一种基于机器学习算法的岩性填图方法     

冀全伟  王文磊  刘治博  祝茂强  袁长江 《地质力学学报》2021,27(3):339-349

通过野外地质调查与机器学习方法的有机融合,提出了一种基于梯度提升决策树算法的岩性单元填图方法。研究以多龙矿集区为模型试验区,选择1∶5万勘查地球化学数据为基础预测数据,以1∶5万区域地质图为参考,进行基于梯度提升决策树算法的岩性预测填图模型试验。首先选择研究区内小范围空白区开展野外填图,建立原始数据集并初步构建岩性单元与预测数据对应关系;其次利用机器学习方法对预测数据进行多分类任务,进而开展目标填图区预测填图工作;最后通过概率选区选定概率较低目标区,开展进一步的小范围野外地质调查填图,对原始数据和知识库进行补充,迭代循环以上流程,直至预测填图达到要求。试验显示,随着迭代次数的增加,模型精度不断提高,并在7次迭代后模型准确率达到87%。该方法强调在实际应用中野外地质调查与基于机器学习预测填图的深度融合,以及野外实地工作在整个流程中的重要性和不可或缺性;同时能够充分挖掘已有数据资料的有用信息,用于辅助修正已有岩性填图内容,或根据已勘探区资料对邻近的未勘探区进行岩性分类,有效减少野外填图工作量,是对岩性填图方法、地质单元定量预测识别的有益探索,为区域地质填图工作提供了新的参考思路和辅助手段。   相似文献   

迭代法建立的低频模型在储层反演中的应用     

王伟  李炳颖  黄鑫  陈易周 《中国地质调查》2021,8(1):125-133

储层预测的精度直接制约着油气开发的经济性与有效性,而低频信息的补偿是改善储层反演效果的有利途径之一。常规的测井曲线内插低通滤波建模方法难以精细表征复杂地质背景下的低频模型。为降低研究区特殊地质体对储层反演带来的影响,采用迭代法建立低频模型,建模中分步考虑压实作用、特殊岩性等因素影响,并通过反演效果不断迭代更新低频模型,最终准确建立反映不同岩性(包含火山岩)的反演低频模型。研究表明: 该方法能够保证储层反演结果的可靠性,为储层精细描述提供了资料; 同时基于反演结果,对东海西湖凹陷W气田主力层(P1)有利储层进行重新刻画,优化了开发井水平段的位置,该井实施结果证实钻遇了优质储层。用迭代法建立的低频模型为复杂地质背景地区储层预测提供了一种更有效的建模方法。  相似文献   

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks     

Husam A.H.Al-Najjar  Biswajeet Pradhan 《地学前缘(英文版)》2021,12(2):625-637

In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models.  相似文献   

一种基于微服务架构的突发事件预警辅助决策系统的设计与实现     

陈石定  刘翔  汪应琼 《南京气象学院学报》2019,11(5):609-620

单体式架构应用在突发事件预警辅助决策系统开发中不能满足现实需求,本文引入了微服务架构设计开发该辅助决策系统.通过分析微服务架构在复杂系统中相对于传统单体式架构的应用优势,设计出一种基于微服务架构的突发事件预警信息发布辅助决策系统,该系统选用Spring Cloud微服务框架,并对其进行适当的扩展,创建了基于该系统设计的注册中心与网关.系统采用二三维一体化地理信息系统作为展示平台,通过接入各行业静态、危险源动态监测数据,根据设定的模型进行数据融合、处理,辅助进行预警信息生成、发布及应急处置阶段的指挥决策.所设计方案在湖北省突发事件预警发布辅助决策系统中得以实际应用,验证了该类系统使用微服务架构的合理性和有效性.  相似文献   

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure     

《Applied geography (Sevenoaks, England)》2015

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.  相似文献   

Monitoring land changes in an urban area using satellite imagery,GIS and landscape metrics     

