首页|信息量模型与Logistic回归模型耦合方法在新安江流域地质灾害易发性评价中的应用

信息量模型与Logistic回归模型耦合方法在新安江流域地质灾害易发性评价中的应用

扫码查看
遥感数据结合数学模型评价流域地质灾害易发性,可用于辅助开展地质灾害预警工作.本文利用信息量模型与Logistic回归模型耦合的方法,基于地理国情数据、多源卫星遥感影像数据、数字高程模型等基础数据,以及地质、土壤、地质灾害等方面的专题数据,选取地质灾害影响因子,对新安江流域地质灾害易发性情况进行分区评价.结果表明,信息量模型与Logistic回归模型耦合方法在地质灾害易发性评价中能够较好地考虑到影响因子间的相关性,保证了地质灾害易发性评价结果的可靠性.信息量模型与Logistic回归模型耦合方法进行新安江流域地质灾害易发性分区的评价表明,高易发区和较高易发区主要分布在人类活动强度较大的河流两岸和道路沿线,该结果与实际地质灾害点分布特征较为吻合,可为新安江流域防灾、减灾工作提供参考.
Application of coupling method of information model and Logistic regression model in geological hazard susceptibility evaluation of Xin'an River Basin
Remote sensing data combined with mathematical model to evaluate the geological hazard susceptibility in river basins can help to carry out geological hazard early-warning.This paper uses the method of information model and logistic regression model coupling method to carry out regional eo-logical hazard susceptibility evaluation in the Xin'an River Basin by using the basic data such as geo-graphic national data,multi-source satellite remote sensing image data,digital elevation model,as well as the thematic data of geology,soil and geological hazard,and selecting the impact factors of geologi-cal hazard.The results show that the coupling method of information model and Logistic regression model can take into account the correlation between the impact factors and ensure the reliability of the evaluation results of geological hazard susceptibility.The mentioned method is used to evaluate the sus-ceptibility zoning of geological hazards in the Xin'an River Basin.It is concluded that high and higher susceptibility areas are mainly distributed along both sides of rivers and roads with large human activity intensity.The results are consistent with the actual distribution characteristics of geological hazard points,which can provide reference for hazard prevention and reduction in the Xin'an River Basin.

remote sensing monitoringinformation modelLogistic regression modelimpact factorsusceptibility

杨春明、张建新

展开 >

安徽省第四测绘院 安徽 合肥 230031

遥感监测 信息量模型 Logistic回归模型 影响因子 易发性

2024

测绘标准化
国家测绘局测绘标准化研究所

测绘标准化

影响因子:0.407
ISSN:
年,卷(期):2024.40(3)