关于臭氧—靛蓝二磺酸钠分光光度法（GB／T15437—95）问题探讨

本文就臭氧—靛蓝二磺酸钠（ Ｉ Ｄ Ｓ）分光光度法（ Ｇ Ｂ／ Ｔ１５４３７－ ９５）中存在的问题进行了深入探讨,指出其臭氧摩尔质量（ １２ Ｏ３）为２４００ｇ／ｍ ｏｌ,而不是１２００ｇ／ｍ ｏｌ,从而纠正了方法中的错误。     

乙酰丙酮分光光度法测定新车内空气中的甲醛

根据《乘用车内空气质量评价指南》GB/T27630-2011规定要求采样,并采用乙酰丙酮分光光度法测定10辆新轿车内空气中甲醛,结果表明,有8辆车超过了该指南规定的甲醛最高容许质量浓度0.10mg/m3,汽车内部环境污染对人体健康危害不容忽视。     

二安替比林甲烷分光光度法测定氯化镁中钛的含量

用盐酸溶解氯化镁样品,以抗坏血酸和焦磷酸钠共同作掩蔽剂,在酸性介质中用二安替比林甲烷分光光度法测定氯化镁中钛的含量,给出了合理的实验条件.     

分光光度法测定大气气溶胶中铬

研究采用分光光度法测定大气气溶胶中铬,测定波长为540nm.铬浓度在0.05 μ g/50mL～10μg/50mL范围内与吸光度呈良好的线性关系,大气气溶胶中铬的检出浓度为2.2×10-4 μg·m-3.当铬的浓度为0.07 μ g/50mL时,方法的相对标准偏差为12%(n=3),加标回收率为79%～113%.     

紫外分光光度法测定水中石油类物质的有关问题探讨

对紫外分光光度法测定水中石油类物质中，有关萃取剂、萃取技术、标准曲线斜率的稳定性等进行了初步探讨。     

紫外分光光度法测定水中矿物油时的水份脱除问题

简要介绍了在水中矿物油的测定过程中，无水硫酸钠铺垫厚度对石油醚萃取液脱水过滤速度及水样测定结果的影响，得出了水样污染越重，石油醚萃取液中含的水份越多，无水硫酸钠铺垫厚度应适当加厚，但测定结果仍满足环境监测要求的结论。     

用差示分光光度法测定高浓度皮革废水中铬的方法探讨

介绍了应用差示分光光度法直接测定高浓度皮革废水中Cr的方法，通过与原实验方法分析结果的对比，获得了满意的结果，能基本满足环境监测的要求。     

硫氰酸汞分光光度法测定空气中氯化氢的条件控制

硫氰酸汞分光光度法测定空气中氯化氢,方法试剂空白不稳定,控制显色温度和硫氰酸汞-乙醇溶液的制备是降低并稳定试剂空白的关键所在。本文使用0．40％硫氰酸汞-乙醇溶液,2cm或3cm比色皿,显色温度25℃左右,标准曲线斜率较高,线性关系和准确度较好。     

运用机器学习方法预测空气中臭氧浓度

臭氧(O_3)浓度变化与天然源、移动源和点源的排放量存在某些隐含的关联。根据臭氧浓度变化的特性,基于污染源在线排放数据、气象监测数据以及空气质量监测数据构造特征,运用机器学习方法进行逐小时臭氧浓度预测。该方法不仅充分利用了臭氧浓度变化时序数据,而且考虑了气象条件变化对污染物浓度变化的影响,最重要的是将点源排放氮氧化物这一臭氧生成的重要前体物纳入模型考虑。在金砖国家领导人厦门会晤前后(2017年8月31日至9月9日),运用该方法对厦门市溪东、洪文、鼓浪屿和湖里中学四个大气自动监测站的臭氧小时浓度平均值进行滚动预报,比较准确地模拟出臭氧浓度的日周期性变化,同时对峰值和低谷能够进行较为有效的捕捉和刻画。按照《环境空气质量标准》(GB3095—2012)臭氧日最大八小时浓度平均值进行评价,四个站点均取得了90%的预报等级准确率。     

