Estimation of aerosol acidity at a suburban site of Nanjing using machine learning method

Journal of Atmospheric Chemistry - Aerosol acidity is found to exert negative effects on ecosystem diversity and architectural appearance. Current analytical technology is unable to measure in-situ...     

1992-2014年河北省流动重力资料整理

系统整理河北省1992-2014年流动重力资料,利用LGADJ数据处理软件,对每期重力数据进行单期平差、多期整体平差计算,改正历史遗留问题,利用差分结果绘制145幅流动重力等值线差分图,通过具体异常点位及重力变化分析,得出：①地震前重力场变化强度与震级大小存在相关性;②流动重力观测资料地震前具有较为明显的前兆异常反应;③地震均发生在重力变化的“0”等值线附近地区。     

利用精定位小震资料反演1933年叠溪M7?地震震源断层面参数

1933年叠溪发生7?级强震,关于此次地震的发震构造存在较大争议,有些学者认为NW向松坪沟断裂是此次地震的发震构造,另有学者认为近NS向岷江断裂南段才是这次地震的发震构造。本文根据成丛小震发生在大震断层面附近的原则,利用1990-2014年精定位小震目录,根据万永革等（2008）提出的震源断层面拟合方法,反演了叠溪地震震源断层走向、倾角和位置。断层走向和倾角分别是172.8°和82.9°,倾向偏向西。本文结果更支持岷江断裂南段为叠溪地震发震构造这一结论。     

基于手机位置数据的四川九寨沟7.0级地震人流分析

2017年8月8日四川九寨沟7.0级震后,浙江省地震局利用大数据采集了1031.99万条手机位置记录和4.46万个空间格网位置。本文结合24hr连续定位的手机数据,使用手机位置数据分别对九寨沟灾区人口从时间和地理维度上进行了量化分析,估计了多维人口分布的偏差,同时,探讨了剔除微观误差数据用户来估算灾区通讯基站退服分布的方法。该项工作为震后快速获取灾区人口实时动态分布提供了有效途径,同时也为地震灾害评估提供了较准确的依据。     

2017年8月8日九寨沟MS7.0地震序列分析

2017年8月8日四川九寨沟发生M_S7.0地震,该地震发生在巴颜喀喇块体的东北边界,震中区域构造条件复杂,是巴颜喀喇块体北侧左旋走滑环境向东侧逆冲挤压环境过渡的位置,附近地区历史强震较多。九寨沟地震是一次主-余型地震,余震活动水平较弱,主震发生后短时间内M_L≥4.0余震的“等待时间”存在异常,震后较长时间余震活动恢复到正常状态,序列h值、余震视应力等符合主-余型序列特征。序列b值为0.84,G-R关系推测序列最大余震的震级约为M_L5.4（M_S5.0）,8月9日发生的M_S4.8地震是目前该序列的最强余震。通过与1970年以来附近地区7级左右地震序列的对比认为,九寨沟地震与1976年松潘-平武2次7.2级地震序列在余震空间位置、发震构造和震源机制等方面存在较大差异,因此,不具备发育为震群型序列的条件。九寨沟地震主震视应力为0.36～0.38MPa,属于应力下调模型,序列余震的平均视应力水平接近龙门山断裂带附近中小地震的平均背景水平。     

Seismic data reconstruction using a sparsity-promoting apex shifted hyperbolic Radon-curvelet transform

Apex shift hyperbolic Radon transform (ASHRT) is an extension of hyperbolic Radon transform (HRT). We have developed a novel sparsity-promoting framework for ASHRT by employing curvelet transform (CT) in the sparse inversion. RT-based seismic data processing can be considered as an optimization problem and a mixed norms inversion, therefore, objective function with CT can promote the sparsity of the transformed domain, which makes the sparse inversion more efficient. Compared with the conventional sparse inversion of ASHRT, the proposed method weights the sparse penalization, which indicates a sparser solution of ASHRT. We use synthetic and field data examples to demonstrate the performance of ASHRT. Compared to the conventional solution, the ours may lead to more accurately reconstructed results and have a better noise immunity.     

