线状自然灾害风险地图的自动综合——以铁路承灾体为例

Automatic Generalization for Line Features in Risk Mapping of Natural Hazard:Taking Railway Hazard-Affected Bodies as an Example

在地理学与地图学的基础上,从灾害系统的角度,探讨了图层约束(LC)和道格拉斯-普克(DP)相结合的线状地图自动综合问题。以铁路线为例,构建了基于地震长期烈度区划、滑坡危险性、泥石流灾害活动程度、多年平均最大积雪深度、水灾频次、沙尘暴年最大日数和湖泊分布等图层信息的约束源数据库,结合铁路密度与综合致灾强度风险矩阵,实现了分区、分段铁路承灾体的自动综合,揭示了多尺度下铁路密度分布的区域规律。

Disaster-formative environment can magnify or shrink the vulnerability of hazard- affected body and the losses of disaster. Based on geography and cartography science, from the perspective of disaster system, the problem of linear hazard-affected bodyrs cartographic generalization was discussed based on layer constraints and Douglas-Peucker. Taking rail- ways as an example, the constrained layers database was constructed, the six layers were seismic long-term intensity zoning, the risk of landslides disasters, and activity level of deb- ris flow, mean annual maximum snow depth, flooding frequency, maximum annual day numbers of dust storms and the distribution of lakes. Combined with railway density and risk matrix of integrated hazard intensity, the automatic generalization of railway hazard-af- fected bodies was done in different regions and sections. The results reveal a regional rule for railway density distribution under multi-scales.