地震背景噪声成像技术研究进展与展望

背景噪声成像技术是21世纪以来地震学研究最为重要的突破性进展之一.该方法不依赖于天然地震事件的发生,利用连续地震记录中普遍存在的"背景噪声",通过不同台站对间连续时间信号的互相关来提取经验格林函数并用以进行地下介质结构成像研究.与传统的天然源地震探测手段相比,背景噪声成像技术从随机场源信号中提取介质结构的信息,具有成像...     

面向海运统计的AIS大数据挖掘分析研究

为解决传统海运产业统计方法数据质量不高、时效性差、统计产品陈旧短缺、公信力不足等的问题,提出基于AIS大数据挖掘分析开展海运统计的方法.详细阐述了基于AIS大数据的海运统计分析技术路线、大数据平台技术架构,以及电子围栏分析、航行事件分析、航次分析和统计指标生成等关键模型算法.以2019年3月至5月全球大宗货品船舶的AIS数据应用为例表明,该方法可提供港口、海上通道和大宗货品三方面的海运大数据统计指标,为实现海运即时化、准确化、精细化的统计分析与展现提供了新思路.     

房屋震害等级的模糊评定

针对云南省最近几次地震破坏中采用的震害指数评定方法,运用模糊数学的分析方法,对震害等级评定作了较详细的定量分析,为震害等级的模糊评定作了有益的尝试.     

Three‐dimensional finite element analyses of passive pile behaviour

Piles may be subjected to lateral soil pressures as a result of lateral soil movements from nearby construction‐related activities such as embankment construction or excavation operations. Three‐dimensional finite element analyses have been carried out to investigate the response of a single pile when subjected to lateral soil movements. The pile and the soil were modelled using 20‐node quadrilateral brick elements with reduced integration. For compatibility between the soil–pile interface elements, 27‐node quadrilateral brick elements with reduced integration were used to model the soil around the pile adjacent to the soil–pile interface. A Mohr–Coulomb elastic–plastic constitutive model with large‐strain mode was assumed for the soil. The analyses indicate that the behaviour of the pile was significantly influenced by the pile flexibility, the magnitude of soil movement, the pile head boundary conditions, the shape of the soil movement profile and the thickness of the moving soil mass. Reasonable agreement is found between some existing published solutions and those developed herein. Copyright © 2005 John Wiley & Sons, Ltd.     

曹县努力做好国土资源信访工作

曹县国土资源局认真贯彻执行国务院《信访条例》、《国土资源信访规定》及有关法律法规政策，充分发挥信访这一“窗口”与“纽带”作用，把信访问题解决在基层和萌芽状态。近年来，群众信访量持续下降，维护了社会稳定，自2003年，连续3年被菏泽市人事局、菏泽市国土资源局评为全市国土资源系统信访工作先进单位，2005年被评为全省国土资源信访先进单位。     

杭州市伏、秋旱灾害风险区划

根据杭州市1959-2010年降水资料、自然环境以及社会经济要素,综合致灾因子、孕灾环境、承灾环境及防灾减灾能力,构建区域干旱灾害风险评价模型。通过ArcGIS空间分析技术结合模糊综合评价法,编制以100 m＆#215;100 m栅格为基本评价单元的杭州市伏、秋旱灾害风险区划图。区划结果表明,淳安西北部、建德中南部、桐庐中部、富阳南部、临安东部以及余杭、主城区,伏旱、秋旱灾害风险均较高。     

The response of warm-season precipitation extremes in China to global warming: an observational perspective from radiosonde measurements

Consensus has been reached that precipitation extremes vary proportionally with global warming. Nevertheless, the underlying cause and magnitude of these factors affecting their relationships remain highly debated. To elucidate the complex relationship between precipitation extremes and temperature in China during the warm seasons (May through September), a 60-year (1958–2017) record of hourly rain gauge measurements, in combination with surface air temperature, RH, precipitable water (PW), and convective available potential energy (CAPE) collected from 120 radiosonde stations were examined. Spatially, the scaling relationship between precipitation extremes and temperature exhibits a large geographic difference across China. In particular, the Clausius–Clapeyron (CC) and sub-CC relationships tend to occur in northwest (ROI-N) and southeast China (ROI-S), whereas the super-CC relationship is found to mainly concentrates in central China (ROI-C). Additionally, the response of precipitation extremes to temperature becomes more sensitive as precipitation intensity increases, shifting from CC to super-CC at a certain point of inflection that varies by geographic regions. This shift occurs at approximately 15 °C in ROI-C and ROI-N, but at around 20 °C in ROI-S. Within the temperature range of the super-CC slope, the PW rises with the increases in temperature, whereas the CAPE decreases with rising temperature, which is contrary to the monotonic scaling of precipitation with temperature. From the perspective of interannual variation, the precipitation extremes correlate positively with temperature. This further confirms the notion that global warming, through jointly affecting PW and CAPE, is able to considerably regulate precipitation extremes.     

吉林省春季人工增雨潜力及指标的数值模拟研究

利用吉林省业务运行的中尺度数值模式WRF3.3.1,分析了2016年4月12日吉林省一次春季降水过程的人工增雨潜力,选取比湿、上升气流、K指数、冰面过饱和度、云水厚度共5种与人工增雨潜力密切相关的指标,作为吉林省春季人工增雨潜力判别的因子。结果表明：吉林省春季850 hPa比湿和K指数与降水量存在相关关系,比湿小于2.9 g·kg^-1几乎不产生降水,产生2 mm以上的降水比湿几乎均大于4.5 g·kg^-1,K指数大于22℃。将850 hPa比湿大于4.5 g·kg^-1、K指数大于22℃、积分云水含量大于0.2 mm、高层冰面过饱和度大于0和低层垂直速度大于0.4 m·s^-1作为强增雨潜力区的指标,并利用春季其他个例对该指标进行检验,发现该指标基本能够表征云内的动力、热力和微物理条件,可以作为人工增雨潜力区的判别指标。     

气象旅游资源评估方法与应用研究

在对国内气象旅游资源评估方法分析研究的基础上,从气象旅游资源相关因素中,筛选出了7个指标,创建了气象旅游资源评估指标体系,提出了评估方法。计算每个评估指标的实际数值并进行标准化处理。采用专家咨询和层次分析法相结合的方法对评估指标体系中的每一级指标赋予相应的权重,最终构建出气象旅游资源评估模型。在实例研究中,以大连为例,选取葫芦岛、东港、鞍山和岫岩等4个城市为对照,结合多年的气候统计数据,分别计算5个城市的气象旅游资源评估指数,并进行横向对比分析,找出各城市气象旅游资源的优势和不足。     

Guptasarma线性滤波算法在CSAMT一维正演中的应用

CSAMT法一维正演问题,其核心运算是对汉克尔变换的求解,目前主要使用数值滤波方法进行求解,求解过程中使用给定长度的滤波系数进行累加运算.滤波系数的选取,影响着正演计算的精度和速度.这里使用Guptasarma线性滤波系数,并给出具体实现方法.经过正演模型验证,发现这套方案可以在较短的滤波系数长度基础上,与正演模型拟合...