典型装饰织物在不同氧浓度下热分析研究

人民生活水平的提高使人民对室内环境的舒适程度提出了更高要求 ,室内装饰织物的用量迅速增加 ,室内装饰织物在燃烧时会释放出大量有毒物质和热量 ,对人及环境构成了巨大危害。因此 ,研究装饰织物的燃烧特性非常重要。笔者利用热重 -差热 (TG -DTA)分析仪对纯棉、棉麻和腈纶这几种典型的装饰织物在不同的氧气浓度 (10 % ,15 % ,2 1% )和升温速率 (10K/min ,30K/min)条件下进行了热重分析 (TG)和差热分析 (DTA)实验 ,研究了它们的燃烧特性 ,并着重进行了不同氧浓度下的对比研究 ,发现试样的燃烧分为两个阶段。建立了以一级反应模型为主的动力学方程 ,并得出了各阶段的动力学参数、表观活化能和频率因子。     

隔震连续梁桥结构以位移为基础的抗震设计方法

笔者对隔震连续梁桥结构提出了一种以位移为基础的抗震设计方法 ,建立了设计位移反应谱 ,给出了设计步骤 ,该方法可对对称与非对称隔震连续梁桥结构采用相同的设计步骤进行基于位移的抗震设计 ,最后对设计算例用振型分析和非线性时程分析验证了设计结果的合理性     

对财务经济分析体系发展的初探

随着我国社会主义市场经济体制的建立和发展,企业将面临着一个日益完善的市场经济体系,这就要求企业的行为要更加规范。于是能够评价、分析企业盈利能力、生存能力、发展能力等各项指标的财务分析体系,就显得尤为重要了。本文主要从现行条件下财务分析体系入手,从财务分析体系的内容和发展前景两个方面,阐述了对财务分析体系发展的几点初步认识。     

池州生态经济示范区的生态旅游开发

池州市是中国第一个生态经济示范区,具有丰富的高品位的生态旅游资源,成为开展生态旅游的理想地区.首先对池州发展生态旅游进行了SWOT分析,然后对池州生态旅游开发项目与旅游线路进行了初步设计,最后提出了生态旅游开发措施.     

熵法估参在环境监测数据频率分析中的应用

以最大信息熵原理为理论基础的熵法估参方法，是一种具有严格物理和数学意义的新型参数估计方法，本文针对珠江广州河段主要污染物含量长年监测数据，对比熵法与传统方法矩法对四参数Г分布的估参结果，并以频率绝对离盖和最小为准则进行判定，结果表明，熵法估参结果与矩法总体上相当接近，且大部分样本的熵法估计参数优于矩法，在环境监测数据频率分析中具有实用性和推广价值。     

新疆草地资源特征与生态治理

从新疆草地资源发生条件分析其多样性,对草地退化进行了生态分析,提出了草地生态恢复的生态置换理论与实施方案。     

辽河三角洲土壤中石油类含量光谱分析初探

石油类物质对土壤的污染在油田区域内是一个普遍存在的问题。全面了解土壤中石油类物质含量是评价土壤石油污染的前提条件。对土壤石油污染评价的传统方法是在野外实地进行大量土壤采样,然后在试验室内分析石油类物质的含量。文中提出了利用少量野外土壤石油类物质样品,并结合野外光谱测量的方法对土壤中石油类物质进行分析的新方法。该方法应用于辽河三角洲,具有快速、省钱、省时、省力的特点,能对土壤中石油类物质含量进行宏观分析。满足了油田开发对土壤及环境污染评价的需要,并能为制定油田开发管理保护对策提供辅助信息。     

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.     

AN EVALUATION OF THE AVAILABLE TECHNIQUES FOR ESTIMATING MISSING FECAL COLIFORM DATA1

ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set.