Google地图应用之广东省地区JOPENS地震速报系统

利用Google公司提供的电子地图服务,以B/S结构(即浏览器和服务器结构)作为系统设计架构,监听JOPENS实时系统发送的地震触发消息,访问JOPENS数据库,根据广东省地区的监测要求,制定检索、筛选策略,获取地震详细信息,显示在浏览器网页上.采用Google地图的JOPENS地震速报系统可以使地震信息发布的显示内容...     

翁田台地电场观测受干扰的因素分析

海南省文昌翁田台地电场数据质量自2019年3月开始下降,地电场数据质量下降主要表现为日相关系数偏低、北南向长极距与短极距数据曲线呈反向变化、绝缘度趋向于零等情况.2019年3月—2020年10月,我们分别对观测室装置系统、室外外线路、连接口等逐一进行详细的排查工作和电极、电缆的对比实验工作,最终确定影响因素为电极故障和...     

Effects of the number of stations and time resolution on derivation

For at least 30 years now it has been well known that the Dst index can be modelled using the solar wind as input. Since then, many attempts have been made to improve the predictability of Dst using different approaches. These attempts are useful, for instance, to understand which features of the solar wind–magnetosphere interactions are most important in producing magnetospheric activity and how the Dst index would improve the space weather forecast. The Dst index is by far the most reliable and simple indication that a magnetic storm is in progress. In this work, the effect of using more than four magnetic stations and shorter time intervals than the hourly averages used in Sugiura's procedures is evaluated. The discussion is based on the results presented by Burton in 1975 and Feldstein in 1984 considering 4 or 12 magnetic stations and time averages of 2.5 min for a magnetic disturbed period that occurred from February 7–28, 1967, including two geomagnetic storms. The analysis has shown that the global representation of a magnetic storm by the standard Dst (Sugiura) is well preserved either using 4, 6, 12 magnetic stations or using 1 h, 2.5 min 1 min averages. A brief review of the current understanding of Dst has been included to support the discussions. The analysis performed has shown that a more refined Dst index (time and number of stations>4) would be useful to investigate the intrinsic processes and the different current systems involved in the ring current development during magnetic storms; the standard Dst, as it is conceived, is quite adequate to monitor geomagnetic storms and identify their overall features; concerning the magnetic stations normally considered, the inclusion of higher magnetic latitude stations (>35) may underestimate the observed Dst.     

分布式地震应急救援态势标绘系统

地震现场救援要素众多,部署分散,为了统一管理救援要素,综合展示救援态势,设计一种基于B/S架构的地震应急救援态势标绘系统,采用Google Maps API v3实现前端Web GIS功能,加载谷歌地图,标绘震情灾情和救援要素信息,通过AJAX方式与服务器端进行数据交互,保存要素信息或者获取服务器端数据,系统设计聊天室功能,登录用户可以在线实时交流。本系统对使用环境要求低,支持多种移动终端,适合地震现场人员使用,实现了分布式要素标绘功能,是地震现场救援行动的有效辅助决策工具。     

基于LAIC电场渗透和SAMI2模拟的地震-电离层扰动现象研究

地震会造成电离层电子密度扰动。 基于三维电场渗透模型和SAMI2模型, 模拟地震发生前产生的异常电场对电离层电子密度的影响。 模拟结果表明, 地震前形成的附加电流会引起电离层产生异常电场, 且异常电场值与地震震级和地震发生时间有着明显的相关。 同时异常电场会使电子产生E×B漂移, 造成电子密度扰动。 随着时间的推移, 电子密度扰动逐渐减小且扰动区域会向着靠近磁赤道方向或远离磁赤道方向漂移。     

线性矩法估计参数的保证修正值系数B的推求

在设计洪水的抽样误差估计中,采用保证修正值系数B方法估计均方差简单易用。应用线性矩法估计频率分布曲线的参数,有较好的无偏性和有效性,具有一定的应用前景。目前线性矩法的B值诺模图尚未确定,给用线性矩法确定参数时估计抽样误差带来了难度与不便。采用统计试验,分析了离差系数、偏态系数和样本长度对B值的影响,结果表明线性矩法估计参数时仍可采用保证修正值系数B值诺模图方法来估计抽样误差,并推求了不同偏态系数、设计频率情形下的B值,制成了线性矩法的B值诺模图备用。     

