核算间接冷却水污染当量数的研讨

针对间接冷却水的特点和核算其污染当量数过程中存在的问题，阐述了间接冷却水的界定，水源水的采样监测技术，本底值的扣除以及超标排放的判别等环节的技术要求和注意事项，并就与之密切相关的几个问题展开了讨论,为核算间接冷却水当量数提供了一定的参考依据，建议增加水湿排放指标，以切实控制间接冷却水造成的主要污染－热污染。     

Using Multiple Antibiotic Resistance and land use characteristics to determine sources of fecal coliform bacterial pollution

Multiple Antibiotic Resistance (MAR) analysis and regression modeling techniques were used to identify surface water areas impacted by fecal pollution from human sources, and to determine the effects of land use on fecal pollution in Murrells Inlet, a small, urbanized, high-salinity estuary located between Myrtle Beach and Georgetown, South Carolina. MAR analysis was performed to identify areas in the estuary that are impacted by human-source fecal pollution. Additionally, regression analysis was performed to determine if an association exists between land use and fecal coliform densities over the ten-year period from 1989 to 1998. Land-use variables were derived using Geographic Information System (GIS) techniques and were used in the regression analysis.MAR analyses were conducted by comparing the frequency and patterns of antibiotic resistance found in Escherichia coli isolates derived from surface water samples and from sewage sources in the Murrells Inlet sewage collection system. The MAR results suggest that the majority of the fecal pollution detected in the Murrells Inlet estuary may be from non-human sources, including fecal coliforms isolated from areas in close proximity to high densities of active septic tanks.A MAR Index, which measures the frequency of antibiotic resistance, was calculated for each of twenty-three water samples and nine sewage samples. The antibiotic resistance pattern comparisons were performed using cluster analysis. Although the MAR indices indicated that several surface water sites had potential human-source contamination, the cluster analysis suggests that only one sampling site had MAR patterns that were similar to those found in the sewage samples. This site was in close proximity to several large pleasure boats as well as a sewage collection system lift station, but was not near areas with active septic tanks. The results of the regression analysis also suggest that sewage sources and rainfall runoff from urbanized areas may contribute to fecal pollution in the estuary.     

大气可吸入颗粒物研究进展

简述了国内外有关大气颗粒物中的可吸入颗粒物 (空气动力学直径小于或等于 10 μm)的研究进展 ,主要围绕可吸入颗粒物的基本特性、可吸入颗粒物与健康的关系、可吸入颗粒物的源解析 ,对其研究动向进行阐述。     

Characteristics and source apportionment of PM2.5 under the dual influence of the Spring Festival and the COVID-19 pandemic in Yuncheng city

Based on the online and membrane sampling data of Yuncheng from January 1st to February 12th, 2020, the formation mechanism of haze under the dual influence of Spring Festival and COVID-19 (Corona Virus Disease) was analyzed. Atmospheric capacity, chemical composition, secondary transformation, source apportionment, backward trajectory, pollution space and enterprise distribution were studied. Low wind speed, high humidity and small atmospheric capacity inhibited the diffusion of air pollutants. Four severe pollution processes occurred during the period, and the pollution degree was the highest around the Spring Festival. In light, medium and heavy pollution periods, the proportion of SNA (SO₄²⁻, NO₃⁻ and NH₄⁺) was 59.6%, 56.0% and 54.9%, respectively, which was the largest components of PM_2.5; the [NO₃⁻]/[SO₄²⁻] ratio was 2.1, 1.5 and 1.7, respectively, indicating that coal source had a great influence; the changes of NOR (nitrogen oxidation ratio, 0.44, 0.45, 0.61) and SOR (sulphur oxidation ratio, 0.40, 0.49, 0.65) indicated the accumulation of secondary aerosols with increasing pollution. The coal combustion, motor vehicle, secondary inorganic sources and industrial sources contributed 36.8%, 26.59%, 11.84% and 8.02% to PM_2.5 masses, respectively. Backward trajectory showed that the influence from the east was greater during the Spring Festival, and the pollutants from the eastern air mass were higher, which would aggravate the pollution. Meteorological and Spring Festival had a great impact on heavy pollution weather. Although some work could not operate due to the impact of the COVID-19 epidemic, the emission of pollutants did not reduce much.     

氯气和光气爆燃事故源强估算

在建立化学品泄漏的气体排放、液体排放、两相排放模式和爆炸燃烧的火球和气爆，蒸气云爆炸及绝热扩散和池蒸发扩展等模式的基础上，估计分析了氯气和光气爆燃事故源强，即爆炸能量及碎片抛射、冲击波、热辐射和毒云等后果影响     

生物炭环境效应和在农业面源污染防治中的作用

生物炭能够延缓肥料养分释放,提高肥料利用率,降低肥料及土壤养分流失,从而减轻农业面源污染。同时,生物炭进入土壤中,实现碳的封存固定,减少碳排放。     

温室气体的“源”与“汇”及其防治对策

从"源"与"汇"理论入手,分析大气中四种主要温室气体CO2、CH4、N2O和CFCs的"源"与"汇",并提出相应防治对策。     

上海某饮用水源地不同形态氮的时空分布研究

在2010~2012年进行的上海某水源地水质监测资料的基础上,应用纳氏试剂分光光度法等分析方法研究该水源地2011年1~10月总氮、氨氮、硝酸盐氮、亚硝酸盐氮等不同形态的氮素在水体中的空间分布规律及时间变化规律。并就其氮的来源、迁移转化机理和对氮的迁移转化有较大影响的因素进行研究和分析,得出该水库水体中各种形态氮以硝酸盐氮为主,平均占总氮的71.6%,氨氮及亚硝酸盐氮各占总氮的4.39%及0.95%;水体中的温度、光照条件、溶解氧、点位位置分布、水深等是影响各氮形态含量与分布的重要环境因子。     

沈阳地区冬季空气颗粒物输送路径及潜在源分析

文章利用2016～2017年冬季沈阳地区气象数据和环境空气污染物浓度数据,综合分析沈阳地区冬季环境空气污染特征,分析颗粒物输送路径以及潜在源区贡献情况.结果表明,沈阳地区冬季污染时段内PM2.5是主要污染物,PM2.5平均浓度达到149μg/m3,最大值达到273 μg/m3.沈阳地区环境空气颗粒物除来源于本地排放外,...     

Source characterization of ambient fine particles at multiple sites in the Seattle area

To identify major PM_2.5 (particulate matter ≤2.5 μm in aerodynamic diameter) sources with a particular emphasis on the ship engine emissions from a major port, integrated 24 h PM_2.5 speciation data collected between 2000 and 2005 at five United State Environmental Protection Agency's Speciation Trends Network monitoring sites in Seattle, WA were analyzed. Seven to ten PM_2.5 sources were identified through the application of positive matrix factorization (PMF). Secondary particles (12–26% for secondary nitrate; 17–20% for secondary sulfate) and gasoline vehicle emissions (13–31%) made the largest contributions to the PM_2.5 mass concentrations at all of the monitoring sites except for the residential Lake Forest site, where wood smoke contributed the most PM_2.5 mass (31%). Other identified sources include diesel vehicle emissions, airborne soil, residual oil combustion, sea salt, aged sea salt, metal processing, and cement kiln. Residual oil combustion sources identified at multiple monitoring sites point clearly to the Port of Seattle suggesting ship emissions as the source of oil combustion particles. In addition, the relationship between sulfate concentrations and the oil combustion emissions indicated contributions of ship emissions to the local sulfate concentrations. The analysis of spatial variability of PM_2.5 sources shows that the spatial distributions of several PM_2.5 sources were heterogeneous within a given air shed.