腈纶粉尘对作业工人健康影响的调查

为探讨腈纶粉尘对作业工人健康的影响,对某腈纶厂毛条车间进行了劳动卫生学调查.该车间粉尘浓度为4.2(0.1～24)mg/m3,主要对接触人员上呼吸道和皮肤有刺激作用,同时导致肺通气功能受到明显损伤,部分工人胸部X线表现异常.提示车间环境中时间加权平均容许浓度超过2mg/m3、短时间接触容许浓度超过4mg/m3尘的卫生标准不能充分保护工人健康.     

Haloacetic acids in the aquatic environment. Part II: ecological risk assessment

Haloacetic acids (HAAs) are environmental contaminants found in aquatic ecosystems throughout the world as a result of both anthropogenic and natural production. The ecological risk posed by these compounds to organisms in freshwater environments, with a specific focus on aquatic macrophytes, was characterized. The plants evaluated were Lemna gibba, Myriophyllum spicatum and M. sibiricum and the HAAs screened were monochloroacetic acid (MCA), dichloroacetic acid (DCA), trichloroacetic acid (TCA), trifluoroacetic acid (TFA) and chlorodifluoroacetic acid (CDFA). Laboratory toxicity data formed the basis of the risk assessment, but field studies were also utilized. The estimated risk was calculated using hazard quotients (HQ), as well as effect measure distributions (EMD) in a modified probabilistic ecological risk assessment. EMDs were used to estimate HAA thresholds of toxicity for use in HQ assessments. This threshold was found to be a more sensitive measure of low toxicity than the no observed effect concentrations (NOEC) or the effective concentration (EC10). Using both deterministic and probabilistic methods, it was found that HAAs do not pose a significant risk to freshwater macrophytes at current environmental concentrations in Canada, Europe or Africa for both single compound and mixture exposures. Still, HAAs are generally found as mixtures and their potential interactions are not fully understood, rendering this phase of the assessment uncertain and justifying further effects characterization. TCA in some environments poses a slight risk to phytoplankton and future concentrations of TFA and CDFA are likely to increase due to their recalcitrant nature, warranting continued environmental surveillance of HAAs.     

“水解酸化—预曝气—人工湿地”处理生活污水的试验研究

试验研究了"水解酸化-预曝气-人工湿地"组合工艺对农村生活污水的处理效果,结果表明系统对COD、BOD5、TN、NH3-N、TP去除率分别为75%~85%8、8%~91%、54%~67%、75%~87%8、8%~94%。该工艺操作简易,处理效果好,符合村镇生活污水处理的需求。     

柱淋洗法修复铬污染土壤的效果研究

以铬渣污染土壤为供试土壤,采用土柱淋洗法研究柠檬酸、草酸和盐酸单一淋洗以及复合淋洗对铬去除动态和修复效果的影响,并对淋洗前后土壤中铬形态进行分析,探讨修复机理。结果表明,各淋洗方案中,以10体积0.5 mol/L草酸溶液为淋洗剂时的修复效果最好,总Cr累计淋出量为2 304 mg/kg,上层、中层和下层土壤总Cr去除率分别为79.6%、78.1%和69.6%,Cr(VI)去除率为87.8%、86.2%和75%,且土壤Cr(VI)和总Cr随着土壤深度的增加而升高,有在底部积累的可能;淋洗后土壤明显酸化,p H值从10.5降至3左右;以酸作为淋洗剂能有效降低土壤可氧化态铬含量,将其转化为移动性较强的酸可提取态,这有助于达到预期修复效果。     

汪清水库消险加固环境影响评价及对策

通过分析汪清水库工程的主要特征及施工期、运营期的环境影响因素,提出水库扩建工程在施工期和运营期的环评重点及相应的环境保护措施,保证各项措施的实施,以利于环保验收的顺利通过。     

基于AHP和模糊数学的滨海城市旅游生态环境评价——以青岛市为例

在分析青岛市旅游发展现状的基础上,选取生物多样性、旅游资源丰富度等共27个因子,构建区域旅游生态环境的评价体系,运用模糊数学方法和AHP法对各层指标进行权重计算,最后建立生态因数模型对青岛市所辖12个区市的旅游生态环境进行评价。结果表明:青岛市所辖区市可划分为四级旅游生态环境可持续发展程度类型区;在诸多评价因子中,以区域经济环境对旅游生态环境的贡献值最大,其次为生态环境各项因子。     

渤海海岸带(辽宁段)浮游生物状况分析

通过调查渤海海岸带的浮游生物的种类与分布 ,分析影响浮游生物的主要人为因素并提出相应建议     

区域农业循环经济发展评价及其优化调控——以扬州市邗江区为例

从经济发展、社会发展、资源减量投入、资源循环利用、资源环境安全5个方面构建评价指标体系,对2001～2005年邗江区的农业循环经济发展状况进行综合评价,并通过制约度计算,对限制邗江区农业循环经济发展的因素进行识别,研究结果表明：2002-2005年邗江区农业循环经济发展的主要制约因素是资源循环利用。进而探讨当前邗江区现代农业循环经济发展的优化调控建议。     

论聚烯烃裂解反应中的油化效果增强效应

在废旧聚烯烃的裂解反应中,聚丙烯的存在,可以提高轻油馏份的收率,增强反应的油化效果,本文称之为聚烯烃裂解反应的增强效应。本文讨论了增强效应产生的机理,可为废旧塑料裂解油化技术的研究和开发提供参考。     

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

IntroductionAnalyzing key factors of motorcycle accidents is an effective method to reduce fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining method to identify critical factors associated with injury severity. However, the existing studies have some limitations in applying ARM: (a) Most studies determined parameter thresholds of ARM subjectively, which lacks objectiveness and efficiency; (b) Most studies only listed rules with high parameter thresholds, while lacking in-depth analysis of multiple-item rules. Besides, the existing studies seldom conducted a spatial analysis of motorcycle accidents, which can provide intuitive suggestions for policymakers. Method: To address these limitations, this study proposes an ARM-based framework to identify critical factors related to motorcycle injury severity. A method for parameter optimization is proposed to objectively determine parameter thresholds in ARM. A method of factor extraction is proposed to identify individual key factors from 2-item rules and boosting factors from multiple-item rules. Geographic information system (GIS) is adopted to explore the spatial relationship between key factors and motorcycle injury severity. Results and conclusions: The framework is applied to a case study of motorcycle accidents in Victoria, Australia. Fifteen attributes are selected after data preprocessing. 0.03 and 0.7 are determined as the best thresholds of support and confidence in ARM. Five individual key factors and four boosting factors are identified to be related to fatal injury. Spatial analysis is conducted by GIS to present hot spots of motorcycle accidents. The proposed framework has been validated to have better performance on parameter optimization and rule analysis in ARM. Practical applications: The hot spots of motorcycle accidents related to fatal factors are presented in GIS maps. Policymakers can refer to those maps straightforwardly when decision making. This framework can be applied to various kinds of traffic accidents to improve the performance of severity analysis.