纳氏试剂比色法测定水体中氨氮常见问题与解决办法

阐述了纳氏试剂比色法测定氨氮实验中涉及的各反应过程原理，对实验中常见的6个问题分别作了探讨，提出了解决办法。  

中国不同尺度大气污染物排放清单编制工作综述

大气污染物排放清单的编制可以直观表现清单编制地区的污染源状况,为政府制定污染物防控措施提供科学依据。在查阅大量文献的基础上,从清单方法学、区域和城市排放、清单不确定性3个方面对中国大部分地区的大气污染物排放清单编制工作进行了汇总整理。提出了未建立符合我国国情的排放因子和活动水平数据库、排放清单分辨率和不确定性研究水平不高、缺少对不发达地区的清单编制等问题。建议统筹排放清单编制工作,保证基础数据的准确性,逐步建立主要污染物的清单编制技术指南,加强学科间和国际间合作,开拓排放清单新的研究方向。最后,对未来大气污染物排放清单的编制工作提出了展望。  

Occurrence, source apportionment and toxicity assessment of polycyclic aromatic hydrocarbons in surface sediments of Chaohu, one of the most polluted lakes in China

In order to evaluate the effect of local anthropogenic activities on Chaohu Lake, one of the most eutrophicated lakes in China, surface sediments have been collected from the whole lake with 0.05 × 0.05 degree latitude/longitude resolution and in the estuaries of three main inflowing rivers. The concentrations of the 28 polycyclic aromatic hydrocarbons (PAHs) determined were in a range 82.4-13,000 ng g(-1) with an average value of 1670 ng g(-1) dry weight for total 28 PAHs (referred to as Σ(28)PAH). Amongst the 28 PAHs, 16 are listed as high priority PAHs by the USEPA and they were in the range of 60.8-10,200 ng g(-1) with an average value of 1230 ng g(-1) for the total of them (referred to as Σ(16)PAH); 7 are known as carcinogenic PAHs and their levels ranged from 34.2 to 6400 ng g(-1) with an average of 815 ng g(-1) in total (referred to as Σ(7)PAH). Chaohu Lake was considered significantly polluted by PAHs through the comparison with the PAH burdens in fresh-water lakes both in China and worldwide. Toxic units (TUs) evaluation showed some sampling locations possibly were over the median lethal level for benthic invertebrate. The highest PAH concentrations were found in sediments from the Nanfei River estuary, suggesting the major contributor of PAHs contamination to the lake. The PAHs with four and five rings were found to be dominant among the PAHs detected in all of the sediment samples, and perylene was the most abundant. Σ(16)PAH had a good correlation with those PAHs from pyrogenic sources, such as anthracene and phenanthrene, but a poor correlation with perylene. The results demonstrated that the environmental behavior of PAHs from pyrogenic sources is significantly different to that of perylene from diagenetic sources. The PAHs in sediments were mainly from traffic-related emission by qualitatively assessing with the diagnostic ratios of PAH isomers, and the ratios for low molecular weight PAHs were strongly altered during their transport.  

株洲夏季大气中气态总汞浓度特征

为研究株洲市夏季优良天气下大气中气态总汞(TGM)的浓度特征,于2013年8月利用大气汞分析仪(2537X,加拿大)进行了20 d的连续在线观测。结果显示,实验期间株洲市大气TGM的平均浓度为(4.20±3.37)ng/m³,中值浓度为3.40 ng/m³,高于背景地区和沿海城市,略低于国内其他重点城市。晴天、阴雨天TGM浓度分别为3.59、7.96 ng/m³。晴天TGM浓度具有一定日变化规律,最高值出现在早上7:00~9:00,之后逐渐降低,17:00出现最低值;TGM白天和夜间浓度分别为3.57、3.62 ng/m³,昼夜变化不大。晴天TGM与一次污染物SO₂、CO、NO₂具有显著的正相关性,与O₃呈显著负相关性。株洲市夏季主导风向为东南风,该方向没有明显污染源,西北方向风向频率较低,但TGM浓度明显升高,其主要来源可能是位于西北方向的清水塘工业区。  

Determination and study on dissipation and residue of bismerthiazol and its metabolite in Chinese cabbage and soil

A simple and accurate method for the determination of bismerthiazol and its metabolite 2-amino-5-mercapto-1,3,4-thiadiazole was developed in Chinese cabbage and soil by high-performance liquid chromatography-diode array detection in this study. The limits of detection were 0.06 mg/kg for bismerthiazol and 0.03 mg/kg for 2-amino-5-mercapto-1,3,4-thiadiazole, respectively. Recoveries of cabbage and soil were investigated at three spiking levels and were in the range of 84.0–96.0 % for bismerthiazol and 71.0–74.6 % for 2-amino-5-mercapto-1,3,4-thiadiazole, with relative standard deviations below 7.0 %. For field experiments, the half-life of bismerthiazol was 2.4–2.5 days in Chinese cabbage and 2.5–4.8 days in soil at the two experimental locations in China. Dissipation residues of 2-amino-5-mercapto-1,3,4-thiadiazole were lower than 0.72 mg/kg. Terminal residues of bismerthiazol and its metabolite were less than 3.0 and 0.3 mg/kg in Chinese cabbage, respectively. No bismerthiazol or metabolite residues were detected in soil on days 5, 7, 10, and 14 after the last spraying at the two dosage levels.  

