A method based on graph neural network (GNN) clustering was proposed for the regional classification of mountain flood risk in open-pit mining areas, so as to address the issue of spatial relationships neglected in existing classification methods. The research area selects the Baiyunebo mining area, and the classification method of mountain flood risk in mining area mainly consists of three steps. Firstly, the remote sensing images of the mining area were selected to divide into grid units and each grid was used as a node of the map. The node features mainly included elevation, slope, aspect, rainfall and precipitation. Secondly, the cosine similarity method was used to calculate the similarity of environmental features and represent the spatial relationship of similar nodes as edges, constructing an adjacency matrix. Thirdly, the constructed graph and corresponding adjacency matrix were input into the network model, which adopted an encoder architecture consisting of graph sample and aggregate (GraphSAGE) and graph attention network (GAT). The KL divergence loss function was used to optimize the model, ultimately achieving clustering prediction of the classification of mountain flood risk in the Bayyunebo mining area. The experimental results show that the clustering accuracy of the model reaches 87.5%, which is 11.2, 9.4 and 5.3 percentage points higher than traditional clustering algorithms k-means, hierarchical clustering, and random forest, respectively. The research result can verify the ability of this method to classify mountain flood risk in open-pit mining areas and can provide a reference for the prevention of mountain flood in open-pit mining areas.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |