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Generalization for point features in risk mapping of natural hazards based on layer constraint
图层约束下的点状自然灾害风险地图综合

Keywords: cartographic generalization,layer constraint (LC),risk map of natural hazard,landslides,fuzzy inference system
制图综合
,图层约束,自然灾害风险地图,滑坡,模糊推理系统

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Abstract:

Point-like natural disaster phenomena, such as earthquakes, landslides, etc., have complex linkages and interactions with their surrounding geographical environment. Disaster environment on the disaster may enlarge or reduce effect. In the process of cartographic generalization, only considering a single point of individual disasters is not enough. Based on Geography and Cartography, but from the perspective of a disaster system, the applicability issues of automatic generalization of point phenomena are explored by combing the layer constraint (LC) and Fuzzy Inference System (FIS). A landslide-disaster automatic-generalization technology, based on LC and FIS, is discussed. Taking landslides as an example, an automated comprehensive application of the constraint layers, including landslide hazard zoning, terrain slope, landform regionalization, long-term seismic intensity zoning, annual torrential rain days, and annual precipitation was developed. The experiment results showed that there are three key landslide areas in China, which are the eastern slope of the Qinghai-Tibet Plateau, the Loess Plateau, and the Taihang Mountain landslide area, Wushan-Wuling Mountain Area landslide. Our research can provide an effective way for automatic generalization of natural disaster risk maps under the constraints of multi-scales and multi-layers. It can also provide a more efficient, more accurate decision-making support and technical support for disaster risk management of different regional scales.

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