An intelligent decision support system for revegetation and reclamation of land contaminated from coal mine wastes

摘要: Abandoned coal mine wastes can result in severe pollution and have aesthetic impact on the local environment. A range of reclamation techniques is available for substrate but only through use vegetation to stabilize complete long-term rehabilitation be achieved. Experimentation has been undertaken at sites attempt elucidate overcome limitations establishment, allowing large-scale revegetation schemes formulated. Although such often successful specific sites, their widespread application limited owing great variation physical, chemical biological factors which exist between wastes. An intelligent decision system was developed. This paper presents a research develop evaluate Decision Support System (DSS) land contaminated from mining activates. GIS based being developed tested by China Agricultural University, funded Asia IT&C programme. looks why spatial DSS needed what are advantages difficulties developing using system. The system’s architecture components described. Some valuable insights into as tool support plan activities highlighted. * Key Laboratory Modern Precision Agriculture Integration, Beijing, 100083, P. R. Reviewed Dr Joanna Kulczycka