time in aerosol. • SRAS-CoV-2 RNA can be detected in aerosol in diverse places. • Some environmental factors can impact SARS-CoV-2 transportation in aerosol. Patients with COVID-19 have revealed a massive outbreak around the world, leading to widespread concerns in global scope. Figuring out the transmission route of COVID-19 is necessary to control further spread. We analyzed the data of 43 patients in Baodi Department Store (China) to supplement the transmission route and epidemiological characteristics of COVID-19 in a cluster outbreak. Incubation median was estimated to endure 5.95 days (2–13 days). Almost 76.3% of patients sought medical attention immediately upon illness onset. The median period of illness onset to hospitalization and confirmation were 3.96 days (0–14) and 5.58 days (1–21), respectively. Patients with different cluster case could demonstrate unique epidemiological characteristics due to the particularity of outbreak sites. SRAS-CoV-2 can be released into the surrounding air through patient’s respiratory tract activities, and can exist for a long time for long-distance transportation. SRAS-CoV-2 RNA can be detected in aerosol in different sites, including isolation ward, general ward, outdoor, toilet, hallway, and crowded public area. Environmental factors influencing were analyzed and indicated that the SARS-CoV-2 transportation in aerosol was dependent on temperature, air humidity, ventilation rate and inactivating chemicals (ozone) content. As for the infection route of case numbers 2 to 6, 10, 13, 16, 17, 18, 20 and 23, we believe that aerosol transmission played a significant role in analyzing their exposure history and environmental conditions in Baodi Department Store. Aerosol transmission could occur in some cluster cases when the environmental factors are suitable, and it is an indispensable route of COVID-19 spread.     

Remediation of 2,4-dichlorophenol-contaminated groundwater using nano-sized CaO2 in a two-dimensional scale tank

• Nano CaO₂ is evaluated as a remediation agent for 2,4-DCP contaminated groundwater. • 2,4-DCP degradation mechanism by different Fe²⁺ concentration was proposed. • 2,4-DCP was not degraded in the system for solution pH>10. • The 2,4-DCP degradation area is inconsistent with the nano CaO₂ distribution area. This study evaluates the applicability of nano-sized calcium peroxide (CaO₂) as a source of H₂O₂ to remediate 2,4-dichlorophenol (2,4-DCP) contaminated groundwater via the advanced oxidation process (AOP). First, the effect and mechanism of 2,4-DCP degradation by CaO₂ at different Fe concentrations were studied (Fenton reaction). We found that at high Fe concentrations, 2,4-DCP almost completely degrades via primarily the oxidation of •OH within 5 h. At low Fe concentrations, the degradation rate of 2,4-DCP decreased rapidly. The main mechanism was the combined action of •OH and O₂^•−. Without Fe, the 2,4-DCP degradation reached 13.6% in 213 h, primarily via the heterogeneous reaction on the surface of CaO₂. Besides, 2,4-DCP degradation was significantly affected by solution pH. When the solution pH was>10, the degradation was almost completely inhibited. Thus, we adopted a two-dimensional water tank experiment to study the remediation efficiency CaO₂ on the water sample. We noticed that the degradation took place mainly in regions of pH<10 (i.e., CaO₂ distribution area), both upstream and downstream of the tank. After 28 days of treatment, the average 2,4-DCP degradation level was ≈36.5%. Given the inadequacy of the results, we recommend that groundwater remediation using nano CaO₂: (1) a buffer solution should be added to retard the rapid increase in pH, and (2) the nano CaO₂ should be injected copiously in batches to reduce CaO₂ deposition.     

不同施肥措施对水稻土壤微生物镉抗性的影响

镉（Cd）是最常见的土壤重金属污染物之一,对植物和人体具有毒害作用,研究不同施肥条件下的土壤微生物Cd抗性水平,可以为有机肥改良重金属污染提供一定的理论依据.为了探讨施无机肥和有机肥对于微生物Cd抗性水平的影响,在中国江苏常州、江西上高和福建福州水稻种植区采集了施有机肥（猪粪）和无机肥的土壤样品及猪粪样品,利用功能基因芯片（GeoChip 5.0）技术,研究了土壤微生物Cd抗性功能基因的响应及影响Cd抗性功能微生物群落互作的因素.结果表明,施有机肥土壤中有效态Cd含量[（1.08±0.70）mg·kg^-1]显著低于施无机肥土壤[（3.75±1.22）mg·kg^-1]（P<0.05）.土壤及猪粪样品中共检测到639个Cd抗性功能基因,施有机肥土壤中微生物Cd抗性基因丰度高于施无机肥土壤;有效态Cd含量、含水率、pH和铵态氮含量是影响Cd抗性微生物分布的重要环境因素.对Cd抗性微生物分子生态网络分析表明,施无机肥条件下,pH、含水率和有效态Cd含量是影响功能微生物潜在互作关系的主要因素;施有机肥条件下,主要影响因素是全钾和含水率.相比较无机肥,施用有机肥提高了土壤中微生物的Cd抗性水平及耐Cd微生物分子生态网络中的正相互作用.     

