新冠病毒疫情期间复工复产卫星遥感监测

本文利用美国新一代极轨卫星NPP搭载的VIIRS载荷数据反演获得的热点数据,以及美国NASA的Aura卫星搭载的OMI载荷的二氧化氮对流层柱浓度资料,对中国地区2020-01—02及2019年同期,以及抗击疫情期间和后期复工复产的情况进行监测。监测结果表明：（1）2020-02较1月份及2019年同期相比,工业企业的耗能水平却出现显著降低,NO₂浓度呈现显著下降趋势。（2）全国工业热源点数和分布范围及密度自2020-02-03正式复工后稳步提升。湖北省除武汉、黄石和鄂州地区仍可监测到少数热点外,其他地区2月份均未再监测到任何热点,也证明了湖北基本没有复工迹象。（3）疫情得到基本控制之后,京津冀地区工业热源点有显著增加,但新增区域一般仍处于低能耗水平。从全国大气NO₂柱浓度监测来看,复工开始前后与2019年同期相比,污染物浓度均呈现明显下降趋势,说明复工强度有限。（4）到3月初工业热源点及其能耗水平出现显著升高,中国大部分地区的热源企业虽已逐步复工生产,说明工业产能较2月有显著提升,但生产规模或产能并未完全恢复。     

祁县王村锶—偏硅酸饮用天然矿泉水

王村矿泉水为松散岩类孔隙水和碎屑岩裂隙水的混合水。它受深循环远源补给。矿泉水的动态稳定、水质优良、口感纯正，属锶—偏硅酸饮用天然矿泉水，是山西较好的饮用矿泉水源之一，有良好的开发前景。稷山南阳矿泉水是一个含锶—锌—偏硅酸等多种微量元素的重碳酸硫酸钠型饮用天然矿泉水。该矿泉水处于侯马断陷盆地内次一级断裂的复合部位，赋存于中更新统中下部的中细砂层中。水量丰富，涌水量可达８００ｍ￣３／ｄ。此矿泉水动态稳定，口感纯正，产地环境优美，无任何污染。自１９８８年发现，１９８９年开发利用至今，该矿泉水、矿泉饮料畅销不衰，是一处具有发展远景的优质矿泉水。     

TRMM卫星降水数据在小尺度流域的评估与应用

选取史灌河流域上游黄泥庄站以上集水区域为研究流域,以地面站点观测为基准数据,评估TRMM 3B42V7版本卫星降水数据的精度,并采用上述两种降水数据驱动栅格型新安江模型,模拟黄泥庄站日径流和月径流过程。结果表明:2001~2010年TRMM 3B42V7降水数据与雨量站数据累积量的偏差不大,仅为1.71%,但相关系数较低,采用TRMM降水数据模拟的日径流能基本再现黄泥庄站的日径流过程,但对洪峰的模拟精度较低;TRMM月降水数据精度较高,相关系数为0.96,能够较为精确地模拟黄泥庄站的月径流过程。     

Sentinel-2卫星落叶松林龄信息反演

林龄结构信息能够有效反映区域森林群落不同生长阶段的固碳能力,对于评估森林生态系统的健康状况具有重要意义。本研究以中国温带典型优势树种落叶松林为研究对象,分别选择其芽萌动期、展叶期和落叶期时段的Sentinel-2影像,采用多元线性回归（MLR）、随机森林（RF）、支持向量机回归（SVR）、前馈反向传播神经网络（BP）以及多元自适应回归样条（MARS）等5种方法依次构建落叶松林龄反演模型。通过相关性分析首先确定最佳遥感反演物候期,并在此基础上根据相关性差异筛选出5个最优特征变量用于模型反演,分别为冠层含水量（CWC）,归一化水体指数（NDWI）,叶面积指数（LAI）,光合有效辐射吸收率（FAPAR）和植被覆盖度（FVC）。研究结果表明,展叶期为落叶松林最佳遥感反演物候期。除植被衰减指数（PSRI）以及落叶期的NDVI、RVI外,落叶松林龄与各指标之间均呈负相关关系,其中与冠层含水量（CWC）的相关性最高,pearson相关系数达到-0.74（p<0.01）。此外,不同模型反演结果表明,随机森林模型（RF）为最佳落叶松林龄估测模型,其平均决定系数R²和平均均方根误差RMSE分别为0.89和2.91 a;多元线性回归模型（MLR）的林龄估测结果最差,其平均决定系数R²和平均均方根误差RMSE仅为0.57和5.69 a,非线性模型能更好的解释林龄与建模变量之间的关系。     

