G C/MS法测定环境空气中痕量POPs类有机氯农药及降解产物

采用快速溶剂萃取-氟罗里硅土柱净化-气相色谱/质谱联用法测定环境空气中POPs类有机氯农药及其降解产物.艾氏剂、狄氏剂、异狄氏剂、六六六、滴滴涕,七氯、氯丹、灭蚁灵及其降解产物的检出限为2.0 ng～4.6 ng,空白加标回收率为62.1%～118%,RSD为6.8%～15.2%.     

广州某观测点春季大气样品中二NFDA1英日均浓度变化分析

在广州某商住区楼顶开展为期1个月的大气样品连续采样,利用高分辨气相色谱-高分辨质谱仪测定了样品中17种毒性二 NFDA1 英(PCDD/Fs)的含量。结果表明,该采样点位样品二 NFDA1 英I-TEQ浓度范围为0.094~1.34 pg I-TEQ/m³,样品日平均浓度相对偏差范围为3.2%~118.8%,6日平均浓度相对偏差范围为1.2%~60.1%,6日平均值更能较好地反映样品长期平均浓度。气象变化对样品中二 NFDA1 英I-TEQ浓度有明显影响,降雨后样品中的二 NFDA1 英I-TEQ浓度明显低于降雨前,降雨前或降雨中样品的二 NFDA1 英I-TEQ浓度与降雨后样品比值最高达到9.0,样品二 NFDA1 英I-TEQ浓度与PM_2.5的线性相关性高于其与TSP、温度相关性,上述三者的r值和P值分别为0.637、-0.296、0.271和0.611、0.326、0.329。     

超声波提取-GC/MS法测定生物体内硝基苯类化合物

以洪泽湖中6种代表性生物为研究对象,采用超声波法提取样品中硝基苯类化合物,用凝胶色谱净化、浓缩,气相色谱／质谱联用法测定。该法与索氏提取法在同等试验条件下进行加标回收试验,前者回收率高且稳定,简便可行。方法检出限为0．008μg／g～0．030μg／g,平均加标回收率为76．5％～109％,重复测定3次的RSD为1．5％～13．0％。     

加速溶剂萃取-气相色谱/串联质谱法测定土壤中20种有机氯农药

建立了用加速溶剂萃取法（ASE）提取、气相色谱-串联质谱法分析土壤中20种有机氯农药的方法。用正己烷和丙酮（1∶1,V/V）的混合溶剂为提取剂,萃取温度100℃,压力1 500 psi,静态提取10 min,循环提取2次,提取液经石墨化碳黑固相萃取柱净化,浓缩后进行GC-MS/MS测定,外标法定量。试验结果表明,采用串联质谱多反应监测模式,降低了背景干扰,当取5 g土壤时,有机氯农药的检出限在0.1~3.0μg/kg之间,低浓度水平（8μg/kg）的基体加标回收率为70.3%~134%,相对标准偏差〈23%。测定方法背景干扰低,灵敏度高,适合土壤中20种有机氯农药残留的同时测定。     

碳包覆Pd/Al2O3催化剂催化4-溴苯酚加氢脱溴的活性和稳定性调控研究

在污染物液相催化加氢脱卤过程中,提高催化剂的稳定性至关重要.以水热合成法制备了不同碳包覆量的Pd/Al₂O₃@C催化剂,对催化剂进行了系列表征,并将催化剂应用于4-溴苯酚(4-BP)污染物的催化加氢脱溴反应.表征结果显示碳层提高了Pd/Al₂O₃的表面疏水性,有利于4-BP在催化剂上的吸附.并且在Pd/Al₂O₃@C催化剂的碳化过程中,碳还原部分Pd颗粒,并保留部分正价态Pd活性位,增强了4-BP中C-Br键的活化.与Pd/Al₂O₃相比,碳涂层提高了催化剂的催化活性.但当碳包覆量超过最佳包覆量后,暴露的Pd粒子随碳包覆量的增加而减少,导致活性下降.此外,碳层修饰后,催化剂的稳定性显著提高,从而大大抑制了Pd粒子的团聚和损耗.Pd/Al₂O₃@C表面的碳涂层对卤素具有较高的耐受性,从而减轻了液相催化加氢脱卤反应中活性中心的中毒.     

