Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer   总被引：1，自引：0，他引：1  

Wei Chen  Xi Chen  Jianbing Peng  Mahdi Panahi  Saro Lee 《地学前缘(英文版)》2021,12(1):93-107

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.  相似文献   

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management   总被引：1，自引：0，他引：1  

Zizheng Guo  Yu Shi  Faming Huang  Xuanmei Fan  Jinsong Huang 《地学前缘(英文版)》2021,12(6):243-261

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.  相似文献   

94/220 GHz星载雷达双波长比对非球形冰晶云参数敏感性分析          下载免费PDF全文

吴举秀  窦芳丽  安大伟  顾瑜  周青  刘伟 《气象学报》2019,77(3):529-540

利用不同形状冰晶的散射特性,获得了非球形冰晶云的94/220 GHz测云雷达双波长比,探讨了非球形冰晶云的双波长比与云内微物理参数的关系,分析了衰减前后的星载雷达反射率因子及双波长比的垂直廓线。结果表明:（1）双波长比可以反映小到0.1 mm中值尺度的冰粒子,对粒子总数、谱的形状参数不敏感,对粒子大小、形状、云衰减较敏感。（2）雷达灵敏度一定时,星载雷达可测云厚与雷达波长、冰含水量（IWC）的垂直分布、云厚及衰减有关;没有进行衰减订正时,双波长比和衰减有关,冰含水量越大,波长越短,衰减越大,双波长比最大值与可探测云厚有关。两部雷达可探测冰含水量为0.001—0.1 g/m3、厚2 km的冰云;当云厚5 km、冰含水量垂直分布在0.001—0.2 g/m3时,云厚的94%基本可以被220 GHz云雷达探测到。（3）如果两部雷达气象方程中用水的介电因子,测量回波强度应进行介电因子的订正后再计算双波长比。   相似文献   

台风“摩羯”与“温比亚”环流中龙卷小尺度涡旋特征及可预警性分析          下载免费PDF全文

刁秀广  孟宪贵  张立  任钟冬  赵海军 《山东气象》2019,39(3):19-28

利用多普勒天气雷达探测资料,结合常规气象观测资料和天气实况及灾情调查,对2018年8月14日台风“摩羯”（1814）和8月19日台风“温比亚”（1818）产生龙卷的环境物理量及龙卷风暴强度结构特征进行了分析,对诱发龙卷和未诱发龙卷的小尺度气旋性涡旋特征进行了对比。结果表明：两次台风减弱低压东北象限是龙卷发生的关键区,低层高湿,强的低层垂直风切变和大的相对风暴螺旋度是关键物理量;龙卷出现时都伴有ΔV＞20.0 m·s-1的小尺度气旋性涡旋,且基本出现在2.0 km高度以下,但并不是所有这种低层小尺度气旋性涡旋都能诱发龙卷;以ΔV＞20.0 m·s-1为阈值,龙卷识别具有较高的命中率,识别准确率为31.8%,空报率为67.4%,漏报率为6.7%;约35.7%的龙卷没有识别时间提前量,半数龙卷几乎没有预警时间提前量。  相似文献   

降水对江浙沪PM_(2.5)的清除效率研究     

范凡  陆尔  葛宝珠  王自发 《气象科学》2019,39(2):178-186

为了解不同程度的降水对江浙沪地区大气PM_(2.5)的清除作用,搜集了2014—2016年该地区41个城市的降水和PM_(2.5)观测数据,通过对比2 a非降水和全时段PM_(2.5)平均浓度的差异,发现前者显著高于后者,说明降水对该地区PM_(2.5)具有清除作用。利用降水前与降水期间PM_(2.5)的浓度差异作为降水对PM_(2.5)的清除率,降水后与降水期间的浓度差异作为雨后浓度回升的增加率,分别研究了目标区域不同时期、不同降雨量以及不同降雨时长对PM_(2.5)的清除效果。结果显示:(1)与江浙沪南部地区不同的是,北部地区降水清除率与降水前浓度存在正相关,降水后浓度的增加与当地的排放量呈正相关。(2)当降水量为30 mm或者降水时长为36 h时,清除率增幅减缓,说明降水对PM_(2.5)的清除效率存在着阈值。  相似文献   

