Recovering magnetic susceptibility from electromagnetic data over a one-dimensional earth

While the inversion of electromagnetic data to recover electrical conductivity has received much attention, the inversion of those data to recover magnetic susceptibility has not been fully studied. In this paper we invert frequency-domain electromagnetic (EM) data from a horizontal coplanar system to recover a 1-D distribution of magnetic susceptibility under the assumption that the electrical conductivity is known. The inversion is carried out by dividing the earth into layers of constant susceptibility and minimizing an objective function of the susceptibility subject to fitting the data. An adjoint Green's function solution is used in the calculation of sensitivities, and it is apparent that the sensitivity problem is driven by three sources. One of the sources is the scaled electric field in the layer of interest, and the other two, related to effective magnetic charges, are located at the upper and lower boundaries of the layer. These charges give rise to a frequency-independent term in the sensitivities. Because different frequencies penetrate to different depths in the earth, the EM data contain inherent information about the depth distribution of susceptibility. This contrasts with static field measurements, which can be reproduced by a surface layer of magnetization. We illustrate the effectiveness of the inversion algorithm on synthetic and field data and show also the importance of knowing the background conductivity. In practical circumstances, where there is no a priori information about conductivity distribution, a simultaneous inversion of EM data to recover both electrical conductivity and susceptibility will be required.     

末次间冰期127 ka时期植被反馈增强东亚夏季风降水的数值模拟研究

黄土和石笋等古气候代用资料表明在末次间冰期间,东亚夏季风增强、降水增多。本研究利用地球系统模式EC-Earth模拟了末次间冰期127 ka时期的气候,通过和工业革命前的气候模拟控制试验做比对,分析了127 ka时期由于地球轨道参数变化导致的东亚夏季风的空间变化特征。我们利用了两种EC-Earth的模式配置,即"大气-陆面-海洋-海冰"耦合模式和"大气-陆面-海洋-海冰-动态植被"耦合模式,分别估算轨道强迫和植被反馈对东亚夏季风降水变化的贡献。数值模拟结果表明,地球轨道强迫导致的海陆热力差异使得东亚夏季风系统显著增强并北移西伸,中国中部及华北地区降水增多而东部沿海地区降水减少。耦合了动态植被模式的试验结果表明,127 ka时期温暖湿润的气候致使东亚地区植被增多,植被的蒸腾作用使得地表的感热和潜热通量显著增大,从而增强了局地水循环,使降水进一步增多。植被的反馈作用在原本温暖湿润的华南地区对降水的影响并不显著,但是对相对干旱的我国中部和华北地区降水有显著影响。数值试验结果表明轨道强迫和植被反馈的共同作用能使内陆的四川盆地到华北一带夏季降水增加约40%,其中30%的增加是由于轨道强迫作用,约10%是由于植被反馈。这个研究也提醒我们,要得到更加合理的对过去或未来气候变化的模拟结果,有必要使用耦合动态植被的气候系统模式。

     

莫高窟PM10浓度与气象要素的关系

采用2018年敦煌莫高窟第16窟窟内与窟区PM₁₀浓度及气象数据,分析PM₁₀时空分布特征及其影响因素。结果表明：（1）两处监测点PM₁₀浓度主要分布在50 μg·m^-3以下,受重污染天气影响较小;春、冬、秋、夏季依次降低,窟区PM₁₀浓度在春、冬季高于窟内,夏、秋季反之。（2）PM₁₀浓度3月最高,9月最低,5—9月窟内月均值高于窟区。PM₁₀污染日数窟内5月最多,而窟区3、5月较多。（3）PM₁₀浓度日变化曲线在春季和秋季呈“双峰”型,夏季和冬季呈“单峰”型。（4）在半封闭环境的洞窟内,沙尘暴发生前后,PM₁₀浓度达到极值及恢复至原来水平的时间均滞后于窟区。（5）在不同季节PM₁₀浓度与气温、风速和降水呈负相关。除秋季外,PM₁₀浓度与相对湿度、气压呈正相关。（6）窟区全年主风向为ESE,在冬春两季,此风向PM₁₀浓度最高,PM₁₀主要来自三危山前的戈壁滩、干涸的大泉河河道以及窟前裸露的地表积尘。     

西北地区生态环境现状和演化规律研究

利用20世纪70年代和90年代两个时段西北内陆地区的土地利用资料和遥感信息，对西北内陆地区的生态环境景观的20年的变化趋势进行了评价。通过评价，定量分析了西北内陆地区生态环境的总体变化趋势，研究了人工绿洲和天然绿洲的平衡比例关系以及与生态环境总体稳定的内在关系。这项研究对研究和确定生态环境保护合理阈值，维持绿洲稳定，保障当地社会经济的长远发展具有重要意义。     

Spatial and temporal distribution of precipitation based on corrected TRMM data around the Hexi Corridor, China

