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Semantic Segmentation of the Intertidal Zone of an Estuary—In Search of the Best Solution

Journal of Geoscience and Environment Protection 2024年第7期12卷 1-13页

作者： Maria da Conceição Proença Ricardo Nogueira Mendes Ricardo Melo marine and Environmental sciences Centre (MARE-ULisboa) & ArNet Lisbon Portugal department of Physics Faculty of Sciences University of Lisbon Lisbon Portugal department of Animal Biology Faculty of Sciences University of Lisbon Lisbon Portugal department of Plant Biology Faculty of Sciences University of Lisbon Lisbon Portugal

An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), allowed to distinguish most of the classes of interest present in the intertidal zone of the Sado estuary. We explored the possibilities of thematic classification in the powerful and complex software ArcGIS Pro;we presented the methodology used in a detailed way that allows others with minimal knowledge of GIS to reproduce the classification process without having to decipher the specifics of the software. The classification implemented used ground truth from four classes related to the macro-occupations of the area. In a first phase we explore the standard algorithms with object-based capabilities, like K-Nearest Neighbor, Random Trees Forest and Support Vector Machine, and in a second phase we proceed to test three deep learning classifiers that provide semantic segmentation: a U-Net configuration, a Pyramid Scene Parsing Network and DeepLabV3. The resulting classifications were quantitatively evaluated with a set of 500 control points in a test area of 37,500 × 12,500 pixels, using confusion matrices and resorting to Cohen’s kappa statistic and the concept of global accuracy, achieving a Kappa in the range [0.72, 0.81] and a global accuracy between 88.9% and 92.9%;the option U-Net had the most interesting results. This work establishes a methodology to provide a baseline for assessing future changes in the distribution of Sado estuarine habitats, which can be replicated in other wetland ecosystems for conservation and management purposes.

关键词： Estuary Intertidal Zone ArcGIS Pro Segmentation Global Changes

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A Neural-network-based Alternative Scheme to Include Nonhydrostatic Processes in an Atmospheric Dynamical Core

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Advances in Atmospheric sciences 2024年第6期41卷 1083-1099,I0002,I0003页

作者： Yang XIA Bin WANG Lijuan LI Li LIU Jianghao LI Li DONG Shiming XU Yiyuan LI Wenwen XIA Wenyu HUANG Juanjuan LIU Yong WANG Hongbo LIU Ye PU Yujun HE Kun XIA Ministry of Education Key Laboratory for Earth System Modeling and Department of Earth System ScienceTsinghua UniversityBeijing 100084China State Key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Innovation Group 311020008 Southern Marine Science and Engineering Guangdong LaboratoryZhuhai 519000China Shanghai Ecological Forecasting and Remote Sensing Center Shanghai 200030China Key Laboratory of Earth System Modeling and Prediction China Meteorological AdministrationBeijing 100081China College of Ocean sciences University of Chinese Academy of SciencesBeijing 100049China

Here,a nonhydrostatic alternative scheme(NAS)is proposed for the grey zone where the nonhydrostatic impact on the atmosphere is evident but not large enough to justify the necessity to include an implicit nonhydrostatic solver in an atmospheric dynamical *** NAS is designed to replace this solver,which can be incorporated into any hydrostatic models so that existing well-developed hydrostatic models can effectively serve for a longer *** advances in machine learning(ML)provide a potential tool for capturing the main complicated nonlinear-nonhydrostatic *** this study,an ML approach called a neural network(NN)was adopted to select leading input features and develop the *** NNs were trained and evaluated with 12-day simulation results of dry baroclinic-wave tests by the Weather Research and Forecasting(WRF)*** forward time difference of the nonhydrostatic tendency was used as the target variable,and the five selected features were the nonhydrostatic tendency at the last time step,and four hydrostatic variables at the current step including geopotential height,pressure in two different forms,and potential temperature,***,a practical NAS was developed with these features and trained layer by layer at a 20-km horizontal resolution,which can accurately reproduce the temporal variation and vertical distribution of the nonhydrostatic *** by the NN-based NAS,the improved hydrostatic solver at different horizontal resolutions can run stably for at least one month and effectively reduce most of the nonhydrostatic errors in terms of system bias,anomaly root-mean-square error,and the error of the wave spatial pattern,which proves the feasibility and superiority of this scheme.

