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基于多因素加权灰靶决策模型的滑坡灾害危险性评价

高彩云 崔希民

中南大学学报(自然科学版)Issue(2):524-530,7.
中南大学学报(自然科学版)Issue(2):524-530,7.DOI:10.11817/j.issn.1672-7207.2016.02.024

基于多因素加权灰靶决策模型的滑坡灾害危险性评价

Landslide risk assessment based on multi-index weighted grey target decision model

高彩云 1崔希民2

作者信息

  • 1. 中国矿业大学 北京 地球科学与测绘工程学院,北京,100083
  • 2. 河南城建学院测绘工程学院,河南平顶山,467044
  • 折叠

摘要

Abstract

Starting from the geological environmental conditions within Wanzhou district in Chongqing, the 11 influencing factors were selected, including elevation, slope, precipitation, human engineering activity and so on. Based on grey target decision theory, the weights for screened evaluation influencing factors were determined based on grey association analysis method, and then multi-index weighted grey target model about hazard susceptibility assessment of landslide was established. According to off-target distance, landslide risk classification standards are established, and then the landslide risk rating was divided into high, moderate and low. Based on weighting-grey target decision evaluation model, 6 landslides risks in study area were assessed and analyzed. Each landslide risk was obtained.Compared with evaluation results of adaptive euro-fuzzy inference system, ANN and PSO-BP algorithm, the evaluation results are consistent with actual situation and reasonable. Thus, the model can provide a new idea for landslide hazard evaluation.

关键词

滑坡/危险性评价/灰靶决策/靶心距/权重

Key words

landslide/risk assessment/grey target decision/off-target distance/weight

分类

天文与地球科学

引用本文复制引用

高彩云,崔希民..基于多因素加权灰靶决策模型的滑坡灾害危险性评价[J].中南大学学报(自然科学版),2016,(2):524-530,7.

基金项目

国家自然科学基金资助项目(51474217);矿山空间信息技术国家测绘地理信息局重点实验室基金资助项目(KLM201306);江西省数字国土重点实验室基金资助项目(DLLJ201508)(Project (51474217) supported by the National Natural Science Foundation of China (51474217)

Project (KLM201306) supported by Key Laboratory of Mine Spatial Information Technologies of National Administration of Surveying, Mapping and Geoinformation (KLM201306)

Project (DLLJ201508) supported by Jiangxi Province Key Lab for Digital Land) (DLLJ201508)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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