[HgI4-(R6G)2]n体系的共振散射光谱法测定微量汞(Ⅱ)的研究

在pH值=4.0的条件下,Hg2 ,I-与罗丹明6G(R6G)形成三元离子缔合物.由于HgI4(R6G)2分子间存在较强的分子间作用力和疏水作用力而生成[HgI4-(R6G)2]n纳米微粒.在320 nm处产生一灵敏共振散射(即共振瑞利散射)光谱峰.Hg质量浓度在0.004～0.36 mg·L-1范围内与共振散射光强度呈现出良好线性关系.实验结果表明,本法具有灵敏度较高、选择性较好等特点.用于水样中微量Hg的测定,效果良好.     

Prenatal diagnosis of mucopolysaccharidosis I: A special difficulty arising from an unusually low enzyme activity in mother's cells

We investigated a case (1.1.) of the severe form of mucopolysaccharidosis I (Hurler syndrome). Prenatal diagnosis was requested by the parents and the next pregnancy was monitored. We report here a special difficulty arising in this diagnosis due to the low enzyme activity in the mother's cells (10–15 per cent of controls) as well as in amniotic cells and would like to stress the need for studying the index case as well as the parents' enzyme activities in order to be prepared for possible difficulties at prenatal analysis.     

γ-FeOOH-草酸系统中橙黄I的光化学脱色

以8 W黑光灯为光源,γ-FeOOH为催化剂,加入草酸构成光化学Fenton体系,研究了这一体系中橙黄Ⅰ的光化学脱色动力学;考察了橙黄Ⅰ的初始浓度、初始pH值和草酸初始浓度对橙黄Ⅰ光化学脱色降解的影响.结果表明,草酸能显著促进橙黄Ⅰ的脱色与降解,橙黄Ⅰ光化学脱色一级动力学常数随草酸浓度的增大呈先升后降的趋势,最佳草酸初始浓度为1.8 mmol·L-1;溶液pH值的变化也显著影响橙黄Ⅰ的脱色.光化学反应过程中Fe2+和总Fe的浓度也随草酸浓度与反应时间的变化而变化.     

Prenatal diagnosis of distal arthrogryposis type I by ultrasonography

Two consecutive pregnancies in a woman with initially undiagnosed type I distal arthrogryposis (DA) are reported. A prenatal diagnosis of the condition was made by ultrasound in the 17th week of gestation in one of the pregnancies, whereas in the subsequent pregnancy the disorder was excluded as early as 13 weeks' gestation. The diagnoses were verified at birth. The feasibility of prenatal diagnosis of DA type I in the second trimester is thus confirmed and its possibility in the late first trimester is suggested.     

铜酞菁类直接染料的无盐工艺

对C．I．直接蓝86和C．I．直接蓝199两种染料生产工艺进行了改进，86号直接蓝的生产用两次沉降取代了两次盐析。在199号直接蓝的氯磺酰化反应中，铜酞菁与氯磺酸的质量比由原来的1：8．67降至1：6．00，氨解后的浆料不经盐析直接进行真空干燥，工业废水中既不含盐，废酸浓度池低，无盐工艺的采用使污水的治理得到了简化。     

A Bayesian approach to evaluating site impairment

In the United States, each state is required to list water resources that are declared to be impaired under guidelines set by the Clean Water Act. Measurements are typically collected on a number of chemical constituents and compared with a standard. If there are too many measurements exceeding the standard, then the site is declared impaired. The approach is non-statistical but similar to a Binomial test. The Binomial approach would convert the measurements to binary data then test if the proportion exceeding the standard is excessive. Both methods convert measurements to binary values hence exclude potentially important information in the data. We present a statistical approach using a Bayesian model that uses the raw data instead of the binary transformed data. The population distribution of a family of location-scale parameter models is studied under the model. Posterior distributions from the Bayesian analysis are used in the decision-making process and error probabilities for the Bayesian and the Binomial approaches are compared for a normal population.     

