Analysis and Modelling of Fuel Laundering Site using geospatial technology

使用地理空间技术对燃料清洗场进行分析和建模

• 批准号: 2750793
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2750793
• 关键词: Analysis; Modelling; Fuel; Laundering; Site

Fuel laundering in Northern Ireland represents a substantial cost in lost revenue to HMRC and an even greater cost in damage to the environment and local government which shoulders the financial burden for cleaning these illegally discarded toxic by-products. This project will develop an extensive analysis of the available data from fuel laundering activity, leading to the design of a geospatial model for prediction of both undetected illegal waste dumping locations, laundering facilities, and response planning. This model will consider many geospatial variables in an intuitive Multi-criteria Analysis (MCA), exploitation of Earth observation (EO) datasets (including Hyper-Spectral and SAR); Water quality studies and the training of an Artificial Neural Network (ANN) using the record of discovered dumping sites and laundering facilities.

北方爱尔兰的燃料清洗给HMRC造成了巨大的收入损失，对环境和当地政府造成了更大的损失，因为当地政府承担了清理这些非法丢弃的有毒副产品的财政负担。该项目将对燃料清洗活动的现有数据进行广泛分析，从而设计一个地理空间模型，用于预测未被发现的非法废物倾倒地点、清洗设施和应对计划。该模型将在一个直观的多标准分析（MCA）中考虑许多地理空间变量，利用地球观测（EO）数据集（包括超光谱和SAR）;水质研究和使用发现的倾倒场和洗涤设施的记录训练人工神经网络（ANN）。