Assessment of trace metals in droppings of Adélie penguins (Pygoscelis adeliae) from different locations of the Antarctic Peninsula area

In recent decades, polar regions of the planet have witnessed an increase in human presence. Antarctica is considered one of the most pristine regions of the world, but it could be affected by pollutio...     

Automated high resolution mapping of coffee in Rwanda using an expert Bayesian network

African highland agro-ecosystems are dominated by small-scale agricultural fields that often contain a mix of annual and perennial crops. This makes such systems difficult to map by remote sensing. We developed an expert Bayesian network model to extract the small-scale coffee fields of Rwanda from very high resolution data. The model was subsequently applied to aerial orthophotos covering more than 99% of Rwanda and on one QuickBird image for the remaining part. The method consists of a stepwise adjustment of pixel probabilities, which incorporates expert knowledge on size of coffee trees and fields, and on their location. The initial naive Bayesian network, which is a spectral-based classification, yielded a coffee map with an overall accuracy of around 50%. This confirms that standard spectral variables alone cannot accurately identify coffee fields from high resolution images. The combination of spectral and ancillary data (DEM and a forest map) allowed mapping of coffee fields and associated uncertainties with an overall accuracy of 87%. Aggregated to district units, the mapped coffee areas demonstrated a high correlation with the coffee areas reported in the detailed national coffee census of 2009 (R² = 0.92). Unlike the census data our map provides high spatial resolution of coffee area patterns of Rwanda. The proposed method has potential for mapping other perennial small scale cropping systems in the East African Highlands and elsewhere.     

Rock-magnetic properties of topsoils and urban dust from Morelia (>800,000 inhabitants), Mexico: Implications for anthropogenic pollution monitoring in Mexico’s medium size cities

In this work, we investigate the correlation between some magnetic parameters and the level of contamination by heavy metals in urban soils from Morelia city, western Mexico. The magnetic study was carried out on 98 urban soils samples belonging to distinct land uses. Most of analyzed samples contain ferrimagnetic minerals as the responsible for magnetization, most probably corresponding to the titanomagnetites/ titanomaghemites solid solutions. This is inferred from the susceptibility vs. temperature measurements and the isothermal remanent magnetization (IRM) experiments. These measurements also indicate that most of samples are almost completely saturated before 300 mT. Additionally, the S_-200 values (S_-200 = IRM_-200/ SIRM, where IRM_-200= Back-field of 200 mT after magnetic saturation) are between 0.7 and 1.0, characteristic of low coercivity magnetic minerals. The averaged saturation isothermal remanent magnetization (SIRM) curves can be used as an indicator of pollution level, as these curves show different saturation values according to the level of contamination by heavy metals: Cu, Ni, Cr and Sr. These associations of (titano)magnetite with heavy metals were observed by Scanning Electron Microscope revealing some complex aggregates rather than commonly detected spherules.     

徐州市区土壤重金属空间分布研究

本文以徐州市泉山、云龙、鼓楼、九里4个城区的表层土壤为研究对象,利用BP神经网络模型结合GIS技术对徐州市表层土壤重金属空间分布进行了研究.结果表明:BP神经网络模型能够智能地学习各个样点的空间位置与该点各重金属含量之间的映射关系和预先设计好的分类评价模式,并能够对各个空间插值点处的重金属含量和污染状况进行预测和评价....     

土壤重金属的空间插值方法比较分析——以阳谷县为例

空间插值通过采集少量的数据点,利用其中的空间关联,推求该区域内其他位置的属性值。本文以山东省阳谷县土壤重金属Cu采样数据为例进行空间探索性分析,分别采用了反距离权重插值和普通克里金插值两种方法进行空间分布插值模拟。结果表明,针对研究区采样数据,反距离权重插值方法生成的模型平均误差为1.97 mg/kg,总体精度为92%;普通克里金插值模型的平均误差为1.91 mg/kg,总体精度为92.35%,普通克里金插值方法更优。     

A VLBI Delay Model for Radio Sources at a Finite Distance

A relativistic delay model for Earth-based very long baseline interferometry (VLBI) observation of sources at finite distances is derived. The model directly provides the VLBI delay in the scale of terrestrial time. The effect of the curved wave front is represented by using a pseudo source vector K = (R ₁ + R ₂)/(R ₁ + R ₂), and the variation of the baseline vector due to the difference of arrival time is taken into account up to the second-order by using Halley’s method. The precision of the new VLBI delay model is 1 ps for all radio sources above 100 km altitude from the Earth’s surface in Earth-based VLBI observation. Simple correction terms (parallax effect) are obtained, which can also adopt the consensus model (e.g. International Earth Rotation and Reference Frames Service conventions) to finite-distance radio source at R > 10 pc with the same precision. The new model may enable estimation of distance to the radio source directly with VLBI delay data.     