三峡库区典型消落带冬季多环芳烃大气-植物/土壤交换过程与通量

三峡大坝每年周期性“蓄水-放水”,形成水位落差巨大的消落带,库区内污染物环境地球化学行为随之发生变化.以冬季淹没期消落带多环芳烃为研究对象,采集成对大气(n=16)、植物(n=12)和土壤样品(n=12),采用气相色谱/质谱法(GC/MS),分析USEPA 16PAHs浓度水平,解析来源,估算大气地表、大气-植物等多介质交换通量.结果表明:大气、土壤和植物中PAHs浓度为5.65～13.47ng/m³、70.86～13 5.44ng/g和78.23～1084.72ng/g,平均值分别为(8.58±2.78) ng/m³、(90.10±22.18) ng/g和(360.36±309.54) ng/g.大气中PAHs以2～3环为主(62.3%),植物中PAHs以3～4环为主(73.7%),土壤中PAHs以3环和5环为主(52.1%).特征分子比值法揭示煤、生物质燃烧是植物PAHs的主要来源,以石油为主的化石燃料燃烧是大气和土壤PAHs主要来源.“一室模型”表明,植物吸收PAHs的主要途径为植物-气相之间动态平衡限制下的气沉降.“逸度模型”表明,3...     

Penicillin fermentation residue biochar as a high-performance electrode for membrane capacitive deionization

● We have provided an activated method to remove the toxicity of antibiotic residue. ● PFRB can greatly improve the salt adsorption capacity of MCDI. ● The hierarchical porous and abundant O/N-doped played the key role for the high-capacity desalination. ● A new field of reuse of penicillin fermentation residue has been developed. Membrane capacitive deionization (MCDI) is an efficient desalination technology for brine. Penicillin fermentation residue biochar (PFRB) possesses a hierarchical porous and O/N-doped structure which could serve as a high-capacity desalination electrode in the MCDI system. Under optimal conditions (electrode weight, voltage, and concentration) and a carbonization temperature of 700 °C, the maximum salt adsorption capacity of the electrode can reach 26.4 mg/g, which is higher than that of most carbon electrodes. Furthermore, the electrochemical properties of the PFRB electrode were characterized through cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) with a maximum specific capacitance of 212.18 F/g. Finally, biotoxicity tests have showed that PFRB was non-biotoxin against luminescent bacteria and the MCDI system with the PFRB electrode remained stable even after 27 adsorption–desorption cycles. This study provides a novel way to recycle penicillin residue and an electrode that can achieve excellent desalination.     

Adaptation Bridges and Barriers in Water Planning and Management: Insight from Recent Extreme Droughts in Arizona and Georgia1

Abstract: It is critical to understand the ability of water management to prepare for and respond to the likely increasing duration, frequency, and intensity of droughts brought about by climate variability and change. This article evaluates this ability, or adaptive capacity, within large urban community water systems (CWSs) in Arizona and Georgia. It analyzes interview data on the bridges and barriers to adapting water management approaches in relation to extreme droughts over the past decade. This study not only finds levers for building adaptive capacity that are unique to each state but also identifies several unifying themes that cut across both cases. The interviews also show that a particular bridge or barrier, such as state regulation, is not universally beneficial or detrimental for building adaptive capacity within each state. Such knowledge is useful for improving water and drought management and for understanding how CWSs might prepare for future climate variability and change by removing the barriers and bolstering the bridges in efforts to build adaptive capacity.     

Using the land transformation model to forecast vacant land

Growing or shrinking cities can experience increases in vacant land. As urban populations and boundaries fluctuate, holes can open in once tight urban areas. Many cities chase growth-oriented approaches to dealing with vacancies. It is critical to understand land-use alteration to accurately predict transformations of physical change in order to make better informed decisions about this phenomenon. This research utilizes the land transformation model (LTM), an artificial neural networking mechanism in Geographic Information Systems, to forecast vacant land. Variable influence on vacant land prediction and accuracy of the LTM is assessed by comparing input factors and patterns, using time-series data from 1990 to 2010 in Fort Worth, Texas, USA. Results indicate that the LTM can be useful in simulating vacant land-use changes but more precise mechanisms are necessary to increase accuracy. This will allow for more proactive decisions to better regulate the process of urban decline and regeneration.     

SACRAMENTO RIVER FLOW RECONSTRUCTED TO A.D. 869 FROM TREE RINGS1

ABSTRACT: A time series of annual flow of the Sacramento River, California, is reconstructed to A.D. 869 from tree rings for a long‐term perspective on hydrologic drought. Reconstructions derived by principal components regression of flow on time‐varying subsets of tree‐ring chronologies account for 64 to 81 percent of the flow variance in the 1906 to 1977 calibration period. A Monte Carlo analysis of reconstructed n‐year running means indicates that the gaged record contains examples of drought extremes for averaging periods of perhaps = 6 to 10 years, but not for longer and shorter averaging periods. For example, the estimated probability approaches 1.0 that the flow in A.D. 1580 was lower than the lowest single‐year gaged flow. The tree‐ring record also suggests that persistently high or low flows over 50‐year periods characterize some parts of the long‐term flow history. The results should contribute to sensible water resources planning for the Sacramento Basin and to the methodology of incorporating tree‐ring data in the assessment of the probability of hydrologic drought.