关键词： neural network nonhydrostatic alternative scheme atmospheric model dynamical core

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Study on crustal thickness and the prediction of prolific depressions:the Bohai Basin as an example

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Acta Oceanologica Sinica 2024年第4期43卷 92-104页

作者： Mengke Cai Gongcheng Zhang Wanyin Wang Dingding Wang College of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054China China National Offshore Oil Corporation(CNOOC)Research Institute Co. Ltd.Beijing 100028China Key Laboratory of marine Geology and Environment Chinese Academy of SciencesQingdao 266071China National Engineering Research Center of Offshore Oil and Gas Exploration Beijing 100028China department of Earth Environment and Resources SciencesUniversity of Naples FedericoⅡNaples 80138Italy

The deep crustal structure is closely related to oil and gas *** the oil and gas enrichment of depressions based on the Moho depth and crustal thickness is a promising research topic with significant implications for guiding exploration in petroliferous *** this study,seismic data were used as a constraint on the use of satellite gravity anomaly inversion to obtain the distribution of Moho depth and crustal thickness in the Bohai *** factors were calculated to analyze the differential distribution of deep crustal structural *** indicators,including the minimum Moho depth,minimum crustal thickness,sum of Moho stretching factors,and sum of crustal stretching factors,were *** component analysis was applied to reduce the dimensionality of the multi-indicator system and obtain an oil and gas enrichment score for quantitative prediction of favorable prolific *** deviation between the inverted Moho depth and seismic constraints was small;thus,the data effectively reflect the variations in the characteristics of each *** analysis revealed significant statistical features related to the minimum Moho depth/crustal thickness and the sum of Moho/crustal stretching factors associated with prolific *** on the oil and gas enrichment score,the depressions were classified into four categories related to their different deep crustal structural *** active ClassⅠ,ClassⅡ,and ClassⅢdepressions are predicted to be favorable prolific *** study expands the research on quantitatively predicting favorable prolific depressions in the Bohai Basin using the deep crustal structure and can contribute to reducing production costs and improving exploration efficiency in future explorations.

关键词： Bohai Basin satellite gravity anomaly deep crustal structure Moho depth crustal thickness favorable prolific depression

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Provenance and paleogeographic evolution of the Upper Paleozoic–Lower Mesozoic strata in northern Laos

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Journal of Earth Science 2024年

作者： Jingjie Jin Xin Qian Vongpaseuth Senebouttalath Yuzhi Zhang Yuejun Wang Guangdong Provincial Key Lab of Geodynamics and Geohazards， School of Earth sciences and Engineering， Sun Yat-sen University， and Southern marine Science and Engineering Guangdong Laboratory (Zhuhai) Ministry of Energy and Mines， department of Geology and Minerals

The Late Paleozoic–Early Mesozoic sedimentary system of the Luang Prabang Paleotethyan back-arc basin in northern Laos is important for investigating sedimentary provenance， paleogeographic patterns， and the tectonic evolution of the Eastern Paleotethyan Ocean. This study presents systematic stratigraphy， petrology， geochemistry， and detrital zircon U–Pb–Hf isotopic analyses for the Late Carboniferous–Jurassic sedimentary strata on both sides of the Luang Prabang basin. Based on distinct stratigraphic ages and provenance characteristics， the clastic rock samples can be divided into four groups. The Group 1 Late Carboniferous–Early Permian samples from the western part of the basin yield detrital zircon age-peaks of ～348 and ～1425 Ma， with corresponding εHf(t) values ranging from -2.0 to +15.5 and +1.5 to +14， respectively. The age spectrum of Group 2 Late Carboniferous–Early Permian samples from the eastern part of the basin shows major age-peaks of ～287 and ～1860 Ma， with εHf(t) values of -5.9–-0.9 and -3.6–+4.2， respectively. Group 3 Late Permian–Triassic samples exhibit age-peaks of ～242 and ～1853 Ma， along with εHf(t) values of -0.7–+14.4 and -5.4–-1.8， respectively. Group 4 Middle–Late Jurassic samples yield age-peaks of ～237，～431，～813，～1833， and ～2460 Ma， lacking Late Devonian (413–345 Ma) detrital zircons. All these data collectively suggest that the Group 1 sample primarily originated from the Sukhothai Arc in western Indochina， Group 2 was from the Kontum and Truong Son in eastern Indochina， and Group 3 has a combined provenance of the Sukhothai， Kontum， and Truong Son. Regional comparisons suggest that the Jurassic provenance was mainly derived from South China， which was imported through the northern river system. Our data， combined with the regional angular unconformities between Jurassic continental strata and pre-Jurassic marine strata， suggest that the Luang Prabang basin transformed into a superimposed collisional retroforeland basin during the Ju

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Drivers of East Asian summer monsoon variability:Global oceans and the Tibetan Plateau

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Science Bulletin 2024年第16期69卷 2487-2490页

作者： Anmin Duan Guoxiong Wu Bin Wang Andrew G.Turner Jun Hu Wenting Hu Ping Zhang Die Hu Yuheng Tang Center for marine Meteorology and Climate Change State Key Laboratory of Marine Environmental ScienceCollege of Ocean and Earth SciencesXiamen UniversityXiamen 361102China State Key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China department of Atmospheric sciences School of Ocean and Earth Science and TechnologyUniversity of HawaiiHonolulu 96822USA department of Meteorology University of ReadingReading RG67BEUK

