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Adaptation of a resistive model to pesticide volatilization from plants at the field scale: Comparison with a dataset

机译:适应性模型适应田间植物中农药挥发的影响:与数据集的比较

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Volatilization from plants is known to greatly contribute to pesticide emission into the atmosphere. Modeling would allow estimating this contribution, but few models are actually available because of our poor understanding of processes occurring at the leaf surface, competing with volatilization, and also because available datasets for validating models are lacking. The SURFATM-Pesticides model was developed to predict pesticide volatilization from plants. It is based on the concept of resistances and takes into account two processes competing with volatilization (leaf penetration and photodegradation). Model is here presented and simulated results are compared with the experimental dataset obtained at the field scale for two fungicides applied on wheat, fenpropidin and chlorothalonil. These fungicides were chosen because they are largely used, as well as because of their differentiated vapor pressures. The model simulates the energy balance and surface temperature which are in good agreement with the experimental data, using the climatic variables as inputs. The model also satisfactorily simulates the volatilization fluxes of chlorothalonil. In fact, by integrating estimated rate coefficients of leaf penetration and photodegradation for chlorothalonil giving in the literature, the volatilization fluxes were estimated to be 24.8 ng m~(-2) s~(-1) compared to 23.6 ng m~(-2) s~(-1) measured by the aerodynamic profile method during the first hours after application. At six days, the cumulated volatilization fluxes were estimated by the model to be 19 g ha~(-1) compared to 17.5 g ha~(-1) measured by the inverse modeling approach. However, due to the lack of data to estimate processes competing with volatilization for fenpropidin, the volatilization of this compound is still not well modeled yet. Thus the model confirms that processes competing with volatilization represent an important factor affecting pesticide volatilization from plants.
机译:已知植物挥发会极大地促进农药排放到大气中。建模可以估算出这一贡献,但是由于我们对叶片表面发生的过程了解不多,与挥发竞争,而且由于缺乏用于验证模型的可用数据集,因此实际可用的模型很少。开发了SURFATM-农药模型来预测植物中农药的挥发。它基于电阻的概念,并考虑了与挥发竞争的两个过程(叶片渗透和光降解)。本文介绍了模型,并将模拟结果与在田间获得的两种杀菌剂的数据集进行了比较,这两种杀菌剂分别应用于小麦,联苯丙啶和百菌清。选择这些杀真菌剂是因为它们被广泛使用,并且由于它们的蒸气压不同。该模型使用气候变量作为输入来模拟与实验数据非常吻合的能量平衡和表面温度。该模型还可以令人满意地模拟百菌清的挥发通量。实际上,通过结合文献中百菌清对叶片渗透和光降解的估计速率系数的综合,挥发通量估计为24.8 ng m〜(-2)s〜(-1),而23.6 ng m〜(-2 )s〜(-1)在施用后的最初几个小时内通过空气动力学曲线法测量。在六天时,模型估计的累积挥发通量为19 g ha〜(-1),而通过逆建模方法测得的为17.5 g ha〜(-1)。但是,由于缺乏估计与芬太利挥发作用竞争的过程的数据,该化合物的挥发作用尚未得到很好的建模。因此,该模型证实,与挥发竞争的过程是影响植物农药挥发的重要因素。

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