三种常用氨基甲酸酯类农药人工抗原合成方法的设计与优选

农药人工抗原的合成直接影响制备抗体的质量,是建立农药分子特异性强、灵敏度高的免疫分析方法的关键。本文综述了国内外对于氨基甲酸酯类广泛使用的3种农药甲萘威、克百威、涕灭威人工抗原合成过程中的农药分子半抗原的设计原则、合成方法,人工抗原的设计、优选及影响因素等方面的研究进展。     

人工增雨指挥系统构建与研究

为增加有效降水,降低干旱和雾霾等环境污染的影响,保护生态环境安全,研制了以提高开发空中水资源能力为主要目的、基于GIS技术的人工增雨作业决策指挥系统,依托新一代多普勒天气雷达、Micaps数据资料和自动站数据库,应用Microsoft C#语言开发了增雨作业预警和指挥功能、指挥信息和作业信息收集互传功能、增雨效果评估功能、常规业务管理功能,构建了功能较为完善的业务系统。     

秦皇岛地区干旱趋势分析及人工增雨条件

通过分析秦皇岛地区水资源及人均占有率、气候干旱化之现状及秦皇岛地区降水的特点,发现秦皇岛降水有明显日变化特征（凌晨1～2时和傍晚17～18时降水量较大）。从化学制剂的选择、碘化银成核环境确定、积云增雨的高度判断三个方面提出了人工增雨作业条件,在作业实践中取得了良好效果。     

Winter Hydrology and NO3− Concentrations in a Forested Watershed: A Detailed Field Study in the Adirondack Mountains of New York1

Abstract: More than 85% of NO₃^? losses from watersheds in the northeastern United States are exported during winter months (October 1 to May 30). Interannual variability in NO₃^? loads to individual streams is closely related to interannual climatic variations, particularly during the winter. The objective of our study was to understand how climatic and hydrogeological factors influence NO₃^? dynamics in small watersheds during the winter. Physical parameters including snow depth, soil temperature, stream discharge, and water table elevation were monitored during the 2007‐2008 winter in two small catchments in the Adirondack Mountains, New York State. Snowpack persisted from mid‐December to mid‐April, insulating soils such that only two isolated instances of soil frost were observed during the study period. NO₃^? export during a mid‐winter rain‐on‐snowmelt event comprised between 8 and 16% of the total stream NO₃^? load for the four‐month winter study period. This can be compared with the NO₃^? exported during the final spring melt, which comprised between 38 and 45% of the total four‐month winter NO₃^? load. Our findings indicate that minor melt events were detectable with changes in soil temperature, streamflow, groundwater level, and snow depth. But, based on loading, these events were relatively minor contributors to winter NO₃^? loss. A warmer climate and fluctuating snowpack may result in more major mid‐winter melt events and greater NO₃^? export to surface waters.     

Assessing Linkages in Stream Habitat,Geomorphic Condition,and Biological Integrity Using a Generalized Regression Neural Network

Watershed managers often use physical geomorphic and habitat assessments in making decisions about the biological integrity of a stream, and to reduce the cost and time for identifying stream stressors and developing mitigation strategies. Such analysis is difficult since the complex linkages between reach‐scale geomorphic and habitat conditions, and biological integrity are not fully understood. We evaluate the effectiveness of a generalized regression neural network (GRNN) to predict biological integrity using physical (i.e., geomorphic and habitat) stream‐reach assessment data. The method is first tested using geomorphic assessments to predict habitat condition for 1,292 stream reaches from the Vermont Agency of Natural Resources. The GRNN methodology outperforms linear regression (69% vs. 40% classified correctly) and improves slightly (70% correct) with additional data on channel evolution. Analysis of a subset of the reaches where physical assessments are used to predict biological integrity shows no significant linear correlation, however the GRNN predicted 48% of the fish health data and 23% of macroinvertebrate health. Although the GRNN is superior to linear regression, these results show linking physical and biological health remains challenging. Reasons for lack of agreement, including spatial and temporal scale differences, are discussed. We show the GRNN to be a data‐driven tool that can assist watershed managers with large quantities of complex, nonlinear data.     

人工冻结法调控多年冻土区桩基础地温场的效果分析*

为了解决青藏铁路运营过程中,由于多年冻土地基的升温退化,部分多年冻土区桥梁桩基础承载性能下降,产生有害沉降变形,进而造成桥梁上部结构移位破坏,甚至部分桥梁桩基础在短时间内产生较大的沉降变形这一严重问题。基于当前多年冻土区桥梁桩基础沉降病害快速抢修技术空缺,提出人工冻结技术处置多年冻土区桥梁桩基础沉降病害的新设想,利用数值软件建立冻结管-桩基础三维模型分析该技术的可行性与调控效果,分析冻结参数、场地冻土条件等对冻结效果的影响。研究结果表明:人工冻结法可以快速降低桩周多年冻土温度;同时,冻结96 h可以对桩基地温场起到较好的冷却效果;冻结管至桩的距离对冻结效果的影响最为显著,冻土的含冰量越大,则降温速率越慢。     