微动法在划分岩溶塌陷隐患区域中的应用     

梁东辉  徐虎  谭磊  刘福达  江树海 《地质论评》2023,69(Z1):481-482

  相似文献   

常州市地下水化学特征与成因分析     

苏东  龚绪龙  杨磊  黄敬军  许书刚  龚亚兵  崔龙玉 《地质论评》2023,69(3):1039-1049

常州市是长江三角洲地区典型的工业化城市,多年来的快速发展对地下水环境产生了系列影响,地下水化学组分受到天然条件和人为活动的双重因素控制,现状地下水化学成因和影响因素亟需深入研究。本文在地下水赋存条件分析的基础上,综合采用统计分析、离子比值、主成分分析法对常州各层地下水化学特征和成因开展分析。结果表明,区域潜水水化学类型以HCO₃^-—Ca²⁺·Mg²⁺、HCO₃^-—Ca²⁺和HCO₃^-·Cl^-—Na⁺·Ca²⁺型为主,第Ⅰ承压水以HCO₃^-—Na⁺·Ca²⁺和HCO₃^-—Ca²⁺型为主、第Ⅱ承压水以HCO₃^-—Na⁺  相似文献   

非饱和土地基中复合多层波阻板对S波的隔离效应     

舒进辉  马强  常立君 《岩土力学》2023,44(1):217-231

基于弹性波在非饱和多孔介质与单相弹性介质中的传播理论,考虑在非饱和土地基中设置一定厚度的复合多层波阻板（复合多层波阻板以3层为例）,利用Helmholtz矢量分解定理,推导了非饱和土地基中S波通过复合多层波阻板的透射、反射振幅比的解析解。通过数值算例,分析了层间波阻板剪切模量和密度等物理力学参数对非饱和土地基中S波通过复合多层波阻板时传播特性的影响规律。结果表明：复合多层波阻板中层间波阻板材料的剪切模量和密度对透反射系数影响显著。复合多层波阻板是一种有效的隔振屏障,严格控制层间波阻板的剪切模量和密度可以获得最佳隔振效果,这为复合多层波阻板在地基振动控制领域中的应用提供理论指导。  相似文献   

长条状粗颗粒在垂直管路中最小输送速度试验研究     

符瑜  肖红  夏建新 《海洋工程》2019,37(4):63-69

随着陆地金属资源的日益枯竭,深海矿产资源已经成为各国的重要战略目标。在深海采矿过程中,海底锰结核的形状除了圆球状,还有长条状等,颗粒形状对固液两相流管道输送特性具有很大影响。基于固液两相流垂直管道提升输送试验系统,探究不同工况下长条状颗粒在垂直上升流中最小输送速度的变化规律及特性,并得到了长条状群体颗粒最小输送速度计算公式。结果表明:长条状颗粒在垂直管道中上升过程中,颗粒中心轴与输送方向趋向于垂直,使颗粒在管道截面的投影面积最大化;长条状单颗粒的最小输送速度随着颗粒长径比增大而减小;在不同长径比工况下,随着管段颗粒平均浓度减小,长条状群体颗粒的最小输送速度均增大,且随着长径比增大,群最小输送速度减小。  相似文献   

九寨沟7.0级地震房屋震害现场调查及其破坏特征   总被引：2，自引：0，他引：2       下载免费PDF全文

张令心  朱柏洁  陶正如  陈相兆 《地震工程学报》2019,41(4):1053-1059

2017年8月8日四川省阿坝州九寨沟县发生7.0级地震,震源深度20 km,造成大量房屋不同程度的破坏,引发地质灾害。针对Ⅷ、Ⅸ区的337栋不同结构类型的房屋进行了震害特征分析,给出震害矩阵,揭示各类结构房屋的破坏机理。经过统计,所调查的房屋中3.3%的建筑保持完好,19.9%的建筑发生轻微破坏,51.3%的建筑发生中等破坏,21.1%的建筑发生严重破坏,4.5%的建筑发生毁坏。经过调查,钢筋混凝土框架结构、大跨度空间结构、钢框架结构以及采用木板作为填充墙的穿斗式木构架房屋在本次地震中表现良好。分析表明,经过合理的抗震设计,基本达到了中震可修的抗震设防目标,极大程度地保护了人们的生命及财产安全。  相似文献