西安灞河流域现代岩溶作用与CO_2吸收量

本文探讨了灞河流域岩溶特征、ＣＯ２估算方法和ＣＯ２吸收量。观测资料表明,灞河流 域河水中ｐＨ值在冬春季高,夏秋季低,而ＨＣＯ３含量通常与ｐＨ相反。河水和黄土地下水中 ｐＨ值、ＨＣＯ３等化学成分含量与北方南部石灰岩区岩溶水基本相同,表明该区现代岩溶作用 明显,黄土地层也在不断吸收ＣＯ２,并对全球碳循环有重要影响。雨水富含ＣＯ２,其中约有 ８２％的ＣＯ２被岩溶过程吸收,１８％左右的随河水流失。根据一个流域ＣＯ２输入量和输出量,可 以计算岩溶过程中 ＣＯ２吸收量。计算表明,灞河流域现代岩溶过程中每年吸收的 ＣＯ２约为５６３２．８ｔ。     

CO2 Flux Estimation by Different Regression Methods from an Alpine Meadow on the Qinghai-Tibetan Plateau

CO2 efflux was estimated using different regression methods in staticchamber observation from an alpine meadow on the Qinghai-Tibetan Plateau.The CO2 efflux showed a seasonal pattern, with the maximun fluxoccurring in the middle of July. The temperature sensitivity of CO2efflux (Q10> was 3.9, which was at the high end of the range ofglobal values. CO2 emissions calculated by linear and nonlinearregression were significantly different (p<0.05). Compared with the linearregression, CO2 emissions calculated by exponential regression andquadratic regression were 12.7% and 11.2% larger, respectively.However, there were no significant differences in temperature sensitivityvalues estimated by the three methods. In the entire growing season, theCO2 efflux estimated by linear regression may be underestimated by upto 25% compared to the real CO2 efflux. Consequently, great cautionshould be taken when using published flux data obtained by linear regressionof static chamber observations to estimate the regional CO2 flux inalpine meadows on the Qinghai-Tibetan Plateau.     

基于SVD和BRD的二维核磁共振测井正则化反演算法研究

二维核磁共振能从"弛豫-扩散"两个维度上展现流体性质,在识别稠油储层方面具有理论优势,是当前核磁共振测井技术的研究热点.本文深入研究二维核磁共振测井原理,系统分析CPMG-DE脉冲序列测量扩散系数与弛豫时间的方法,结合核磁共振二维谱数理模型,提出一种基于SVD和BRD的正则化反演算法.该算法通过SVD压缩数据,采用带非负约束的Tikhonov正则化方法求解流体"弛豫-扩散"分布,并基于BRD算法迭代确定最佳正则化因子.模拟实验与数值分析表明,该算法无需先验信息、运算效率高、相对误差小,在原始数据信噪比低至50时,仍可有效获取流体(T2,D)二维分布.在二维核磁共振测井数据实时解释应用中,该方法较传统反演算法(如TSVD)具有较大优势.同时,在自主研发的核磁共振测井仪测量CuSO4溶液(T2,D)分布的实验显示,本文设计算法对弛豫时间和扩散系数的反演误差分别仅为2%和4%,较TSVD算法有较大改善.     

Site effects at Euroseistest—I. Determination of the valley structure and confrontation of observations with 1D analysis

This paper describes the process of construction of the 2D model of Volvi's geological structure and results of empirical and theoretical approaches to the evaluation of site response at Euroseistest. The construction of the 2D model is based on a re-interpretation of the available geophysical and geotechnical data in an effort to improve the definition of the subsoil structure at Euroseistest in terms of the most important parameters needed to model site response. The results of this re-interpretation are compared with a previous published 2D model of the same alluvial valley. Different analysis of the measurements and different criteria in the synthesis of data have led to a different model, even if both studies had access to the same field measurements. This underscores the fact that a model results of an interpretation and is not uniquely determined by the data, no matter how detailed they are. The well known subsoil structure opened the possibility to correlate the geometry and the dynamic properties of the 2D model with the results of site response determined from a detailed analysis of two events in frequency and time domains and 1D numerical modeling. The study of site response shows the important effect of the lateral variations on the ground motion and suggests that the contribution of locally generated surface waves to the resonant peak may be important. In the case of Volvi's graben, the limitations of the 1D approximation to simulate ground motion under complex soil conditions in both frequency and time domains are also shown. This paper lays the ground for a companion article dealing with 2D site effects in this basin.     

石墨炉原子吸收光谱法测定土壤样品中镉

采用磷酸氢二铵作基体改进剂塞曼扣背景石墨炉原子吸收光谱法测定土壤样品中镉，方法检出限DL=0．012μg／g，精密度RSD在3．55％～7．33％，满足了土壤样品中镉测定的镉质量要求。