University of Naples Federico II, Department of Agricultural Sciences, via Università 100, 80055 Portici Naples, NA, Italy.
Gulu University, Department of Biosystems Engineering, P.O. Box 166, Gulu, Uganda.
Sci Total Environ. 2015 May 1;514:298-306. doi: 10.1016/j.scitotenv.2015.01.109. Epub 2015 Feb 7.
Campania Region of Southern Italy has a complex environmental situation, due to geogenic and anthropogenic soil pollution. Some of the pollutants such as copper are mobilized in the organic matter. It has been shown that wetlands provide physical as well as biogeochemical barriers against pollutants. Therefore, the objective of this study was to introduce and test an innovative approach able to predict copper accumulation points at plot scales, using a combination of aerial photos, taken by drones, micro-rill network modelling and wetland prediction indices usually used at catchment scales. Data were collected from an area measuring 4500 m(2) in Trentola Ducenta locality of Caserta Province of southern Italy. The photos processing with a fifth generation software for photogrammetry resulted in a high resolution Digital Elevation Model (DEM), used to study micro-rill processes. The DEM was also used to test the ability of Topographic Index (TI) and the Clima-Topographic Index (CTI) to predict copper sedimentation points at plot scale (0.1-10 ha) by comparing the map of the predicted and the actual copper distribution in the field. The DEM obtained with a resolution of 30 mm showed a high potential for the study of micro-rill processes and TI and CTI indices were able to predict zones of copper accumulation at a plot scale.
意大利南部坎帕尼亚地区由于地质和人为土壤污染，环境状况复杂。一些污染物，如铜，在有机质中被迁移。湿地为污染物提供了物理和生物地球化学屏障，这一点已经得到证实。因此，本研究的目的是引入并测试一种创新方法，该方法能够结合由无人机拍摄的航空照片、微沟网模型和通常在流域尺度上使用的湿地预测指数，预测在斑块尺度上的铜积累点。数据来自意大利南部卡塞塔省特伦托拉·杜森塔镇的一个 4500 平方米的区域。使用第五代摄影测量软件对照片进行处理，得到了一个高分辨率的数字高程模型（DEM），用于研究微沟过程。DEM 还用于通过比较现场预测的和实际的铜分布地图，测试地形指数（TI）和气候地形指数（CTI）在斑块尺度（0.1-10 公顷）预测铜沉降点的能力。分辨率为 30 毫米的 DEM 显示出研究微沟过程的巨大潜力，TI 和 CTI 指数能够在斑块尺度上预测铜积累区。