Water quality of a tributary of the Pearl River, the Beijiang, Southern China: implications from multivariate statistical analyses

Water quality information of Beijiang River, a tributary of Pearl River in Guangdong, China, was analyzed to provide an overview of the hydrochemical functioning of a major agricultural/rural area and an industrial/urban area. Eighteen water quality parameters were surveyed at 13 sites from 2005 to 2006 on a monthly basis. A bivariate correlation analysis was carried out to evaluate the regional correlations of the water quality parameters, while the principal component analysis (PCA) technique was used to extract the most influential variables for regional variations of river water quality. Six principal components were extracted in PCA which explained more than 78% and 84% of the total variance for agricultural/rural and industrial/urban areas, respectively. Physicochemical factor, organic pollution, sewage pollution, geogenic factor, agricultural nonpoint source pollution, and accumulated pesticide usage were identified as potential pollution sources for agricultural/rural area, whereas industrial wastewaters pollution, mineral pollution, geogenic factor, urban sewage pollution, chemical industrial pollution, and water traffic pollution were the latent pollution sources for industrial/urban area. A multivariate linear regression of absolute principal component scores (MLR-APCS) technique was used to estimate contributions of all identified pollution sources to each water quality parameter. High coefficients of determination of the regression equations suggested that the MLR-APCS model was applicable for estimation of sources of most water quality parameters in the Beijiang River Basin.  

泰东河疏浚工程对通榆河水质的影响

为了解泰东河疏浚工程对通榆河水质的影响，于2012年6月8日、9月12日、12月6日，对泰东河沿线以及通榆河东台段进行调查取样，分析施工期间河体水质变化。结果表明，施工期间水质参数基本保持在Ⅱ～Ⅲ类。根据江苏省水环境监测中心盐城分中心2011年、2013年监测资料评价分析，泰东河河道疏浚后，清理了河床淤泥，提高了泰东河的行洪、抗洪以及通航能力，其水质的好转有效地改善了下游通榆河的水质，确保了饮水安全。  

基于AHP的密闭环境空气质量评价模型及其应用

针对指数法在评价密闭环境空气质量中存在评价因素单一，不能反映多种污染物对空气环境质量的综合影响等缺点，结合模糊数学的原理与方法，对密闭环境空气质量进行评价。采用层次分析法赋权，按最大隶属原则，通过模糊数学模型对某密闭环境空气质量进行综合评价，评价结果较科学地反映了空气质量的真实状况。  

等离子体发射光谱法等三种方法测定马铃薯中镉

采用IRISER/SDuoICP测定马铃薯中的镉元素含量,并与火焰原子吸收法和石墨炉原子吸收法的测定作一比较,3种方法的检测限分别为0 001mg/L、0 004mg/L和0 25ng/L,加标回收率均在95%～102%范围内,相对标准差<10%。  

2017—2019年扬州市大气污染物与儿童呼吸系统门诊量的时间序列分析

收集扬州市2017—2019年大气污染物细颗粒物(PM_(2.5))、二氧化硫(SO_2)、二氧化氮(NO_2)和臭氧(O_3)的日均质量浓度、气象因素(日均温度、相对湿度)以及每日儿童呼吸系统门诊量数据,运用广义相加模型(GAM)进行单污染物和多污染物分析。结果表明,单污染物分析中,大气污染物的质量浓度累积滞后效应均大于单独滞后效应。ρ(PM_(2.5))、ρ(SO_2)和ρ(NO_2)对儿童呼吸系统门诊量影响效应均在累积滞后7 d(lag 07)达到最大值,ρ(O_3)在累积滞后6 d(lag 06)达到最大值。表现为ρ(PM_(2.5))、ρ(SO_2)和ρ(NO_2)在lag 07时,每升高10μg/m~3,儿童呼吸系统门诊量超额危险度分别为0.720%[95%置信区间(95%CI):0.346%～1.095%]、6.955%(95%CI:5.197%～8.743%)和2.133%(95%CI:1.516%～2.754%);ρ(O_3)在lag 06时,每升高10μg/m~3,儿童呼吸系统门诊量超额危险度为1.160%(95%CI:0.873%～1.447%)。多污染物分析中,当引入所有污染物(SO_2+NO_2+O_3)时,PM_(2.5)对儿童呼吸系统门诊量风险影响消失。大气污染物浓度的升高会增加儿童呼吸系统疾病的发生风险,并且其影响存在一定的滞后效应,有必要开展有针对性的大气污染物与儿童呼吸系统疾病的预警研究,保护易感人群,合理分配卫生资源。