铅锌尾矿中重金属在模拟酸雨淋溶下的浸出规律

重金属尾矿污染是世界性难题,污染水体、大气和土壤,对周边的生态环境和人体健康造成严重危害。在我国酸雨范围大且酸雨问题比较严重的背景下,探讨酸雨淋溶下尾矿中重金属的浸出规律将有利于加强我国重金属尾矿的污染控制和管理。采用湖南桃林铅锌尾矿库中的尾矿模拟酸雨条件进行淋溶实验,研究发现重金属Pb、Zn、Cu、Mn含量分别为1252.5,849.4,363.1,280.0mg/kg。其中,Pb、Zn主要以残渣态存在,分别占69.7%和53.8%;Cu主要以有机结合态存在,占67.0%;Mn主要以铁锰氧化态、有机结合态和残渣态存在,共占90.0%。在静态淋溶实验中,固液比越大、模拟酸雨pH值越小,重金属的浸出浓度越大。在动态淋溶实验中,Zn、Mn浸出浓度随时间呈现减小趋势,而Pb和Cu浸出浓度随时间先增大,后减小。     

川东高海拔山区红三叶、红三叶─鸭茅和红三叶─黑麦草人工群落生物量的比较研究

红三叶牧草作为一个优良牧草品种，在川东高海拔山区表现尤为突出。本文就红三叶、红三叶─鸭茅和红三叶─黑麦草三个人工群落进行了比较系统的生物量观测，比较了三个群落的总生物量、地上生物量、地下生物量特点，分析了各群落生物量在不同部位的分配情况，垂直空间上的配置，以及各器官在垂直空间上的配置和各个群落的茎、叶、花、立枯在垂直空间上所构成的分布带谱，通过以上分析发现，红三叶─黑麦草群落的总生物量最高，为４６．４７ｋｇ／ｈａ，其中地上部分为２４．５７ｋｇ／ｈａ，而红三叶─鸭茅群落的地下部分最为发达，地下生物量达２４．７４ｋｇ／ｈａ。根据群落生产结构，发现以红三叶为主的人工群落，其生产结构为不规则塔型分布，在离地面２０─４０ｃｍ处，生物量有一个高峰，并且红三叶─黑麦草群落的地上、地下生物量在垂直空间上分布较为均匀，其生产结构较为合理。通过各器官垂直空间分布分析，发现茎主要分布在４０ｃｍ以下，叶量最大是在４０ｃｍ左右，生殖器官最大量在５０ｃｍ附近，并且根据群落的茎：叶：花（穗）：立枯垂直分布带谱可以发现，各个器官在不同层次中所处的地位，而且根据此带谱可以掌握草地的刈割时间和刈割高度。     

PM10中重金属的分布及其在模拟酸雨中的释放

运用扫描电镜-X射线能谱分析方法(SEM-EDS)和电感耦合等离子体-原子发射光谱法(ICP-AES),分析和测定了佛山市可吸入颗粒物(PM₁₀)及其中重金属的赋存状态和质量分布.同时研究了模拟酸雨淋溶条件下PM₁₀中重金属Cu、Pb、Zn和Cd的释放过程.结果表明,颗粒物在大气中存在的形态各异,主要以簇状集合体形式存在.PM₁₀日平均浓度为0.19 mg/m³,与国家二级标准(0.15 mg/m³)相比,超标率为79%.PM₁₀中含有一定量的Zn、Pb、Cu和Cd,其中Zn、Pb的含量要高于Cd和Cu.模拟酸雨淋溶实验显示,PM₁₀中Cu、Pb、Zn、Cd均有不同程度的释放,Cd和Zn的释放率明显高于Cu和Pb,且释放速率较快;pH值是影响4种重金属释放的主要因素,随模拟淋溶液pH值降低,重金属的释放强度显著提高.     

Prediction of the concentration of chlorophyll-a for Liuhai urban lakes in Beijing City

The weekly water quality monitor data of Liuhai lakes between April 2003 and November 2004 in Beijing City were used as an example to build an artificial neural networks （ANN） model and a multi-varieties regression model respectively for predicting the fresh water algae bloom. The different predicted abilities of the two methods in Liuhai lakes were compared. A principle analysis method was first used to select the input variables of the models to avoid the phenomenon of collinearity in the data. The results showed that the input variables for the artificial neural networks were T, TP, transparency（SD）, DO, chlorophyll-a （Chl-a）,pH and the output variable was Chl-a. A three layer Levenberg-Marguardt feed forward leaming algorithm in ANN was used to model the eutrophication process of Liuhai lakes. 20 nodes in hidden layer and 1 node of output for the ANN model had been optimized by trial and error method. A sensitivity analysis of the input variables was performed to evaluate their relative significance in determining the predicted values. The correlation coefficient between predicted value and observed value in all data and in test data were 0.717 and 0.816 respectively in the artificial neural networks. The stepwise regression method was used to simulate the linear relation between Chl-a and temperature, of which the correlation coefficient was 0.213. By comparing the results of the two models, it was found that neural network models were able to simulate non-linear behavior in the water eutrophication process of Liuhai lakes reasonably and could successfully estimate some extreme values from calibration and test data sets.