不确定PAHT聚类算法在滑坡危险性预测上的应用
|
摘要
针对滑坡预测聚类研究中由于难以确定传统聚类算法需要预先设置的簇个数和无法精准衡量不确定因素降雨量导致预测效果欠佳的问题,提出一种新的聚类算法——不确定PAHT(partition algorithm on the hierarchical thinking)算法。该算法引入一种不确定数据模型——M-D距离,有效刻画了不确定的雨量数据;并结合层次聚类思想,通过找出最佳阈值p~*自动确定k值。以延安宝塔区为实例进行对比实验,实验结果验证了不确定M-D距离和PAHT算法的有效性及不确定PAHT算法在滑坡危险性预测上的可行性。
In the clustering study of landslide prediction,the difficulties of determining the number of clusters which traditional clustering algorithm needs to set in advance and accurately measuring the important factor of landslide induced-rainfall leads to bad prediction effect. Therefore,this paper proposed a new clustering algorithm-uncertain PAHT algorithm. The algorithm introduced a kind of uncertain data model called M-D distance,which effectively measured the uncertain rainfall; and based on the hierarchical clustering thinking,through finding the best threshold p~* to determine the k value. Contrast experiment in Yan'an Baota district as an example,the experimental results verify the effectiveness of uncertain M-D distance and PAHT algorithm and the feasibility of uncertain PAHT algorithm on the landslide hazard prediction.
In the clustering study of landslide prediction,the difficulties of determining the number of clusters which traditional clustering algorithm needs to set in advance and accurately measuring the important factor of landslide induced-rainfall leads to bad prediction effect. Therefore,this paper proposed a new clustering algorithm-uncertain PAHT algorithm. The algorithm introduced a kind of uncertain data model called M-D distance,which effectively measured the uncertain rainfall; and based on the hierarchical clustering thinking,through finding the best threshold p~* to determine the k value. Contrast experiment in Yan'an Baota district as an example,the experimental results verify the effectiveness of uncertain M-D distance and PAHT algorithm and the feasibility of uncertain PAHT algorithm on the landslide hazard prediction.
引文
[1]张俊,殷坤龙,王佳佳,等.三峡库区万州区滑坡灾害易发性评价研究[J].岩石力学与工程学报,2016,35(2):284-296.(Zhang Jun,Yin Kunlong,Wang Jiajia,et al.Evaluation of landslide susceptibility for Wanzhou district of Three Gorges Reservoir[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(2):284-296.)
[2]郭靖.黔西玄武岩地区滑坡易发性评价及玄武岩风化程度判别研究[D].长沙:中南大学,2012.(Guo Jing.Landslide susceptibility assessment and evaluation of weathering intensity of basalt in Western Guizhou[D].Changsha:Central South University,2012.)
[3]胡畅.三峡库区秭归-巴东段典型顺层滑坡预测判据研究[D].武汉:中国地质大学,2013.(Hu Chang.Study on the prediction criterion of bedding landslide in the area from Zigui to Badong segment of the Three Gorges Reservoir area[D].Wuhan:China University of Geosciences,2013.)
[4]夏元友.系统加权聚类法及其在滑坡稳定性预测中的应用[J].自然灾害学报,1997,6(3):85-91.(Xia Yuanyou.System weighted clustering method and its application in prediction of landslide stability[J].Journal of Natural Disasters,1997,6(3):85-91.)
[5]陈黎飞,姜青山,王声瑞.基于层次划分的最佳聚类数确定方法[J].软件学报,2008,19(1):62-72.(Chen Lifei,Jiang Qinshan,Wang Shengrui.A hierarchical method for determining the number of clusters[J].Journal of Software,2008,19(1):62-72.)
[6]陆亿红,夏聪.不确定数据的最优K近邻和局部密度聚类算法[J].控制与决策,2016,31(3):541-546.(Lu Yihong,Xia Cong.Optimal K-nearest neighbors and local density-based clustering algorithm for uncertain data[J].Control and Decision,2016,31(3):541-546.)
[7]罗清华,彭宇,彭喜元.一种多维不确定性数据流聚类算法[J].仪器仪表学报,2013,34(6):1330-1338.(Luo Qinghua,Peng Yu,Peng Xiyuan.Multi-dimensional uncertain data stream clustering algorithm[J].Chinese Journal of Scientific Instrument,2013,34(6):1330-1338.)
