A possible explanation for the electron/positron excess of ATIC/PAMELA

Results from PAMELA and ATIC indicate that the Kaluza-Klein type dark matter particles could be the annihilation source of the observed excess of electrons and positrons.Assuming the existence of a nearby black hole with 10000–100000 solar masses and a point source boost algorithm,we apply the standard propagation model and find that the results fit the data well.     

Seasonal change in body length of important small copepods and relationship with environmental factors in Jiaozhou Bay,China

Differences among species in prosome length and in species’ response to environmental factors do exist. Therefore, it is useful to examine prosome length for different copepod species in variable environments. Seasonal variations in prosome length of four small copepods and their copepodite stages in the Jiaozhou Bay were compared and the relative influence of temperature, salinity, and chlorophyll concentration were examined. Two peaks were found in the mean prosome length of Paracalanus parvus (in early winter and May). For Acartia bifilosa, the maximum values of all copepodites occurred mainly from February to April, and decreased to the bottom in July. Prosome length of Acartia pacifica peaked when it first appeared in June, then reached to the minimum in July. Parvocalanus crassirostris only appeared from late summer to autumn and the mean prosome length showed no clear changes. Correlations of adult prosome length with environmental factors were evaluated. For the four species, temperature was negatively correlated to prosome length except for P. crassirostris. But the different species varied markedly in their responds to temperature. A. bifilosa showed a more definite trend of size variation with temperature than P. parvus and A. pacifica. Correlations of prosome length with salinity were significantly positive for almost all the small copepods. The relationship between chlorophyll concentration and prosome length was complicated for these copepods, but for P. parvus, chlorophyll concentration was also an important affecting factor. Furthermore, investigation needs to be done on food quality for some copepod. These results are essential to estimate the biomass and the production, and to understand these small copepods’ population dynamics in this human-affected bay.     

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

A reliable and accurate prediction of the tunnel boring machine(TBM) performance can assist in minimizing the relevant risks of high capital costs and in scheduling tunneling projects.This research aims to develop six hybrid models of extreme gradient boosting(XGB) which are optimized by gray wolf optimization(GWO), particle swarm optimization(PSO), social spider optimization(SSO), sine cosine algorithm(SCA), multi verse optimization(MVO) and moth flame optimization(MFO), for estimation of the TBM penetration rate(PR).To do this, a comprehensive database with 1286 data samples was established where seven parameters including the rock quality designation, the rock mass rating, Brazilian tensile strength(BTS), rock mass weathering, the uniaxial compressive strength(UCS), revolution per minute and trust force per cutter(TFC), were set as inputs and TBM PR was selected as model output.Together with the mentioned six hybrid models, four single models i.e., artificial neural network, random forest regression, XGB and support vector regression were also built to estimate TBM PR for comparison purposes.These models were designed conducting several parametric studies on their most important parameters and then, their performance capacities were assessed through the use of root mean square error, coefficient of determination, mean absolute percentage error, and a10-index.Results of this study confirmed that the best predictive model of PR goes to the PSO-XGB technique with system error of(0.1453, and 0.1325), R~2 of(0.951, and 0.951), mean absolute percentage error(4.0689, and 3.8115), and a10-index of(0.9348, and 0.9496) in training and testing phases, respectively.The developed hybrid PSO-XGB can be introduced as an accurate, powerful and applicable technique in the field of TBM performance prediction.By conducting sensitivity analysis, it was found that UCS, BTS and TFC have the deepest impacts on the TBM PR.     

