| Based on the analysis of the theoretical framework of revegetation, user needs, and the collection of the plenty of successful revegetation cases, the revegetation potentiality evaluation model, the pioneer plant speicies selection model and readjustment schemes for abandoned lands selection model were integrated in a decision support system for revegetation of abandoned lands contaminated from coal mining activities, which was developed in ASP.NET. The main works of this research are as follows:(1) Based on the analysis of the fuzzy integrated evaluation & gray relating priority analysis algorithms, A revegetation potentiality model was integrated and used to evaluate the revegetation potentiality of abandoned land and identify the revegetation priority in different regions.(2)Based on the analysis of climate-substrate similarity theory, the distance-based similarity algorithm was modified, and the pioneer plant speicies selection model was integrated in the DSS. This model could select the proper plant speicies for revegetation, by considering the similarity of the climate and substrate between the target site and successful revegetated cases.(3)The clastic production rule was selected to express the knowledge on revegetation of abandoned wastes, and the rule-based reasoning was used to build the readjustment schemes for abandoned land selection model. This model was used to identify the engineering reclamation and amendment schemes on the abandoned wastes based on the analysis of waste type, mining mode, and ground status and so on.The prototype system was pilot used in Fu Xin colliery, Liao Ning province in the northeast of China, which was proved to be useful for the local enterprises. |