Spatiotemporal variations of suspended sediment transport in the upstream and midstream of the Yarlung Tsangpo River (the upper Brahmaputra), China

The Yarlung Tsangpo River, which flows from west to east across the southern part of the Tibetan Plateau, is the longest river on the plateau and an important center for human habitation in Tibet. Suspended sediment in the river can be used as an important proxy for evaluating regional soil erosion and ecological and environmental conditions. However, sediment transport in the river is rarely reported due to data scarcity. Results from this study based on a daily dataset of 3 years from four main stream gauging stations confirmed the existence of great spatiotemporal variability in suspended sediment transport in the Yarlung Tsangpo River, under interactions of monsoon climate and topographical variability. Temporally, sediment transport or deposition mainly occurred during the summer months from July to September, accounting for 79% to 93% of annual gross sediment load. This coincided with the rainy season from June to August that accounted for 51% to 80% of annual gross precipitation and the flood period from July to September that accounted for approximately 60% of annual gross discharge. The highest specific sediment yield of 177.6 t/km²/yr occurred in the upper midstream with the highest erosion intensity. The lower midstream was dominated by deposition, trapping approximately 40% of total sediment input from its upstream area. Sediment load transported to the midstream terminus was 10.43 Mt/yr with a basin average specific sediment yield of 54 t/km²/yr. Comparison with other plateau‐originated rivers like the upper Yellow River, the upper Yangtze River, the upper Indus River, and the Mekong River indicated that sediment contribution from the studied area was very low. The results provided fundamental information for future studies on soil and water conservation and for the river basin management. Copyright © 2017 John Wiley & Sons, Ltd.     

安徽寿县丁家孤堆遗址自然变形遗迹的发现及特征初探

古遗址、古墓地发掘过程中自然变形现象的识别研究是反演或充实最新构造变形历史记录的重要工作。地震部门会同文物考古部门对安徽寿县丁家孤堆遗址文化层进行宏、微观研究,发现了自然变形痕迹,其主要表现为文化层被砂脉穿切,初步研究显示为地震液化遗迹,发生时代处于龙山晚期至西周时期。研究有助于推动中国东部文化层中地震遗迹的识别。     

云南维西大宝山铜矿地质特征及矿石中Ag与Cu关系探讨

云南维西大宝山铜矿区位于青藏高原东南缘,哀牢山-金沙江构造带西北部雪龙山成矿带中,是典型的中低温热液矿床。矿区主要包括望香台及滑石板矿段,根据矿床、矿体特征及详尽的镜下观察,将矿石类型划分为氧化矿、硫化矿及混合矿。氧化矿主要包括孔雀石及蓝铜矿,多分布在望香台矿段中浅部,是辉铜矿次生氧化富集作用的结果,出露形式多以混合矿产出;硫化矿主要包括辉铜矿及黄铜矿,且独立组成不同的矿物组合类型,分别为望香台矿段、滑石板矿段的主要矿石矿物。不同的矿石组合类型所含矿物种类、矿石结构构造不尽相同。通过对不同样品进行化学分析测试,发现在硫化矿辉铜矿等矿物组合中,Cu品位越高,相应Ag品位越高,存在一定的线性关系;而在硫化矿黄铜矿矿体中,Ag含量与Cu品位无相应关系;混合矿(辉铜矿、孔雀石及蓝铜矿)中此类关系更加显著。此外,辉铜矿、孔雀石、蓝铜矿单矿物矿石及混合矿矿石中含有硫砷铜银矿、深红银矿、雌黄及雄黄等伴生矿物,而黄铜矿中矿物种类较为单一。综合矿区地质特征、矿体分布特征、矿物组合类型认为,矿区中辉铜矿、孔雀石、蓝铜矿等组合类型为含银矿物的主要载体。     

GeoPW: Laying Blocks for the Geospatial Processing Web

Recent advances in Web‐related technologies have significantly promoted the wide sharing and integrated analysis of distributed geospatial data. Geospatial applications often involve diverse sources of data and complex geoprocessing functions. Existing Web‐based GIS focuses more on access to distributed geospatial data. In scientific problem solving, the ability to carry out geospatial analysis is essential to geoscientific discovery. This article presents the design and implementation of GeoPW, a set of services providing geoprocessing functions over the Web. The concept of the Geospatial Processing Web is discussed to address the geoprocessing demands in the emerging information infrastructure, and the role of GeoPW in establishing the Geospatial Processing Web is identified. The services in GeoPW are implemented by developing middleware that wraps legacy GIS analysis components to provide a large number of geoprocessing utilities over the Web. These services are open and accessible to the public, and they support integrated geoprocessing on the Web.