SUPPLEMENTATION OF MISSING VALUES IN WATER QUALITY DATA1

ABSTRACT The problem of estimating missing values in water quality data using linear interpolation and harmonic analysis is studied to see which one of these two methods yields better estimates for the missing values. The data used in this study consisted of midnight values of dissolved oxygen from the Ohio River collected over a period of one year at Stratton station. Various hypothetical cases of missing data are considered and the two methods of supplementing missing values are evaluated using statistical tests. The results indicate that when the percentage of missed data points exceeded ten percent of the total number in the original sample, harmonic analysis usually yielded better estimates for both the regularly and irregularly missed cases. For data that exhibit cyclic variation, examples of which are dissolved oxygen concentration and water temperature, harmonic analysis as a data generation technique appears to be superior to linear interpolation.     

SAMPLING CHARACTERISTICS OF MACROPHYTE BIOMASS1

ABSTRACT: This paper discusses the virtues of a stratified random system for sampling aquatic plant biomass. It also discusses factors which might be wed to stratify samples and it presents a case study of Lilly Lake, wisconsin, where a stratified random system reduced sampling efforts by about 37 percent.     

SOME FACTORS AFFECTING THE DETERMINATION OF PARTICULATE CARBON AND NITROGEN IN RIVER WATER1

The effect of storing samples prior to determination of particulate nitrogen and carbon concentrations were investigated. Freezing of water samples between collection and analysis has a substantial effect on the results obtained. Storage of samples at 5°C also affects the results, although the changes which occurred were generally less than for frozen samples. When the particulates were collected onto a filter immediately after sample collection and stored in that form until analysis only small changes in the results were observed. This suggests that samples for the determination of particulate nitrogen and carbon concentrations should be filtered immediately upon sample collection and the analysis performed as soon as possible.     

Determining short chain fatty acids in sewage sludge hydrolysate：A comparison of three analytical methods and investigation of sample storage effects

In anaerobic digestion, the production of short-chain fatty acids （SCFAs） can be beneficial or harmful to the overall process, depending on the concentration of accumulated acids. Therefore, the accurate determination of the SCFA concentration in both fresh and stored sludge hydrolysates is important. To select a suitable method for monitoring SCFAs during the anaerobic digestion of sewage sludge, the accuracy of three available analytical methods, including 5 pH point acid titration （TITRA5）, gas chromatography （GC）, and spectrophotometry, were compared in the present study. The results revealed that TITRA5 and GC displayed better agreement in the achieved measurements and higher precision and accuracy than the spectrophotometric assay, as supported by the application of different statistical models. TITRA5 excelled in titrating unfiltered hydrolysate while simultaneously measuring the alkalinity, whereas the GC method provided detailed information on the contribution of different fatty acids to the total acidity. In contrast, the spectrophotometric assay suffered from many forms of interference, depending on the sample＇s matrix. SCFA production followed the pattern of enzymatic reactions and fitted the Michaelis-Menten model. In addition to promoting TITRA5 as an accurate and robust analytical tool for routine SCFA analyses, this comparative study also demonstrated the possibility of storing hydrolysate samples at different temperatures and durations without altering the SCFA measurements.     

氨氮质量控制研究报告

通过对氨氮测试中的空白和标准样品的不同要求的测定,以及对实际样品的不同要求的测定,得出在不同要求下测试的真实测定结果。     

土壤中重金属测定前处理方法的对比研究

对土壤样品的前处理分别采用全自动样品消解仪及微波消解仪进行消解.按照国标法测定土壤样品中的铅、镉、铜、锌、镍、锰.根据消解情况及测定土壤中重金属含量对消解方法进行对比分析.结果显示采用全自动样品消解仪消解土壤样品,操作简单、方便,最大程度保障了实验人员的安全,并且消解效果良好,避免了土壤样品赶酸过程导致蒸干,重金属含量测定结果准确可信.微波消解法消耗的试剂量较少,样品受污染的风险小,引入的试剂误差小.     

利用小样本数据预处理技术提高效能指标精度

提出了运用熵值判别法和线性均方估计法来处理小样本数据的方法.熵值判别法是根据熵的上界对应最大的不确定度,利用所得数据的熵信息量判别数据是否含有粗大误差;线性均方估计消除粗大误差是一种采用软化的方法处理粗大误差.经过多次试验,结果表明这两种方法在处理小样本采样数据时能够有效地提高数据精度.     

全国土壤污染状况调查样品采集质量保证

土壤污染危害巨大,它直接关系到人体健康、生态安全和农业可持续发展。目前中国土壤污染状况形势严峻,对全国各地土壤污染状况进行调查是一件意义重大而且势在必行的事情。土壤样品采集是土壤污染状况调查工作的重要组成部分,所采集的样品的代表性直接关系到调查工作的成效。质量保证对数据的准确性、精密性、可靠性和代表性有着十分重要的意义,因此土壤样品采集过程中应严格按照质量保证程序进行全过程质量控制。     

环境内分泌干扰物前处理方法研究新进展

环境内分泌干扰物因其能够紊乱生物体正常内分泌功能而引起人们的广泛关注,然而内分泌干扰物在水环境中浓度极低,水体中复杂机质的干扰较大,在分析监测前一般要经过样品前处理过程,以起到富集痕量组分、消除基体干扰、提高方法灵敏度的作用。针对不同环境样品中内分泌干扰物的前处理方法不同,分别介绍了液体、固体或类固体环境样品的前处理技术,提出了各前处理方法的优缺点,总结并展望了环境内分泌干扰物样品前处理方法的发展方向。     

GM4供电设备对其观测质量的影响

电源的配备与选择对GM4磁通门磁力仪是非常重要的。本文主要对目前我国GM4磁通门磁力仪使用的各种电源设备,以及这些电源对观测数据的影响情况做了较为详细的对比和分析。认为使用市电和UPS方式作为GM4的电源是较为合适的选择。