Comput. Geosci.最新文献

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3D FDTD anisotropic and dispersive modeling for GPR using rotated staggered grid method 基于旋转交错网格法的探地雷达三维FDTD各向异性和色散建模
Comput. Geosci. Pub Date : 2020-03-01 DOI: 10.1016/j.cageo.2019.104397
Yongxu Lu, S. Peng, X. Cui, Dong Li, Kang Wang, Zhenguo Xing
{"title":"3D FDTD anisotropic and dispersive modeling for GPR using rotated staggered grid method","authors":"Yongxu Lu, S. Peng, X. Cui, Dong Li, Kang Wang, Zhenguo Xing","doi":"10.1016/j.cageo.2019.104397","DOIUrl":"https://doi.org/10.1016/j.cageo.2019.104397","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"32 1","pages":"104397"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77942062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation 使用不连续伽辽金离散化的流体形态动力学二维建模
Comput. Geosci. Pub Date : 2020-01-07 DOI: 10.31223/osf.io/tpqvy
M. Clare, J. Percival, A. Angeloudis, C. Cotter, M. Piggott
{"title":"Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation","authors":"M. Clare, J. Percival, A. Angeloudis, C. Cotter, M. Piggott","doi":"10.31223/osf.io/tpqvy","DOIUrl":"https://doi.org/10.31223/osf.io/tpqvy","url":null,"abstract":"\u0000 <p>The development of morphodynamic models to simulate sediment transport accurately is a challenging and highly complex process given the non-linear and coupled nature of the sediment transport problem. We implement a new depth-averaged coupled hydrodynamic and sediment transport model within the coastal ocean model Thetis, built using the code generating framework Firedrake which facilitates code flexibility and optimisation benefits. To the best of our knowledge, this represents the first full morphodynamic model using a discontinuous Galerkin based finite element discretisation, to include both bedload and suspended sediment transport. We apply our model to problems with non-cohesive sediment and account for effects of gravity and helical flow by adding slope gradient terms and parametrising secondary currents. For validation purposes and to demonstrate model capability, we present results from the common test cases of a migrating trench and a meandering channel comparing against experimental data and the widely used model Telemac-Mascaret.</p><p>There is a high degree of uncertainty associated with morphodynamic models, in part due to incomplete knowledge of various physical, empirical and numerical closure related parameters in both the hydrodynamic and morphodynamic solvers. We therefore also present examples of how an adjoint model can be used to calibrate or invert for the values of these parameters from either experimental results or real-world erosion profiles.</p>\u0000","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"49 1","pages":"104658"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73841235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks 用卷积神经网络反演一维频域和时域电磁数据
Comput. Geosci. Pub Date : 2019-12-02 DOI: 10.1016/j.cageo.2020.104681
V. Puzyrev, A. Swidinsky
{"title":"Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks","authors":"V. Puzyrev, A. Swidinsky","doi":"10.1016/j.cageo.2020.104681","DOIUrl":"https://doi.org/10.1016/j.cageo.2020.104681","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"55 1","pages":"104681"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90683576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 30
GeoBeam: A distributed computing framework for spatial data GeoBeam:用于空间数据的分布式计算框架
Comput. Geosci. Pub Date : 2019-10-01 DOI: 10.1016/J.CAGEO.2019.06.003
Zhenwen He, Gang Liu, Xiaogang Ma, Qiyu Chen
{"title":"GeoBeam: A distributed computing framework for spatial data","authors":"Zhenwen He, Gang Liu, Xiaogang Ma, Qiyu Chen","doi":"10.1016/J.CAGEO.2019.06.003","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.06.003","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"135 1","pages":"15-22"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82677400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Mineral grains recognition using computer vision and machine learning 利用计算机视觉和机器学习识别矿物颗粒
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.009
Julien Maître, K. Bouchard, L. Bédard
{"title":"Mineral grains recognition using computer vision and machine learning","authors":"Julien Maître, K. Bouchard, L. Bédard","doi":"10.1016/J.CAGEO.2019.05.009","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.009","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"33 1","pages":"84-93"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77858069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 86
A multiscale morphological algorithm for improvements to canopy height models 冠层高度模型的多尺度形态学改进算法
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.012
Li Liu, Samsung Lim, Xuesong Shen, M. Yebra
{"title":"A multiscale morphological algorithm for improvements to canopy height models","authors":"Li Liu, Samsung Lim, Xuesong Shen, M. Yebra","doi":"10.1016/J.CAGEO.2019.05.012","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.012","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"15 1","pages":"20-31"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79114165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
One-way propagators based on matrix multiplication in arbitrarily lateral varying media with GPU implementation 基于任意横向变化介质中矩阵乘法的单向传播器与GPU实现
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.010
Jiachun You, Zhege Liu, Jianli Liu, Canping Li
{"title":"One-way propagators based on matrix multiplication in arbitrarily lateral varying media with GPU implementation","authors":"Jiachun You, Zhege Liu, Jianli Liu, Canping Li","doi":"10.1016/J.CAGEO.2019.05.010","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.010","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"15 1","pages":"32-42"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79634901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Assessing dual continuum method for multicomponent reactive transport 评价多组分反应输运的双连续统方法
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.007
A. Iraola, P. Trinchero, S. Karra, J. Molinero
{"title":"Assessing dual continuum method for multicomponent reactive transport","authors":"A. Iraola, P. Trinchero, S. Karra, J. Molinero","doi":"10.1016/J.CAGEO.2019.05.007","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.007","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"167 1","pages":"11-19"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75977340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
A novel method for extracting information on pores from cast thin-section images 一种从铸型薄切片图像中提取孔隙信息的新方法
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.003
Shaoqun Dong, Lianbo Zeng, Chaoshui Xu, P. Dowd, Zhiyong Gao, Zhe Mao, Ai Wang
{"title":"A novel method for extracting information on pores from cast thin-section images","authors":"Shaoqun Dong, Lianbo Zeng, Chaoshui Xu, P. Dowd, Zhiyong Gao, Zhe Mao, Ai Wang","doi":"10.1016/J.CAGEO.2019.05.003","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.003","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"24 1","pages":"69-83"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73787145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 28
Integration of auto-encoder network with density-based spatial clustering for geochemical anomaly detection for mineral exploration 自编码器网络与基于密度的空间聚类相结合的找矿化探异常检测
Comput. Geosci. Pub Date : 2019-09-01 DOI: 10.1016/J.CAGEO.2019.05.011
Shuai Zhang, K. Xiao, E. Carranza, Fan Yang, Zhicheng Zhao
{"title":"Integration of auto-encoder network with density-based spatial clustering for geochemical anomaly detection for mineral exploration","authors":"Shuai Zhang, K. Xiao, E. Carranza, Fan Yang, Zhicheng Zhao","doi":"10.1016/J.CAGEO.2019.05.011","DOIUrl":"https://doi.org/10.1016/J.CAGEO.2019.05.011","url":null,"abstract":"","PeriodicalId":10649,"journal":{"name":"Comput. Geosci.","volume":"59 1","pages":"43-56"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81501676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
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