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Identification of Pesticide Residues and Prediction of Their Fate in Agricultural Soil

机译:农药残留的鉴定与农业土壤命运的预测

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Fourteen pesticides were screened and determined through quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction process combined with GC-MS/MS in arid agriculture soil. The aims of the current investigation were to account the occurrence of organochlorine (OCP) and organophosphates (OPP) pesticide residues as well as other groups of pyrethroids (PYRs), carbamates, and biopesticides using a combined of QuEChERS and GC-MS/MS techniques in agriculture soils at Al-Kharj region, Saudi Arabia, and to investigate correlation between pesticide losses in soils and some physicochemical characteristics of pesticides including an octanol-water coefficient partition (K-ow) and the vapor pressure (Vp). Prediction of pesticide fate by considering both pesticide and soil physio-chemical properties will facilitate the management of pesticide application and minimize the hazards of environmental pollution. The fate of pesticide residue in soils is generally controlled by soil/air exchange, water interaction, and biodegradation. The results indicated that 14 pesticide residues were measured in collected samples of various soils, spinosad, chlorpyrifos methyl, dimethoate, chlorpyrifos, lindane (gamma-HCH), permethrin, and methomyl which were the most abundant sources of contamination in the studied region. p,p-DDT, o,p-DDT, bifenthion, beta-cyfluthrin, and methidathion were less commonly detected. Single parameter least squares regression equations (sp-LSRE) for Vp and K-ow against the loss of each pesticide residue showed a significant change in concentration levels (p 0.05) between the two seasons. The results showed that vapor pressure and octanol-water partition coefficient data are not enough to model pesticide residue losses in arid low organic carbon soil. More soil-related data is needed to describe the dissipation mechanisms of these pesticide residues in the region.
机译:通过快速,容易,便宜,有效,粗糙的,安全(Quechers)提取过程筛选并确定了十四种农药并确定了干旱农业土壤中的GC-MS / MS。目前调查的目的是考虑使用组合的QueCher和GC-MS / MS技术的有机氯(OCP)和有机磷酸盐(OCP)和有机磷酸盐(OPP)磷酸盐(OPP),杀虫剂(Pyrs),氨基甲酸酯和生物农药的发生。在沙特阿拉伯Al-Kharj地区的农业土壤中,并调查土壤中农药损失与农药的一些物理化学特性的相关性,包括辛醇 - 水系数分区(K-OW)和蒸气压(VP)。考虑农药和土壤生理化学性质的杀虫剂命运的预测将促进农药应用的管理,并尽量减少环境污染的危害。土壤中农药残留的命运通常由土壤/空气交换,水相互作用和生物降解控制。结果表明,在各种土壤,辛糖,氯吡啶甲基,二甲酯,氯吡啶酚,林丹(γ-HCH),PERMERN林和甲氨基中测量了14个农药残留物,这是研究区中最丰富的污染源。 P,P-DDT,O,P-DDT,BIFENTHION,BETA-CYFLUTHRIN和甲状腺素均不太常见。用于vp和k-ox对每个农药残留物的损失的单个参数最小二乘(SP-LSRE)显示出两季之间的浓度水平(P <0.05)的显着变化。结果表明,蒸气压和辛醇 - 水分配系数数据不足以模拟干旱低有机碳土壤中的农药残留损失。需要更多的土壤相关数据来描述该地区这些农药残留物的耗散机制。

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