Analysis and Modelling of Fuel Laundering Site using geospatial technology

北爱尔兰的燃料洗钱行为给英国税务海关总署带来了巨大的收入损失，对环境和地方政府造成的损害甚至更大，因为地方政府承担着清理这些非法丢弃的有毒副产品的财政负担。该项目将对燃料洗钱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、洗钱设施和应对规划。该模型将在直观的多标准分析（MCA）中考虑许多地理空间变量，利用地球观测（EO）数据集（包括高光谱和SAR）；利用发现的倾倒场地和洗涤设施的记录进行水质研究和人工神经网络（ANN）的训练。

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.