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.     

Competitive Retention of Lead and Cadmium on an Agricultural Soil

Lead and cadmium contamination of an agricultural soil has been studied using batch and column experiments. Thermodynamics of theretention phenomena may be represented by a Langmuir isotherm foran aqueous metal concentration up to 100 mg L^-1. First order kinetics with respect to the solid phase yield good predictabilityfor both batch and column experiments. Kinetics and thermodynamics of lead retention predominate over those ofcadmium. As a consequence, lead is preferentially retainedand can even displace sorbed cadmium. In the event of anspill involving both metals, cadmium would move further inthe soil and its aqueous concentration downstream could beeven higher than that of the influent solution, increasingpotential risks. A two-region model has been used to fit all the experimental results. Satisfactory predictions for column experiments are obtained with parameters which are consistent with those obtained for the batch experiments, for which sorption is described by a Langmuir isotherm including competitive retention.     

水环境数学模型在河流水质管理规划中的应用

本文讨论了水环境数学模型的选择及在水质管理规划中的使用方法,达到实用的目的.具有广泛的通用性和实用性.     

加强环境统计工作的几点建议

分析了当前环境统计工作中存在的一些问题,提出了对策和建设.     

高锰酸盐指数测定中校正系数K值的变化验证

运用数理统计方法,验证了高锰酸盐指数测定的校正系数K值在4～5h内不会随时间和水样的变化而变化,K值不必每个样品都测定。     

浅谈如何做好“十一五”环境统计工作

环境统计工作存在的问题：指标体系设置不合理、数据时效性差、数据质量不高、统计人员流动性大，采取的措施：精简完善指标体系、规范工作程序和审核办法、抓好统计范围、污染源监测及数据核查提高数据质量、加强统计队伍建设等。     

浅析环境统计工作中存在的问题及改进方法

针对环境统计存在的问题，分析产生的原因，并提出解决环境统计工作问题的方法。     

调引太湖水改善苏州市水动力条件研究

基于苏州地区独特的地理位置,简述引水改善该地区水环境的必要性,拟定了3种调水方案,利用感湖河网数学模型,对3种方案调水后主要河道的水动力条件进行预测,分析了各河道调水后的水动力变化趋势,提出了利用太湖水自流引水改善苏州市水环境的最佳方案.     

高强铝合金超塑挤压成形

主要介绍了工业牌号高强铝合金在供应态或经简单预处理后在通用油压机上超塑成形的实例,并分析探讨了非理想组织材料超塑成形中微观组织的变化。     

冷轧带钢在线磨辊辊面粗糙度的实验研究

对影响磨削辊面粗糙度的因素进行了系统分析和实验研究 ,得出了轧辊转速、砂轮速度、砂轮粒度、磨削液等因素对磨削辊面粗糙度影响的一般规律 ,利用回归分析的方法建立了粗糙度的数学模型