基于多源数据融合的山地实况业务体系建设

【目的】探讨和实践基于多源数据融合的山地实况业务体系建设,以提高山地地区的监测、预警和灾害应对能力。【方法】通过分析山地地区面临的地理环境、气象条件以及自然灾害的特点,以及基于对已有实况业务发展的现状分析,建设全面、精准、实时的山地实况业务体系。【结果】明确贵州省实况产品建设方向并介绍了在山地实况业务体系建设中的技术路线,包括数据采集、传输、处理、展示、全流程监控等关键步骤,以及各环节的技术创新和方法改进。最后分析了面向重大服务、重点行业、重要区域开展有针对性的实况产品服务时仍需重点解决的问题。【结论】该文的研究成果为山地区域的实况业务体系建设提供了思路和方法,对于提升山地区域的灾害管理水平具有实际应用价值。     

铜仁市短时强降水阈值及时空分布初探

【目的】为分析铜仁区域短时强降水极端阈值及分布特征。【方法】利用铜仁区域内10个国家级台站2006—2022年3—11月逐日逐时降水资料,分别挑选1 h、2 h、3 h降水极值和次极值进行升序排列,基于第95个百分位的基本方法综合判定阈值,通过常规统计结果判定其分布特征。【结果】1 h降水量≥25 mm、2 h降水量≥40 mm、3 h降水量≥50 mm均可作为铜仁区域短时强降水的阈值。松桃是铜仁市短时强降水的高值中心,江口为次中心。西部5县和东部的万山6月份为短时强降水高发月份;东部松桃、碧江、玉屏7月为高发月份,江口以8月为主。铜仁区域短时强降水主要集中在5—8月,占总日数的84.4%,且67.3%的短时强降水以单站形式出现,短时强降水的局地性明显。铜仁发生短时强降水以夜间为主,江口最为明显,短时强降水夜间频数与短时强降水总频数之比达到84.9%,夜间短时强降水量与短时强降水总量之比达到86.5%,短时强降水较降水总量的夜雨性更为明显。【结论】该研究对深入了解铜仁区域短时强降水作了有益的探索,对科学制定强降水“三个叫应”指标和防灾减灾具有一定的指导意义。     

Extensive Cold-Precipitation-Freezing Events in Southern China and Their Circulation Characteristics

Concurrence of low temperature,precipitation and freezing weather in an extensive area would cause devastating impacts on local economy and society.We call such a combination of concurrent disastrous weather“extensive coldprecipitation-freezing”events(ECPFEs).In this study,the ECPFEs in southern China(15°?35°N,102°?123°E)are objectively defined by using daily surface observational data for the period 1951?2013.An ECPFE in southern China is defined if the low temperature area,precipitation area and freezing area concurrently exceed their respective thresholds for at least three consecutive days.The identified ECPFEs are shown to be reasonable and reliable,compared with those in previous studies.The circulation anomalies in ECPFEs are characterized by a large-scale tilted ridge and trough pairing over mid-and high-latitude Eurasia,and the intensified subtropical westerlies along the southern foot of the Tibetan Plateau and the anomalous anticyclonic circulation over the subtropical western Pacific.Comparative analysis reveals that the stable cold air from the north and the warm and moist air from the south converge,facilitating a favorable environment for the concurrence of extensive low-temperature,precipitation and freezing weather.     

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

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.     

唐山7.8级地震前地磁异常的综合分析

利用昌黎等台的磁测资料,并用多种方法进行综合分析,结果显示,在震前出现了约3个月的短期异常,这对于地震的预测预报有一定意义。     

邢台7.2级地震的发震背景特征

主要从太阳黑子活动、地震迁移、地震韵律和月相等各方面,对邢台地震的发震背景进行了分析。结果显示,这些背景特征是很突出的。认为地震的发生,可能受到多种因素的影响和制约,研究发震背景特征对于我们认识地震和预测未来地震都是有一定意义的。     

广西姑婆山里松花岗岩中闪长质包体的地球化学特征及其成因探讨

广西姑婆山里松花岗岩中广泛发育有大量的闪长质包体,包体的野外地质特征、显微结构、矿物组合及化学组成等特征显示其岩浆快速结晶成因。它们的主量元素在相关图上呈不同程度的直线变异关系。在微量元素方面,包体和寄主花岗岩都富含大离子亲石元素和高场强元素。用锆石饱和温度和角闪石成分估算了包体和寄主花岗岩结晶的温度和压力表明,它们的结晶温度和压力条件相近,分别在793—824℃和（3．5—5．1）×10^8Pa范围内。岩石学和同位素地球化学特征也表明,里松包体和寄主花岗岩基本同时结晶,但壳幔比例和来源有所不同。这些特征总体上说明了里松闪长质包体可能是两种岩浆混合时不完全消化的产物     

西藏洛巴堆矽卡岩型铁多金属矿床石榴子石和锆石U-Pb测年及地质意义

石榴子石是矽卡岩型矿床中最常见的蚀变矿物之一,因此,对石榴子石进行年代学研究能够准确限定矽卡岩型矿床的成矿时代.青藏高原冈底斯成矿带中部发育众多矽卡岩型多金属矿床,由于缺乏精确的成矿年代学数据,制约着对这些矿床成因和动力学背景的深入认识.因此,文章以该成矿带具有代表性的洛巴堆矽卡岩型铁多金属矿床为研究对象,通过对赋矿矽...     

吉林省重大暴雨过程评估方法研究

应用Barnes滤波原理,构建合适的带通滤波器,获取了中尺度信息,对2005年7月21～24日台风"海棠"登陆后与中纬度系统相互作用给河南省造成的暴雨过程进行了分析.结果表明:在台风外围大尺度气旋性环流中,中尺度低压、中尺度辐合线和辐合区是此次暴雨的直接影响系统;台风低压移近后,与西太平洋副高之间气压梯度加大,可以在副高西南侧形成东南风低空急流,东南急流的形成促使中尺度系统加强和发展;干冷空气自对流层中层向低层伸展,与低层的暖湿气流交汇,使对流和暴雨加强.     

郑州局地强对流天气的形成机制与预报方法

应用常规报文和1°×1°的NCEP再分析资料.采用天气学分析和物理量诊断方法,对2004年郑州市出现的4次强对流天气的天气形势、单站要素特征和一些物理参数进行了深入的分析.结果表明:西北气流或华北低涡时,存在着低层辐射增温和高层冷平流降温这一对流不稳定能量迅速增强的机制,有利于对流天气发生.地面提前1～3 h出现的中尺度辐合线是强对流发生的触发机制.单站θse的垂直空间分布特征、大气排熵指数、垂直风切变、大气可降水量等参数的量值可判断强对流天气的类型.