二氯喹啉酸在水稻、土壤和田水中消解动态及残留

为评价二氯喹啉酸在水稻及其土壤中的安全性,建立其在水稻上的使用规范,于2008、2009年在杭州、济南和铁力三地进行田间试验,研究了二氯喹啉酸在水稻、土壤和田水中消解动态及最终残留量。建立了二氯喹啉酸在水稻、土壤和田水中残留量的超高效液相色谱串联质谱测定方法。在添加水平5～100μg.kg-1范围内,二氯喹啉酸的平均回收率在81.6%～105.7%之间,相对标准偏差均低于17.9%。残留试验结果表明,二氯喹啉酸在植株、土壤和田水中消解均符合一级动力学方程,消解半衰期分别为16.4～18.6、16.6～21.9和15.4～16.9 d;二氯喹啉酸在植株、土壤、糙米和稻壳中最终残留量均未检出（〈5μg.kg-1）。若二氯喹啉酸在水稻中的最高残留限量推荐值为0.5 mg.kg-1,建议每年以有效成分25 g.mu-1的剂量,于水稻移栽后10 d喷施1次,用于防治水稻田中稗草。     

江苏省农户秸秆还田的影响因素分析

农户秸秆还田不仅有利于土壤有机质的增加,实现耕地的可持续利用,而且在发挥我国农田土壤固碳潜力,积极应对气候变化方面具有重要意义.文章以江苏省农户调查数据为基础,建立Logistic模型,对影响农户秸秆还田的因素进行分析,以期为制定促进农户秸秆还田的政策提供科学依据.结果表明,不同地区农户对于秸秆还田的决策存在差异:在较为发达地区,秸秆还田与否,农户更多的是从秸秆处理的边际成本出发;而略欠发达地区,则主要是基于秸秆的利用效益.此外,技术因素也影响农户秸秆还田的行为决策.在制定促进秸秆还田技术应用的激励政策时,要充分考虑地区农业生产以及农户生产经营的基本特征及差异,因地制宜,有效地促进秸秆还田在各地区最大限度地被应用和推广.     

松花江野生鱼类重金属残留分析与评价

以松花江流域的野生鱼类为研究对象,在松花江流域选取松林、大顶子山、佳木斯3个具有代表性的点位,在2014—2016年的每年5月底6月初采集鲤鱼和鲫鱼样品,3年内共制备45个鲤鱼单样,44个鲤鱼混样,30个鲫鱼混样,共计119个。采用电感耦合等离子体-质谱法对鱼类肌肉组织中残留的As、Cd、Cr、Pb、Hg 5种重金属进行检测。检测结果显示,As、Cd、Cr、Pb、Hg 5种重金属全部检出,检测结果全部达标,达标率为100%。根据检测结果采用单因子指数法和金属污染指数法等评价了松花江流域鱼体重金属残留状况及食用安全性,评价结果为松花江流域鱼类重金属残留量相对较少,鱼体健康,食用安全。     

气相色谱-质谱法测定废酸油渣中的16种多环芳烃

建立了废酸油渣中16种多环芳烃超声萃取、Florisil萃取柱净化、气相色谱-质谱测定的方法.笔者对提取方式、提取剂类型和体积、提取时间和次数、净化方式等进行研究,采用无水硫酸钠分散,二氯甲烷作为提取剂超声40 min,提取液经纯水清洗、离心后取适量有机相经过3 g Florisil萃取柱净化,采用气相色谱-质谱选择离...     

固相微萃取-毛细管气相色谱法快速同步分析水中有机氯及有机磷农药

固相微萃取是一种快速、简便,集萃取浓缩进样于一体的样品前处理技术,具有分析时间短、灵敏度高、无需有机溶剂的优点.用固相微萃取富集水中8种有机氯及7种有机磷农药,毛细管气相色谱ECD检测器分离分析,整个分析过程只需26min,检出限可达0.002～1μg/L,已用于地表水中有机氯及有机磷农药含量的测定.     

毛细管气相色谱法测定烟草中有机氯农药残留

研究了烟草中六六六及滴滴涕异构体含量的气相色谱分析方法.样品以石油醚 丙酮在索氏提取器中提取,提取液以浓硫酸净化.采用DB-5弹性石英毛细管柱分离样品,GC-ECD检测农药六六六、滴滴涕的残留量.方法的线性范围为2.27×10-13～7.66×10-11g;最小检测量为1.3×10-8～3.0×10-7 μg,加标平均回收率为95.3%～103.3%,RSD为2.8%～4.5%.     

