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.     

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.     

暴雨后水库中铁、锰超标成因分析

以福建省某水库为例，对南方地区暴雨后水库中铁锰超标现象从外污染源、地下水、土壤、底质多方面进行了分析，找出了该类型水库中铁、锰超标的原因，并提出建议。     

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。     

广东省"十五"环境统计改革设想

在国家环保总局"十五"环境统计改革基础上,结合各省经验和广东省实际,提出了广东省环境统计改革设想,逐步实行季报、月报,并将环境统计、排污申报合二为一。     

我国非煤矿山安全生产的差距

从我国非煤矿山安全生产立法、安全生产管理体制、监察执法、群众监督、宣传教育、科研、矿山企业等方面与国外矿业进行了对比分析，分析了我国非煤矿山存在的问题以及与国外的差距，最后分析了产生问题与差距的原因。     

矿井重大灾害危险性评价的改进灰色统计法

用灰色统计理论［１］研究了矿井四大灾害即冒顶、水灾、火灾和瓦斯爆炸的危险性预评价问题，提出了一种新的评价方法──灰色统计综合法。同时，从应用的角度出发对灰色统计的算法作了改进，改进后的算法便于记忆和应用。     

INTEGRATED RIVER BASIN OPTIMIZATION: MODELING ECONOMIC AND HYDROLOGIC INTERDEPENDENCE1

ABSTRACT: This paper presents an integrated optimal control model that optimizes economic performance of reservoir management in watersheds in which there are significant economic and hydrologic interdependencies. The model is solved using the General Algebraic Modeling System (GAMS). Results show that application of this model to New Mexico's Rio Chama basin can increase total system benefits over historical benefits by exploiting complementarities between hydroelectricity production, instream recreation, and downstream lake recreation.