Climatic and soil-landscape variations in relation to modelling pesticide fate in hummocky terrains

农药去向模型可以用来预测农药和雌激素在土壤中的去向。在大规模使用时，围绕农药去向模型应用的不确定性的主要来源之一是对农药/雌激素吸收和降解输入参数的空间变异性了解不足。因此，这项研究将考察农药/雌激素在两个丘陵地带的吸附和降解的空间变异性，并在此基础上，利用数字地形模型开发一种改进的大尺度随机农药命运模拟方法。草原坑坑区(77万平方公里)拥有数百万与农业用地相关的湿地。例如，这项研究的两个丘陵地带，每个都有大约200个湿地。草原湿地的水位对气候变化很敏感，但这一信息尚未纳入湿地水中农药浓度的估计。因此，通过使用为四个草原湿地得出的数字高程模型，拟议的研究将改进现有的水文模型，以提供模拟气候变化对草原湿地中农药浓度的影响的手段。

Pesticide fate models can be used to predict the fate of pesticides and estrogens in soil. When used at the large scale, one of the main sources of uncertainty surrounding the application of pesticide fate models is insufficient knowledge of the spatial variability of pesticide/estrogen sorption and degradation input parameters. Therefore, the proposed research will examine the spatial variability of pesticide/estrogen sorption and degradation in two hummocky terrains and, based on this knowledge, utilize digital terrain models to develop an improved approach to stochastic pesticide fate modelling at the large scale. The Prairie Pothole Region (770,000 km2) has millions of wetlands associated with agricultural land. For example, the two hummocky terrains central to this research each have about 200 wetlands on site. Water levels in prairie wetlands are sensitive to climate variability, but this information has not been integrated into estimates of pesticide concentrations in wetland water. Therefore, through the use of digital elevation models derived for four prairie wetlands, the proposed research will refine existing hydrological models to provide the means of modelling the impact of climate variability on concentrations of pesticides in prairie wetlands.