Population growth in Bejing: trends and countermeasures

Beijing’ population has experienced a dramatic increase eversince the founding of the People’s Republic of China. Population growthin Beijing can be broadly broken down into three major components:natural increase, immigration, and the growth of floating population. Thecontinuous growth of Beijing’s population is closely linked with its centralized multi-function. The comprehensive countermeasures to control Beijing’s population growth are proposed, for example, decentralizing economicfunctions, including developing the suburbs, developing the metropolitan areaand creating counter-magnetic centers, reforming the administrative and economic systems.     

基于机器学习的锆石成因分类研究

锆石是在自然界中多种温压条件下能够稳定保存,并记录原岩年龄信息的副矿物。锆石微量元素能完整记录地质演化过程信息。通过微量元素分析锆石成因的研究已久,通常利用Th-U图解和La_N-(Sm/La)_N图解等二元图解对锆石进行分类研究。然而,随着锆石研究的深入,以及二元图解无法呈现数据高维度信息的局限性,传统图解已经不能满足对锆石类型进行准确判别,且对已知类型的锆石出现判定偏差。因此,本文将地质大数据与机器学习相结合,训练出高维度锆石成因分类器。文中收集了3 498条不同成因类型的锆石微量元素数据,并通过测试和运用随机森林、支持向量机、人工神经网络和k近邻等4种机器学习算法,最终得出准确率为86.8%的线性支持向量机锆石成因分类器,用于锆石类型的判定与预测。这项工作为锆石分类研究提供了更高维度的判别手段,极大提高了微量元素分析成因结果的精度。将锆石微量元素数据与机器学习方法相结合,是大数据分析与机器学习技术在地球化学研究中的积极探索。     

Release of heavy metals during weathering of the Lower Cambrian Black Shales in western Hunan,China

Weathering of heavy metal enriched black shales may be one of the most important sources of environmental contamination in areas where black shales are distributed. Heavy metal release during weathering of the Lower Cambrian Black Shales (LCBS) in western Hunan, China, was investigated using traditional geochemical methods and the ICP-MS analytical technique. Concentrations of 16 heavy metals, 8 trace elements and P were measured for samples from selected weathering profiles at the Taiping vanadium ore mine (TP), the Matian phosphorous ore mine (MT), and Taojiang stone-coal mine (TJ). The results show that the bedrock at these three profiles is enriched with Sc, V, Cr, Co, Ni, Cu, Zn, Pb, Th, U, Mo, Cd, Sb, Tl, and P. Based on mass-balance calculation, the percentages of heavy metals released (in % loss) relative to immobile element Nb were estimated. The results show significant rates of release during weathering of: V, Cr, Co, Ni, Cu, Zn, U, Mo, Cd, Sn, Sb, and Tl for the TP profile; Sc, Cr, Mn, Co, Ni, Cu, Zn, Pb, Th, Cd, and Sn for the MT profile; and Sc, Mn, Co, Ni, Zn, Th, Cd, Sn, and Tl for the TJ profile. Among these heavy metals, Co, Ni, Zn, Cd, and Sn show very similar features of release from each of the three weathering profiles. The heavy metals released during weathering may affect the environment (especially topsoil and surface waters) and are possibly related to an observed high incidence of endemic diseases in the area.     

加味桂枝甘草龙骨牡蛎汤治疗心阳不振型室性早搏35例临床观察

目的:观察加味桂枝甘草龙骨牡蛎汤治疗心阳不振型室性早搏的临床疗效。方法：将70 例心阳不振型室性早搏患者随机分为治疗组和对照组,每组各35 例。对照组予以琥珀酸美托洛尔缓释片治疗,治疗组在对照组基础上联合加味桂枝甘草龙骨牡蛎汤治疗。比较2组治疗前后的中医证候积分、24 h室性早搏次数及不良反应发生情况,并评定综合疗效。结果：总有效率治疗组为88.57%（31/35）,对照组为62.86%（22/35）,2组比较,差异有统计学意义（P<0.01）;2组中医证候积分及24 h室性早搏次数治疗前后组内比较及治疗后组间比较,差异均有统计学意义（P<0.01）。2组均出现轻度胃部不适、恶心等不良反应,其中治疗组2 例,对照组1 例。结论：加味桂枝甘草龙骨牡蛎汤能有效改善心阳不振型室性早搏患者的症状,减少室性早搏发生次数,值得临床推广和应用。     

Global water vapor content decreases from 2003 to 2012: An analysis based on MODIS data

Water vapor in the earth′s upper atmosphere plays a crucial role in the radiative balance, hydrological process, and climate change. Based on the latest moderate-resolution imaging spectroradiometer(MODIS) data, this study probes the spatio-temporal variations of global water vapor content in the past decade. It is found that overall the global water vapor content declined from 2003 to 2012(slope b = –0.0149, R = 0.893, P = 0.0005). The decreasing trend over the ocean surface(b = –0.0170, R = 0.908, P = 0.0003) is more explicit than that over terrestrial surface(b = –0.0100, R = 0.782, P = 0.0070), more significant over the Northern Hemisphere(b = –0.0175, R = 0.923, P = 0.0001) than that over the Southern Hemisphere(b = –0.0123, R = 0.826, P = 0.0030). In addition, the analytical results indicate that water vapor content are decreasing obviously between latitude of 36°N and 36°S(b = 0.0224, R = 0.892, P = 0.0005), especially between latitude of 0°N and 36°N(b = 0.0263, R = 0.931, P = 0.0001), while the water vapor concentrations are increasing slightly in the Arctic regions(b = 0.0028, R = 0.612, P = 0.0590). The decreasing and spatial variation of water vapor content regulates the effects of carbon dioxide which is the main reason of the trend in global surface temperatures becoming nearly flat since the late 1990 s. The spatio-temporal variations of water vapor content also affect the growth and spatial distribution of global vegetation which also regulates the global surface temperature change, and the climate change is mainly caused by the earth's orbit position in the solar and galaxy system. A big data model based on gravitational-magmatic change with the solar or the galactic system is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatio-temporal variations of global water vapor content, vegetation and temperature at large spatio-temporal scale. This comprehensive examination of water vapor changes promises a holistic understanding of the global climate change and potential underlying mechanisms.     

水田SAR后向散射强度及干涉相干特性研究

利用2007-2011年获取的ALOS PALSAR HH极化方式的FBS及FBD共21景数据, 结合实地1:500土地利用分类图, 对苏南无锡惠山试验区进行了水稻田后向散射强度的时间特性试验及干涉相干特性分析。试验结果表明:该区水稻田后向散射强度随生长周期的变化而变化, 且与各生长阶段的灌溉需水规律的变化一致, 需水量越大, 后向散射强度值越小。干涉相干特性试验表明:同期干涉相干系数略高于非同期干涉相干系数, 且在同期干涉试验中, 时间基线相同的情况下, 非水稻种植期的干涉相干系数达到最高, 其值明显高于水稻种植期的相干系数, 该试验结果对苏南地表沉降监测SAR影像干涉对的选取及地物变化检测具有重要的参考价值。     

遥感估算热惯量研究的回顾与展望

热惯量是影响地表温度变化的一个重要因子,随着热红外数据反演地表温度算法的不断完善,遥感技术已 成为估算热惯量的主要手段。本文回顾了近些年来遥感估算热惯量研究的进展,对其中3 种主要方法即地表温度 日较差法、日出日落温差法及模型反演法进行了评述,重点讨论了地表温度日较差估算热惯量方法,并提出从加强 机理研究、尺度转换及采用多时相多光谱数据等方面进一步完善遥感估算热惯量方法、提高其估算精度的设想。     

Effects of river damming on biogenic silica turnover: implications for biogeochemical carbon and nutrient cycles

Rivers link terrestrial ecosystems and marine ecosystems, and they transport large amounts of substances into oceans each year, including several forms of silicon (Si), carbon (C), and other nutrients. However, river damming affects the water flow and biogeochemical cycles of Si, C, and other nutrients through biogeochemical interacting processes. In this review, we first summarize the current understanding of the effects of river damming on the processes of biogeochemical Si cycle, especially the source, composition, and recycling process of biogenic silica (BSi). Then, we introduce dam impacts on the cycles of C and some other nutrients. Dissolved silicon in rivers is mainly released from phytolith dissolution and silicate weathering. BSi in suspended matter or sediments in most rivers mainly consists of phytoliths and mainly originates from soil erosion. However, diatom growth and deposition in many reservoirs formed by river interception may significantly increase the contribution of diatom Si to total BSi, and thus significantly influence the biogeochemical Si, C, and nutrient cycles. Yet the turnover of phytoliths and diatoms in different rivers formed by river damming is still poorly quantified. Thus, they should be further investigated to enhance our understanding about the effects of river damming on global biogeochemical Si, C and nutrient cycles.     

LiDAR DEM在平原区河网自动提取中的应用研究

利用数字高程模型(DEM)提取数字河网是水文模拟的关键和基础。本文分别利用传统方法与LiDAR生成的DEM数据源,针对地势起伏较小的江南平原区进行河网提取的对比研究。研究结果表明,未经任何处理的LiDAR DEM提取的河网与真实河网的匹配度达到67.34%,较传统DEM提取的河网与真实河网的匹配度有明显提高,提取结果与真实河网基本吻合。这种快速有效自动提取河网的方法,可以为后续分布式水文模型的构建提供重要参考。     

Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station

Long-term,ground-based daily global solar radiation (DGSR) at Zhongshan Station in Antarctica can quantitatively reveal the basic characteristics of Earth’s surface radiation balance and validate satellite data for the Antarctic region.The fixed station was established in 1989,and conventional radiation observations started much later in 2008.In this study,a random forest (RF) model for estimating DGSR is developed using ground meteorological observation data,and a highprecision,long-term DGSR dataset is constructed.Then,the trend of DGSR from 1990 to 2019 at Zhongshan Station,Antarctica is analyzed.The RF model,which performs better than other models,shows a desirable performance of DGSR hindcast estimation with an R~2 of 0.984,root-mean-square error of 1.377 MJ m~(-2),and mean absolute error of 0.828 MJ m~(-2).The trend of DGSR annual anomalies increases during 1990–2004 and then begins to decrease after 2004.Note that the maximum value of annual anomalies occurs during approximately 2004/05 and is mainly related to the days with precipitation (especially those related to good weather during the polar day period) at this station.In addition to clouds and water vapor,bad weather conditions (such as snowfall,which can result in low visibility and then decreased sunshine duration and solar radiation) are the other major factors affecting solar radiation at this station.The high-precision,longterm estimated DGSR dataset enables further study and understanding of the role of Antarctica in global climate change and the interactions between snow,ice,and atmosphere.