上海地区二氧化硫浓度和风速的统计关系

应用上海市1986年6月至1987年5月间5个自动监测站的全年每日逐时SO_2浓度平均值和同步的风速平均值资料,按季进行比较、归纳,得到风速—SO_2浓度的诊断判据,并利用1984年全年的相应资料进行验证,准确率达85％;得到了各季浓度—风速的回归方程,和浓度—风速、温差的二元回归方程、复相关系数。     

The epidemic characteristics of Kaschin-Beck disease (KBD) in different eco-environments

Epidemiological survey of 573 families, clinical examination of 2593 persons, and X-ray examination of 1136 persons (in 16 typical endemic villages) were conducted, based on the classification of endemiology for KBD disease areas, i.e, mountain type, loess plateau type, plateau type, and flatlands type. It was revealed that the KBD disease areas exhibited the regular pattern of corming-into-being, development and passing-away and the characteristics of growth and decline. Further, it was found clinically that the disease areas may be divided into 4 types, i.e., recent onset, developing, stable, and historical. This division is simple and easy, practical, scientific, and reliable and can be applied by medical personnel at different levels.     

新疆D矿田金矿资源定量评价

本文在建立D矿田找矿信息层次模型基础上,确定矿田统计单元划分和地质变量提取的赋值原则,将该矿田划分出466个统计单元,提取25个地质变量并进行二态赋值,而后应用数量化理论Ⅲ。特征分析法及勃尔法等方法,建立了矿田金矿资源定量评价模型,定位预测了45个勘探靶区。     

温度、盐度、铜、氨对对虾仔虾(Penaues orientalis K)和光滑河兰蛤(Potamocorbula laevis)的影响

在室内模拟条件下,进行了热冲击及其与盐度、铜、氨联合对对虾仔虾和光滑河兰蛤的急性影响研究。结果表明,两种动物的起始致死温度(TL₅₀)和最高临界温度(CTM)随驯化温度的升高而增大;随盐度的降低,仔虾的耐高温能力明显降低,而兰蛤对盐度变化反应不明显;高温明显提高铜、氨对仔虾的毒性。也提高铜对兰蛤的毒性,但降低氨对兰蛤的毒性影响。仔虾对高温、低盐、铜离子及非离子氨反应敏感。     

Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong

As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NO_x and NO₂ are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NO_x and NO₂ concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NO_x and NO₂ concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods.     

Determination of organophosphorus pesticides and related compounds in water samples by membrane extraction and gas chromatography

A membrane extraction-gas chromatography method was developed fordetermination of organophosphorus pesticides and related compounds including methamidophos, DDVP, dimethoate, methyl parathion, parathion, thiophosphoric acid trimethyl ester, and thiophosphoramidic acid dimethyl ester in water samples. In thismethod, surface-modified acetic cellulose membranes were used to extract the target analytes in water samples, the extracted analytes were back-extracted into a small amount of methanol, andgas chromatography with pulsed flame photometric detector (GC-PFPD) was used to determine the concentrations of targetanalytes in the extracts. The recoveries obtained for thetarget analytes spiked into the water samples ranged from 66to 94%. The method detection limit for each target analyte was 0.05 g L^-1. The method developed in this study had shown the advantages of being cheap, simple, fast, and reliable. It had been used successfully to determine the concentrations of target analytes in river water samples.     

燃放烟花爆竹对城区和背景点气溶胶中高氯酸盐的污染研究

除夕夜至大年初一零时前后,是燃放烟花爆竹最多最集中的时段。作者分别同步采集了2007年春节期间在城区和环境背景点的大气气溶胶粗、细颗粒物样品,并对其中的高氯酸盐进行了比较研究。结果显示,燃放烟花爆竹时产生的高氯酸盐对大气气溶胶产生了非常严重的污染。城区气溶胶粗颗粒中的高氯酸盐较非燃放期平均值(2.154ng/m3)上升1 718.01%;细颗粒中的高氯酸盐较非燃放期平均值(1.640 ng/m3)上升503.04%。在环境背景点气溶胶粗颗粒中的高氯酸盐较非燃放期的平均值(0.653 ng/m3)上升了425.25%;细颗粒中的高氯酸盐较非燃放期平均值(0.317 ng/m3)上升了1 467.82%。     

减排监测体系建设存在的问题与对策

对全国减排监测体系建设的现状进行了较详尽的分析,指出减排监测体系建设中主要存在管理体制不顺、自动监控管理不到位、资金投入不畅等问题,并针对这些问题提出了相应的对策。     

成都府南河叶绿素a和氮、磷的分布特征与富营养化研究

通过对成都市府南河上中下游共21个断面叶绿素a和总溶解态氮(TDN)、总溶解态磷(TDP)含量的测定,绘制时空分布图,并应用SPSS 13.0统计软件分析了3个指标之间的相关性,初步评价了府南河的富营养化状况。结果表明,府南河叶绿素a含量不高,磷污染较为严重;相关性分析显示叶绿素a和TDP含量呈显著正相关关系,氮是河水富营养化的主要限制因子;按照叶绿素a的含量判定府南河基本属于贫营养化型,但按照氮、磷含量评价已达到富营养化水平。这对评价城市河流的富营养化状态及生态环境整治和恢复有着积极意义。     

湿法烟气脱硫添加剂的试验研究

采用我校自主设计研制的水浴脱硫设备,以石灰石为脱硫剂,通过模拟烟气净化冷态模型试验研究了甲酸,乙酸,已二酸,草酸作为有机添加剂对湿法烟气脱硫的影响,并讨论了其机理.试验结果表明,有机酸添加剂能减缓脱硫液pH值的降低过程,能在较低的pH值时得到较高的脱硫率.实验结果为有机添加剂在湿法脱硫中的应用提供了理论依据.