Application of surface-wave tomography to mineral exploration: a case study from Siilinjärvi,Finland     

Federico Da Col  Myrto Papadopoulou  Emilia Koivisto  Łukasz Sito  Mikko Savolainen  Laura Valentina Socco 《Geophysical Prospecting》2020,68(1):254-269

In order to assess the feasibility and validity of surface-wave tomography as a tool for mineral exploration, we present an active seismic three-dimensional case study from the Siilinjärvi mine in Eastern Finland. The aim of the survey is to identify the formation carrying the mineralization in an area south of the main pit, which will be mined in the future. Before acquiring the data, we performed an accurate survey design to maximize data coverage and minimize the time for deployment and recollection of the equipment. We extract path-averaged Rayleigh-wave phase-velocity dispersion curves by means of a two-station method. We invert them using a computationally efficient tomographic code which does not require the computation of phase-velocity maps and inverts directly for one-dimensional S-wave velocity models. The retrieved velocities are in good agreement with the data from a borehole in the vicinity, and the pseudo three–dimensional S-wave velocity volume allows us to identify the geological contact between the formation hosting most of the mineralization and the surrounding rock. We conclude that the proposed method is a valid tool, given the small amount of equipment used and the acceptable amount of time required to process the data.  相似文献   

Responding to Global Warming: Mitigation Policies and Actions of Stakeholders in China’s Tourism Industry     

FENG Ling  CHEN Da  GAO Shan  WANG Yongzhi  TANG Chengcai 《资源与生态学报(英文版)》2019,10(1):94-103

China’s tourism industry has witnessed rapid progress in recent years, and is now an important part of global tourism in dealing with climate change. Within a framework of Pressure-State-Response (PSR), this paper focuses on the emission reduction pressure, carbon emission status, and responses of stakeholders in China’s tourism industry. Findings include: 1) The central government’s strategy and rapid growth of the industry scale exert rising pressure on China’s tourism to reduce carbon emissions. 2) Carbon emissions of China's tourism account for 13%-14.6% of global tourism, and about 3% of China’s emissions overall. Chinese tourists’ per capita carbon emission is lower than half of the global level. 3) The Chinese government attaches great importance to energy-saving and carbon emission reduction. In the tourism industry, documents, standards and other regulative measures have been issued to ensure that business practitioners set up green operational and managerial systems. In the field of tourism transportation, China's high-speed rail, new energy vehicles, and urban shared bicycles, have developed very rapidly in recent years, and they have effectively reduced the carbon emissions in traveling. Furthermore, this paper finds that Chinese tourists already have awareness and willingness for low-carbon tourism.  相似文献   

浙江临安4.2级地震特征及烈度调查     

马志江  马起杨  侯林锋  石树中  杨福平 《震灾防御技术》2018,13(3):689-696

2017年4月12日，浙江省杭州市临安市发生4.2级地震，地震震中附近的潜川镇、河桥镇震感强烈，於潜镇、太阳镇、湍口镇等震感较为明显。在对震区地质构造、震源机制解资料分析的基础上，开展了烈度调查，并绘制了地震烈度图。本次地震震中烈度为Ⅴ度，面积22.6km2，烈度圈长轴方向北东向，与马金-乌镇断层走向一致。  相似文献   

MARC: a robust method for multiple-aspect trajectory classification via space,time, and semantic embeddings     

Lucas May Petry  Camila Leite Da Silva  Andrea Esuli  Chiara Renso  Vania Bogorny 《International journal of geographical information science》2020,34(7):1428-1450

ABSTRACT

The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic enrichment of mobility data in several contexts in the last years has led to the generation of large volumes of trajectory data. In contrast to GPS-based trajectories, LBSN and context-aware trajectories are more complex data, having several semantic textual dimensions besides space and time, which may reveal interesting mobility patterns. For instance, people may visit different places or perform different activities depending on the weather conditions. These new semantically rich data, known as multiple-aspect trajectories, pose new challenges in trajectory classification, which is the problem that we address in this paper. Existing methods for trajectory classification cannot deal with the complexity of heterogeneous data dimensions or the sequential aspect that characterizes movement. In this paper we propose MARC, an approach based on attribute embedding and Recurrent Neural Networks (RNNs) for classifying multiple-aspect trajectories, that tackles all trajectory properties: space, time, semantics, and sequence. We highlight that MARC exhibits good performance especially when trajectories are described by several textual/categorical attributes. Experiments performed over four publicly available datasets considering the Trajectory-User Linking (TUL) problem show that MARC outperformed all competitors, with respect to accuracy, precision, recall, and F1-score.  相似文献   

The information system of the French Peatland Observation Service: Service National d'Observation Tourbières – A valuable tool to assess the impact of global changes on the hydrology and biogeochemistry of temperate peatlands through long term monitoring     