[8]De Carvalho F A T,De Souza R M C R,Chavent M,et al.Adaptive Hausdorff distances and dynamic clustering of symbolic interval data[J].Pattern Recognition Letters,2006,27(3):167-179.
[9]杨莉,李南.软件项目风险应对措施优选的区间模型及其算法[J].控制与决策,2011,26(4):530-534.(Yang Li,Li Nan.Interval model and its algorithm for optimal selecting of software project risk response actions[J].Control and Decision,2011,26(4):530-534.)
[10]汪沁,奚李峰.数据结构[M].北京:清华大学出版社,2009.(Wang Qin,Xi Lifeng.Data structure[M].Beijing:Tsinghua University Press,2009.)
[11]Han Jiawei,Kamber M.数据挖掘概念与技术[M].范明,孟小峰,译.北京:机械工业出版社,2007:186-188.(Han Jiawei,Kamber M.Data mining concepts and techniques data[M].Fan Ming,Meng Xiaofeng,Trans.Beijing:China Machine Press,2007:186-188.)
[12]刘卫明,高晓东,毛伊敏,等.不确定遗传神经网络在滑坡危险性预测中的研究与应用[J].计算机工程,2017,43(2):308-316.(Liu Weiming,Gao Xiaodong,Mao Yimin,et al.Research and application of uncertain genetic neural network in landslide hazard prediction[J].Computer Engineering,2017,43(2):308-316.)
[13]毛伊敏,张茂省,程秀娟,等.基于不确定贝叶斯分类技术的滑坡危险性评价[J].中国矿业大学学报,2015,44(4):769-774.(Mao Yimin,Zhang Maosheng,Cheng Xiujuan,et al.Landslide hazards assessment based on uncertain Bayesian classification method[J].Journal of China University of Mining&Technology,2015,44(4):769-774.)
[14]Yeon Y K,Han J G,Ryu K H.Landslide susceptibility mapping in Injae,Korea,using decision tree[J].Engineering Geo-logy,2010,116(3):274-283.
[15]Guzzetti F,Carrara A,Cardinali M,et al.Landslide hazard evaluation:a review of current techniques and their application in a multiscale study[J].Geomorphology,1999,31(1-4):181-216.
[16]吕启,窦勇,牛新,等.基于DBN模型的遥感图像分类[J].计算机研究与发展,2014,51(9):1911-1918.(Lyu Qi,Dou Yong,Niu Xin,et al.Remote sensing image classification based on DBN model[J].Journal of Computer Research and Development,2014,51(9):1911-1918.)
[17]姜洋,李艳,刘东.基于TM影像属性和形态特征的土地覆被制图方法[J].地球信息科学学报,2014,16(1):117-125.(Jiang Yang,Li Yan,Liu Dong.Land cover mapping method based on TMimage attributes and morphological characteristics[J].Journal of GEO-Information Science,2014,16(1):117-125.)
[18]秦鹏程,刘敏,李兰.有效降水指数在暴雨洪涝监测和评估中的应用[J].中国农业气象,2016,37(1):84-90.(Qin Pengcheng,Liu Min,Li Lan.Application of effective precipitation index in rainstorm flood disaster monitoring and assessment[J].Chinese Journal of Agrometeorology,2016,37(1):84-90.)
[2]郭靖.黔西玄武岩地区滑坡易发性评价及玄武岩风化程度判别研究[D].长沙:中南大学,2012.(Guo Jing.Landslide susceptibility assessment and evaluation of weathering intensity of basalt in Western Guizhou[D].Changsha:Central South University,2012.)
[3]胡畅.三峡库区秭归-巴东段典型顺层滑坡预测判据研究[D].武汉:中国地质大学,2013.(Hu Chang.Study on the prediction criterion of bedding landslide in the area from Zigui to Badong segment of the Three Gorges Reservoir area[D].Wuhan:China University of Geosciences,2013.)
[4]夏元友.系统加权聚类法及其在滑坡稳定性预测中的应用[J].自然灾害学报,1997,6(3):85-91.(Xia Yuanyou.System weighted clustering method and its application in prediction of landslide stability[J].Journal of Natural Disasters,1997,6(3):85-91.)
