火电建设项目环境影响评价基础数据库建设方案与应用

针对火电建设项目环境影响评价的特点,提出了火电建设项目环境影响评价基础数据库的资料入库格式和内容要求。结合数据库的分类统计和GIS地理信息系统的空间分析功能,提出了基础数据库的数据处理与统计分析及数据库应用系统的建设方案,并得到初步应用。     

广州城市污泥中重金属的存在特征及其农用生态风险评价

分析了广州7种城市污泥中Zn、Cu、Pb、Cr、Mn、Ni的含量,研究了其中5种污泥中重金属的形态特征,并利用地累积指数（Igeo）和潜在生态危害指数法（RI）对污泥农用过程中重金属的潜在生态风险进行了综合性评价. 结果表明,广州不同来源城市污泥中Cu、Zn、Mn、Ni含量较高,变化幅度较大,而Pb、Cr含量较低. 除一种污泥中Cu超标外,其他重金属基本符合国家农用控制标准（GB18918-2002）,但所有污泥中重金属含量都超过珠江三角洲耕地土壤均值.不同重金属在不同污泥中的形态分布差异较大. 其中,含工业污水污泥中Cu、Cr还原态占很大的比例,Pb、Fe主要以还原态和残渣态存在;生活污水污泥中重金属主要以可氧化态和残渣态存在,酸可交换态中Mn的比例较高,易还原态中Zn的比例较高;5种污泥中Cu、Zn、Mn潜在迁移性最强.Igeo和RI评价结果表明,污泥中Cu、Zn、Mn是潜在的强生态风险元素,污泥在农用过程中具有一定生态风险性. Igeo和RI用于污泥农用过程中重金属的生态风险评价是可行的,与其它评价方法相比较, RI能更好地反映污泥中重金属对生态环境的综合影响.     

贵阳市城区路侧土壤重金属分布特征及污染评价

研究了贵阳市城区各交通干线两侧表层土壤中重金属的质量分数、空间分布特征及其影响因素.以基线作为参比值,采用地积累指数法对其污染程度进行评价.结果表明:各交通干道两侧土壤中重金属质量分数存在显著差异,除Pb和Cr外,其余重金属质量分数均高于中国表层土壤重金属元素背景值和贵阳市表层土壤重金属元素基线值. 整体上,贵阳市路侧土壤尚未受到Pb和Cr的污染,其w(Hg),w(Cd)和w(Zn)已达中度污染甚至强污染水平,同时各路段也受到了不同程度的As,Cu和Ni污染,但并不严重. 据调查,路侧土壤中重金属质量分数及其分布格局主要受到燃煤、交通运输、地形及路况、气象因素以及城市建设等的影响.      

典型行业再利用土壤重金属含量分布、来源解析及生态风险评价

为深入探究典型行业再利用土壤重金属污染特征及生态风险状况,基于上海市嘉定区49个地块315个不同深度剖面土壤样品数据,采用地累积指数和潜在生态风险指数评估Cd、Pb、Cu、Zn、Ni、Hg和As这7种重金属含量特征和潜在生态风险程度,并利用源解析受体模型（APCS-MLR）和正定矩阵因子分解模型（PMF）解析其污染来源.结果表明：①研究区土壤中除As外,其余重金属均不同程度超过上海市土壤背景值,表层土壤中Cd、Pb、Cu、Zn、Ni和Hg含量分别是背景值的3.54、2.34、2.91、1.20、3.75和4.40倍;7种重金属含量随着土壤垂直剖面深度的增加逐渐降低,重金属在表层土壤中存在一定程度的富集,人类活动影响了重金属在土壤中的分布规律.②研究区内APCS-MLR和PMF两种受体模型均识别出土壤重金属4种主要来源,源1（Cu、Zn和Pb）为金属制品和汽车制造混合源,源2（Ni和Cd）为电镀企业来源,源3（Hg）主要为化工企业来源,源4（As）为自然源,两种受体模型结合运用,进一步提高源解析的精准度和可信度.③地累积指数由大到小表现为：Hg（1.54）>Ni（1.32）>Cd（1.21）>Cu（0.96）>Pb（0.64）>Zn（-0.33）>As（-1.02）;潜在生态风险指数结果显示,研究区综合潜在生态风险指数RI值在32.50~4 910.97,均值为321.40,整体呈现较强潜在生态风险,再开发利用工业场地土壤中重金属Hg、Ni和Cd的污染值得进一步关注.     

