Assessing the Comparability of Ammonium,Nitrate and Sulfate Concentrations Measured by Three Air Quality Monitoring Networks

Airborne fine particulate matter across the United States is monitored by different networks, the three prevalent ones presently being the Clean Air Status and Trend Network (CASTNet), the Interagency Monitoring of PROtected Visual Environment Network (IMPROVE) and the Speciation and Trend Network (STN). If combined, these three networks provide speciated fine particulate data at several hundred locations throughout the United States. Yet, differences in sampling protocols and samples handling may not allow their joint use. With these concerns in mind, the objective of this study is to assess the spatial and temporal comparability of the sulfate, nitrate and ammonium concentrations reported by each of these networks. One of the major differences between networks is the sampling frequency they adopted. While CASTNet measures pollution levels on seven-day integrated samples, STN and IMPROVE data pertain to 24-hour samples collected every three days. STN and IMPROVE data therefore exhibit considerably more short-term variability than their CASTNet counterpart. We show that, despite their apparent incongruity, averaging the data with a window size of four to six weeks is sufficient to remove the effects of differences in sampling frequency and duration and allow meaningful comparison of the signals reported by the three networks of concern. After averaging, all the sulfate and, to a lesser degree, ammonium concentrations reported are fairly similar. Nitrate concentrations, on the other hand, are still divergent. We speculate that this divergence originates from the different types of filters used to collect particulate nitrate. Finally, using a rotated principal component technique (RPCA), we determined the number and the geographical organization of the significant temporal modes of variation (clusters) detected by each network for the three pollutants of interest. For sulfate and ammonium, the clusters’ geographical boundaries established for each network and the modes of variations within each cluster seem to correspond. RPCA erformed on nitrate concentrations revealed that, for the CASTNet and IMPROVE networks, the modes of variation do not correspond to unified geographical regions but are found more sporadically. For STN, the clustered areas are unified and easily delineable. We conclude that the possibility of jointly using the data collected by CASTNet, IMPROVE and STN has to be weighed pollutant by pollutant. While sulfate and ammonium data show some potential for joint use, at this point, combining the nitrate data from these monitoring networks may not be a judicious choice.     

Analysis of the environmental sensitivities of a typical dynamic epikarst system at the Nongla monitoring site, Guangxi, China

Nongla, a typical karst dynamic system (KDS) monitoring site, is located at Nongla Village, Mashan County, Guangxi, China. The data from a Greenspan CTDP300 multichannel data logger indicates that the KDS is highly sensitive to environmental changes. Multi-day and diurnal physico-chemical composition of epikarst spring water is quite different under different climatic conditions. During a day with no rainfall, water temperature and air temperature have similar variations. Electrical conductivity (EC) has good positive correlation with pH value and water temperature. During rainstorms, the physico-chemical composition of the spring water is initially strongly effected by dilution, pH and EC drop rapidly. However, half to one hour later, EC returns to normal and the CO₂ effects will be the dominant physical effect. This is due to the high fissure rates and high permeability in the epikarst zone. Dilution effects were observed during the entire rainstorm event,whereas, it only acts during the earliest period of light rain. Therefore, it is necessary to examine the water–rock–CO₂ combination as a whole system to explain the hydrochemical behavior of epikarst processes.     

Optical system research of multi-object fiber spectroscopic survey telescope

In the first part of this paper,four different Cassegrain optical systems with their correctors are designed and studied for multi-object fiber slit spectroscopic survey.The aperture in 6.5 m and field of view 3°are taken for these optical systems.Assuming observation wavelength range is 0.365–0.95μm,the maximum zenith distance for observing is 60°,the maximum diameter of these lenses is 1.66 m,the altitude of the telescope site is 2500 m,two correctors are composed of 4-piece lenses and the other two are 5-piece lenses.The results obtained are:f-ratio about 3.7,the image quality for all four systems with EE80D≤0.60′′,the linear diameter of the focal surface is about 1.2 m and 11 000 fibers can be set on it.Considering the limit of size of fused silica and optical glass,the maximum diameter for lens is about 1.7 m.Such a 6.5 m telescope is about the largest one if using the above correctors.Considering the multiobject spectroscopic survey is greatly important,we also studied some telescope optical systems having their aperture near or larger than 10 m used for the multi-object fiber spectroscopic survey.Such ideas are introduced in the last section of this paper.     