The East Asian summer monsoon(EASM)profoundly influences the hydroclimate,ecosystems,and water resources of a densely populated region in *** EASM can lead to floods,droughts,significant economic losses,and social disruption in East Asia and Southeast *** the Indian and African monsoons,the EASM is shaped by both tropical and extratropical climate systems,including tropical oceanic modes,cross-equatorial airflows,the Madden-Julian Oscillation,the thermal condition of the Tibetan Plateau,the South Asia High,and the mid-latitude westerly jet.

关键词： Tibetan monsoon East

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Liquid crystal immunosensors for the selective detection of Escherichia coli with a fast analysis tool

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Photonics Research 2024年第7期12卷 1564-1573页

作者： SANDRO C.OLIVEIRA MARIA S.SOARES BÁRBARA V.GONÇALVES ANDREIA C.M.RODRIGUES AMADEU M.V.M.SOARES RITA G.SOBRAL NUNO F.SANTOS JAN NEDOMA PEDRO L.ALMEIDA CARLOS MARQUES CICECO-Aveiro Institute of Materials Physics DepartmentUniversity of Aveiro3810-193 AveiroPortugal i3N Physics DepartmentUniversity of Aveiro3810-193 AveiroPortugal Associate Laboratory i4HB-Institute for Health and Bioeconomy School of Sciences and TechnologyNOVA University of Lisbon1099-085 LisbonPortugal CESAM-Centre for Environmental and marine Studies and department of Biology University of Aveiro3810-193 AveiroPortugal department of Telecommunications VSB-Technical University of OstravaOstrava 70800Czech Republic i3N-CENIMAT School of Sciences and TechnologyNOVA University of Lisbon1099-085 LisbonPortugal UnIRE ISELPolytechnic Institute of Lisbon1549-020 LisbonPortugal department of Physics VSB-Technical University of OstravaOstrava 70800Czech Republic

The consumption of contaminated food may cause serious illnesses,and traditional methods to detect Escherichia coli are still associated with long waiting times and high costs given the necessity to transport samples to specialized *** is a need to develop new technologies that allow cheap,fast,and direct monitoring at the site of ***,in this work,we developed optical immunosensors for the selective detection of ***,based on liquid crystal technology,whose molecules can align in different manners depending on the boundary conditions (such as substrates) as well as the environment that they *** glass substrate was functionalized with *** antibody using cysteamine as an intermediate,and a vertical alignment was imposed on the liquid crystal molecules by using DMOAP during *** presence of bacteria disrupts the alignment of the liquid crystal molecules,changing the intensity of light emerging between cross polarizers,measured using a polarized optical microscope and a *** was possible to detect *** in suspensions in the concentration range from 2.8 cells/mL to 2.8×10^(9) cells∕*** was also evaluated,and the sensors were used to analyze contaminated water samples.A prototype was developed to allow faster,in-situ,and easier analysis avoiding bulky instruments.

关键词： crystal alignment analysis

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Highly Accurate Golden Section Search Algorithms and Fictitious Time Integration Method for Solving Nonlinear Eigenvalue Problems

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Computer Modeling in Engineering & sciences 2024年第5期139卷 1317-1335页

作者： Chein-Shan Liu Jian-Hung Shen Chung-Lun Kuo Yung-Wei Chen Center of Excellence for Ocean Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina department of marine Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina

This study sets up two new merit functions,which are minimized for the detection of real eigenvalue and complex eigenvalue to address nonlinear eigenvalue *** each eigen-parameter the vector variable is solved from a nonhomogeneous linear system obtained by reducing the number of eigen-equation one less,where one of the nonzero components of the eigenvector is normalized to the unit and moves the column containing that component to the right-hand side as a nonzero input vector.1D and 2D golden section search algorithms are employed to minimize the merit functions to locate real and complex ***,the real and complex eigenvectors can be computed very accurately.A simpler approach to the nonlinear eigenvalue problems is proposed,which implements a normalization condition for the uniqueness of the eigenvector into the eigenequation *** real eigenvalues can be computed by the fictitious time integration method(FTIM),which saves computational costs compared to the one-dimensional golden section search algorithm(1D GSSA).The simpler method is also combined with the Newton iterationmethod,which is convergent very *** the proposed methods are easily programmed to compute the eigenvalue and eigenvector with high accuracy and efficiency.