滤膜法测定空气中氟化物的改进

测定环境空气中微量氟的方法一般采用滤膜法，但此法工作量大，针对这种情况，本文作两点改进：一是将采集的两张滤膜同时测定；二是将测定过程中的搅拌时间缩短，这样不影响测定结果的准确性，而且降低了工作量。     

"钼酸铵显色-离心分离光度法"测高悬浮物地表水中总磷的方法探讨

本文对高悬浮物地表水中总磷测定方法进行了探讨,提出了用“钼酸铵显色-离心分离法”解决由于高悬浮物所带来的分析误差。通过实验室大量样品分析实验,证明此方法的可行性。     

红外分光光度法测定水和废水中油类的改进

本文对红外分光光度法测定水和废水中的油类的萃取和吸附操作进行了改进。结果表明,该方法的精密度和准确度能达到国家标准的要求,且操作更加方便、快捷,可以应用于日常环境监测分析。     

室内空气采样及几种重要污染物的监测分析方法探讨

随着人们对室内空气质量重视程度的提高,室内空气监测技术近年来也不断得到发展。采样是监测中最重要的环节,采样时间、位置选择的正确与否直接影响测定的成功与否。采样目的是确定采样方案过程中的指导原则,一个成功的采样应用具备明确的目的性。氡、气溶胶、VOCs、甲醛是重要的室内污染物,其采样和测定技术逐步走向成熟。     

An Approach for Evaluating the Effectiveness of Various Ozone Air Quality Standards for Protecting Trees

We demonstrate an approach for evaluating the level of protection attained using a variety of forms and levels of past, current, and proposed Air Quality Standards (AQSs). The U.S. Clean Air Act requires the establishment of ambient air quality standards to protect health and public welfare. However, determination of attainment of these standards is based on ambient pollutant concentrations rather than prevention of adverse effects. To determine if a given AQS protected against adverse effects on vegetation, hourly ozone concentrations were adjusted to create exposure levels that “just attain” a given standard. These exposures were used in combination with a physiologically-based tree growth model to account for the interactions of climate and ozone. In the evaluation, we used ozone concentrations from two 6-year time periods from the San Bernardino Mountains in California. There were clear differences in the level of vegetation protection achieved with the various AQSs. Based on modeled plant growth, the most effective standards were the California 8-hr average maximum of 70 ppb and a seasonal, cumulative, concentration-weighted index (SUM06), which if attained, resulted in annual growth reductions of 1% or less. Least effective was the 1-hr maximum of 120 ppb which resulted in a 7% annual reduction. We conclude that combining climate, exposure scenarios, and a process-based plant growth simulator was a useful approach for evaluating effectiveness of current or proposed air quality standards, or evaluating the form and/or level of a standard based on preventing adverse growth effects.     

Stricter Ozone Ambient Air Quality Standard Has Beneficial Effect on Ponderosa Pine in California

Ambient air quality standards and control strategies are implemented to protect humans and vegetation from adverse effects. We used a process-based tree-growth model (TREGRO) to show that over the past 37 years, changes in O₃ exposure, with accompanying variation in climate, are reflected in changes in the growth of Pinus ponderosa Dougl. ex Laws. in the San Bernardino Mountains near Los Angeles, California, USA. Despite variation in temperature and precipitation over the study period (1963–1999), O₃ exposure consistently reduced simulated tree growth. Simulated growth reductions increased concurrent with increasing O₃ exposure. The maximum growth reduction occurred in 1979. As O₃ exposures decreased during the 1980s and 1990s, effects on growth also decreased. This implies that emission control strategies taken to reduce exposures to attain O₃ standards benefited P. ponderosa growth in the San Bernardino Mountains. This modeling approach provides a powerful tool for solving the difficult problem of evaluating regulatory effectiveness by simulating plant response using long-term climate and air pollution exposure records for a given region.Phone 541 754-4621 Fax 541 754-4799