基于门限回归的气温对光伏发电量的影响分析

光伏发电与气象要素密切相关,正确认识气象因子对于光伏发电量及其发电效率的影响是进行发电量预测和维持光伏电站稳定运行的重要基础。采用江苏省淮安市某小型光伏电站2018—2020年发电量数据、淮安市太阳辐射观测站数据及光伏电站附近气象站观测数据,分析气温、太阳总辐射等气象因子对光伏发电量的影响。相关性分析结果表明,光伏发电量与太阳总辐射呈极强的正相关,基本随太阳总辐射的变化而变化;与气温、降水分别呈弱的正相关和弱的负相关;与风速几乎无相关。然而,灰色关联度分析显示,光伏发电量还与气温呈现出较高的灰色关联度。进一步分析表明,光伏发电量随太阳总辐射的变化受到气温的明显调制,不同气温下光伏发电效率不同。门限回归分析显示,当气温达到一定阈值时光伏发电效率会出现下降,具体表现为：当气温达到12.1 ℃,光伏发电效率下降26.7%;当气温超过22.8 ℃,光伏发电效率下降43.7%。使用这两个温度阈值建立的TR（Threshold Regression）模型的准确率要比线性回归模型提高约10%。     

青海省都兰县果洛龙洼金矿成矿流体

果洛龙洼金矿是青海东昆仑地区最典型、最具规模的金矿床之一。在前人资料基础上,将果洛龙洼金矿热液成矿期划分为4个成矿阶段：贫矿化石英阶段、石英-多金属硫化物阶段（主要成矿阶段）、石英-贫硫化物阶段（次要成矿阶段）和石英-碳酸盐阶段。随后对主要和次要成矿阶段石英脉开展流体包裹体显微测温和H-O同位素研究。结果表明：原生流体包裹体主要包括气液两相、富CO₂三相、纯CO₂两相共3类;成矿流体总体以CO₂-NaCl-H₂O体系为主,均一温度为130.0~357.3 ℃,盐度（w(NaCl)）为1.83%~20.11%。石英-多金属硫化物阶段石英δ¹⁸O_V-SMOW值为14.8‰~17.2‰,据此计算流体的δ¹⁸O_H2O值为5.5‰~8.5‰,流体的δD_V-SMOW值为-61‰~-96‰;而石英-贫硫化物阶段石英δ¹⁸O_V-SMOW值为15.7‰~16.9‰,据此计算流体的δ¹⁸O_H2O值为4.1‰~5.3‰,流体的δD_V-SMOW值为-84‰~-101‰。由此认为：主要成矿阶段成矿流体可能为高温低盐度富CO₂变质热液和低温中高盐度岩浆热液两个端元组成的混合流体;次要成矿阶段成矿流体主要为混合后更均匀的中低温中低盐度热液,但后期明显有大气降水混入。总之,成矿流体的来源、性质及其演化等方面的研究结果进一步证明果洛龙洼金矿为造山型金矿。     

Citizens as sensors: the world of volunteered geography

In recent months there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals. Sites such as Wikimapia and OpenStreetMap are empowering citizens to create a global patchwork of geographic information, while Google Earth and other virtual globes are encouraging volunteers to develop interesting applications using their own data. I review this phenomenon, and examine associated issues: what drives people to do this, how accurate are the results, will they threaten individual privacy, and how can they augment more conventional sources? I compare this new phenomenon to more traditional citizen science and the role of the amateur in geographic observation.     

