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模拟六种常用农药在新西兰两种不同土壤中的消解动力学。

Modelling the dissipation kinetics of six commonly used pesticides in two contrasting soils of New Zealand.

机构信息

Landcare Research New Zealand, Hamilton, New Zealand.

出版信息

J Environ Sci Health B. 2009 Aug;44(6):507-17. doi: 10.1080/10934520902719993.

Abstract

We used three non-linear bi-phasic models, bi-exponential (BEXP), first-order double exponential decay (FODED), and first-order two-compartment (FOTC), to fit the measured degradation data for six commonly used pesticides (atrazine, terbuthylazine, bromacil, diazinon, hexazinone and procymidone) in two New Zealand soils. Corresponding DT(50) and DT(90) values for each compound were numerically obtained and compared against those estimated by simple first-order kinetic (SFOK) model. All 3 non-linear models gave good fit of the measured data under both soil depths and were well supported by the values obtained for the respective statistical indices (RMSE, CRM and r(2)). The FOTC model gave by far the best fit for most compounds, followed by the FODED and BEXP models. Overall, DT(50) values derived by non-linear models for the six compounds in soils from both sites were lower than the values obtained by the SFOK model. Differences in the SFOK and the three non-linear models derived DT(90)were, however, an order of magnitude higher for some compounds, while for others differences were very small. Although all three non-linear models described most data by giving excellent fits, in a few instances > 5-10% asymptotes hindered the estimation of DT(90) values. This work shows that when degradation deviates from first-order kinetic, application of non-linear decay models to describe the kinetics of degradation becomes important in order to derive the true end-points for pesticides in soil.

摘要

我们使用了三种非线性双相模型,双指数(BEXP)、一阶双指数衰减(FODED)和一阶两室(FOTC),来拟合两种新西兰土壤中六种常用农药(莠去津、特丁津、溴麦隆、二嗪磷、六嗪酮和丙草胺)的实测降解数据。通过数值方法得到了每个化合物的相应 DT(50)和 DT(90)值,并与简单一阶动力学(SFOK)模型估计的值进行了比较。在两种土壤深度下,所有 3 种非线性模型都对实测数据进行了很好的拟合,并且各自的统计指数(RMSE、CRM 和 r(2))的值也得到了很好的支持。FOTC 模型对大多数化合物的拟合效果最好,其次是 FODED 和 BEXP 模型。总的来说,与 SFOK 模型相比,两种土壤中六种化合物的非线性模型得出的 DT(50)值更低。然而,SFOK 和三种非线性模型得出的 DT(90)值之间的差异在某些化合物中高达一个数量级,而在其他化合物中则非常小。尽管所有三种非线性模型都通过给出极好的拟合来描述大多数数据,但在某些情况下,>5-10%的渐近值会阻碍 DT(90)值的估计。这项工作表明,当降解偏离一阶动力学时,应用非线性衰减模型来描述降解动力学变得很重要,以便在土壤中得出农药的真实终点。

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