Supervised change detection in VHR images using contextual information and support vector machines

In this paper we study an effective solution to deal with supervised change detection in very high geometrical resolution (VHR) images. High within-class variance as well as low between-class variance that characterize this kind of imagery make the detection and classification of ground cover transitions a difficult task. In order to achieve high detection accuracy, we propose the inclusion of spatial and contextual information issued from local textural statistics and mathematical morphology. To perform change detection, two architectures, initially developed for medium resolution images, are adapted for VHR: Direct Multi-date Classification and Difference Image Analysis. To cope with the high intra-class variability, we adopted a nonlinear classifier: the Support Vector Machines (SVM). The proposed approaches are successfully evaluated on two series of pansharpened QuickBird images.     

水合铁离子及铁络合物吸收系数光谱(400-900 nm)测量

测量铁化合物溶解物的吸收光谱曲线是水中铁离子含量遥感反演的关键。采用自主设计的水体透射光测量装置,利用ASD光谱仪测量相同厚度不同浓度铁离子溶液的透射光辐亮度,然后运用比值法计算出水中3种铁化合物(硫酸铁、氯化铁和铁氰化钾)的消光系数和吸收系数,最终得到400—900 nm波长范围内3种铁离子吸收系数光谱。该方法可以较好地消除实验装置和水中悬浮物的影响。结果表明,水中3种铁离子均在紫蓝光波段吸收作用较大,绿光次之,逐渐减少至红光波段后,吸收系数变化很小呈平缓直线。测量结果可作为水体铁离子浓度遥感反演模型所需的基础参数。     

汶川Ms8.0地震重灾区次生地质灾害遥感精细解译

汶川Ms8.0地震诱发了大量次生地质灾害, 主要包括崩塌、滑坡与泥石流等。在获取到全面的研究区震后多源遥感影像后, 采用人工目视解译的方法, 对14个重灾县(市)进行次生地质灾害解译工作, 共解译出约46560处崩塌、滑坡、泥石流等地震次生地质灾害, 灾害总面积约687.1km2。基于GIS平台获取到它们的位置、平面面积等基本信息, 绘制了研究区的地震次生地质灾害分布图与点密度图。结果表明, 本次地震次生地质灾害与龙门山3条主断裂有较好的对应关系, 且主要分布在4个集中区域。最后, 分析了地震次生地质灾害     

氨基泡塑的合成及其应用于富集地质样品中的痕量金

采用泡塑(PUF)富集,AAS或ICP-OES测定地质样品中痕量金是常用的分析方法。与活性炭相比,PUF的选择性好,但吸附容量偏低,可将泡塑负载不同的萃取剂或修饰不同的官能团提高吸附容量。本文将聚醚型泡塑经盐酸水解制备成氨基泡塑(PUF-NH_2)。红外光谱和扫描电镜表征显示,PUF-NH_2峰形发生了明显红移(3376.5 cm-1),其中的氨基数量显著增加,另外PUF-NH_2的高分子出现明显断裂,发生水解后裸露出的氨基具有还原性,在吸附金的过程中易与金离子在PUF-NH_2表面发生氧化还原反应,形成金纳米颗粒。改性后的PUF-NH_2吸附容量达到96 mg/g,与PUF相比提高了8倍。将PUF-NH_2应用于富集地质样品中的金,经炭化灼烧、50%王水提取后用ICP-OES测定,金的加标回收率在95.0%~105.0%之间,检出限为0.15μg/g。实验证明用PUF-NH_2处理样品提高了富集倍数和分析灵敏度,有利于低品位矿石的分析。