ASTER数据的煤矿区水体信息提取

为实现多光谱数据对煤矿区水体信息提取,以萍乡市芦新岭及周边煤矿为试验区,在国内外学者对水体指数法提取水体信息和应用的启发下,对试验区不同地物的波谱特征进行分析。本文首先利用数学统计方法建立一种ASTER数据综合归一化差异水体指数模型SWI ASTER_xy,然后利用这一模型对试验区进行水体信息提取。试验表明,该模型能够有效地提取矿区各类水体,还可以运用在ASTER数据（或其他多光谱数据）对不同区域不同地物的提取,在遥感地物定量提取上具有很好的效果和潜力,具有一定的推广价值。     

北京地区静稳天气综合指数的初步构建及其在环境气象中的应用

静稳天气与大气重污染的发生有紧密联系,为定量描述大气的静稳程度,文章研发了静稳天气综合指数。结合统计和预报经验,挑选发生大气污染的气象要素及其阈值条件,通过权重求和得到初步构建静稳天气指数(SWI)。此后,基于近13年的气象数据,分段统计各气象要素不同区间内雾-霾天气出现概率相对气候态的倍数作为分指数,根据分指数最大值和最小值的比值排序,得到10个对静稳天气具有较强指示意义的气象要素,对这10个要素的分指数求和得到静稳天气指数。改进后的指数和PM_(2.5)浓度有更好的相关性。以2015年1月一次重污染过程为例,分析不同阶段SWI和AQI指数的变化,两者具有较好的一致性,均表现出发展阶段稳定增长,消散阶段迅速降低的特征。应用静稳天气指数评估发现,APEC减排期间京津冀地区大气静稳程度和减排之前相当,但污染持续时间和峰值强度较减排前明显降低。SWI可以在重污染天气预报和重大活动减排措施评估中得到有效应用。     

Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data

Soil moisture has a pronounced effect on earth surface processes. Global soil moisture is strongly driven by climate, whereas at finer scales, the role of non‐climatic drivers becomes more important. We provide insights into the significance of soil and land surface properties in landscape‐scale soil moisture variation by utilizing high‐resolution light detection and ranging (LiDAR) data and extensive field investigations. The data consist of 1200 study plots located in a high‐latitude landscape of mountain tundra in north‐western Finland. We measured the plots three times during growing season 2016 with a hand‐held time‐domain reflectometry sensor. To model soil moisture and its temporal variation, we used four statistical modelling methods: generalized linear models, generalized additive models, boosted regression trees, and random forests. The model fit of the soil moisture models were R² = 0.60 and root mean square error (RMSE) 8.04 VWC% on average, while the temporal variation models showed a lower fit of R² = 0.25 and RMSE 13.11 CV%. The predictive performances for the former were R² = 0.47 and RMSE 9.34 VWC%, and for the latter R² = 0.01 and RMSE 15.29 CV%. Results were similar across the modelling methods, demonstrating a consistent pattern. Soil moisture and its temporal variation showed strong heterogeneity over short distances; therefore, soil moisture modelling benefits from high‐resolution predictors, such as LiDAR based variables. In the soil moisture models, the strongest predictor was SAGA (System for Automated Geoscientific Analyses) wetness index (SWI), based on a 1 m² digital terrain model derived from LiDAR data, which outperformed soil predictors. Thus, our study supports the use of LiDAR based SWI in explaining fine‐scale soil moisture variation. In the temporal variation models, the strongest predictor was the field‐quantified organic layer depth variable. Our results show that spatial soil moisture predictions can be based on soil and land surface properties, yet the temporal models require further investigation. Copyright © 2017 John Wiley & Sons, Ltd.     

磁敏感加权成像临床应用和在血管瘤评估中的研究进展

磁敏感加权成像是一种近年发展的MRI新技术,在中枢神经系统疾病中的诊断及鉴别诊断中的重要作用已经得到了广大临床大夫的认可,具有很高的应用价值和拓展前景。SWI作为常规MRI检查的重要补充序列,采用3D梯度回波扫描,完全速度补偿,射频脉冲扰相等技术,具有三维、高分辨率、高信噪比的特点,可以更好地分析软组织血管瘤的结构成分,鉴别活动性出血、机化血栓、钙化及铁沉积等。而且SWI相位图能够清楚显示瘤体内部新生血管、瘤体周围静脉血管位置和形态改变,更有利于准确评估病变范围及程度,为血管瘤定位及定性诊断可以提供更多的影像信息,对于临床诊断及治疗方案的制定、预后评估都具有重要的应用价值。     

1951-2005年中国区域气候变化与干旱化趋势

摘 要：利用1951-2006年中国区域160个站的月降水及月平均气温资料,对中国区域近56 a气候要素的变化及其与干旱化联系的事实进行了分析。结果表明：降水减少的地区主要位于我国北方的西北东部、华北及东北;在南方,西南的降水减少趋势与上述地区具有类似特征。气温基本为增温趋势,而西北东部及西南地区气温也在20世纪80年代发生转折性变化,由80年代中期以前的降温趋势转为其后的增温趋势。地表湿润指数分析的结果指出：我国西北东部、华北、东北及西南地区当前正处于一个干旱化过程,但不同地区干湿变化特征及干旱化的持续时间和位相却有差别。     

沉积物-水界面污染物迁移扩散的研究进展

污染物在沉积物-水界面的迁移扩散对研究其环境生物地球化学循环过程和评估水生态系统质量具有重要意义.本文回顾了关于沉积物-水界面的基本研究历程,重点介绍沉积物-水界面的垂向结构以及扩散边界层（DBL）的作用,展示污染物在沉积物-水界面的多维度分布（一维垂向、二维平面和三维立体）及其在沉积物-水界面的扩散过程,详细总结影响污染物在沉积物-水界面迁移扩散的环境因素（包括温度、溶解氧或氧化还原条件、pH值、离子强度或盐度、沉积物组成、共存污染物、溶解性有机质、水动力条件、生物扰动、微生物以及其他因素）,讨论当前关于沉积物-水界面污染物扩散通量估算几种方法的优缺点,最后,对沉积物-水界面污染物扩散研究在未来发展需要关注的几个方面进行了展望.     