《Applied geography (Sevenoaks, England)》2015

Monitoring land changes is an important activity in landscape planning and resource management. In this study, we analyze urban land changes in Atlanta metropolitan area through the combined use of satellite imagery, geographic information systems (GIS), and landscape metrics. The study site is a fast-growing large metropolis in the United States, which contains a mosaic of complex landscape types. Our method consisted of two major components: remote sensing-based land classification and GIS-based land change analysis. Specifically, we adopted a stratified image classification strategy combined with a GIS-based spatial reclassification procedure to map land classes from Landsat Thematic Mapper (TM) scenes acquired in two different years. Then, we analyzed the spatial variation and expansion of urban land changes across the entire metropolitan area through post classification change detection and a variety of GIS-based operations. We further examined the size, pattern, and nature of land changes using landscape metrics to examine the size, pattern, and nature of land changes. This study has demonstrated the usefulness of integrating remote sensing with GIS and landscape metrics in land change analysis that allows the characterization of spatial patterns and helps reveal the underlying processes of urban land changes. Our results indicate a transition of urbanization patterns in the study site with a limited outward expansion despite the dominant suburbanization process.  相似文献   

基于地貌单元的小区域地质灾害易发性分区方法研究   总被引：10，自引：0，他引：10  

唐川  马国超 《地理科学》2015,(1)

以汶川县城周边区域为研究区,分别以栅格单元与地貌单元作为单位评价单元,以信息量法与逻辑回归法两种评价模型对研究区进行地质灾害易发性评价分区。根据对评价结果的比较分析,在小区域范围内,基于地貌单元的区域易发性分区不仅仅能够更好地体现出区域内局部综合特性,而且评价分区结果与地质灾害实际分布情况更加吻合,分级层次更加明显,数学模型的适用效率很好。由此可见,在小范围区域内,基于地貌单元的地质灾害易发性评价分区具有良好的适用性与可塑性,在大比例尺地质灾害易发性和危险性制图中是一个有益的尝试与启发。  相似文献   

地面自动气象观测设备运行状态信息检测技术   总被引：1，自引：0，他引：1  

李雁  周青  李峰  周薇  徐鸣一  梁海河 《气象科技》2015,43(6):1030-1039

地面自动气象观测设备运行状态检测机制不足一直是困扰我国地面气象观测运行保障工作的一大难题。本研究从运行监控实际业务需求角度出发,在梳理现有业务运行地面自动气象观测设备结构基础上,结合部分研究成果,从数据采集模块、气压观测模块、温湿度观测模块、风观测模块、地温观测模块、雨量观测模块、供电系统模块、软件模块、能见度观测模块和称重降水观测模块共10个方面逐一细化了每一主要部件的状态检测点,并对其进行了分类和编码,同时参考现行业务运行设备长Z数据报文,制定了地面自动气象观测设备运行状态报文规范,最终研制了地面自动气象观测设备运行状态信息检测技术。通过统一规范、标准,研究结果可解决目前我国地面自动气象观测设备监控信息设计规范缺失的问题,可缓解当前厂家多、型号杂、设备不统一的不利局面,有利于推进地面自动气象观测设备运行监控技术规范化建设工作。  相似文献   

国土“一张图”移动系统的设计与实现     

钟远军  李照  林澍哲  黎慧斌 《地理信息世界》2015,(2):117-119,123

针对移动GIS在国土管理上的应用,运用面向地理信息服务的思想,探讨移动终端地理信息应用的关键技术,总结基于"SOA+离线地图"的移动终端通用地理信息应用模式,并以服务型地理信息公共平台为依托,实现跨平台的移动地图应用。  相似文献   

基于Android平台的葡萄园精准管理移动GIS系统研究     

陈鹏  胡心浩  谢欢  刘世杰  童小华 《地理信息世界》2015,(1):47-51

面向葡萄园移动信息采集和管理的需求,设计了基于移动终端的葡萄园信息管理系统,并在Android平台下开发实现了一个基于移动GIS技术的葡萄园信息管理系统。该葡萄园移动信息管理系统除基本的GIS地图功能外,能够采集和实时回传农田基础信息,远程控制葡萄园滴灌设备,并结合平板电脑的摄像头实现远程实时视频诊断。经过在宁夏回族自治区青铜峡市甘城子乡的葡萄园的应用试验证明,该系统能提高农业信息化水平,为葡萄生产提供定位定量的空间信息服务。  相似文献