RAPID: Collaborative Research: Gulf of Mexico Oil Spill Impact on Beach Soil: Radar and Radar Sensor Network-Based Approaches

为了应对墨西哥湾漏油事件，正在开发基于一维信号生成二维图像的创新UWB雷达传感器网络成像方法。 利用这些技术可以测量海滩土壤反射率。溢油海滩土壤反射率与正常海滩土壤反射率的差异反映了溢油引起的介电特性变化。 石油泄漏改变了海滩土壤的分散性，石油污染大大降低了沙子的承载力，这会影响建筑物的基础，并可能导致建筑物的安全问题。在该项目中，正在开发土壤反射率、油含量和压缩指数之间关系的模型。 该研究跨越多个学科，包括传感器网络，雷达，地球科学和遥感，土木工程和地球技术，信号和图像处理，无线通信和模式识别;研究团队包括来自三个部门（EE，土木工程和CSE）的四名研究人员。该项目有望产生新的成果，雷达遥感和雷达传感器网络的方法来评估石油泄漏对海滩土壤的影响。

In response to the Gulf of Mexico oil spill innovative UWB radar sensor network imaging methodologies to produce 2-D image based on 1-D signals are under development. Using these techniques beach soil reflectivity can be measured. The differences between the reflectivity of oil spilled beach soil and that of the normal beach soil shows the dielectric property changes due to oil spill. The oil spill has changed the beach soil dispersion, and oil contamination drastically reduces the bearing capacity of sand, which impacts building foundations and may cause building safety issue. In this project, models of the relations between soil reflectivity, oil content, and compression index are under development. The research crosses multiple disciplines, including sensor networks, radars, geoscience and remote sensing, civil engineering and geotechnology, signal and image processing, wireless communications, and pattern recognition; the research team includes four investigators drawn from three departments (EE, Civil Engineering, and CSE). This project promises to generate new results for radar remote sensing and radar sensor network approaches to assessing oil spill impact on beach soil.