京津冀及周边地区秋冬季大气污染物排放变化因素解析

基于大气污染源排放清单技术方法,定量分析2016~2017年秋冬季"跨年霾"至2019~2020年秋冬季"疫情霾"期间京津冀及周边地区主要大气污染物排放量变化,解析大气污染防治政策实施带来的减排和疫情造成的活动水平下降对主要污染物排放的贡献,并利用空气质量模型模拟分析不利气象条件下措施减排和疫情影响对空气质量改善的贡献.结果表明,从"跨年霾"（2016-12-16~2017-01-14）至"疫情霾"（2020-01-22~2020-02-14）该区域主要大气污染物排放量大幅下降50%左右,不利气象条件下,区域PM_2.5平均浓度可削减40%以上.措施减排主要来自火电、钢铁等重点工业行业提标改造和工业锅炉、民用燃煤等燃煤源治理,对SO₂和PM_2.5排放量的削减贡献较大,贡献率分别为67.1%和53.4%;疫情主要影响移动源和轻工业活动水平,对NO_x和VOCs排放量的削减贡献较大,贡献率分别为71.9%和68.2%.措施减排对区域空气质量改善贡献突出,有效抑制了重污染过程的强度和范围.在"跨年霾"的不利气象条件下,措施减排使区域PM_2.5平均浓度下降26%,重度及以上污染天数减少44%.受疫情影响,区域PM_2.5平均浓度继续下降24%,重污染持续时间和范围进一步缩减.     

短程硝化反硝化除磷颗粒污泥的同步驯化

本实验对3组同规格SBR反应器分别采用分阶段法（A/O-A/O/A）异步驯化、连续曝气A/OA同步驯化和间歇曝气A/O/A同步驯化的方式运行.以人工配水为进水基质,接种絮状污泥,通过水力选择压颗粒化,探讨了不同运行方式下短程硝化反硝化颗粒污泥的驯化及脱氮除磷特性.结果表明,在较短曝气时长（140 min）联合较低曝气强度［3.5 L·（h·L）^-1］下,间歇曝气A/O/A同步驯化最具优势,后期稳定运行期间碳、氮、磷的平均去除率分别为90.74%、91.15%和95.66%,可实现同步去除.粒径为895μm,颗粒虽小但均匀致密,f值（MLVSS/MLSS）平稳保持在0.8~0.85,有较高的生物量,这是由于间歇曝气下好/缺氧的交替运行,使得缺氧异养菌作为颗粒的核心,有利于颗粒污泥结构的稳定.批次实验结果表明,间歇曝气A/O/A同步驯化下比氨氧化速率为3.38 mg·（g·h）^-1,能利用NO₂^-为电子受体的反硝化聚磷菌（DPAOs）占比达65.46%,更有利于氨氧化菌（AOB）和NO₂^-型DPAOs的同步驯化及富集,保证稳定的处理效果.     

考虑环境约束的中国资源型城市全要素能源效率及其差异研究

论文采用考虑非期望产出的SBM模型测算了考虑环境约束的中国资源型城市全要素能源效率,并对全要素能源效率差异进行分解研究.研究发现:第一,多数资源型城市处于非效率状态,不同类别城市间效率差异明显,并且这种差异并未随时间明显改善;第二,按区域分组,区域内差异是造成全要素能源效率总体差异的主因,其中,中部区域组内差异是造成总体差异的最重要因素;第三,按规划综合分类分组,各群组内部差异是造成总体差异的主因,其中,成熟型组内差异是造成总体差异的最重要因素;第四,按资源类型分组,各群组内部差异是造成总体差异的主因,其中,煤炭类组内差异与综合类组内差异是造成总体差异最为重要的前两位因素.在研究结果的基础上,论文探讨了相关的含义.     

北京一次严重雾霾过程气溶胶光学特性与气象条件

对北京地区2013年10月2~7日一次严重雾霾过程中的气溶胶光学特性开展研究,分析了气象条件对雾霾过程的影响,并结合HYSPLIT模型分析污染物的来源.结果表明,在污染天气中气溶胶光学厚度、?ngström波长指数、细模态体积尺度谱峰值浓度远高于清洁天.10月5日雾霾最为严重,440nm波长处气溶胶光学厚度高达3.89.在雾霾发生前后,单次散射反照率日均值随波长增大而增大,而在10月5日,单次散射反照率值随波长增加先增大后减小,在675nm波长处达到最大值0.965.雾霾过程中大气气溶胶以强散射型细粒子为主,人为因素贡献较大,且受气象条件影响明显.     

Using regression models to evaluate the formation of trihalomethanes and haloacetonitriles via chlorination of source water with low SUVA values in the Yangtze River Delta region,China

The purpose of this study was to develop the multiple regression models to evaluate the formation of trihalomethanes (THMs) and haloacetonitriles (HANs) during chlorination of source water with low specific ultraviolet absorbance (SUVA) in Yangtze River Delta, China. The results showed that the regression models of THMs exhibited good accuracy and precision, and 86–97 % of the calculated values fell within ±25 % of the measured values. While the HANs models showed relatively weak evaluation ability, as only 75–83 % of the calculated values were within ±25 % of the measured values. The organic matter [dissolved organic carbon (DOC) or UV absorbance at 254 nm] and bromide exerted the most important influence on the formation of HANs. While for THMs, besides the organic matter and bromide, reaction time was also a key factor. Comparing the models for total THMs (T-THMs) in this study with others revealed that the regression models from the low SUVA waters may have low DOC coefficients, but high bromide coefficients as compared with those from the high SUVA waters.     

PSAT和BPA在电力系统潮流计算中的对比研究

针对当前电力系统分析程序存在差异的问题,从潮流计算角度,对比研究了国内目前使用较为普遍的2款潮流计算程序(PSAT和PSD-BPA),分析了收敛误差、发电机分接头、负荷比例等不同初值条件设置对其潮流计算结果的影响。分析结果表明:PSAT在建模、可视化和自定义方面具有一定优势,比较适合小规模电网仿真和自定义元件模型研究;而BPA的计算速度快,计算精度高,比较适合大规模电网仿真。