Capolupo Alessandra, Pindozzi Stefania, Okello Collins, Boccia Lorenzo
University of Naples Federico II, Department of Agricultural Sciences, Portici.
Geospat Health. 2014 Dec 1;8(3):S699-707. doi: 10.4081/gh.2014.298.
The accumulation of heavy metals in agricultural soils is a serious environmental problem. The Campania region in southern Italy has higher levels of cancer risk, presumably due to the accumulation of geogenic and anthropogenic soil pollutants, some of which have been incorporated into organic matter. The aim of this study was to introduce and test an innovative, field-applicable methodology to detect heavy metal accumulation using drone-based photogrammetry and microrill network modelling, specifically to generate wetlands wetlands prediction indices normally applied at large catchment scales, such as a large geographic basin. The processing of aerial photos taken using a hexacopter equipped with fifth-generation software for photogrammetry allowed the generation of a digital elevation model (DEM) with a resolution as high as 30 mm. Not only this provided a high potential for the study of micro-rill processes, but it was also useful for testing and comparing the capability of the topographic index (TI) and the clima-topographic index (CTI) to predict heavy metal sedimentation points at scales from 0.1 to 10 ha. Our results indicate that the TI and CTI indices can be used to predict points of heavy metal accumulation for small field catchments.
农业土壤中重金属的积累是一个严重的环境问题。意大利南部的坎帕尼亚地区癌症风险水平较高，可能是由于地质成因和人为土壤污染物的积累，其中一些已融入有机物质中。本研究的目的是引入并测试一种创新的、可在实地应用的方法，利用无人机摄影测量和微沟网络建模来检测重金属积累，特别是生成通常应用于大流域尺度（如大地理盆地）的湿地预测指数。使用配备第五代摄影测量软件的六轴无人机拍摄的航空照片进行处理，能够生成分辨率高达30毫米的数字高程模型（DEM）。这不仅为微沟过程的研究提供了很大潜力，而且对于测试和比较地形指数（TI）和气候地形指数（CTI）在0.1至10公顷尺度上预测重金属沉积点的能力也很有用。我们的结果表明，TI和CTI指数可用于预测小流域集水区的重金属积累点。