海洋纤维增强热塑性立管极限承载拉力预测方法

海洋新型纤维增强热塑性立管因其可盘卷、耐腐蚀、耐疲劳和轻质化等优点,在深水油气开发中应用前景十分广阔。热塑性立管具有复合材料的各向异性、受力耦合效应及复杂的本构关系,且承受浮体运动和复杂海洋环境载荷,其失效模式尚未明确。针对轴对称载荷作用下纤维增强热塑性立管极限承载力问题,进行热塑性管稳态热传导和热应力的理论推导,求解了稳态温度和应力分布,首次给出了在任意温度载荷作用下管体径向位移的解析解,并直接求解其径向、轴向、环向和剪切应力。采用各向同性层Von Mises和各向异性层最大应力（Max Stress）准则或Tsai-Hill准则判定热塑性管的失效,基于应力分布、失效准则和二分法计算了热塑性管的极限载荷。温度载荷、纤维铺设角度和径厚比对管道的应力分布影响显著。不同温度载荷会改变失效指数沿径向的变化趋势,增大轴向拉力将增大热塑性管的失效指数,选用不同的失效准则在管体失效判定上存在一定的差异。热塑性管温度越低、纤维铺设角越小及径厚比越大,管道对轴向拉伸载荷的承载能力越强。     

现代黄河三角洲YRD-1401孔MIS 5以来沉积层序及其古环境意义

近年来渤海地区晚更新世以来沉积环境演化和地层划分存在争议。本文对现代黄河三角洲东南海岸带YRD-1401孔岩芯（长81.00 m）沉积物进行综合研究,旨在建立该孔晚更新世以来地层的沉积相序列和时间标尺,为解决地层划分争议提供新的证据。根据AMS ¹⁴C和光释光测年结果,并考虑到YRD-1401孔底部地层光释光年代的不精确性,本文主要研究YRD-1401孔MIS 5以来的沉积演化史。综合分析YRD-1401孔沉积地层的岩性特征和底栖有孔虫组合变化,结合测年结果,该孔可划分为6个沉积单元（从下往上DU 6~DU 1）：最底部的DU 6（51.35~81.00 m）为受潮流影响的河流沉积（其形成时间有待进一步研究）,DU 5（37.64~51.35 m）为MIS 5潮坪-近岸浅海沉积,DU 4（30.71~37.64 m）为MIS 3早期的潮坪沉积,DU 3（23.50~30.71 m）为MIS 3晚期至全新世早期形成的河流沉积,DU 2（14.22~23.50 m）为全新世早期（约10 cal.ka B.P.）至1855年形成的滨岸沼泽-滨岸浅水-近岸浅海~前三角洲沉积-海洋改造层,DU 1（0~14.22 m）为1855年以来发育的现代黄河三角洲沉积。晚更新世以来该孔有3个海相层（自下而上分别是DU 5、DU 4和DU 2）,分别形成于MIS 5、MIS 3早期和全新世,表明晚更新世以来全球海平面变化是其主要控制因素。研究区MIS 4的沉积地层出现缺失。渤海沿岸地区多个钻孔地层的对比表明,区域性的差异构造沉降、沉积物供给和地层完整性等因素也是影响研究区晚更新世以来沉积地层发育的重要因素。

     

CORS系统在航空重力测量地面GNSS基站解算中的应用

航空重力测量是以飞机为载体,快速、高效获取大面积中、高频地球重力场信息的航空物探测量方法。航空重力测量技术的商业化运行归功于动态差分GNSS定位技术的成熟,使得载体的动态定位、动态测速和加速度解算精度大大提高,而差分GNSS技术解算载体动态定位的精度又依赖于地面基准站坐标精度。在实际作业中,通过组建控制网并设立地面GNSS基站,联测国家GNSS控制点,不仅需要花费较多的经济成本和时间成本,而且在人迹罕至的沼泽、高原、荒漠无人区以及远离大陆的海岛礁地区,这种方法都面临很大的困难。随着我国CORS站建设的不断深入,CORS系统精度和网度不断提高,利用CORS站数据,通过GAMIT等软件进行地面GNSS基站解算来确定其准确坐标位置的方法成为一种新趋势。本文以某测区实际数据为例,对比分析了两种方法得到的基站坐标精度及对重力测量结果的影响,介绍了CORS系统在航空重力测量地面GNSS基站解算中的应用效果,说明利用CORS系统解算不仅满足航空重力测量精度要求,而且能够提高工作效率。     

龙宫风景区科普旅游功能初探

从风景区的科普旅游功能出发,将旅游与科普结合起来,探讨了作为国家级风景名胜区的龙宫,在开展喀斯特科普旅游方面所具备的优势.认为:"天然的喀斯特博物馆"、"脆弱的喀斯特生态环境"、"独特的人地关系耦合系统"等是龙宫风景区开展科普旅游的主要内涵.但调查表明,当前龙宫景区在导游人员的科普素质、旅游解说系统功能方面,均不能满足开展科普旅游的需要.针对龙宫景区科普旅游功能发挥方面存在的问题,提出了加强景区科学研究,提高景区管理阶层科普意识和导游人员的科普素质,调整旅游解说系统功能结构及建立旅游服务中心等应对措施与建议.     

