我国环境监测方法标准体系的现状与发展构想

综述了我国环境监测方法标准体系的发展历程和现状,分析了环境监测方法标准在数量和内容及技术水平等方面不能满足环境管理需要、方法标准体系不健全、科学性有待提高等问题,提出加强环境监测方法标准的顶层设计、构建天地一体化的环境监测方法标准体系、实行动态管理并加强质控、加强监测科研借鉴国际经验等发展构想。     

浅谈县级环境监测质量管理工作现状及对策

当前环保系统垂直改革稳步推进,县级环境监测质量管理工作也迎来新的机遇与挑战。从县级环境监测站质量管理工作现状着手,分析新形势下存在质量管理体系有效性缺乏、现场监测过程质量管理薄弱、质量管理意识尚待提高等问题。提出,应从加强体系建设、提高现场监测水平、强化考核培训力度等方面改进县级环境监测质量管理工作水平。     

环境监测技术服务社会化的政策文本研究

以部分省(市)颁布的29份环境监测技术服务社会化政策为研究样本,将市场准入、监测领域、运行管理和监督制裁作为政策文本的分析框架进行计量分析。部分省(市)相关规定具有一定的创新性,使以往混乱的社会环境监测技术服务市场进一步规范化;但多数省(市)的环境监测技术服务社会化政策存在市场准入条件苛刻、监测领域有待放开、运行管理模式僵化、监督制裁手段单一等难题。最后提出放宽市场准入条件、有序开放监测领域、构建多元管理模式、完善监督制裁体系等4项建议对上述难题予以回应。     

全国大气背景地区黑碳浓度特征

分析了2015年14个背景站黑碳浓度水平及分布规律,结果表明:我国背景地区黑碳小时浓度均值呈现明显的对数正态分布特征,14个背景站880 nm波长时年均质量浓度为88.7~1 487.6 ng/m~3,小时最大峰值为685.0~13 731.0 ng/m~3,长岛和衡山相对较高;24 h日浓度变化基本呈现"单峰"状,但峰值出现时刻有所不同;工作日和周末的浓度变化趋势基本相似,但浓度高低与所在区域生产生活方式不同而有所差异。初步探讨了风速和风向与浓度污染水平的关系,相对风速而言,风向对黑碳的浓度影响较大,后向轨迹结果也印证了风向的影响。     

中国土壤环境监测方法现状、问题及建议

综述了目前中国现行的土壤环境监测国家标准方法和环保、农业、林业等行业标准方法,指出国家标准和环保行业标准方法侧重于土壤污染物的检测,而农业和林业标准方法侧重于土壤营养元素及其有效态、理化指标的检测。针对现行标准方法存在的一些问题(如检测的土壤污染物种类少、部分方法先进性不足、土壤环境监测的基础研究薄弱以及方法的标准化尚待完善等),提出加强土壤监测标准方法的顶层设计、合理增加土壤污染物的控制种类,及时更新方法、发展多组分测定方法,加强标准方法研究的系统性、协调性,以及逐步增加原位监测标准方法等建议,为土壤监测技术的发展提供借鉴和参考。     

垃圾炉一次风量对炉床燃烧影响的仿真研究

针对垃圾焚烧炉床层内垃圾燃烧过程复杂性及影响垃圾燃烧效率因素多的问题,运用数值仿真方法对某垃圾焚烧炉床层垃圾燃烧进行了模拟,获得了垃圾质量流失速率、水分蒸发速率、挥发分释放速率、焦炭燃烧速率和烟气的温度;并在50~1 000 Nm3/min范围内改变一次风流量,获得了床层质量流失比值、过剩空气系数和烟气中各组分的质量百分比含量。仿真结果显示,一次风流量取值517.47~6`32.09 Nm3/min时燃烧效率较高;炉排两端区域的一次风流量在50~75 Nm3/min时,可以使垃圾床表面平均温度明显提高,而且还可以提高燃烧效率,同时减少供风总量,节约能源与动力资源。本研究对优化设计垃圾焚烧炉,提高床层内垃圾的燃烧效率有一定参考价值。     

Machine learning for radioxenon event classification for the Comprehensive Nuclear-Test-Ban Treaty

A method of weapon detection for the Comprehensive nuclear-Test-Ban-Treaty (CTBT) consists of monitoring the amount of radioxenon in the atmosphere by measuring and sampling the activity concentration of ^131mXe, ¹³³Xe, ^133mXe, and ¹³⁵Xe by radionuclide monitoring. Several explosion samples were simulated based on real data since the measured data of this type is quite rare. These data sets consisted of different circumstances of a nuclear explosion, and are used as training data sets to establish an effective classification model employing state-of-the-art technologies in machine learning. A study was conducted involving classic induction algorithms in machine learning including Naïve Bayes, Neural Networks, Decision Trees, k-Nearest Neighbors, and Support Vector Machines, that revealed that they can successfully be used in this practical application. In particular, our studies show that many induction algorithms in machine learning outperform a simple linear discriminator when a signal is found in a high radioxenon background environment.     

Variation of radiation level and radionuclide enrichment in high background area

Significantly high radiation level and radionuclide concentration along Quilon beach area of coastal Kerala have been reported by several investigators. Detailed gamma radiation level survey was carried out using a portable scintillometer. Detailed studies on radionuclides concentration in different environmental matrices of high background areas were undertaken in the coastal areas of Karunagapalli, Kayankulam, Chavara, Neendakara and Kollam to study the distribution and enrichment of the radionuclides in the region. The absorbed gamma dose rates in air in high background area are in the range 43-17,400 nGyh⁻¹. Gamma radiation level is found to be maximum at a distance of 20 m from the sea waterline in all beaches. The soil samples collected from different locations were analysed for primordial radionuclides by gamma spectrometry. The activity of primordial radionuclides was determined for the different size fractions of soil to study the enrichment pattern. The highest activity of ²³²Th and ²²⁶Ra was found to be enriched in 125-63 μ size fraction. The preferential accumulation of ⁴⁰K was found in <63 μ fraction. The minimum ²³²Th activity was 30.2 Bq kg⁻¹, found in 1000-500 μ particle size fraction at Kollam and maximum activity of 3250.4 Bq kg⁻¹ was observed in grains of size 125-63 μ at Neendakara. The lowest ²²⁶Ra activity observed was 33.9 Bq kg⁻¹ at Neendakara in grains of size 1000-500 μ and the highest activity observed was 482.6 Bq kg⁻¹ in grains of size 125-63 μ in Neendakara. The highest ⁴⁰K activity found was 1923 Bq kg⁻¹ in grains of size <63 μ for a sample collected from Neendakara. A good correlation was observed between computed dose and measured dose in air. The correlation between ²³²Th and ²²⁶Ra was also moderately high. The results of these investigations are presented and discussed in this paper.     

The contribution of ship emissions to air pollution in the North Sea regions

As a consequence of the global distribution of manufacturing sites and the increasing international division of labour, ship traffic is steadily increasing and is becoming more and more important as an origin of air pollution.This study investigates the impact of ship emissions in coastal areas of the North Sea under conditions of the year 2000 by means of a regional chemistry transport model which runs on a sufficiently high resolution to study air pollution in coastal regions. It was found that northern Germany and Denmark in summer suffer from more than 50% higher sulphate, nitrate and ammonium aerosol concentrations due to contributions from ships. The implementation of a sulphur emission control area (SECA) in the North Sea, as it was implemented at the end of 2007, directly results in reduced sulphur dioxide and sulphate aerosol concentrations while nitrate aerosol concentrations are slightly increased.