Quality Prediction for Flooding Water from a Data Acquisition Perspective

摘要

For the assessment of the resulting risk for men and environment caused by mine flooding, as well as for minimizing the risk, for instance by water treatment, models are necessary for recording the state of flooding water and forecasting adequately essential changes of the chemical and physical state. To develop such models and to acquire input data results from on-site experiments, in laboratory, and from large-scale field tests are required. This paper concerns with data acquisition by on-site investigations and in the laboratory for the description of the chemical system. Especially the investigation of particle size distribution in the flooding water at the face in mine and the partial characterization of organic components by analysing the contents of humic and fulvic acids in the laboratory are discussed.