最小噪声分离在航空电磁数据噪声压制中的应用

时间域航空电磁数据经预处理后,仍存在残余噪声,影响电磁探测对地下异常的识别能力。笔者提出一种基于最小噪声分离的去噪方法,将一组含噪电磁数据通过旋转矩阵线性变换为按照信噪比大小排列的最小噪声分离成分,利用信噪比较大的最小噪声分离成分重构电磁数据,以达到分离噪声的目的。仿真数据去噪结果表明：最小噪声分离不仅能够有效压制晚期道剖面噪声,还能准确分辨异常信息;晚期道信噪比较测线滤波提高了11.28 dB,实测数据的噪声水平也由±50 nT/s降低到±10 nT/s。     

中国强降水过程时空集中度气候趋势

基于日降水资料序列提出一种度量不同强度降水过程时空集中程度的指标,根据中国740个气象站逐日降水资料研究分析了我国强降水过程集中度和集中期及其相关统计特征,结果表明暴雨过程年内集中度与年降水量正相关区与中国降水空间分布有很好的一致性;在对大范围洪涝灾害研究方面,暴雨过程年内集中度和集中期在定量地表征降水量在时空场上的非均匀性时有更高分辨力; 暴雨过程年内集中度比较清晰地反映出长江流域、江淮地区洪涝增加的趋势及黄河中下游、华北强降水减少的趋势。该方法可直接应用到评估水旱灾害及其气候影响等领域。     

Analysis of loess landslide mechanism and numerical simulation stabilization on the Loess Plateau in Central China

Natural Hazards - Loess landslides have complicated deformation mechanisms. Accurately describing the internal failure deformation of loess landslides and establishing a theoretical method of...     

Molecular cloning,tissue expression of gene Muc2 in blunt snout bream Megalobrama amblycephala and regulation after re-feeding

Mucins are important components of mucus,which form a natural,physical,biochemical and semipermeable mucosal layer on the epidermis of fish gills,skin,and the gastrointestinal tract. As the first step towards characterizing the function of Muc2,we cloned a partial Megalobrama amblycephala Muc2 cDNA of 2 175 bp,and analyzed its tissue-specific expression pattern by quantitative real-time PCR(qPCR). The obtained sequence comprised 41 bp 5′-untranslated region(5′-UTR),2 134 bp open reading frame encoding a protein of 711 amino acids. BLAST searching and phylogenetic analysis showed that the predicted protein contained several common secreted mucin-module domains(VWD-C8-TIL-VWD-C8) and had high homology with mucins from other vertebrates. Among four candidate reference genes(β- Actin,RPI13α,RPII,18S) for the qPCR,R PII was chosen as an appropriate reference gene because of its lowest variation in different tissues. M. amblycephala Muc2 was mainly expressed in the intestine,in the order(highest to lowest) middle-intestine fore-intestine hind-intestine. Muc2 was expressed relatively poorly in other organs(brain,liver,kidney,spleen,skin and gill). Furthermore,after 20-days of starvation,M. amblycephala Muc2 expressions after refeeding for 0h,3 h,16 h,3 d,and 10 d were significantly decreased in the three intestinal segments(P 0.05) at 16 h,and were then upregulated to near the initial level at 10 d.     

一次华南暴雨过程中不同区域降水特征的模拟分析

通过对2005年6月19-20日的一次华南大暴雨过程的诊断分析表明,本次降水过程的水汽来源有两个,一是来自于印度洋上的印度季风,另一个是来自于澳大利亚的东南信风.对不同暴雨中心的分析表明,福建北部的降水带为华南准静止锋锋面上的系统性降水,假相当位温的经向垂直剖面呈明显的Ω型结构,而广东河源附近的暴雨中心为暖区对流性降水,低层为强的不稳定.利用ARPS模式对这次暴雨过程进行了数值模拟,结果表明,锋面雨带主要来自于网格降水的贡献,而对流性降水主要来自于次网尺度降水的贡献.     

A formation mechanism for hematite-rich spherules on Mars

Gray crystalline hematite on Mars has been detected in three regions, Sinus Meridiani, Aram Chaos, and Valles Marineris, first by the Thermal Emission Spectrometer (TES) onboard the Mars Global Surveyor (MGS) orbiter, and then confirmed by other instruments. The hematite-rich spherules were also detected by the Mars Exploration Rover (MER) Opportunity at Meridiani Planum (Sinus Meridiani). Formation mechanisms of the hematite-rich spherules have been discussed widely since then. Here, we argue for an alternative formation mechanism, that is, the spherules originally formed at Valles Marineris due to the interaction of volcanic deposits and acidic hydrothermal fluids, and then were transported to and deposited at Meridiani Planum and Aram Chaos as alluvial/fluvial sedimentary deposits with other materials such as sulfates and rock fragments during the wash-out flows from Valles Marineris to Meridiani Planum and Aram Chaos. Diagenesis of the hematite-rich spherules may have also been a possible mechanism following sediment transport and emplacement. The hypothesis is consistent with available relevant information to date and provides an insight into the understanding of Martian surficial processes.     

濮阳市0 cm地温变化特征及成因分析

利用线性分析方法和相关分析方法,分析了濮阳近50年地面温度的变化倾向率及成因。月平均地面温度变化趋势具有明显的阶段性,12月至翌年4月呈升温趋势,5～11月呈降温趋势,其变化倾向率分别为0．01～0．32℃／10a和-0．04～-0．83℃／10a,年平均地面温度变化倾向率为-0．23℃／10a;各月地面平均最高温度的变化倾向率,11月为0．01℃／10a,其余月份则为-0．46～-2．16℃／10a,年变化倾向率为～0．23℃／10a;各月地面平均最低温度的变化倾向率,11月为-0．02℃／10a,其余月份则为0．09～0．76℃／10a,年变化倾向率为0．34℃／10a;各月平均地气温差的变化倾向率为-0．17～-0．66℃／10a,年变化倾向率为-0．35℃／10a。当地地面平均最高温度呈逐年递减趋势,地面平均最低温度呈逐年递增趋势,地面平均最高温度的递减趋势远大于平均最低温度的递增趋势,因此,年平均地面温度呈逐年递减趋势。地气温差逐年递减,大气稳定度增强,不利于近地层污染物和水汽扩散,由此带来轻雾日数增多,空气污染加重。日照时数减少,地面受太阳直接辐射减少,是地面温度趋降的直接原因,空气湿度和降水量趋增、空气污染加重等要素的变化,是地面温度趋降的间接原因。