高放废物处置库预选场地地学信息库的建立

本文以高放废物处置库预选场地甘肃北山玉门镇地学信息库的建立为例,详细阐述了地理信息系统在高放废物地质处置中的应用,并在此基础上分析了其应用前景,为不同层次的管理、科研人员提供了全新思路;介绍了将地理信息系统技术引入图件和资料管理的优点。     

矿床统计预测单元划分的方法与程序

在矿床统计预测中,如何确定最佳的统计预测单元,目前尚无通用的准则和算法,它的划分往往取决于地质学家对研究区控矿条件的认识,矿化的实际分布殂态及统计预测所采用的评价模型等多种因素。系统功能齐全,基本上满足了资源评价的各种需求,实现了预测单元划分的自动化和智能化。     

INVESTIGATION OF STATUS AND DEMAND ON PUBLIC SERVICE OF EARTHQUAKE DISASTER MITIGATION IN CHINA

In order to make a comprehensive and systematic evaluation of the status and demands of public service of earthquake disaster mitigation, we launched an investigation with Social Opinion Polling Center of National Bureau of Statistics on the current situation of public service of earthquake disaster mitigation and the demands for it in 2018. The investigation was conducted for 18~75-year-old residents for both urban and rural areas in 31 provinces of China mainland using the Computer Assisted Telephone Interview(CATI)method and 20 078 valid samples were received in total. The questionnaire mainly includes two parts: the current situation assessment and the demand survey. The assessment of public service status consists of five indicators: earthquake emergency drill, knowledge publicity of earthquake prevention and disaster reduction, acquisition of earthquake information, reliability of information released by earthquake agencies, and overall satisfaction. The results indicate that only 27.4% of public have participated the earthquake emergency drill, and 73.5% of public have learned some knowledge about earthquake prevention and disaster reduction in different level. It shows that rural residents have a lower level of scientific knowledge of earthquake disaster mitigation although the rural residents have a higher level of satisfaction. Meanwhile, 82.9% of the public are very concerned about earthquake-related information, and the earthquake information acquisition convenience score is 81.51 points(the full score is 100 points). At present, TV is still the most popular way to obtain the earthquake-related information, besides that, network and the new media app such as Wechat and Weibo play a more and more important role. In terms of the reliability of official information published by the earthquake administration, the score is 83.69 points which indicates that the public tend to believe in official departments. Furthermore, the degree of satisfaction evaluation of public service of earthquake disaster mitigation is marked 76.44 points which shows that there is still much room for improvement. The more educated the public, the less satisfied they are with the public service of earthquake prevention and disaster reduction. The results also show that 51.81% of the public are willing to obtain earthquake warning information at their own expense. As for the demand, the most expectative services for the public are post-earthquake rescue and reconstruction, earthquake warning, and house earthquake resilience test. The results of the investigation may provide some reference for the government to provide better services of earthquake disaster mitigation and to make scientific knowledge popularization in a more scientific way.     

武汉市初中毕业生地震知识调查

为了解初中毕业生地震科普知识的掌握情况，自行设计了武汉市初中毕业生地震科普知识调查问卷，对100名武汉市初中毕业生进行现场调查。调查结果为良、中、差等级分别占4%、18%、78%。 说明武汉市初中毕业生地震科普知识掌握情况令人堪忧，应尽早加强中学生地震科普知识教育， 以提高全民防震减灾意识。     

新型知识观下高校旅游管理专业课程知识的构建思考

旅游管理专业是1998年新设置的高校本科专业,受学科专业特点和旅游职业需求的影响,其课程知识与传统的学科专业相比,具有很强的实践性.为此,其课程知识的构建,需要深入认识旅游管理专业课程知识的特点,建立起"科学-人本观"的构建价值取向,并充分唤醒教学参与者的主体意识,发挥课堂对课程知识的构建作用.     

格尔木－额济纳旗地学断面岩石图结构的磁场分析

在格尔木－额济纳旗地学断面的综合研究中，处理和解释了沿断面实测的高精度磁测剖面和大范围的航磁资料．所采用的处理方法有视磁化率填图、长波磁异常提取、方向滤波和航磁数字图像处理，并反演了地壳磁层的上、下界面深度．依据资料处理结果，对研究区内构造断裂的分布、不同地体和构造单元的划分与边界位置及岩浆活动性等都提出了新的认识．利用位场模拟方法，得出了代表格尔木－额济纳旗地学断面内地壳结构的磁模型．     

应用KDD技术分析气象地质灾害与降水的关系

应用人工智能技术——数据库中知识发现(KDD)技术,分析研究发生在云南省境内造成重大损失的气象地质灾害的发生与当日及前期降水的关系。结果表明,绝大多数气象地质灾害都是由强降水诱发的,云南气象地质灾害与发生当日及前期降水的关系主要有3种类型,即暴雨诱发型、多日中大雨诱发型和连阴雨诱发型。所得到的云南气象地质灾害与当日及前期降水的定量关系,为云南地质灾害的气象监测、预报模式的建立提供了依据。     

冰雪灾害条件下地质灾害应急抢险处置知识构成分析

知识库是冰雪灾害条件下地质灾害应急抢险决策支持系统的核心,知识库中的知识构成则是整个研究的基础。本文按照产生式规则法的知识表示方式,分别分析了冰雪灾害条件下地质灾害应急抢险处置知识的前提及结论部分的主要构成内容,并总结了应急抢险处置措施选择应该遵循的基本原则,另外还给出了根据知识构成抽取具体知识的范例,为冰雪灾害条件下地质灾害应急抢险知识库及决策支持系统的建立提供了基础性研究成果。     

基于ALBERT模型的园林植物知识实体与关系抽取方法

园林植物知识图谱可为顾及区域适应性、观赏性和生态性等因子的绿化树种的选型提供知识支持。植物描述文本的实体识别及关系抽取是知识图谱构建的关键环节。针对植物领域未有公开的标注数据集,本文阐述了园林植物数据集的构建流程,定义了园林植物的概念体系结构,完成了园林植物语料库的构建。针对现有Word2vec、ELMo和BERT等语言模型存在无法解决多义词、融合上下文能力差、运行速度慢等缺点,提出了嵌入ALBERT（A Lite BERT）预训练语言模型的实体识别和关系抽取模型。ALBERT预训练的动态词向量能够有效地表示文本特征,将其分别输入到BiGRU-CRF命名实体识别模型和BiGRU-Attention关系抽取模型中进行训练,进一步提升实体识别和关系抽取的效果。在园林植物语料库上进行方法的有效性验证,结果表明ALBERT-BiGRU-CRF命名实体识别模型的F₁值为0.9517,ALBERT-BiGRU-Attention关系抽取模型的F₁值为0.9161,相较于经典的语言模型（如Word2vec、ELMo和BERT等）性能有较为显著的提升。因此基于ALBERT模型的实体与关系抽取任务能有效提高识别分类效果,可将其应用于植物描述文本的实体关系抽取任务中,为园林植物知识图谱自动构建提供方法。