应用于水下自主观测平台的高可靠性CAN总线技术研究

研究并开发应用于水下自主航行观测平台的高可靠CAN总线技术,实现高可靠性、实时、单多帧、大数据量数据传输。具有很好的系统兼容性,能够同基于8051、PC104、ARM等不同硬件系统的CAN节点进行高速数据通讯,为复杂分布式系统集成提供极具应用价值的通讯网络。     

Assessment of Heavy Metal Contamination of Wetland Soils from a Typical Aquatic–Terrestrial Ecotone in Haihe River Basin,North China

Surface soils were collected in the aquatic–terrestrial ecotone (ATE) of Yongnianwa wetland, downstream of Haihe River basin of North China in June of 2007. Samples were subjected to a total digestion technique before they were analyzed for total concentrations of Cr, Cu, Ni, Pb, and Zn to investigate their pollution levels in the ATE. The contamination index, integrated contamination index, geoaccumulation index, toxic units, and sum of toxic units were adopted to assess the heavy metal contamination levels and ecotoxicity, respectively. The results showed all the selected element concentrations in upland soils of the ecotone were relatively higher than those in the lowland soils. No Cr pollution was observed in all soil samples, but almost all samples were slightly polluted by Cu, Ni, Pb, and Zn except for Site 1. The contamination indexes and geoaccumulation indexes consistently presented no contamination for Site 1 and slight contamination for other sites. The ΣTUs increased from lowland to upland, but the whole level of toxicity in this ecotone was relatively low.     

平庄盆地六家立井地区找铀目标层岩石学特征及其找矿意义

六家立井地区位于平庄盆地北缘,白垩系下统阜新组上段是该区砂岩型铀矿床目标层位,具有较好找铀前景。为深入了解该区砂体的岩石学特征,通过野外钻探工作、岩心编录、样品采集及岩矿测试方法,详细研究了目标层碎屑岩类型、碎屑岩成分、结构构造等岩石学方面特征。结果表明目标层碎屑岩成分成熟度和结构成熟度均较低,具有搬运距离短、沉积速度快的特点,其物源较单一,初步判断物源来自盆地东北部和西北部隆起带酸性花岗岩,同时也为铀成矿提供了良好的铀源。     

Advances in the Research of Impact of Decadal Solar Cycle on Modern Climate

Role of solar activity on modern climate change, particularly in the decadal scale is an important scientific issue. This paper reviews the recent observation of decadal solar signal in earth’s climate, with focus on the mechanism of solar radiation, ultraviolet radiation and cosmic rays on climate system ,and its validation. The paper points out that the assessment of uncertainty in observations, amplification process of the climate system, as well as possible future impact of solar extreme events are challenges in the present study. Finally, the keys of breakthrough are pointed, to provide a reference for future research.     

Origin of Natural Gas in Kekeya Field, Tarim Basin, China

This paper is mainly concentrated on the geochemical characteristics and origin of gas of Kekeya field in the Tarim basin, NW China. This study shows that Permian mudstone is the main source rock of oil and gas. Based on the carbon isotopes of C1--C4, the carbon isotope of gas in Kekeya field is a little heavier than that in the typical marine-derived gas. The relationship between carbon isotopes of methane and ethane is coincident with Faber equation of gas derived from organic matter Ⅰ/Ⅱ. The majority of gas maturity is estimated, based on the formula, at 1.8%-2.2% besides K2 and K18 wells. In addition, the gas derived from 0.9%-1.2% Ro source rocks may also bemixture. ^40Ar/^36Ar and ^3He/^4He ratios from the gas samples also support the mixing process. Moreover, the gas in this region is mainly generated from more mature source rocks although the low mature gas exists.     

基于微博数据和情感分析法的台风“米克拉”灾情过程探测

以2020年第6号台风“米克拉”为例,采集了5916条新浪微博作为数据源,综合应用隐含狄利克雷分布(Latent Dirichlet Allocation,LDA)主题模型、文本情感分析方法和空间分析技术,挖掘、分析台风的灾情时空过程。基于LDA主题模型建立了主题-词矩阵并进行隐含主题聚类,这些微博文本被分为灾损类信息、预警类信息、防御类信息和无关信息;从主题信息和文本情感值两个角度入手,对此次台风事件网络舆情的演化过程进行分析。结果表明:“米克拉”登陆前有大量积极情感的微博,主要包含渴望降雨、降温等信息,此类微博大量分布在漳州、厦门、福州等地区;在台风入境后消极情感的微博大量增多,主要描述道路、树木等受大风和大雨影响的灾损类信息,此类信息的空间位置主要分布在漳州和厦门,能较好地反映台风灾害影响的时空分布。通过对微博主题类别和情感极性进行时空分析,实现台风灾害事件发展趋势的监测,为防灾减灾提供参考依据。     

Embedding eco-friendly and smart technology features in affordable housing for community happiness in Malaysia

GeoJournal - Two phases of study are involved in this research: first, the sales strategies for affordable houses embedded with eco-friendly and smart technology features; and second, the impact of...     

Updated Support Vector Machine for Seismic Liquefaction Evaluation Based on the Penetration Tests

Simplified techniques based on in situ testing methods are commonly used to predict liquefaction potential. Many of these simplified methods are based on finding the liquefaction boundary separating two categories (the occurrence or non-occurrence of liquefaction) through the analysis of liquefaction case histories. As the liquefaction classification problem is highly nonlinear in nature, it is difficult to develop a comprehensive model taking into account all the independent variables, such as the seismic and soil properties, using conventional modeling techniques. Hence, in many of the conventional methods that have been proposed, simplified assumptions have been made. In this study, an updated support vector machine (SVM) based on particle swarm optimization (PSO) is used to evaluate liquefaction potential in two separate case studies. One case is based on standard penetration test (SPT) data and the other is based on cone penetration test (CPT) data. The SVM model effectively explores the relationship between the independent and dependent variables without any assumptions about the relationship between the various variables. This study serves to demonstrate that the SVM can “discover” the intrinsic relationship between the seismic and soil parameters and the liquefaction potential. Comparisons indicate that the SVM models perform far better than the conventional methods in predicting the occurrence or non-occurrence of liquefaction.     

Levels, seasonal variations, and health risks assessment of ambient air pollutants in the residential areas

People living in the urban area and the surrounding suburban area have disparities in exposure and health risks due to different levels of ambient air pollutants. The main objective of this study is to investigate the concentrations, seasonal variations, and related health risks of ambient air pollutants (PM₁₀, NO₂, and SO₂) in urban and suburban areas of Ningbo, China. The results showed that the average PM₁₀, NO₂, and SO₂ concentrations in the urban area were 85.2, 49.3, and 37.4 μg/m³, which were 1.13, 1.25, and 1.41 times the values of the suburban area during the period of March 2009 to February 2010. For the potential health risk analysis, the residents have been divided into four age categories namely, infants, children (1 year), children (8–10 years), and adults. The analysis took into account age-specific breathing rates, body weights for different age categories. The results showed that the potential health risks to respiratory disease for all age categories living in urban area were higher than those in suburban area.