[5]陈黎飞,姜青山,王声瑞.基于层次划分的最佳聚类数确定方法[J].软件学报,2008,19(1):62-72.(Chen Lifei,Jiang Qinshan,Wang Shengrui.A hierarchical method for determining the number of clusters[J].Journal of Software,2008,19(1):62-72.)
[6]陆亿红,夏聪.不确定数据的最优K近邻和局部密度聚类算法[J].控制与决策,2016,31(3):541-546.(Lu Yihong,Xia Cong.Optimal K-nearest neighbors and local density-based clustering algorithm for uncertain data[J].Control and Decision,2016,31(3):541-546.)
[7]罗清华,彭宇,彭喜元.一种多维不确定性数据流聚类算法[J].仪器仪表学报,2013,34(6):1330-1338.(Luo Qinghua,Peng Yu,Peng Xiyuan.Multi-dimensional uncertain data stream clustering algorithm[J].Chinese Journal of Scientific Instrument,2013,34(6):1330-1338.)
[8]De Carvalho F A T,De Souza R M C R,Chavent M,et al.Adaptive Hausdorff distances and dynamic clustering of symbolic interval data[J].Pattern Recognition Letters,2006,27(3):167-179.
[9]杨莉,李南.软件项目风险应对措施优选的区间模型及其算法[J].控制与决策,2011,26(4):530-534.(Yang Li,Li Nan.Interval model and its algorithm for optimal selecting of software project risk response actions[J].Control and Decision,2011,26(4):530-534.)
[10]汪沁,奚李峰.数据结构[M].北京:清华大学出版社,2009.(Wang Qin,Xi Lifeng.Data structure[M].Beijing:Tsinghua University Press,2009.)
[11]Han Jiawei,Kamber M.数据挖掘概念与技术[M].范明,孟小峰,译.北京:机械工业出版社,2007:186-188.(Han Jiawei,Kamber M.Data mining concepts and techniques data[M].Fan Ming,Meng Xiaofeng,Trans.Beijing:China Machine Press,2007:186-188.)
[12]刘卫明,高晓东,毛伊敏,等.不确定遗传神经网络在滑坡危险性预测中的研究与应用[J].计算机工程,2017,43(2):308-316.(Liu Weiming,Gao Xiaodong,Mao Yimin,et al.Research and application of uncertain genetic neural network in landslide hazard prediction[J].Computer Engineering,2017,43(2):308-316.)
[13]毛伊敏,张茂省,程秀娟,等.基于不确定贝叶斯分类技术的滑坡危险性评价[J].中国矿业大学学报,2015,44(4):769-774.(Mao Yimin,Zhang Maosheng,Cheng Xiujuan,et al.Landslide hazards assessment based on uncertain Bayesian classification method[J].Journal of China University of Mining&Technology,2015,44(4):769-774.)
[14]Yeon Y K,Han J G,Ryu K H.Landslide susceptibility mapping in Injae,Korea,using decision tree[J].Engineering Geo-logy,2010,116(3):274-283.
[15]Guzzetti F,Carrara A,Cardinali M,et al.Landslide hazard evaluation:a review of current techniques and their application in a multiscale study[J].Geomorphology,1999,31(1-4):181-216.
[16]吕启,窦勇,牛新,等.基于DBN模型的遥感图像分类[J].计算机研究与发展,2014,51(9):1911-1918.(Lyu Qi,Dou Yong,Niu Xin,et al.Remote sensing image classification based on DBN model[J].Journal of Computer Research and Development,2014,51(9):1911-1918.)
[17]姜洋,李艳,刘东.基于TM影像属性和形态特征的土地覆被制图方法[J].地球信息科学学报,2014,16(1):117-125.(Jiang Yang,Li Yan,Liu Dong.Land cover mapping method based on TMimage attributes and morphological characteristics[J].Journal of GEO-Information Science,2014,16(1):117-125.)
[18]秦鹏程,刘敏,李兰.有效降水指数在暴雨洪涝监测和评估中的应用[J].中国农业气象,2016,37(1):84-90.(Qin Pengcheng,Liu Min,Li Lan.Application of effective precipitation index in rainstorm flood disaster monitoring and assessment[J].Chinese Journal of Agrometeorology,2016,37(1):84-90.)
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |