毒死蜱生态毒理与风险研究综述

毒死蜱被认为是一种高效、安全和广谱的含氮杂环类杀虫杀螨剂,被广泛应用于农业生产病虫害的防治中。在中国,毒死蜱曾被列为取代高毒农药的重要品种,并被农业部推荐用于无公害农产品生产的专用杀虫杀螨剂。近年来,由于不断发现的毒死蜱生物毒性及其产生的环境安全问题,美国和欧盟国家已经在某些范围内禁用毒死蜱。综合近几年文献,从环境介质含量、转化行为、生物活性检测以及国外水质基准等方面,对其分别叙述,旨在为今后中国地区毒死蜱的环境健康风险评价、生态风险评价和水质基准制定提供基本参考依据。     

固相萃取-GC/MS法测定水中持久性有机污染物

采用Envi-18固相萃取小柱富集水样,用正己烷/丙酮混合溶剂洗脱水样中42种POPs化合物,再用气质联用法测定。通过优化仪器监测条件,使目标物在0.250 mg/L~5.00 mg/L范围内线性良好。方法检出限为50.9 ng/L~11 640 ng/L,实际水样加标回收率为57.1%~129%,测定结果的RSD为0.1%~13.8%。将该方法用于测定浙江省东苕溪流域的45份水样,结果滴滴涕、六六六等有机氯农药的检出率较高,其他POPs的检出率较低。     

离子色谱法测废印刷电路板真空热解气相污染物中HBr、NO2和SO2

在淋洗液中加入H2O2和三乙醇胺配制成吸收液,通过离子色谱法同时测定废印刷电路板真空热解气相产物中HBr、NO_2和SO_2的含量,方法简单、快速、准确。当用50 m L吸收液、采样体积为30 L时,3种污染物的检出限分别为0.000 005 7、0.000 003 4、0.000 002 9 mg/L。该方法加标回收率为95.7%~104.8%,完全能满足废印刷电路板真空热解气相污染物中HBr、NO_2和SO_2的同时测定要求。利用该方法和行标方法同时测定环境空气中的HBr、NO_2和SO_2,再利用Excel分析工具对测定数据进行F检验和t检验,检验结果表明2种测定方法无显著差异。     

活性污泥缺氧转化1-2-7-三氨基-8-羟基-3-6-萘二磺酸

1—2-7-三氨基-8-羟基-3—6-萘二磺酸（TAHNDS）作为偶氮染料的脱色产物很难被常规的厌氧-好氧染料废水处理工艺所去除。研究了未经驯化的活性污泥对TAHNDS的缺氧转化效果。结果表明,只有在特定的缺氧条件下（ORP在-50～-150mV之间）,TAHNDS才能被活性污泥所降解转化。当浓度在10—80mg／L范围内,TAHNDS可在72h内转化93％以上。加入100mg／L的硝酸盐和0．64mmol／L的氧化还原介体蒽醌-2-磺酸钠（AQS）可将40mg／L的TAHNDS的转化时间从84h缩短到36h。光谱及HPLC—MS分析表明,TAHNDS在缺氧条件下主要是通过脱氨基和脱磺酸作用生成已知可好氧生物降解的3,5-二氨基4-羟基萘-2-磺酸。因此,缺氧处理有望作为预处理工艺促进废水中TAHNDS的完全降解。     

糖厂废醪液蔗地施肥的效应

糖厂根据当地的自然条件和工农关系 ,采用施肥法资源化利用废醪液 ,是最为经济的污水治理方法。     

对羧基苯偶氮硫代若丹宁固相萃取光度法测定环境样品中的铅

合成了新试剂对羧基苯偶氮硫代若丹宁(CPATR),并用红外光谱、核磁共振氢谱和元素分析鉴定其结构。研究了CPATR与铅的显色反应,在pH3 8的HAc—NaAc缓冲介质中,吐温-80存在下,CPATR与铅反应生成2∶1稳定络合物,该络合物可被WatersSep-PakC18小柱固相萃取,小柱上富集的络合物用乙醇洗脱后富集倍数可达50倍,在乙醇介质中,λmax=500nm,体系摩尔吸光系数ε=8.01×104L·mol-1·cm-1。铅含量在0 05～4 0mg/L内符合比耳定律。本方法可用于环境样品中铅含量的测定,结果满意。     

固相萃取-气相色谱法测定水样中马拉硫磷残留

采用C-18小柱萃取、毛细管柱分离、气相色谱氢火焰离子化检测器（FID）测定水样中的马拉硫磷,检测限为0．12μg／L。试验了样品流量和洗脱剂对回收率的影响,结果表明样品流量为6mL／min、二氯甲烷作洗脱剂时,回收率较好。测定蒸馏水、地下水和河水样品,相对标准偏差〈2．2％。加标回收率在79．0％-109％之间。     

“Alternative futures”: a methodology for integrated sustainability considerations,the case of Nuremberg West,Germany

In the context of the desire to steer urban transformation towards sustainability transition, the development of proposals for alternative futures assists policy-makers and practitioners in focusing on impact by organising the various drivers, particularly spatial ones that cause an interactive urban system to transit. This paper presents the methodology that has been developed by the Chair for Urban Development, Munich University of Technology (TUM) as it was working within an inter-disciplinary research team on a project commissioned by the municipality of Nuremberg. The objective of this project was to develop ideas for regenerating the formerly industrial area of Nuremberg West (NW) under the guiding theme of sustainable urban development. This methodology focuses on the development of proposals of positive and possible transformations of NW in the year 2050 based on the analysis of economy, housing and space at various scales and a systematic assessment of trends. These alternative futures became framing and guiding narratives to internalise and anchor the debate in-between the various disciplines involved in this project.     

滤纸对青蒿丛生芽诱导及遗传转化的影响

研究了滤纸对青蒿丛生芽诱导及遗传转化的影响.结果表明,培养基上加铺一层滤纸能够明显促进青蒿丛生芽的诱导,丛生芽诱导率可达到97%.在高效丛生芽诱导体系的基础上,探讨了滤纸在根癌农杆菌介导的青蒿遗传转化中的应用.优化后的青蒿转化体系,抗性丛生芽诱导率可达到59.7%,其中,12.5%的抗性丛生芽能发育成抗性生根植株,生根植株PCR检测均为阳性.在部分PCR检测阳性植株中检测到了GUS的稳定表达.该优化的转化体系对青蒿素生物合成分子调控的研究具有重要意义.图5表1参26     

Testing and Improving Temperature Thresholds for Snow and Rain Prediction in the Western United States

The phase of precipitation at the land surface is critical to determine the timing and amount of water available for hydrological and ecological systems. However, there are few techniques to directly observe the precipitation phase and many prediction tools apply a single temperature threshold (e.g., 0°C) to determine phase. In this paper, we asked two questions: (1) what is the accuracy of default and station optimized daily temperature thresholds for predicting precipitation phase and (2) what are the regions and conditions in which typical temperature‐based precipitation phase predictions are most suited. We developed a ground truth dataset of rain vs. snow using an expert decision‐making system based on precipitation, snow depth, and snow water equivalent observations. This dataset was used to evaluate the accuracy of three temperature‐threshold‐based techniques of phase classification. Optimizing the temperature threshold improved the prediction of precipitation phase by 34% compared to using 0°C threshold. Developing a temperature threshold based on station elevation improved the error by 12% compared with using the 0°C temperature threshold. We also found the probability of snow as a function of temperature differed among ecoregions, which suggests a varied response to future climate change. These results highlight a current weakness in our ability to predict the effects of regional warming that could have uneven impacts on water and ecological resources.