1961—2012年甘肃省干湿变化特征及其影响因子

基于1961—2012年甘肃省和青海省祁连山区54个气象站逐日气象数据,分析了甘肃省地表湿润指数的时空变化特征及各气象要素对不同区域干湿变化的影响程度.结果表明:近52年,以黄河为界,甘肃东、西部呈现出不同的干湿变化趋势,河东地区趋于干旱,尤其是陇中和陇东部分地区;河西部分区域趋于湿润,尤其是祁连山中部地区.河东变干主要是秋季显著变干,其中9月最突出;河西变湿主要是冬季变湿,尤其是在12月和1月.敏感性和贡献度分析表明,除降水量外,地表湿润指数对空气相对湿度的敏感性最高,其次是日照时数,再次是最高温度和平均风速,对最低温度的敏感性最低.近52年地表湿润指数-30％～30%的相对变化量中,降水量的贡献最大,贡献量在-30%～25%;其次是风速,贡献量在-4％～12%,最高温度、最低温度、日照时数以及相对湿度的贡献较小,在-4％～4%.     

Identification of groundwater drought prone zones in Pedda vagu and Ookachetti vagu watersheds,tributaries of the Krishna River,India

The Pedda vagu and Ookachetti vagu watersheds located in the semi-arid regions of Mahabubnagar district are highly dependent on groundwater for irrigation owing to unreliable rainfall and over extraction of groundwater. The present study has been conducted to identify spatio-temporal groundwater droughts and drought-prone zones. Temporal groundwater droughts have been determined using a standardized water-level index along with spatial groundwater droughts using spline interpolation in Geographic Information Systems. The study shows that the groundwater droughts varied among the stations during the observation period, i.e. 1998–2011. However, the spatial assessment shows that the region as such experienced more mild groundwater droughts except during severe meteorological drought years (1998, 2002, 2004 and 2008); this indicates that the region has good scope for groundwater exploitation during dry spells and initial stages of droughts. Therefore, it is critical to have plans for the development of groundwater to cope with drought.     

综合水体指数的创建

在对NDWI和MNDWI等传统水体指数进行分析的基础上,本文提出了一种创建水体指数的新思路:将多光谱图像进行LBV和HSV等复合变换,综合利用变换前的多波段信息和变换后的新波段信息绘制地物光谱曲线,寻找水体的光谱特性,进行水体指数的创建.本文利用ETM+图像HSV变换后的Sat波段以及LBV变换后的V波段,创建了综合水体指数(SWI),并利用SWI进行了遥感影像水体信息自动提取实验.实验表明:利用SWI能准确提取水体信息,有效减少水体提取结果中的误提取像元.     

Geochemistry of Peruvian near-surface sediments

Sixteen short sediment cores were recovered from the upper edge (UEO), within (WO) and below (BO) the oxygen minimum zone (OMZ) off Peru during cruise 147 of R/V Sonne. Solids were analyzed for major/trace elements, total organic carbon, total inorganic carbon, total sulfur, the stable sulfur isotope composition (δ³⁴S) of pyrite, and sulfate reduction rates (SRR). Pore waters were analyzed for dissolved sulfate/sulfide and δ³⁴S of sulfate. In all cores highest SRR were observed in the top 5 cm where pore water sulfate concentrations varied little due to resupply of sulfate by sulfide oxidation and/or diffusion of sulfate from bottom water. δ³⁴S of dissolved sulfate showed only minor downcore increases. Strong ³²S enrichments in sedimentary pyrite (to −48‰ vs. V-CDT) are due to processes in the oxidative part of the sulfur cycle in addition to sulfate reduction. Manganese and Co are significantly depleted in Peruvian upwelling sediments most likely due to mobilization from particles settling through the OMZ, whereas release of both elements from reducing sediments only seems to occur in near-coastal sites. Cadmium, Mo and Re are exceptionally enriched in WO sediments (<600 m water depth). High Re and moderate Cd and Mo enrichments are seen in BO sediments (>600 m water depth). Re/Mo ratios indicate anoxic and suboxic conditions for WO and BO sediments, respectively. Cadmium and Mo downcore profiles suggest considerable contribution to UEO/WO sediments by a biodetrital phase, whereas Re presumably accumulates via diffusion across the sediment-water interface to precipitation depth. Uranium is distinctly enriched in WO sediments (due to sulfidic conditions) and in some BO sediments (due to phosphorites). Silver transfer to suboxic BO sediments is likely governed by diatomaceous matter input, whereas in anoxic WO sediments Ag is presumably trapped due to sulfide precipitation. Cadmium, Cu, Zn, Ni, Cr, Ag, and T1 predominantly accumulate via biogenic pre-concentration in plankton remains. Rhenium, Sb, As, V, U and Mo are enriched in accordance with seawater TE availability. Lead and Bi enrichment in UEO surface sediments is likely contributed by anthropogenic activity (mining). Accumulation rates of TOC, Cd, Mo, U, and V from Peruvian and Namibian sediments exceed those from the Oman Margin and Gulf of California due to enhanced preservation off Peru and Namibia.