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Uncertainty Analysis of the GeoPEARL Pesticide Leaching Model

机译:Geopearl农药浸出模型的不确定性分析

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GeoPEARL is a spatially distributed model describing the fate of pesticides in the soil-plant system.It calculates the drainage of pesticides into local surface waters and the leaching into the regional groundwater.GeoPEARL plays an important role in the evaluation of Dutch pesticide policy plans.This study analysed how uncertainties in soil and pesticide properties propagate through GeoPEARL for three representative pesticides.The GeoPEARL output considered is the 90 percentile of the spatial distribution of the temporal median of the leaching concentration (P90).The uncertain pesticide properties are the coefficient of sorption on organic matter and the half-life of transformation in soil.Both were assumed uncorrelated in space and were represented by lognormal probability distributions.Uncertain soil properties considered were horizon thickness,texture,organic matter content,hydraulic conductivity and the water retention characteristic.Probability distributions were derived from meta-data stored in the Dutch soil information system.A regular grid sample of 258 points covering the agricultural area in the Netherlands was randomly selected.At the grid nodes,realisations from the probability distributions of uncertain inputs were generated and used as input to a Monte Carlo uncertainty propagation analysis.The results show large uncertainties in P90,with interquartile ranges larger than the median for all three pesticides.Further analysis showed that the pesticide properties were the main source of uncertainty and that uncertainty in soil organic matter contributed to a lesser extent.Uncertainty contributions from other soil properties were negligible.These results suggest that improved assessment of soil properties will hardly improve the accuracy of the predicted pesticide leaching.Instead,more accurate assessment of the pesticide properties is required,but this is difficult because these uncertainties in fact reflect the simplified process descriptions of GeoPEARL.
机译:Geopearl是一种空间分布的模型,描述了土壤 - 植物系统中农药的命运。它计算农药的排水,进入局部地表水域,浸出到区域地下水中。地图在评估荷兰农药政策计划中起着重要作用。该研究分析了土壤和农药性能的不确定性如何通过Geopearl传播三种代表性农药。所考虑的Geopearl产量是浸出浓度的时间中间的空间分布的90百分位数(p90)。不确定的农药性质是系数有机质的吸附和土壤中转化的半衰期。在空间中假设不相关,并由逻辑概率分布表示。考虑的土壤特性是视域厚度,质地,有机物质含量,水力传导性和水保持特性。概率分布来自达到存储在荷兰土壤信息系统中的数据。随机选择覆盖荷兰农业区的258点的常规网格样本。网格节点,生成了不确定输入概率分布的实现并用作输入Monte Carlo不确定繁殖分析。结果显示P90的大不确定性大于所有三种农药的中位数。杂种分析表明,农药性质是不确定的主要来源,土壤有机物的不确定性有助于较小来自其他土壤性质的程度贡献可忽略不计。这些结果表明,改善的土壤性质评估几乎不会提高预测的农药浸出的准确性。然而,需要更准确地评估农药性质,但这很难,因为这些不确定性很难实际上反映了地理性的简化过程描述L.

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