Consistent seasonal snow cover depth and duration variability over the Western Himalayas (WH)

Precipitation in solid form, i.e., snow, during winter season over the Western Himalayas (WH) leads to the build-up of seasonal snow cover. Seasonal snow cover build-up (snow cover depth and duration) largely depends on atmospheric variables such as temperature, precipitation, radiation, wind, etc. Integrated (combined) influence of atmospheric variables on seasonal snow cover gets reflected in terms of spatial and temporal variability in seasonal snow cover build-up pattern. Hence spatial and temporal variability of seasonal snow cover build-up can serve as a good indicator of climate change in high altitude mountainous regions like the WH. Consistent seasonal snow cover depth and duration, delay days and early melt days of consistent seasonal snow cover at 11 stations spread across different mountain ranges over the WH were analyzed. Mean, maximum and percentiles (25th, 50th, 75th, 90th and 95th) of consistent seasonal snow cover depth and duration show decline over the WH in the recent past 2–3 decades. Consistent seasonal snow cover is found to melt early and snow cover build-up pattern is found to show changes over the WH. Decline in consistent seasonal snow cover depth, duration and changing snow cover build-up pattern over the WH in recent decades indicate that WH has undergone considerable climate change and winter weather patterns are changing in the WH.     

Characteristics of the Asian–Pacific Oscillation in Boreal Summer Simulated by BCC_CSM with Different Horizontal Resolutions

The summer Asian–Pacific Oscillation(APO) is a major teleconnection pattern that reflects the zonal thermal contrast between East Asia and the North Pacific in the upper troposphere. The performance of Beijing Climate Center Climate System Models(BCC CSMs) with different horizontal resolutions, i.e., BCC CSM1.1 and BCC CSM1.1(m), in reproducing APO interannual variability, APO-related precipitation anomalies, and associated atmospheric circulation anomalies, is evaluated.The results show that BCC CSM1.1(m) can successfully capture the interannual variability of the summer APO index. It is also more capable in reproducing the APO's spatial pattern, compared to BCC CSM1.1, due to its higher horizontal resolution. Associated with a positive APO index, the northward-shifted and intensified South Asian high, strengthened extratropical westerly jet, and tropical easterly jet in the upper troposphere, as well as the southwesterly monsoonal flow over North Africa and the Indian Ocean in the lower troposphere, are realistically represented by BCC CSM1.1(m), leading to an improvement in reproducing the increased precipitation over tropical North Africa, South Asia, and East Asia, as well as the decreased precipitation over subtropical North Africa, Japan, and North America. In contrast, these features are less consistent with observations when simulated by BCC CSM1.1. Regression analysis further indicates that surface temperature anomalies over the North Pacific and the southern and western flanks of the Tibetan Plateau are reasonably reproduced by BCC CSM1.1(m), which contributes to the substantial improvement in the simulation of the characteristics of summer APO compared to that of BCC CSM1.1.     

An algorithm to retrieve precipitation with synthetic aperture radar

This paper presents a new type of rainfall retrieval algorithm, called the model-oriented statistical and Volterra integration. It is a combination of the model-oriented statistical (MOS) and Volterra integral equation (VIE) approaches. The steps involved in this new algorithm can be briefly illustrated as follows. Firstly, information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar (SAR). Secondly, the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain. Finally, the rain rate can be calculated by using the MOS retrieval algorithm. Simulation results show that the proposed algorithm is effective and simple, and can lead to time savings of nearly 50% compared with MOS. An example of application of SAR data is also discussed, involving the retrieval of precipitation information over the South China Sea.