消油剂乳化率检验中标准曲线的选择

本文经过比实验，详细研究了添加双象１号消油剂对原油标线的影响，并对乳化率检验中的两种标准曲线进行了统计检验。结果表明：不添加消油剂制作的原油标线可使乳化率结果降低１￣３％左右，甚至个别消油剂的乳化率结果可相差２０％左右，两条标线的统计差异非常显著。所以制作标准曲线时必须按比例添加消测剂才能确保执法数据的可靠性。     

垃圾填埋场内部CH4浓度随时间的变化特征及其模拟

通过对佛山市五峰垃圾填埋场内部部分时段CH4浓度的监测 ,分析了在填埋场内部垃圾发酵过程中CH4浓度随时间的动态变化特征 ,提出了利用某些统计曲线分别模拟或综合模拟CH4浓度随时间的变化过程的方法 .应用表明 ,本方法可以较准确地预测垃圾发酵主要时段内的CH4浓度随时间的变化 ,仅在垃圾发酵的尾声阶段 ,模拟浓度与实测浓度有少许出入 .     

难降解有机物标准溶液的研制

介绍了难降解有机物标准溶液研究、制备方法，进行了均匀性检验、稳定性检验，统计计算了检验结果，基本确定主要参数。检验结果表明： 按该法配制的标准溶液均匀，在一年保存期间内稳定，标准溶液符合国家标准，可用于海洋环境监测。     

过去50年中国森林资源和降水变化的统计分析

论文对过去50年中国森林资源和降水变化进行了统计分析，以期在大尺度上寻找森林资源与降水变化之间的关系。主要结论为：①建国以来我国的森林覆盖率呈上升趋势；②过去50年全国、林区、非林区降水量均呈减少趋势，干旱化趋势明显；③对建国后历次森林资源调查（清查）时段内降水差值（以百分数为单位）、森林覆盖率（以相邻两次变化百分数为单位）变化关系的分析表明，二者的统计关系并不显著，即：过去50年我国森林资源的变化对降水没有显著的影响；④森林影响降水是一个复杂的系统问题，该研究还存在着许多不确定性因素，需进一步实验验证与理论探讨。     

四川石油天然气工业环境统计体系现状分析及改进对策

针对四川石油天然气工业环境统计中存在的非稳定污染源监测数据的统计价值不高，统计调查方法单一，个别统计指标计算未使用国家统一标准等现状，从环境监测站改组入手，改革统计调查方法，建立以必要的周期性普查为基础，以经常性的抽样调查为主体，同时辅之以全面统计报表，重点调查和科学推算综合运用的统计调查方法体系。     

模糊集值统计法在煤矿安全评价指标权值中的应用

应用模糊集值统计的理论 ,对煤矿安全评价中具有随机性和模糊性的指标进行数学分析 ,进一步改进了其权值的确定方法 ,使其更加符合实际情况 ,并对由此得出的权值进行了可靠性分析。通过实例表明 ,该方法克服了经典统计法的不足 ,提高了煤矿安全评价的实用性和科学性     

NITRATE CONCENTRATIONS IN ILLINOIS RIVERS 1967 TO 1974: COMPARISON AMONG REPORTING AGENCIES1

ABSTRACT: Long term data on surface water quality can sometimes be assembled by combining data collected by different agencies at different times and assuming that between agency differences in data quality are insignificant. The objective of this paper was to assess the quality of riverine nitrate (NO₃) concentrations in Illinois measured and reported by four agencies from 1967 to 1974 by comparing median values for similar sampling locations and periods. A total of 17 river reaches were identified for which two agencies reported NO₃ concentrations during similar periods. Nonparametric comparison of median values and analysis of covariance with discharge as a covariant produced similar results. Nitrate concentrations reported by the U.S. Geological Survey (USGS) from 1967 to 1971 were not statistically (P > 0.05) different from values reported by the Illinois State Water Survey (ISWS) for two of three river reaches. Additionally, NO₃ concentrations reported by USGS from 1972 to 1974 were not statistically different than concentrations reported by the Illinois Environmental Protection Agency (IEPA) for four of five river reaches. From 1969 to 1971, NO₃ concentrations reported by the Illinois Department of Public Heath and the Illinois Environmental Protection Agency (IDPH/IEPA) were less than one‐fourth the magnitude of values reported by ISWS. The median NO₃ concentrations measured by the Central Illinois Public Service (CIPS) were significantly greater than those measured by USGS and IDPH/IEPA in the three comparable sampling locations. The use of NO₃ concentrations measured by CIPS and IDPH/IEPA prior to 1972 is not recommended.     

TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.     

地下水水质评价的多元线性回归分析模型研究

运用回归分析理论和方法,建立了一个基于多元线性回归分析法的地下水水质评价模型,并将该模型用于遵义市海龙坝地下水水质评价.结果表明,建立的模型较符合本研究区的实际情况.     

PREDICTING FECAL COLIFORM BACTERIA LEVELS IN THE CHARLES RIVER,MASSACHUSETTS, USA1

In Massachusetts, the Charles River Watershed Association conducts a regular water quality monitoring and public notification program in the Charles River Basin during the recreational season to inform users of the river's health. This program has relied on laboratory analyses of river samples for fecal coliform bacteria levels, however, results are not available until at least 24 hours after sampling. To avoid the need for laboratory analyses, ordinary least squares (OLS) and logistic regression models were developed to predict fecal coliform bacteria concentrations and the probabilities of exceeding the Massachusetts secondary contact recreation standard for bacteria based on meteorological conditions and streamflow. The OLS models resulted in adjusted R²s ranging from 50 to 60 percent. An uncertainty analysis reveals that of the total variability of fecal coliform bacteria concentrations, 45 percent is explained by the OLS regression model, 15 percent is explained by both measurement and space sampling error, and 40 percent is explained by time sampling error. Higher accuracy in future bacteria forecasting models would likely result from reductions in laboratory measurement errors and improved sampling designs.