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

丘陵地形中与农药归宿建模相关的气候和土壤景观变化

• 批准号: 216906-2009
• 负责人: Farenhorst, Annemieke
• 金额: $ 2.67万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=617780
• 关键词: Climatic; soil; landscape; variations; relation

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. There are at least three reasons why this research is important: (1) This will be the first study to determine, in detail, the fate of emerging contaminants (estrogens) in soil profiles at the soil-landscape level; (2) The research will lead to significant improvements in regulatory and environmental risk assessments at the large scale, and (3) The new wetland water model will improve our knowledge of the impact of climate variability on prairie wetland water quality.

农药归宿模型可用于预测土壤中农药和雌激素的归宿。当大规模使用时，农药归宿模型应用的不确定性的主要来源之一是对农药/雌激素吸附和降解输入参数的空间变异性了解不足。因此，拟议的研究将研究两个丘状地形中农药/雌激素吸附和降解的空间变异性，并基于这些知识，利用数字地形模型开发一种改进的大规模随机农药归宿建模方法。 Prairie Pothole 地区（770,000 平方公里）拥有数百万片与农业用地相关的湿地。例如，本研究中心的两个丘状地形各有约 200 个湿地。草原湿地的水位对气候变化很敏感，但这些信息尚未纳入湿地水中农药浓度的估计中。因此，通过使用四个草原湿地的数字高程模型，拟议的研究将完善现有的水文模型，以提供模拟气候变化对草原湿地农药浓度影响的方法。这项研究的重要性至少有三个原因：（1）这将是第一项详细确定土壤景观水平土壤剖面中新兴污染物（雌激素）命运的研究； （2）该研究将导致大规模监管和环境风险评估的重大改进，（3）新的湿地水模型将提高我们对气候变化对草原湿地水质影响的认识。