Accurate rainfall distribution is difficult to acquire based on limited meteorological stations, especially in remote areas like high mountains and deserts. The Hexi Corridor and its adjacent regions （including the Qilian Mountains and the Alxa Plateau） are typical districts where there are only 30 available rain gauges. Tropical Rainfall Measuring Mission （TRMM） data provide a possible solution. After precision analysis of monthly 0.25 degree resolution TRMM 3B43 data from 1998 to 2012, we find that the correlations between TRMM 3B43 estimates and rain gauge precipitation are significant overall and in each station around the Hexi Corridor; however, the biases of annual precipitation differ in different stations and are seriously overestimated in most of the sites. Thus, Inverse Distance Weighting （IDW） interpolation method was used to rectify TRMM data based on the difference between TRMM 3B43 estimates and rain gauge observations. The results show that rectified TRMM data present more details than rain gauges in remote areas where there are few stations, alt- hough they show high coherence of distribution. Precipitation decreases from southeast to northwest on an annual and seasonal scale. There are three rainfall centers （〉500 mm） including Menyuan, Qilian and Toson Lake, and two low rain- fall centers （〈50 mm） including Dunhuang and Ejin Banner. Meanwhile, precipitation in most of the study area presents an increasing trend; especially in northern Qilian Mountains （〉5 mm/a）, Badain Jaran Desert （〉2 mm/a）, Toson Lake （〉20 mm/a） and Qingtu Lake （〉20 ram/a） which shows a significant increasing trend, while precipitation in Hala Lake （〈-2 mm/a） and Tengger Desert （〈-3 mm/a） demonstrates a decreasing trend.     

岩溶区地表水体惰性有机碳研究

岩溶作用所产生的岩溶碳汇对全球碳循环有着重要的影响。岩溶水生生物通过CO₂富集机制（CCM）固定岩溶水中的HCO₃^-,将其转化为有机碳。惰性有机碳（RDOC）为水生生物和微生物不能利用和降解的溶解性有机碳。RDOC长时间滞留水体,形成稳定碳汇。多次培养实验发现可以用原位微生物法对岩溶区地表水中的RDOC进行检测。以桂林漓江为对象,研究由外源水补给并流经岩溶峰林平原区的岩溶地表水中的RDOC及其相关因子,结果显示：1）漓江水中Ca²⁺,HCO₃^-浓度从上游到下游逐渐升高,表明外源水进入岩溶区,发生了岩溶作用。漓江水的C/N为6.29~10.50,表明水中有机碳的来源为外源水和水生生物作用。受岩溶作用和水生生物光合作用双重影响,δ¹³C-DIC值从上游到下游逐渐偏正,水生生物优先利用无机碳中的¹²C使得δ¹³C-POC从上游到下游逐渐偏负。C/N与δ¹³C-DIC、δ¹³C-POC的变化以及相关性体现了岩溶地表水体中无机环境和有机环境相关联;2）岩溶区地表水中检测出RDOC且浓度远大于非岩溶区,RDOC浓度的时空变化与水生生物利用岩溶作用所产生的HCO₃^-有关。漓江地表水中DOC、BDOC、RDOC浓度与HCO₃^-浓度变化趋势一致,从上游到下游逐渐升高,下游L6（岩溶区）RDOC浓度为上游L1（非岩溶区）的3倍,在季节上表现出秋季>冬季>夏季>春季,RDOC的含量平均占水体中DOC含量的78%左右,体现了岩溶作用强度和水生生物活动对岩溶地表水中RDOC的影响;3）结合流量数据计算RDOC通量：桂林水文站RDOC的通量为0.75×10⁷ kg/a,阳朔水文站的RDOC通量为1.3×10⁷ kg/a,是桂林水文站断面的1.7倍。

     

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach

The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have significantly enhanced our capacity to analyse massive geospatial data sets. However, only a few strategies have been developed to maximize the utilization of parallel computing resources to support interactive visualization. In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the distribution patterns of spatio-temporal data. The predicted results are used to schedule the allocation of visualization tasks. We integrated this strategy with a parallel visualization system deployed in a compute unified device architecture (CUDA)-enabled graphical processing units (GPUs) cloud. To evaluate the flexibility of this strategy, we performed experiments using dust storm data sets produced from a regional climate model. The results of the experiments showed that the proposed method yields stable and accurate prediction results with acceptable computational overheads under different types of interactive visualization operations. The results also showed that our strategy improves the overall visualization efficiency by incorporating intensity-based scheduling.     

美国南极科研投入的统计分析及其对我国的启示

近些年来南极科研越来越受到世界各国的重视,作为《南极条约》的发起者和南极条约体系的管理者,美国始终站在南极科学研究前沿,对维护其国际南极事务领导地位有着重要意义。1953—2016年美国国家科学基金资助了7 759个南极科研项目,通过统计分析对项目投入进行以下4个方面的分析:南极项目投入、南极科研各学科投入、科研大项目以及合作机构。研究发现:(1)1953年至今,美国国家科学基金会(NSF)对美国南极科研项目的资助力度和重视力度不断增加,促进了美国南极政策的落实和发展;(2)美国各大科学指导机构出台的前瞻性文件对引领美国南极科考发展方向起到重要作用;(3)NSF充分利用各高等院校和研究机构的资源设施,搭建科研支撑平台,与之展开长期南极科研项目合作;(4)NSF重视科研大项目的开展,这些大项目站在南极科学前沿,引领美国南极科研更好地发展;(5)NSF通过学校、社会、媒体多个渠道开展南极教育,增进群众对南极了解并培养科研人员来维护美国在南极的科考领先地位。上述研究发现为中国南极科研政策制定提供了相应的启示。     

福建永安石林地貌的现代生物喀斯特侵蚀营力

本文以永安石林为例，阐述分析了石林地貌的现代生物喀斯特侵蚀现象的类型及形态特征。结果表明，地表及地下的生物喀斯特侵蚀营力是石林现代侵蚀过程的主要因素，石林表面的大部分均有微生物覆盖并起侵蚀作用，形成明显的微观及超微溶蚀形态，石林表面的溶蚀作用性质不同于传统认识。对石林地貌发育提出了新的思考。