用工业废水排放量预测地面水CODMn灰色方法研究

ＧＰＭ（１）灰色生长曲线常被用于等距时序环境系统的分析建模、非等距摆动空间序列方面的应用尚未报道。本文研究提出了将非等距摆动空间序列经过等距化处理的ＧＰＭ（１）线性回归优化建模方法采用该方法所建的非等距ＧＰＭ（１）模型用于工业废水量预测地面水ＣＯＤＭｎ的实例表明，该方法简捷，方便、精度高于回归分析，有较大实用价值。     

带有阶跃函数的GIM（1）预测模型及其应用

结合某水域地面水ＲＯＤ５的预测实践,研究提出了带有阶跃函数的ＧＩＭ（１）预测模型,并给出了估计这种模型参数的简便方法,从而扩大了ＧＩＭ（１）模型在环境系统中的应用范围,实例表明,运用该方法得到的模型比常规ＧＩＭ（１）具有更高的精度。     

纺织厂车间噪声的灰色GIM（1）预测模型

利用灰色ＧＩＭ（１）模型的非时序直接建模法原理,对纺织厂织造车间的环境噪声分别建立了等间隔和不等间隔的非时序预测模型。实测研究表明ＧＩＭ（１）模型优于常规ＧＭ（１,１）模型,且所需建模数据大为减少,预测精度更高（达９９．９９％）,从而拓宽了灰色预测的适用范围。     

也谈GAM与GM（1,1）模型

通过对环境预测中灰色建模方法的回顾，说明了ＧＡＭ和ＧＭ（１，１）模型各有所长，最重要的是建模手段的丰富。     

GC/PID分析有机污染物

ＧＣ／ＰＩＤ分析有机污染物张莘民（江苏省泰州市环境监测站，泰州２２５３００）纪云琴（江苏百乐电热电器有限公司）１概述六十年代以来，人们对光离子化检测器（ＰＩＤ）作为气相色谱的检测器进行了较多的报道〔１～６〕，光离子化检测器是一种通用性兼选择性的检测器...     

用计算器灰色预测环境污染

建立了环境污染预测的ＧＭ（１．１）模型，并在ＣＡＳＩＯｆｘ－３８００Ｐ计算器上进行程序设计。实例应用结果表明，用计算器来实现环境污染灰色预测，不仅简便、快速、结果准确可靠，而且较之计算机更为方便实用。     

环境预测中的GAM模型

当原始序列属代数曲线型时，应用ＧＡＭ模型可以提高精度，从而避免进行ＧＭ（１，１）模型的残差修正二次建模。从分析ＧＭ（１，１）模型的缺陷着手，结合实例详细介绍了ＧＡＭ模型的思想形成和计算方法。     

4—（H—酸偶氮）—1—苯基—3—甲基吡唑酮光度法测定铜的研究及应用

合成了新试剂４－（Ｈ－酸偶氮）１－苯基－３－甲基吡唑酮（ＨＰＭＰ）,研究了其和铜的显色反应。在ｐＨ＝７的ＮＨ４Ａｃ缓冲介质中,ＣＴＭＡＢ存在下,ＨＰＭＰ与Ｃｕ（Ⅱ）生成２∶１紫色络合物,λｍａｘ＝５８０ｎｍ,ε＝５．６８×１０４Ｌ·ｍｏｌ－１·ｃｍ－１。铜含量在０～０．６ｍｇ／Ｌ内符合比耳定律。方法用于水样和生物样品中铜的测定,结果令人满意。     

万元产值废水排放量的GTPM（1）模型步长指数变换建模方法研究

在万元产值废水排放量这类环境系统中，既有单调递增或单调递减的单调系统，也有前期单调递增后期单调递减的非单调系统。本文研究提出的ＧＴＰＭ（１）步长指数变换建模方法，对于前增后减的非单调系统是非常有效的。应用实例表明，此方法不仅为一控制开辟新途径，也进一步拓宽了灰色预测方法在环境系统中的应用范围。     

浅谈GAM与GM（1,1）模型

对ＧＡＭ水环境预测模型提出了四点不同看法，与有关作者商榷，指出ＧＭ（１，１）模型与ＧＡＭ模型二者并无优劣之差，精度亦相当。     

非等间隔GM（1，1）模型在液相色谱保留值研究中的应用

本文运用灰色系统理论思想，建立非等间隔ＧＭ（１，１）模型，对色谱中的流动相组成及容量因子的关系进行预测研究，所建立模型能实现对各实验点值进行模拟和合理地预测。     

PUF大气被动采样技术对POPs的采样计算

随着《斯德哥尔摩公约》的实施,大气中持久性有机污染物(POPs)的大气被动采样(PAS)观测技术得到了快速发展,相比于传统大气主动采样技术,PAS技术具有明显的优势。以应用最为广泛的聚氨酯软性泡沫材料大气被动采样(PUF-PAS)为例,重点阐述和讨论了3种通过大气被动采样技术来计算污染物在空气中的浓度的方法,并对其采样原理和发展趋势进行了简要介绍。     

Monitoring of Butter and Ghee (Clarified Butter Fat) for Pesticidal Contamination from Cotton Belt of Haryana, India

