首页 > 最新文献

Mathematical Geosciences最新文献

英文 中文
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network 利用生成对抗网络提高地震图像分辨率和降低随机噪声
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-10-08 DOI: 10.1007/s11004-023-10103-8
Lei Lin, Zhi Zhong, Chuyang Cai, Chenglong Li, Heng Zhang
{"title":"SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network","authors":"Lei Lin, Zhi Zhong, Chuyang Cai, Chenglong Li, Heng Zhang","doi":"10.1007/s11004-023-10103-8","DOIUrl":"https://doi.org/10.1007/s11004-023-10103-8","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135197737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns 光谱滤波地球化学信号的盲源分离识别多深度矿化富集模式
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-10-06 DOI: 10.1007/s11004-023-10101-w
Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Shahram Hosseini, Yannick Deville, Emmanuel John M. Carranza
{"title":"Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns","authors":"Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Shahram Hosseini, Yannick Deville, Emmanuel John M. Carranza","doi":"10.1007/s11004-023-10101-w","DOIUrl":"https://doi.org/10.1007/s11004-023-10101-w","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification 减少错误岩性标签对岩石识别深度神经网络训练的影响
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-23 DOI: 10.1007/s11004-023-10094-6
Xiaoyue Feng, Hongmei Luo, Changjiang Wang, Hanming Gu
{"title":"Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification","authors":"Xiaoyue Feng, Hongmei Luo, Changjiang Wang, Hanming Gu","doi":"10.1007/s11004-023-10094-6","DOIUrl":"https://doi.org/10.1007/s11004-023-10094-6","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135959878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content 长期数据序列的鲁棒统计处理估算土壤含水量
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-19 DOI: 10.1007/s11004-023-10100-x
Mirko Anello, Marco Bittelli, Massimiliano Bordoni, Fabrizio Laurini, Claudia Meisina, Marco Riani, Roberto Valentino
Abstract The research presented in this paper aims at providing a statistical model that is capable of estimating soil water content based on weather data. The model was tested using a long-time series of field experimental data from continuous monitoring at a test site in Oltrepò Pavese (northern Italy). An innovative statistical function was developed in order to predict the evolution of soil–water content from precipitation and air temperature. The data were analysed in a framework of robust statistics by using a combination of robust parametric and non-parametric models. Specifically, a statistical model, which includes the typical seasonal trend of field data, has been set up. The proposed model showed that relevant features present in the field of experimental data can be obtained and correctly described for predictive purposes.
摘要:本文旨在建立一种基于气象数据估算土壤含水量的统计模型。利用在Oltrepò Pavese(意大利北部)一个试验点连续监测的一系列长期现场实验数据对该模型进行了测试。为了预测降水和气温对土壤含水量的影响,提出了一种新颖的统计函数。数据通过使用鲁棒参数和非参数模型的组合在鲁棒统计的框架中进行分析。具体而言,建立了一个包含典型野外数据季节趋势的统计模型。所提出的模型表明,可以获得实验数据领域的相关特征,并正确描述其用于预测目的。
{"title":"Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content","authors":"Mirko Anello, Marco Bittelli, Massimiliano Bordoni, Fabrizio Laurini, Claudia Meisina, Marco Riani, Roberto Valentino","doi":"10.1007/s11004-023-10100-x","DOIUrl":"https://doi.org/10.1007/s11004-023-10100-x","url":null,"abstract":"Abstract The research presented in this paper aims at providing a statistical model that is capable of estimating soil water content based on weather data. The model was tested using a long-time series of field experimental data from continuous monitoring at a test site in Oltrepò Pavese (northern Italy). An innovative statistical function was developed in order to predict the evolution of soil–water content from precipitation and air temperature. The data were analysed in a framework of robust statistics by using a combination of robust parametric and non-parametric models. Specifically, a statistical model, which includes the typical seasonal trend of field data, has been set up. The proposed model showed that relevant features present in the field of experimental data can be obtained and correctly described for predictive purposes.","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135060660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quaternions for Rotations in Paleomagnetism 古地磁中旋转的四元数
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-13 DOI: 10.1007/s11004-023-10098-2
Koji Fukuma
{"title":"Quaternions for Rotations in Paleomagnetism","authors":"Koji Fukuma","doi":"10.1007/s11004-023-10098-2","DOIUrl":"https://doi.org/10.1007/s11004-023-10098-2","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Nonlinear Dynamical Model for Monthly Runoff Forecasting in Situations of Small Samples 小样本情况下月径流预报的非线性动力学模型
3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-11 DOI: 10.1007/s11004-023-10099-1
Nanjun Liu, Longxia Qian, Denghua Yan, Wei Hu, Mei Hong
{"title":"A Nonlinear Dynamical Model for Monthly Runoff Forecasting in Situations of Small Samples","authors":"Nanjun Liu, Longxia Qian, Denghua Yan, Wei Hu, Mei Hong","doi":"10.1007/s11004-023-10099-1","DOIUrl":"https://doi.org/10.1007/s11004-023-10099-1","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135980544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index 光滑超参数增强平稳协方差函数及结构相似指数改进高斯过程回归
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-06 DOI: 10.1007/s11004-023-10095-5
A. Chlingaryan, Raymond Leung, A. Melkumyan
{"title":"Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index","authors":"A. Chlingaryan, Raymond Leung, A. Melkumyan","doi":"10.1007/s11004-023-10095-5","DOIUrl":"https://doi.org/10.1007/s11004-023-10095-5","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"594 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85341449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stochastic Geomodeling of Karst Morphology by Dynamic Graph Dissolution 基于动态图溶蚀的岩溶地貌随机模拟
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-01 DOI: 10.1007/s11004-023-10088-4
Rayan Kanfar, T. Mukerji
{"title":"Stochastic Geomodeling of Karst Morphology by Dynamic Graph Dissolution","authors":"Rayan Kanfar, T. Mukerji","doi":"10.1007/s11004-023-10088-4","DOIUrl":"https://doi.org/10.1007/s11004-023-10088-4","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"6 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74620986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-19 新型冠状病毒异常发病值预警系统的随机模型
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-09-01 DOI: 10.1007/s11004-023-10096-4
A. F. Duarte, A. Soares, M. Pereira, A. Peralta-Santos, Pedro Pinto Leite, Leonardo Azevedo
{"title":"A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-19","authors":"A. F. Duarte, A. Soares, M. Pereira, A. Peralta-Santos, Pedro Pinto Leite, Leonardo Azevedo","doi":"10.1007/s11004-023-10096-4","DOIUrl":"https://doi.org/10.1007/s11004-023-10096-4","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"32 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78590543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$hbox {CO}_2$$ Sequestration in Saline Aquifers 含盐含水层$$hbox {CO}_2$$固存的热-水-化学多相流模型数值模拟
IF 2.6 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2023-08-31 DOI: 10.1007/s11004-023-10093-7
E. Ahusborde, B. Amaziane, F. Croccolo, Nicolas Pillardou
{"title":"Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$hbox {CO}_2$$ Sequestration in Saline Aquifers","authors":"E. Ahusborde, B. Amaziane, F. Croccolo, Nicolas Pillardou","doi":"10.1007/s11004-023-10093-7","DOIUrl":"https://doi.org/10.1007/s11004-023-10093-7","url":null,"abstract":"","PeriodicalId":51117,"journal":{"name":"Mathematical Geosciences","volume":"6 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76430280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Mathematical Geosciences
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1