CINRAD/SA(B)发射机高压打火组件级故障诊断

新一代天气雷达技术保障中,发射机高压负载打火导致的综合故障的诊断和定位是比较复杂的,具有故障点多、故障涉及组件多、故障修复时间长等特点,是新一代天气雷达故障维修的难点。依据发射机高压控制和监控信号流程,提出了发射机高压打火组件级故障诊断流程。通过发射机组件级故障诊断流程快速修复发射机高压负载打火综合故障过程,表明发射机高压打火组件级故障诊断流程在雷达维修中具有规范化和适用性维修效果,进一步显示出故障分析诊断流程在新一代天气雷达技术保障中的重要作用。     

SharpMap在青海省气象信息网络数据库中的应用

在 .NET环境下开发了基于B/S结构的青海省气象信息网络数据库。该数据库系统由气象信息基础数据库、数据库管理网站及一个空间信息平台构成。气象数据能够实时入库,并具有底图制作、基于地图的数据检索、数据统计和图形绘制等功能,将查询结果叠加在电子地图上显示,直观方便。系统于2009年在青海省气象台投入使用,提高了青海省气象台气象数据共享能力和服务水平,并为青海省气象台的各项业务工作提供了有力的支持。系统采用SharpMap技术实现了空间信息平台,并应用Ajax等技术提高了系统效率,本文对其在网络数据库中的应用     

Climatic control on river discharge simulations,Zackenberg River drainage basin,northeast Greenland

A spatially distributed, physically based, hydrologic modeling system (MIKE SHE) was applied to quantify intra‐ and inter‐annual discharge from the snow and glacierized Zackenberg River drainage basin (512 km²; 20% glacier cover) in northeast Greenland. Evolution of snow accumulation, distribution by wind‐blown snow, blowing‐snow sublimation, and snow and ice surface melt were simulated by a spatially distributed, physically based, snow‐evolution modelling system (SnowModel) and used as input to MIKE SHE. Discharge simulations were performed for three periods 1997–2001 (calibration period), 2001–2005 (validation period), and 2071–2100 (scenario period). The combination of SnowModel and MIKE SHE shows promising results; the timing and magnitude of simulated discharge were generally in accordance with observations (R² = 0·58); however, discrepancies between simulated and observed discharge hydrographs do occur (maximum daily difference up to 44·6 m³ s^?1 and up to 9% difference between observed and simulated cumulative discharge). The model does not perform well when a sudden outburst of glacial dammed water occurs, like the 2005 extreme flood event. The modelling study showed that soil processes related to yearly change in active layer depth and glacial processes (such as changes in yearly glacier area, seasonal changes in the internal glacier drainage system, and the sudden release of glacial bulk water storage) need to be determined, for example, from field studies and incorporated in the models before basin runoff can be quantified more precisely. The SnowModel and MIKE SHE model only include first‐order effects of climate change. For the period 2071–2100, future IPCC A2 and B2 climate scenarios based on the HIRHAM regional climate model and HadCM3 atmosphere–ocean general circulation model simulations indicated a mean annual Zackenberg runoff about 1·5 orders of magnitude greater (around 650 mmWE year^?1) than from today 1997–2005 (around 430 mmWE year^?1), mainly based on changes in negative glacier net mass balance. Copyright © 2007 John Wiley & Sons, Ltd.     

利用HJ-1B模拟数据反演地表温度的两种单通道算法

针对HJ-1B热红外波段特点,采用修正型QK & B算法,反演广州市2013-01-14的地表温度（land surface temperature,LST）。建立偏微分方程得出,当辐射率误差为0.01时,引起的LST误差约为0.6 K,LST误差与大气透过率成反比,与大气透过率误差成正比,0.1的透过率误差引起LST误差约1 K。大气水汽含量w误差与LST误差成线性关系,当大气水汽含量误差为0.1 g/cm²时,引起LST误差约为0.2 K。LST反演误差与近地表气温误差和大气平均作用温度误差均成正比,1 K的近地表气温误差引起LST反演误差约1K。总的来说,LST反演误差与区间比值和大气平均作用温度误差和近地表气温误差相关。用算法反演出来的广州市地表温度与MOD11_L2温度产品具有较强的空间一致性,温度差值曲线呈正态分布,主要集中在-0.9~0.9℃区域,选取广州市6个观测点,得出修正型QK & B算法和实测地温平均值相差约为0.31 K,MOD11_L2与实测地温的温度平均值相差0.65 K,误差均小于1 K。通过对修正型QK & B算法偏微分方程的推导,可对HJ-1B/IRS中的LST反演进行更细致和精确的分析,为其他针对环境卫星热红外波段类似反演LST的算法提供一定的借鉴,也为后续提高LST反演精度提供科学依据。