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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是一个空间分布模型,描述了土壤-植物系统中农药的结局,它计算了农药向当地地表水中的排放以及向区域地下水的淋洗,GeoPEARL在评估荷兰农药政策计划中发挥着重要作用。这项研究分析了三种代表性农药在土壤和农药特性中的不确定性如何通过GeoPEARL传播.GeoPEARL的输出是浸出浓度(P90)的时间中间值的空间分布的90%,不确定性是农药的系数。两者均在空间上不相关,并以对数正态概率分布表示。二者不确定的土壤性质包括视野厚度,质地,有机物含量,水导率和保水特性。概率分布来自于met a数据存储在荷兰土壤信息系统中。随机选取覆盖荷兰农业地区的258个点的常规网格样本。在网格节点处,生成了不确定输入的概率分布的实现,并将其用作对a的输入。蒙特卡洛不确定性传播分析。结果表明,P90的不确定性较大,四分位间距大于所有三种农药的中位数。进一步分析表明,农药特性是不确定性的主要来源,而土壤有机质的不确定性较小其他土壤特性的不确定性影响可忽略不计。这些结果表明,对土壤特性的改进评估几乎不会提高预测的农药浸出的准确性。相反,需要对农药特性进行更准确的评估,但这是困难的,因为这些不确定性实际上反映了GeoPEAR的简化过程描述L.

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