Pesticides exposure modeling based on GIS and remote sensing land use data
Pesticides exposure modeling based on GIS and remote sensing land use data
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DOI：
10.1016/j.apgeog.2014.11.012
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发表时间：
2015-01-01
影响因子：
4.9
通讯作者：
Wan, Neng
中科院分区：
文献类型：
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作者：
Wan, Neng
接触农业农药与多种公共卫生问题有关。然而，此类调查通常受到暴露信息不足和研究区域较小的限制。本文提出了一种 GIS 方法，用于生成大面积人口接触特定农药成分的客观信息。具体来说，它整合了来自遥感图像、人口网格数据和县级农药使用数据的土地利用信息，以模拟整个内布拉斯加州的居民接触农药的情况。以莠去津为例，本研究演示了如何根据所提出的方法得出有用的农药暴露指标，以及如何将信息扩大到区域水平以与公共卫生数据集相匹配。还检查和讨论了内布拉斯加州阿特拉津暴露的空间模式。这种方法对于评估环境健康研究中不同农药成分的暴露具有巨大的潜力。 (C) 2014 Elsevier Ltd. 保留所有权利。
Exposure to agricultural pesticides has been linked with a variety of public health problems. However, such investigations were generally restricted by inadequate exposure information and small study areas. This article presents a GIS approach to generate objective information of population exposure to specific pesticide ingredients for large areas. Specifically, it integrates land use information that was derived from remote sensing images, population grid data, and county level pesticide usage data to model residential exposure to pesticides for the entire state of Nebraska. Using Atrazine as an example, this study demonstrated how to derive useful indicators of pesticide exposure based on the proposed method and how to up-scale the information to area levels to match up with public health datasets. The spatial pattern of exposure to Atrazine in Nebraska was also examined and discussed. This approach has great potential for assessing exposure to different pesticide ingredients in environment-health studies. (C) 2014 Elsevier Ltd. All rights reserved.