Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

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.     

产业地理集聚与外商直接投资产业分布——以北京市制造业为例

外商直接投资理论强调跨国公司的垄断优势和东道国的区位优势决定外商直接投资的产业分布。本文认为外商直接投资的产业分布还可能取决于因产业地理集聚和地方化贸易所形成的竞争优势。本文采用1999~2004年北京外商直接投资的产业流资料建立面板数据回归模型,引入产业地理集聚系数、产业联系等变量来研究影响外资产业分布的因素。统计分析表明,在空间上比较集聚、产业内联系较强的产业能够吸引更多的外商直接投资;前期外商投资对于跟进投资具有显著的示范效应、信息溢出效应以及产业联系效应,从而直接导致外资的产业累积效应。外商也强烈偏好资本技术密集型产业以及在国际市场上具有显著比较优势、盈利率高的产业。外商在充分利用其垄断优势、产业比较优势和竞争优势的同时,也尽量避开实际劳动成本较高和进入壁垒较高的垄断性产业。本文的结果显示,发挥本地优势,完善产业配套,促成产业集群是提升城市吸引外商直接投资的有效途径。     

全球-地方联结与产业集群的技术学习--以河南许昌发制品产业为例

以产业区理论、管制理论和全球生产网络理论为基础,以学习创新为核心,构建了一个融生产体系与社会生产体制、制度与协调机制、地方生产网络、全球生产网络“四位一体”的学习型产业区分析框架;运用该框架,以河南许昌发制品产业集群为案例,研究了全球-地方网络联结的方式、动态及其对技术学习的影响。研究发现,通过全球与地方生产网络的建构和有机联结,传统产业集群的技术学习是可以从“低端道路”迈向“高端道路”的,发展学习型产业区应作为我国经济发展与技术创新的一项重大战略和政策。     

A new load balancing scheme on heterogeneous database cluster

IntroductionAlthoughthe development of cluster has gainedmore and more advantages of low-cost ,high-per-formance and high-availability computing, effi-cient resource usage such as CPU, memory andI/Ois still a keyto achieve better performanceincluster syst…     

欠发达地区工业园区发展动力机制与实证研究

随着沿海发达地区民间资本积累的不断增加和产业结构的高度化,大量的民间富余资本从沿海发达地区流向内陆欠发达地区,众多的制造产业也开始大规模地向中西部欠发达地区转移。在这一背景下,欠发迭地区的工业园区建设如火如茶。为了总结欠发达地区工业园区建设的成功经验,并进一步探索工业园区发展的内在规律,文章从分析欠发达地区的经济社会特征入手,通过区位、成本、政府作用、外部辐射及制度文化因素等多个方面对其发展的动力机制做了较为深入的探究,并结合实例对理论分析作了初步验证。     

东北老工业基地核心城市物流体系规划研究——以哈尔滨市为例

振兴东北老工业基地是我国重大区域发展战略之一,其关键环节在于促使核心城市快速发展,发挥其对区域的带动作用。文章以哈尔滨市为例,分析了核心城市物流发展对推动东北老工业基地振兴的基础作用。在运用城市物流规划理论与方法、借鉴国内外经验的基础上,结合城市发展需要和现存问题,对哈尔滨市城市物流体系规划进行了探讨,为其他城市的物流规划提供了一定的思路和模式借鉴。     

Photoelectric observations in a wide-field area around the Praesepe cluster

The PPM catalogue numbers, photoelectric magnitudes V, color-indexes U – B, B – V, V – R and rms errors of their determinations for 51 stars of the secondary wide-angle photoelectric standard are published. The catalogue accuracy of quantities mentioned above is 0.007, 0.015, 0.006, 0.006 mag, respectively. A list of ten stars which are probably variable is published.     

理想点法在矿床工业价值评价中的应用

应用理想点法的基本原理,建立了一个矿床工业价值评价的数学模型,以我国贵州省兴义市雄武地区铀矿床为实例,构造评价函数得出最优解,结果表明:理想点法能够正确评价出矿床工业价值的大小,为矿石的最优开采提供有价值的参考。     

CA FCM方案与其它几种人工增雨评估方案的比较

对河南省12次飞机增雨作业,分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归分析方案、区域趋势协变量多元回归分析方案、浮动对比区历史回归分析方案（FCM）、以降水量为协变量的CAFCM（ClusterAnalysis〖CD*2〗based Floating Control historical regression Method）方案和以降水量和整层大气可降水量为协变量的CAFCM方案进行效果评估,均得到大于15％的相对增雨量。对结果比较分析表明：协变量由降水量和整层大气降水量两个组成的C     

基于Mycat的分布式技术在收集与分发系统中的应用

基于Mycat的分布式数据库集群,采用了 Mycat+Mysql+Haproxy+Keepalived的技术架构,实现了一个高可用、高性能和高扩展的分布式数据库集群系统,并对单机版Mysql数据库和基于Mycat分布式数据库集群进行性能比较.结果表明,基于Mycat的分布式技术研发数据库集群系统具有高效性和可行性,可以...