Multi-band Solar Full-disk Extreme Ultraviolet Imager     

PENG Ji-long  FENG Tao-jun  SHI En-tao  LI Lin  YU Qian  ZHANG Kai  NIE Xiang-yu  MA Zi-liang 《Chinese Astronomy and Astrophysics》2019,43(3):444-456

Solar Extreme Ultraviolet (EUV) imaging observation is an important measure for the researches of solar activities and coronal plasma physics. But the traditional EUV imager and spectrograph can hardly achieve simultaneously the high spectral resolution and wide field-of-view of solar imaging. This paper has designed a new type of solar EUV multi-band imager, by adopting a kind of slitless grating and grazing incidence structure, it can realize the solar full-disk imaging of high spectral and spatial resolution. The field-of-view of the imager can be as broad as 47′. The spectral resolution is 2×10^?3nm per pixel, and the spatial resolution is 1.4′ per pixel. The temporal resolution of the solar full-disk is better than 60 s. The analysis of the solar full-disk spectral image and system response shows that the imager can observe the morphological evolutions of various solar activities, and can provide more comprehensive data for the researches of solar physics and space weather forecast.  相似文献   

基于广义回归神经网络的行星际/太阳风参数和地磁指数的紫外极光强度建模          下载免费PDF全文

胡泽骏  韩冰  连慧芳 《地球物理学报》2020,63(5):1738-1750

极光卵极光强度的空间分布是太阳风-磁层-电离层能量耦合过程的重要表现,并且随着空间环境参数和地磁指数的变化而变化,是空间天气的重要指示器.建立合适的极光强度模型对亚暴的预测以及磁层动力学的研究具有重要意义.本文基于Polar卫星的紫外极光成像仪(Ultraviolet Imager,UVI)数据,采用两种不同的极光强度表征方法,即曲线拟合方法(从UVI图像数据中提取极光强度沿磁余纬方向上的曲线特征,Curve Feature along the Magnetic Co-latitude Direction of the Auroral Intensity,CFMCD_AI)和网格化方法(从UVI图像数据中提取极光强度的网格化特征,Gridding Feature of the Auroral Intensity,GF_AI),来构造极区极光强度特征数据库.然后,利用该数据库,采用广义回归神经网络(Generalized Regression Neural Network,GRNN)构建了以行星际/太阳风参数(行星际磁场三分量、太阳风速度和密度)和地磁指数(AE指数)为输入参数的两种极光强度预测模型(GRNN_CFMCD_AI模型和GRNN_GF_AI模型).利用图像质量评价指数结构相似度(structure similarity,SSIM)作为极光强度模型预测结果和对应的UVI图像的相似性评价标准(完全相似为1,不相似为0,一般认为SSIM大于0.5是具有较好的相似性),对两种极光强度模型进行了性能评价.结果显示,GRNN_GF_AI模型预测结果对应的SSIM值范围为0.36～0.77,均值为0.54,性能优于GRNN_CFMCD_AI模型的.  相似文献   

Dating of rockfall damage in trees yields insights into meteorological triggers of process activity in the French Alps     

R. Mainieri  C. Corona  J. Chartoire  N. Eckert  J. Lopez-Saez  M. Stoffel  F. Bourrier 《地球表面变化过程与地形》2020,45(10):2235-2250

Rockfall release is a rather unpredictable process. As a result, the occurrence of rockfall often threatens humans and (infra)structures. The assessment of potential drivers of rockfall activity therefore remains a major challenge, even if the relative influence of rainfall, snowmelt, or freeze–thaw cycles has long been identified in short-term monitoring projects. In the absence of longer-term assessments of rockfall triggers and possible changes thereof, our knowledge of rockfall dynamics remains still lacunary as a result of the persisting scarcity of exhaustive and precise rockfall databases. Over the last decades, several studies have employed growth disturbances (GDs) in tree-ring series to reconstruct rockfall activity. Paradoxically, these series were only rarely compared to meteorological records. In this study, we capitalize on the homogeneity of a centennial-old reforestation plot to develop two reconstructions – R1 including only growth suppressions, and R2 based on injuries – with limited biases related to decreasing sample size and changes in exposed diameters back in time. By doing so, our study also and quite clearly highlights the large potential that protection forests have in terms of yielding reliable, multidecadal rockfall reconstructions. From a methodological perspective, we find no synchronicity between R1 and R2, as well as an absence of meteorological controls on rockfall processes in R1. This observation pleads for a careful selection of GDs in future reconstructions. In terms of process dynamics, we demonstrate that summer intense rainfall events (>10 mm day⁻¹) are the main drivers for rockfall activity at our study site. Despite the stringency of our detection procedure, correlations between rockfall activity and meteorological variables remain comparable to those reported in previous studies, as a result of the complexity and multiplicity of triggering factors. We therefore call for a more systematic coupling of tree-ring analysis with rockfall and microclimatic monitoring in future studies. © 2020 John Wiley & Sons, Ltd.  相似文献   