Influences of accumulated mileage and technological changes on emissions of regulated pollutants from gasoline passenger vehicles

In this study, the influences of accumulated mileage(deterioration) and technological changes(emission standards) on emission factors(EFs) of regulated pollutants(CO, HC, and NO_x) from gasoline passenger vehicles were investigated based on Inspection and Maintenance(I/M) data using the chassis dynamometer method. The accumulated mileage of passenger vehicles was significantly linearly correlated with vehicle age. For most cases,the average EFs of CO, HC and NO_x were significantly linearly correlated with accumulated mileage, indicating that emission deterioration had a significant impact on pollutant EFs.Implemented emission standards markedly influenced the EFs of regulated pollutants, and EFs markedly decreased with progressing emission standards. The present study also compared EFs of regulated pollutants between this study and the International vehicle emission(IVE) model, and marked differences in EFs were seen with variations in emission standards, vehicle types and accumulated mileage; NO_x EFs in this study were higher than in the IVE model. The results provide new insight into estimating regulated pollutant emissions using the IVE model.     

ECONOMIC FORECASTING FOR VIRGINIA'S WATER RESOURCE PROGRAMS1

ABSTRACT: Water resource and water quality management planning depend, to a large degree, on forecasts of industrial activity and population projections. A flexible economic data base is especially important where planning follows varying formats of geographical and industrial detail. Records of employment and payroll are collected in the administration of Unemployment Insurance (U.I.) programs and are available from State Employment Agencies. These statistics have been collected over a long period of record (thirty-five years). Many years of record are available on punched-cards or magnetic tape and may be arrayed and manipulated by computer. This basic approach has been followed in Virginia. Historical U.I. payroll and employment records for the period 1956 through 1970 were procured on magnetic tape. This data was arrayed by major hydrologic area and by regional planning district. Projections of manufacturing activity were then generated by fitting several exponential equations to annual payroll data in two-digit Standard Industrial Classifications. These exponentials were then extrapolated to provide a range of industrial projections. Other parameters of manufacturing activity were then correlated to the payroll data to generate projections of indexes such as employment, value-added, and gross manufacturing output. U.I. payroll data is now being correlated to parameters in non-manufacturing categories. Projections for industries such as trade and services will link extrapolated payroll data with benchmark correlations of payroll and sales receipts.     

模拟气候变化对沈阳城市树木光合固碳能力的影响

以生长在沈阳市区内的银杏为试材,使用开顶箱模拟法对倍增CO2浓度（700μmol/mo）l和正常空气CO2浓度（≈350μmol/mo）l条件下,银杏生长参数、叶面积指数、不同天气中净光合速率日变化进行了初步研究,探讨了高浓度CO2对单株银杏光合固碳能力的影响。结果表明：CO2浓度增高可以显著提高银杏枝条的生长量和银杏的叶面积指数。经高浓度CO2处理后,银杏不同天气下光合速率日变化趋势与对照一致,即晴天为双峰曲线,多云天气为单峰曲线,但净光合速率显著高于对照（P〈0.001）。由于净光合速率和叶面积指数升高,高浓度CO2也显著提高了单株银杏的固碳释氧能力（P〈0.01）,晴天比对照提高了119.5%,阴天提高了175.4%。     

Invasion, Disturbance, and Competition: Modeling the Fate of Coastal Plant Populations

Abstract:  Wetland habitats are besieged by biotic and abiotic disturbances such as invasive species, hurricanes, habitat fragmentation, and salinization. Predicting how these factors will alter local population dynamics and community structure is a monumental challenge. By examining ecologically similar congeners, such as Iris hexagona and I. pseudacorus (which reproduce clonally and sexually and tolerate a wide range of environmental conditions), one can identify life-history traits that are most influential to population growth and viability. We combined empirical data and stage-structured matrix models to investigate the demographic responses of native ( I. hexagona ) and invasive ( I. pseudacorus ) plant populations to hurricanes and salinity stress in freshwater and brackish wetlands. In our models I. hexagona and I. pseudacorus responded differently to salinity stress, and species coexistence was rare. In 82% of computer simulations of freshwater marsh, invasive iris populations excluded the native species within 50 years, whereas native populations excluded the invasive species in 99% of the simulations in brackish marsh. The occurrence of hurricanes allowed the species to coexist, and species persistence was determined by the length of time it took the ecosystem to recover. Rapid recovery (2 years) favored the invasive species, whereas gradual recovery (30 years) favored the native species. Little is known about the effects of hurricanes on competitive interactions between native and invasive plant species in marsh ecosystems. Our models contribute new insight into the relationship between environmental disturbance and invasion and demonstrate how influential abiotic factors such as climate change will be in determining interspecific interactions.