沂河4条支流浮游植物多样性季节动态与水质评价

2006年11月—2007年8月对沂河4条支流水体浮游植物展开调查. 结果表明:东汶河、蒙河、涑河和柳青河内检测到的浮游植物分别为75,67,70和80种,浮游植物种类组成和细胞密度季节变化明显. 东汶河、蒙河、涑河和柳青河水体浮游植物Shannon-Wiener指数分别为2.97～3.96,3.05～3.35,2.86～4.02和1.74～2.89;Margalef指数分别为2.92～4.42,2.44～4.03,3.07～5.38和1.23～2.76;Pielou指数分别为0.78～0.92,0.71～0.94,0.73～0.89和0.48～0.90. 4条支流的细胞密度分别为1.54×107～5.69×107,0.28×107～12.64×107,0.97×107～3.19×107和4.17×107～9.96×107 L-1. 综合水质评价结果:东汶河和蒙河为β-中污型—寡污型,涑河为β-中污型—清洁型,柳青河为α-中污型—β-中污型. 水质从优至劣排序为涑河＞东汶河＞蒙河＞柳青河. 东汶河和涑河为温度制约型,蒙河和柳青河为温度和营养盐制约型.      

高压输电线路的工频电磁场对环境的影响分析及对策建议

依据《500kV超高压送变电工程电磁辐射环境影响评价技术规范》（HJ/T24-1998）中的预测模式,分析不同技术参数对输电线路周围环境工频电磁场强度的影响,并有针对性地提出减少输电线路对周围环境影响的环境保护措施及优化输电线路的架设方式。     

Effect of Sweating on Insulation of Footwear

The study aimed to find out the influence of sweating on footwear insulation with a thermal foot model. Simultaneously, the influence of applied weight (35 kg), sock, and steel toe cap were studied. Water to 3 sweat glands was supplied with a pump at the rate of 10 g/hr in total. Four models of boots with steel toe caps were tested. The same models were manufactured also without steel toe. Sweating reduced footwear insulation 19–25% (30–37% in toes). During static conditions, only a minimal amount of sweat evaporated from boots. Weight affected sole insulation: Reduction depended on compressibility of sole material. The influence of steel toe varied with insulation. The method of thermal foot model appears to be a practical tool for footwear evaluation.     

Determination of Heat Loss from the Feet and Insulation of the Footwear

This study compared the methods of determining footwear insulation on human participants and a thermal foot model. Another purpose was to find the minimal number of measurement points on the human foot that is needed for insulation calculation. A bare foot was tested at 3 ambient temperatures on 6 participants. Three types of footwear were tested on 2 participants. The mean insulation for a bare foot obtained on the participant and model were similar. The insulation of warm footwear measured by the 2 methods was also similar. For thin footwear the insulation values from the participants were higher than those from the thermal model. The differences could be related to undefined physiological factors. Two points on the foot can be enough to measure the insulation of footwear on human participants (r = .98). However, due to the big individual differences of humans, and good repeatability and simplicity of thermal foot method, the latter should be preferred for testing.     

A Comparison of Two Methods of Determining Thermal Properties of Footwear

The present European Standard for footwear testing (Standard No. EN 344:1992; European Committee for Standardization [CEN], 1992) classifies footwear thermally by a temperature drop inside the footwear during 30 min at defined conditions. Today, other methods for footwear thermal testing are also available. The aim of this study was to compare EN 344:1992 with a thermal foot method. Six boots were tested according to both methods. Additional tests with modified standard tests were also carried out. The methods ranked the footwear in a similar way. However, the test according to standard EN 344:1992 is a pass-or-fail test, whereas data that is gained from the thermal foot method gives more information and allows further use in research and product development. A change of the present standard method is suggested.     

An Evaluation of the NIOSH Lifting Equation: A Psychophysical and Biomechanical Investigation

Using the results of psychophysical and biomechanical experiments, NIOSH (National Institute for Occupational Safety and Health) Recommended Weight Limit (RWL), the Lifting Index (LI), the form of the asymmetry multiplier, and the criterion for compression force were investigated. Analysis of the results indicated a significant difference between the NIOSH RWL and the reported Maximum Acceptable Weight of Lift (MAWL). Contrary to the NIOSH lifting equation, the form of the asymmetry multiplier was found to be non-linear. The overall average of peak compression force on the L5/S1 was 3685 N. Fifty-eight percent of all compression forces reported in the biomechanical experiment were found to exceed the suggested 3400 N set by NIOSH guidelines. These results support previous research findings on the validity of NIOSH guidelines.