冻土CT图像中环形伪影和射线束硬化伪影的成因及校正方法     

陈世杰  马巍  李国玉 《冰川冻土》2020,42(4):1407-1416

冻土CT图像中不可避免地会出现环形伪影和射线束硬化伪影。为解决这些问题， 分析了两类伪影的特征和形成机理， 提出了降低伪影的硬件优化方案。首先， 通过改变X射线管电压， 以此改变X射线光通量来降低冻土CT图像的环形伪影。其次， 利用不同厚度的滤过材料， 将X射线中的低能射线预先过滤， 使得穿过冻土试样的X射线能谱范围变窄， 以此来降低射线束硬化伪影对试样的影响。对比分析结果表明： 将扫描电压提高到120 kV既能有效降低同类型冻土试样CT图像中的环形伪影， 又能保证图像的质量； 选用材质为2A12、 厚度为18 mm的航空铝材， 在扫描电压为120 kV、 扫描电流为230 mA的条件下可以有效抑制射线束硬化所造成的伪影。  相似文献   

Cartograms for Use in Forecasting Weather-Driven Natural Hazards     

Florian Pappenberger  Hannah L. Cloke  Calum A. Baugh 《The Cartographic journal》2019,56(2):134-145

This paper evaluates the potential of using cartograms for visualizing and interpreting forecasts of weather-driven natural hazards in the context of global weather forecasting and early warning systems. The use of cartograms is intended to supplement traditional cartographic representations of the hazards in order to highlight the severity of an upcoming event. Cartogrammetric transformations are applied to forecasts of floods, heatwaves, windstorms and snowstorms taken from the European Centre for Medium-range Weather Forecasts (ECMWF) forecast archive. Key cartogram design principles in standard weather forecast visualization are tested. Optimal cartogram transformation is found to be dependent on geographical features (such as coastlines) and forecast features (such as snowstorm intensity). For highly spatially autocorrelated weather variables used in analysing several upcoming natural hazards such as 2m temperature anomaly, the visualization of the distortion provides a promising addition to standard forecast visualizations for highlighting upcoming weather-driven natural hazards.  相似文献   

不同天气现象下毕节高温特征及预报回归检验分析          下载免费PDF全文

吴姗  姚浪  刘健平  帅龙  聂祥 《中低纬山地气象》2022,46(1):68-72

利用毕节2010-2019年观测资料,分析不同天气现象下日最高气温特征,建立高温模型,并对近5 a 24 h高温进行检验,得出如下结论:(1)毕节高温日变化在夏季最稳定,春季波动最大。气温日较差晴天最大,阴天最小,多云时略大于阴间多云。(2)毕节8~10成云出现频率高达65.7%,夏季晴天频率波动大,春、夏季多云频率较高,且按天气现象分类统计月平均高温时,其峰值均出现在7月。(3) 24 h高温预报准确率月、季变化特征明显,夏季准确率最高,较最低的冬季高出21.4%,在区别天气现象的情况下,阴雨天时预报准确率最高,多云时最低,其中12月多云时最低为25%。(4)回归模型分析发现不同季节同种天气现象24 h高温预报影响因子权重差异明显,日照时数和平均本站气压对模型影响程度较高。不同季节晴天影响因子差异最大,拟合效果最好时段在夏季,平均估计误差为1.2℃,估计误差最大在冬季,平均估计误差为1.7℃。  相似文献   

青藏铁路填土路基热-力耦合离散元研究     

石梁宏  李双洋  尹楠 《冰川冻土》2021,43(1):195-203

多年冻土是含有冰的特殊土体,在自然环境变化及工程扰动下易发生冻胀融沉变形,严重威胁着青藏高原工程建筑物的安全稳定,特别对青藏铁路的畅通运营提出了严峻挑战。以青藏铁路五道梁地区路基断面为研究对象,采用颗粒离散单元法,通过建立热-力离散元计算模型,对路基的温度场和变形进行了计算和预测。结果表明：离散单元法克服了有限元方法无法模拟颗粒间导热与接触粘结作用的瓶颈,能够从微观层面阐释宏观变化,较为真实地反映冻土的导热和力学变形;离散单元法数值计算分析发现,随着运营时间的增加,路基存在冻土退化问题,而且路基中颗粒间热交换复杂,在0 ℃等温线区域和路基坡脚处,颗粒间相互作用更为突出。热-力耦合离散元为冻土工程研究提供了新思路,可更好地为寒区工程服务。  相似文献   