Butter (45) and ghee (55) samples were collected from rural and urban areas of cotton growing belt of Haryana and analysed for detecting the residues of organochlorine, synthetic pyrethroid and organophosphate insecticides. The estimation was carried out by using multi residue analytical technique employing GC-ECD and GC-NPD systems equipped with capillary columns. Butter samples were comparatively more contaminated (97%) than ghee (94%), showing more contamination with organochlorine insecticides from urban samples. About 11% samples of butter showed endosulfan residues above MRL value and 2% samples had residues of synthetic pyrethroids and organophosphates each above their respective MRL values. In ghee, residues of HCH & DDT both and of endosulfan exceeded the MRL values in 5 and 20% samples, respectively. Among organophosphates, only chlorpyriphos was detected with 9% samples showing its residue above MRL value. Irrespective of contamination levels, residues above the MRL values were more in ghee. More extensive study covering other agricultural regions/zones of Haryana has been suggested to know the overall scenario of contamination of milk products.     

环境振动的灰色预测模型

利用GIM(1)的非时序直接建模法预测研究建筑施工的环境振动 ,并将GIM(1)模型与GM (1,1)模型进行比较分析 ,结果表明GIM(1)模型的拟合精度优良 ,对原始资料中白化信息的利用更加丰富 ,拓宽了GIM (1)模型在环境科学领域中的应用范围     

Recommendations for Monitoring of Polybrominated Diphenyl Ethers in the Canadian Environment

Polybrominated diphenyl ethers (PBDEs) have been reported in air, surface waters, suspended sediments, soil, sediment, fish, marine mammals, and bird eggs throughout Canada, from the St. Lawrence Estuary to the Strait of Georgia and the northernmost reaches of the Canadian Arctic. Canadian scientists have detected the presence of PBDEs in breast milk in every Canadian province. In fact, recent data on temporal trends strongly suggests that the concentrations of PBDEs are on the rise in the Canadian environment. These findings are similar to those reported in other nordic countries, and have prompted several countries to implement environmental monitoring programs. Among the key challenges currently facing Canada and other countries concerns how best to measure these chemicals in different matrices. In this paper, several analytical methods cited in the scientific literature for determining PBDE concentrations in different abiotic and biological matrices are reviewed. The critical criteria required for accurate determination of PBDEs in complex environmental matrices are discussed, including instrument sensitivity, reliability, potential interference's and the need for specialized instrumentation for the determination of compounds up to 975 Daltons. While a single analytical method that meets these and other criteria has not yet been perfected by scientists, GC/HRMS-based methods amenable to isotope dilution techniques warrant further refinement, and likely represent the best tools for future environmental monitoring programs.     

水中微量偏二甲基肼检测方法的研究和应用

偏二甲基肌是川作火箭推进剂燃料，有较大的毒性，也是环境污染物。它的水中最大允许浓度为０．０６ｍｇ／Ｌ。本研究建立了一种水中微量偏二甲基肼的检测方法，采用钼酸铵作为试剂的比色测定法，方法简便、准确、灵敏度高，可川于现场检测。本文还报道了应用本法测定了水中微量肼和甲基肼的稳定性的结果。     

灰色系统模型在高锰酸盐指数预测中的应用

以某地地表水中高锰酸盐指数年平均浓度变化为依据 ,应用灰色系统中 GM(1 ,1 )模型 ,对高锰酸盐指数浓度进行预测分析。     

乙腈盐析萃取HPLC-PDA同时测定水中11种苯胺类化合物

通过对色谱分析和样品萃取条件的选择和优化，建立了同时分析水中11种苯胺类化合物的HPLC方法。样品经乙腈盐析萃取后直接进样分析，采用 ODS色谱柱，以乙腈-水为流动相进行梯度洗脱，用PDA检测。结果表明，11种苯胺类化合物在0.20~100mg/L范围内其浓度和检测信号呈良好的线性关系，方法检出限为0.002~0.007mg/L，地表水和废水样品加标回收率为81.6%~97.4%，相对标准偏差为1.5%~5.5%。     

Multivariate Statistical Analysis of Meteorological and Air Pollution Data in the ‘Campo De Gibraltar’ Region, Spain

A complete statistical analysis of meteorological and air pollution data was carried out in the ‘Campo de Gibraltar’ region (in the South of Spain) from 1999 to 2002. This is a heavy industrialized area where, up to date, very few air pollution studies have been made. The main objectives of the study presented here have been the characterization of the meteorological and (gaseous and particulate) air pollution conditions in the area, and the relations between them. Multivariate statistical techniques, such as Principal Component Analysis (PCA), have been applied to the data. The results show that air quality in the area is highly dependent on meteorological conditions such as wind persistence and direction, dispersion capability of the atmosphere, and humidity content. On average, sulphur dioxide and nitrogen oxide air pollution, mainly caused by fuel-oil combustion and traffic, respectively, is not very high. However, an important number of exceedences of the limits established by the EU Directive 1999 for PM10 (particulate matter with a diameter less than 10 μm) have been observed in some points of the area. A significant percentage of these exceedences (about 22% on average) are likely caused by African dust intrusions, which usually take place from May to August. From gaseous and particulate air correlations, it seems that anthropogenic activities contribute with about 19% on average.