End-users’ knowledge,attitude, and behavior towards safe use of pesticides: a case study in the Guanting Reservoir area,China

Pesticides are widely used in China for crop protection. However, the use of some highly toxic and accumulative pesticides has led to serious pollution to the environment. The knowledge that end-users of pesticides have about hazards is important for the prevention of acute poisoning. Moreover, farmers, especially those who purchase and use pesticides, often make important and long-standing impacts on the local ecosystem and environment. In this study, a specially designed questionnaire was used to collect information on their knowledge, attitude, and behavior related to pesticides in the Guanting Reservoir area, north of China. Most pesticide end-users reported that they took incomplete preventive measures for lack of extensive pesticide knowledge and information. Pesticide information, instruction, and training among farmers should be promoted, and governmental intervention is needed to ensure proper management regarding public health risks and environmental hazards.     

南京市城郊蔬菜生产基地有机氯农药残留特征

以网格法在南京市无公害蔬菜生产基地八卦洲采集70个土壤样品,用加速溶剂萃取、固相萃取柱净化后GC-μECD测定土壤中有机氯农药(α-HCH,β-HCH,γ-HCH和δ-HCH以及o,p'-DDT,p,p'-DDT,o,p'-DDE,p,p'-DDE 和p,p'-DDD)残留量.结果表明,土壤中有机氯农药残留总量在6.18～84.72 μg·kg-1之间,平均18.63 μg·kg-1.DDT残留量高于HCH,为3.36～74.19 μg·kg-1,平均12.61 μg·kg-1.土壤中HCH残留量为2.48～17.80 μg·kg-1,平均6.02 μg·kg-1.DDT同系物中以p,p'-DDE和p,p'-DDT为主,而HCH中δ-HCH含量较低,其他3种异构体含量水平相当.所有土样中DDT和HCH残留量均远远低于GB/T 18407 无公害蔬菜产地土壤标准限定值500 μg·kg-1,但大多数土样中DDT和HCH残留量远远高于荷兰无污染土壤标准.     

Sorption of alpha and beta hydrophobic endosulfan in a Vertisol from southeast region of Turkey

Endosulfan has been applied to control numerous insects in a variety of food and non-food crops. Limited information is available on dynamics of this pesticide in the soil. The objective of this research was to determine the adsorption–desorption behavior of the alpha (α) and beta (β) endosulfan in a Vertisol from the southeast region of Turkey, where cotton is the main crop in the large irrigated lowlands. The α and β endosulfan were adsorbed considerably and Freundlich adsorption–desorption isotherms fitted the α and β endosulfan data (R² > 0.98). Freundlich adsorption coefficients (K_f) for the α endosulfan ranged between 21.63 and 16.33 while for the β endosulfan they were between 14.01 and 17.98 for the Ap and Bw2 horizons. The difference of K_f values of α and β endosulfan for two horizons were explained with the slight difference in the amount of organic matter and clay, but considerable difference in Fe contents of the two horizons. Alpha and β endosulfan K_fd values were 118.03 and 45.81 for the Ap and 48.08 and 68.71 for the Bw2 horizons. Higher adsorption and desorption behavior of the endosulfan isomers for the same horizon was attributed to poor physical bonding between the endosulfan molecule and the surfaces of fundamental soil particles. This fact is thought to increase the effective use of endosulfan in agriculture with a possibility of its movement to the surface and groundwater in the Vertisol studied.     

SIMULATION OF HERBICIDE CONCENTRATIONS IN STORMFLOW FROM FORESTED WATERSHEDS1

The breakpoint rainfall hydrology and pesticide options of the field scale model CREAMS (Chemicals, Runoff, and Erosion from Agricultural Management Systems) were used to predict average concentrations of hexazinone [3 cyclohexyl-6-(dimethyl-amino)-1-methyl-1,3,5-triazine-2,4(1H,3H)-dione] in stormflow from four forested watersheds in the upper Piedmont region of Georgia. Predicted concentrations were compared with measured concentrations recorded over a 13-month period. CREAMS accurately predicted hexazinone concetrations in the initial stormflow events which also contained the highest concentrations. The model underestimated the hexazinone concentrations in stormflow two months and greater following pesticide application. In a companion study, the daily rainfall option of the CREAMS model was used to evaluate the reltive risk associated with the maximum expected concentration of hexazinone, bromacil (5-bromo-3 sec-butyl-6 methyuracil), picloram (4-amino-3,5,6 trichloropicolinic acid), dicamba (3,6-dichloro-0-anisic acid), and triclopyr {[(3,5,6-trichloro-2-pyridinyl)oxy] acetic acid} in stormflow from small forested watersheds. The model predicted the following order of potential residue appearance in stormflow: bromacil>triclopyr>hexazinone>picloram>dicamba. Subsurface movement of residues via interflow and deep leaching losses are not simulated by the version of CREAMS used in these studies.