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

针对墨西哥湾漏油事件，正在开发基于一维信号产生二维图像的创新型超宽带雷达传感器网络成像方法。利用这些技术可以测量滩土的反射率。溢油滩土反射率与正常滩土反射率的差异反映了溢油对滩土介电特性的影响。石油泄漏改变了滩涂土壤的扩散，石油污染大大降低了沙土的承载能力，影响了建筑地基，可能引起建筑安全问题。在这个项目中，正在开发土壤反射率、含油量和压缩指数之间关系的模型。研究跨越多个学科，包括传感器网络、雷达、地球科学与遥感、土木工程与岩土技术、信号与图像处理、无线通信和模式识别；研究小组包括来自三个部门（电气工程、土木工程和CSE）的四名调查员。该项目有望为雷达遥感和雷达传感器网络方法评估溢油对海滩土壤的影响产生新的结果。

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.