冻土机械切削破碎机理的研究进展   总被引：1，自引：1，他引：0  

李龙  周琴  张凯  凌雪  张在兴  李耀 《冰川冻土》2021,43(2):638-649

冻土开挖困难、破碎效率低是高寒地区工程建设、地基施工等面临的技术难题。冻土机械切削破碎是冻土开挖的主要方法,其机理研究是提高冻土破碎效率的前提和基础。首先总结了温度、含水率、围压等对冻土复杂力学特性的影响,进而调研分析了冻土机械切削破碎的典型切削力学模型,发现冻土切削机械破碎模式不仅与冻土力学特性密切相关,也与切削参数和刀具结构直接相关,冻土切削过程中存在着最优的切削前角（30°~60°）,且深切削和浅切削时冻土内部受力方式存在差异也会导致破坏形式的不同;温度、含水率、围压所造成的冻土力学性能变化会直接导致冻土破坏过程和切削破碎机理的改变,冻土强度随着温度降低表现出先升高然后保持稳定的特性,随着含水率升高呈现出先升高后降低的趋势,冻土破碎存在脆性、塑脆过渡及塑性等不同破坏形式。通过系统总结冻土切削破碎机理研究进展,进一步明确了冻土力学性质主要影响因素、变化特点及其切削破坏损伤特征,为冻土机械切削破碎的切削参数和切削具结构优化提供了设计依据。  相似文献   

高寒冻土区生物结皮对土壤理化属性的影响   总被引：1，自引：0，他引：1  

明姣  盛煜  金会军  张泽  杜玉霞 《冰川冻土》2021,43(2):601-609

生物结皮是高寒地区地被层的重要组分之一。其作为地表特殊的结构层,能够改变地表结构及土壤理化属性,从而影响冻土环境。迄今为止,关于青藏高原高寒生态系统中生物结皮对土壤理化属性的影响尚不清楚。以青藏高原高寒冻土区生物结皮为研究对象,初步研究了生物结皮的特征及其对土壤理化属性的影响。结果表明：生物结皮在高寒草甸退化过程中广泛发育,主要以藻结皮为主,其盖度可达37.3%~51.7%,结皮层平均厚度为12.6 mm。由于生物结皮的发育,高寒地区5~20 cm土层粉粒含量有所增加,但差异不显著,而结皮层土壤田间持水量相比于裸地表层（2 cm）增加了10%~40%,结皮层容重较裸地降低了30%;两种类型藻结皮均显著增加了结皮层及其下0~20 cm土层土壤有机质,而深色藻结皮增加了结皮层及其下0~20 cm土层土壤全氮含量,浅色藻结皮仅增加了结皮层土壤全氮含量,对其下0~20 cm土层土壤全氮含量没有显著影响;生物结皮对土壤pH没有显著影响;生物结皮是高寒生态系统植被退化过程中的关键环节。研究结果为揭示生物结皮在高寒生态系统中发挥重要生态功能提供依据。  相似文献   

东北地区冬半年积雪与气温对冻土的影响   总被引：3，自引：3，他引：0  

周晓宇  赵春雨  李娜  刘鸣彦  崔妍  敖雪 《冰川冻土》2021,43(4):1027-1039

利用东北地区121个气象站逐日冻土深度、积雪深度、平均气温、地表平均气温及降水量数据,分析了1964—2017年冬半年冻土的变化特征及气象要素对冻土的影响。结果表明：东北地区积雪深度、平均气温、地表平均气温与冻土深度相关系数较高,降水量相关性不大。20世纪60年代平均气温、地表平均气温及负积温最低,最大冻土深度为历年代最深;随着气候变暖,最大冻土深度以6.15 cm?（10a）^-1的速率显著减小。冬半年平均最大冻土深度为123 cm,呈显著纬向分布,自辽东半岛向大兴安岭北部递增;随纬度和海拔高度的增加,平均气温和地表平均气温降低,负积温增加,且由北向南地气温差增大。最大冻土深度全区有90%以上的站点减少,减少速率以0.1~10 cm?（10a）^-1为主。冻土持续时间随纬度升高而增加,月最大冻土深度和积雪深度最大值分别出现在3月和1月,最大冻土深度的增加要滞后于积雪深度的增加。由于积雪对地温的保温作用,积雪深度较浅时,冻土深度增加较明显,随着积雪深度的增加,冻土深度变化较小,积雪对冻土起到了保温的作用。对于高纬度地区站点,30 cm左右为积雪的保温界限值;对于沿海站点,积雪保温的界限值在5 cm左右;在相同地形下,冻土深度较浅区域积雪的保温值因海拔高度、气候特点而异。最大冻土深度对地表平均气温升温的响应更为显著,地表平均气温和平均气温每升高1 ℃,最大冻土深度将减小8.4 cm和10.6 cm,负积温每减少100 ℃?d,最大冻土深度减少4.9 cm。  相似文献