湖北清江和尚洞风化岩壁放线菌分离及基于16S rRNA的种类分析

为探究湖北清江和尚洞岩壁放线菌物种组成及其与碳酸盐岩相互作用的关系,分别采集该洞穴无光区风化岩壁样品2份（W1和W2）和弱光区风化岩壁样品1份（W3）,采用经改良的5种已知放线菌分离培养基及1种自主设计的风化岩壁浸汁培养基两种策略优化设计分离培养基。采用稀释涂布法分离放线菌,并选择放线菌特异引物进行16S rRNA基因扩增和序列测定并构建系统发育树。结果表明,从3份风化岩壁样品中共纯化到放线菌72株,分属于放线菌纲（Actinobacteria）的4个属:链霉菌属（Streptomyces,69株）、红球菌属（Rhodococcus,1株）、冢村氏菌属（Tsukamurella,1株）和微杆菌属（Microbacterium,1株）,其中链霉菌属为优势菌属。无光区样品W1和W2分离到菌株较少,分别为9株和10株,而弱光区样品W3分离到菌株较多,为53株。研究结果为进一步研究放线菌与洞穴碳酸盐矿物相互作用的潜在关系奠定了基础。      

西藏南木林普洛岗岩体锆石定年和Hf同位素特征及其地质意义

对冈底斯中段南木林县普洛岗乡花岗岩岩体进行了原位锆石LA-ICP-MS U-Pb定年和Hf同位素分析。2个花岗岩样品加权平均年龄分别为(44.3±1.1)和(44.5±1.1) Ma,代表该岩体的岩浆结晶年龄为始新世。岩石地球化学资料显示,花岗岩SiO₂质量分数为60.53％~65.28%,K₂O+Na₂O质量分数为6.53％~7.98%,Al₂O₃质量分数为15.52％~16.13%,铝饱和指数为0.86~0.91,属于准铝质高钾钙碱性系列花岗岩类。花岗岩轻稀土元素相对较富集,具有明显的Eu负异常,微量元素中亏损Nb、Ta、Ti和富集Rb、Th、U、Pb。锆石Hf同位素初始比值ε_Hf(t)值为8.8~11.1,¹⁷⁶Hf/¹⁷⁷Hf 为0.282 994~0.283 060,Hf同位素地壳模式年龄为422~557 Ma,反映了其岩浆来源于新生地壳物质的部分熔融。普洛岗乡花岗岩的形成与新特提斯洋向北俯冲、俯冲板片折返断离有关。     

The effects of soil sand contents on characteristics of humic acids along soil profiles

It is generally accepted that the compositions and properties of soil organic matter (SOM) are influenced by many factors. In order to reveal the effects of soil texture on characteristics and dynamics of SOM and its sub-fraction, humic acid (HA), along two soil profiles, a yellow soil profile and a purplish soil profile, under the same climate and vegetation conditions were determined. Results indicate that the decomposition and humification degrees of SOM and HA of the purplish soils are higher than those of the corresponding yellow soils indicated by A/O–A ratios of HAs, TOCs and HA yields of bulk soil samples, nevertheless, the development degree of the purplish soil is lower than that of the yellow soil. The variations of E₄/E₆ ratios of HAs along the soil profiles indicate the overall molecular sizes of HAs decreased downward along the soil profiles. A/O–A ratios of HAs decreased downward along both the soil profiles indicate that humification processes decrease downward along both the soil profiles. Leaching of SOM shows significant effects on the distribution and characteristics of HAs in the yellow soil profile but the purplish soil profile, which is consistent with the higher hydrophobicity of HAs in purplish soils, shows that the distribution characteristics of SOM along the soil profiles are a complex result of the combination of soil texture and characteristics of SOM itself. The remarkably different sand contents are concluded tentatively as one of reasons to the different distributions and dynamics of HAs along the soil profiles, however, to profoundly understand the evolution and transport of SOM along soil profiles needs more researches.     

乌力吉木仁河三级区水资源变异及归因分析

随着气候变化和人类活动对水资源影响越来越显著,大量水文序列的统计规律不再满足一致性要求而出现了变异。水资源日益重要的社会地位,要求在对水文变异进行检测的同时,需进一步量化影响其变异的因素,但目前归因分析的研究仍以定性或半定量为主。由于降雨和径流是水循环中关键的水文要素,且分别可以反映气候变化和人类活动对水资源的影响,利用降雨-径流关系提出了定量研究水资源变异的归因分析方法。结合乌力吉木仁河三级区1956~2000的年径流和年降雨序列,在对其分别进行变异诊断的基础上,定量地分析了造成该区水文变异的原因。计算结果表明:气候变化对乌力吉木仁河三级区水资源变异的贡献率为24%,而人类活动影响的贡献率为76%,可见人类活动是造成该区水资源变异的主要因素。