Sébastien Gogo  Jean-Baptiste Paroissien  Fatima Laggoun-Défarge  Jean-Marc Antoine  Léonard Bernard-Jannin  Guillaume Bertrand  Philippe Binet  Stéphane Binet  Guillaume Bouger  Yohann Brossard  Thierry Camboulive  Jean-Pierre Caudal  Stéphane Chevrier  Geneviève Chiapiuso  Benoît D'Angelo  Pilar Durantez  Chris Flechard  André-Jean Francez  Didier Galop  Laure Gandois  Daniel Gilbert  Christophe Guimbaud  Louis Hinault  Adrien Jacotot  Franck Le Moing  Emilie Lerigoleur  Gaël Le Roux  Fabien Leroy  Alexandre Lhosmot  Qian Li  Elodie Machado Da Silva  Jean-Sébastien Moquet  Juanita Mora-Gomez  Laurent Perdereau  Thomas Rosset  Marie-Laure Toussaint 《水文研究》2021,35(6):e14244

Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).  相似文献   

Dim and Small Target Detection Based on Characteristic Spectrum     

Da Huang  Shucai Huang 《Journal of the Indian Society of Remote Sensing》2018,46(11):1915-1923

Dim and small target detection is one of the most challenging issues based on space-based detector. Original space-based detector only uses infrared bands, and the target information is limited in one-band image, so that detection error rate is high. In order to increase the target information, we suppose spectral imaging technology can be applied to the space-based detection system. Use bands of stronger radiation of targets than that of background as detection bands theoretically; the detection bands also can be called as the characteristic bands of targets. On these bases, the paper proposes methods of fuzzy fusion and fusion segmentation to achieve the target detection. Fusion is a combination of images from the characteristic bands, which can eliminate background, restrain noise, and enhance the target. Threshold segmentation and fuzzy algorithm assisted fusion algorithm to complete the final detection. In the simulation experiment, missile plume is considered as the detection target, atmosphere, cloud and jet plume is considered as the detection background, and the advantages of the characteristic spectrum detection and the proposed algorithm are verified from SNR, SCR, ROC curve, and time.  相似文献   

基于厄米特插值和时间序列模型在沉降监测中的应用     

庞达 《测绘与空间地理信息》2018,(3):171-174,177

针对沉降监测中用时间序列分析数据样本较少、处理精度不高的问题,本文引入厄米特插值,提出用厄米特插值法对数据进行插值,增加数据样本,然后用时间序列对数据进行建模分析。为了验证用厄米特插值后的数据建模精度,将上述理论运用到工程实例中,用时间序列分析分别对厄米特插值处理后的数据和原始数据进行建模分析,得到用厄米特插值处理后的数据进行时间序列分析建模的平均绝对误差比原始数据建模的平均绝对误差高0.083 8 mm。说明厄米特插值和时间序列组合模型精度比较高。  相似文献   

Heavy metals status,transport mechanisms,sources, and factors affecting their mobility in Chinese agricultural soils   总被引：3，自引：0，他引：3  

Feng Jing  Xiaomin Chen  Zhijiang Yang  Bilin Guo 《Environmental Earth Sciences》2018,77(3):104

Heavy metals are the focus of much interest because of their environmental persistence, toxicity, and mobility in soils. Some of the Chinese soils have been contaminated with heavy metals due to expansion of mining industries, pesticides usage, and other anthropological activities, which made the agro-ecosystem to become contaminated. The objective of this review is to illuminate the current pollution status, sources of heavy metals, transport mechanisms, and the factors affecting their mobility in Chinese soils. The additional studies in the future will present on source identification and the heavy metal transport characteristics in soil.  相似文献   

闽赣交界武夷山南段“桃溪穹隆”形变特征及构造演化探讨          下载免费PDF全文

黄昌旗  张开毕  石建基  张达  林子华  程乔  赵举兴 《华东地质》2018,(4):252-260

"桃溪穹隆"由内核、中间层和盖层组成,发育岩石流变,韧性、韧脆性和脆性变形(断裂)。文章以"桃溪穹隆"内核、中间层和盖层为对象,通过研究其形变特征、运动形式及相互关系,探讨穹隆上隆的运动方式,结合沉积事件、岩浆活动和构造运动,阐述穹隆的形成机制和构造演化特征。"桃溪穹隆"于加里东期(志留纪末)隆升,华力西期—印支期(晚二叠世—中三叠世)大规模上隆,燕山期及后期继承性活动,主隆升期(华力西期—印支期)为逆时针旋转上隆。穹隆长期隆升是该区古元古代结晶基底出露的主要原因。  相似文献   

Development of the emerging electromagnetic methods for deep earth exploration     

Qingyun Di  Guoqiang Xue  Zhongxing Wang  Zhiguo An  Changmin Fu  Ruo Wang  Da Lei  Fayemi Olalekan 《《地质学报》英文版》2018,92(Z1):313-317

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