Title :
Study on the pre-warning system of ecosystem health in mineral area
Author :
Zhang, Li-ning ; Jing An ; Lin, Da-chao ; Zhang, Qi
Author_Institution :
Achademy of Mech.-Electr. Eng., Beijing Inst. of Technol., Beijing, Chad
Abstract :
Study on the mining ecosystem health has important theoretical and practical significance for the sustainable development of mining areas. This research firstly overviews the present condition of ecosystem health research in mineral area, sets up the pre-warning system based on the information entropy and the unascertained C-clusters, then picks up and establishes the indicator system of ecosystem health. With actual example, makes reduction on the indicator system through entropy measure to remove the redundant attributes, and to find the minimum sets of uncertainty factors which influence the mining ecosystem health, then to predict the risk degree of ecosystem health in mineral area by using the unascertained C-clusters. At last, some countermeasures are given. The study can provide a new method and a new way for the dynamic pre-warning of ecosystem health in mineral area.
Keywords :
ecology; minerals; mining; sustainable development; information entropy; mineral area; mining ecosystem health; prewarning system; risk degree; sustainable development; unascertained C-clusters; Economics; Ecosystems; Entropy; Indexes; Information entropy; Mineral resources; Ecosystem health in mineral area; Information entropy; Pre-warning system research; The unascertained C-clusters;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987029