SELECTING TREND TESTS FOR WATER QUALITY SERIES WITH SERIAL CORRELATION AND MISSING VALUES1

ABSTRACT: The use of nonparametric tests for monotonic trend has flourished in recent years to support routine water quality data analyses. The validity of an assumption of independent, identically distributed error terms is an important concern in selecting the appropriate nonparametric test, as is the presence of missing values. Decision rules are needed for choosing between alternative tests and for deciding whether and how to pre-process data before trend testing. Several data pre-processing procedures in conjunction with the Mann-Kendall tau and the Seasonal Kendall test (with and without serial correlation correction) are evaluated using synthetic time series with generated serial correlation and missing data. A composite test (pre-testing for serial correlation followed by one of two trend tests) is evaluated and was found to perform satisfactorily.     

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.     

Selecting Socio-Economic Metrics for Watershed Management

The selection of social and economic metrics to document baseline conditions and analyze the dynamic relationships between ecosystems and human communities are important decisions for scientists, managers, and watershed citizens. A large variety of social and economic data is available but these have limited use without theoretical frameworks. In this paper, several frameworks for reviewing social-ecosystem relations are offered, namely social sanctions, sense of place, civic structure, and cultural differences. Underlying all of these frameworks are attitudes, beliefs, values, and norms that affect which questions are asked and which indicators are chosen. Much work and significant challenges remain in developing a standard set of spatially based socio-economic metrics for watershed management.     

Monitoring of Seasonal Vegetables for Pesticide Residues

Market samples (60) of six seasonal vegetables were monitoredduring 1996–1997 to determine the magnitude of pesticidalcontamination. The estimation of insecticide residuesrepresenting four major chemical groups i.e. organochlorine,organophosphorous, synthetic pyrethroid and carbamate, was doneby adopting a multiresidue analytical technique employingGC-ECD and GC-NPD systems with capillary columns. The testedsamples showed 100% contamination with low but measurableamounts of residues. Among the four chemical groups, theorganophosphates were dominant followed by organochlorines,synthetic pyrethroids and carbamates. About 23% of the samplesshowed contamination with organophosphorous compounds abovetheir respective MRL values. More extensive studies coveringdifferent regions of Haryana state are suggested to get a clearidea of the magnitude of vegetable contamination with pesticideresidues.     

对大气采样误差的理论研究

环境监测数据是环境保护工作的基础,监测仪器设备的精良及监测方法的科学性则是获得优质数据的保障工具.本文运用数学方法对目前广泛使用的采样仪器进行了采样误差的分析研究,指出了改善仪器和改善监测方法去获取更精确数据的途径.     

催化快速法测定COD_(Cr)定量下限的研究

催化快速法测定CODCr是我国目前环境监测中普遍使用的最快速、简便、可靠的方法 ,该法的检测范围是 60～ 1 0 0 0mg/l,我们经过研究测出催化快速法的定量下限为 1 0mg/l,扩大了该法的应用范围。     

大型车车身覆盖件冲压成形特征分析及选材研究

为满足大型车身覆盖件冲压成形要求并实现钢板与零件的对路供应 ,必须在深入解析零件成形特征的基础上 ,确定高应变部位的成形敏感材料参数。在材料力学性能测试和成形极限分析的基础上 ,对侧围外板的冲压成形特征和成形敏感参数进行了分析。结果表明 :侧围外板零件高应变部位的变形方式为胀形 深拉延变形 ,n值和r值为影响侧围外板零件成形的主要材料敏感参数     

环境价值的循环模式初探

环境污染对环境产生的负价值与环境保护对环境产生的正价值相互作用、相互抵消的运动过程，体现了环境整体价值在人类经济社会活动影响下的具体演化模式。文章探讨了环境价值的循环途径、环境资源价值的模型，并对模型进行了具体分析，以期帮助人们提高对环境价值的认识。     

一种预测左半部成形极限图的简单方法

板材成形性能的评价一般基于成形极限图(FLD)。然而，无论是经由理论计算还是实验方法来获得成形极限图依然很困难而且很耗时。提出了一种预测深拉延部分成形极限图的新方法。假设对所有钢板来说其成形极限图的形状几乎都是一样的，而深拉延变形区域内其失效厚度应变也几乎一样，据此可利用体积不变原理推导出主应变和次应变之间的关系。结果表明，根据此方法计算的左半侧(拉深应变区)成形极限图与实验获得的FLD基本一致。     

关于小于检出限监测结果表示方法的探讨

在环境监测中，在上报结果小于检出限时，以“未检出”、“零”、“无”或“０００…ｎ”等来表示都是不妥当的，会给环境管理和数据使用带来不良影响，甚至会误导出错误的结论。对于此类结果，应以“小于检出限”表示为好。