关键词： Nonlinear eigenvalue problem quadratic eigenvalue problem two new merit functions golden section search algorithm fictitious time integration method

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Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks:Climatology,Interannual Variability,and Extremes

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Advances in Atmospheric sciences 2024年第7期41卷 1299-1312页

作者： Ya WANG Gang HUANG Baoxiang PAN Pengfei LIN Niklas BOERS Weichen TAO Yutong CHEN BO LIU Haijie LI State Key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China College of Earth and Planetary sciences University of Chinese Academy of SciencesBeijing 100049China Earth System Modelling School of Engineering and DesignTechnical University of MunichOttobrunn 85521Germany Potsdam Institute for Climate Impact Research Potsdam 14412Germany department of Mathematics and Global Systems Institute University of ExeterExeter EX44QEUK CMA Earth System Modeling and Prediction Centre(CEMC) Chinese Academy of Meteorological SciencesBeijing 100081China

Climate models are vital for understanding and projecting global climate change and its associated ***,these models suffer from biases that limit their accuracy in historical simulations and the trustworthiness of future *** these challenges requires addressing internal variability,hindering the direct alignment between model simulations and observations,and thwarting conventional supervised learning ***,we employ an unsupervised Cycle-consistent Generative Adversarial Network(CycleGAN),to correct daily Sea Surface Temperature(SST)simulations from the Community Earth System Model 2(CESM2).Our results reveal that the CycleGAN not only corrects climatological biases but also improves the simulation of major dynamic modes including the El Niño-Southern Oscillation(ENSO)and the Indian Ocean Dipole mode,as well as SST ***,it substantially corrects climatological SST biases,decreasing the globally averaged Root-Mean-Square Error(RMSE)by 58%.Intriguingly,the CycleGAN effectively addresses the well-known excessive westward bias in ENSO SST anomalies,a common issue in climate models that traditional methods,like quantile mapping,struggle to ***,it substantially improves the simulation of SST extremes,raising the pattern correlation coefficient(PCC)from 0.56 to 0.88 and lowering the RMSE from 0.5 to *** enhancement is attributed to better representations of interannual,intraseasonal,and synoptic scales *** study offers a novel approach to correct global SST simulations and underscores its effectiveness across different time scales and primary dynamical modes.

关键词： generative adversarial networks model bias deep learning El Niño-Southern Oscillation marine heatwaves

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人工神经网络与遗传算法预测液体晃荡参数的比较

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哈尔滨工程大学学报（英文版） 2024年第2期23卷 292-301页

作者： Hassan Saghi Mohammad Reza Sarani Nezhad Reza Saghi Sepehr Partovi Sahneh department of Civil Engineering Hakim Sabzevari UniversitySabzevarIran department of Electrical and Computer Engineering University of BirjandBirjandIran State Key Laboratory of coastal and Offshore Engineering Dalian University of TechnologyDalian116024China department of marine Engineering Amirkabir University of TechnologyTehranIran

This paper develops a numerical code for modelling liquid *** coupled boundary element-finite element method was used to solve the Laplace equation for inviscid fluid and nonlinear free surface boundary *** Nakayama and Washizu’s results,the code performance was *** the developed numerical mode,we proposed artificial neural network(ANN)and genetic algorithm(GA)methods for evaluating sloshing loads and comparing *** compare the efficiency of the suggested methods,the maximum free surface displacement and the maximum horizontal force exerted on a rectangular tank’s perimeter are *** can be seen from the results that both ANNs and GAs can accurately predict η_(max) and F_(max).

关键词： Sloshing loads Fluid structure interactions Potential flow analysis Artificial neural network Genetic algorithm

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Unique double-layer solid electrolyte interphase formed with fluorinated ether-based electrolytes for high-voltage lithium metal batteries

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Journal of Energy Chemistry 2024年第1期88卷 532-542,I0012页

作者： Ruo Wang Jiawei Li Bing Han Qingrong Wang Ruohong Ke Tong Zhang Xiaohu Ao Guangzhao Zhang Zhongbo Liu Yunxian Qian Fangfang Pan Iseult Lynch Jun Wang Yonghong Deng department of Materials Science&Engineering School of Innovation and EntrepreneurshipSouthern University of Science and TechnologyShenzhen 518055GuangdongChina School of Geography Earth and Environmental SciencesUniversity of BirminghamEdgbastonBirmingham B152TTUK Key Laboratory of marine Environmental Corrosion and Bio-Fouling Institute of OceanologyChinese Academy of SciencesQingdao 266071ShandongChina Shenzhen CAPCHEM Technology Co. Ltd.Shenzhen 518118GuangdongChina CALB Group Co. Ltd.Changzhou 213200JiangsuChina

Li metal batteries using high-voltage layered oxides cathodes are of particular interest due to their high energy ***,they suffer from short lifespan and extreme safety concerns,which are attributed to the degradation of layered oxides and the decomposition of electrolyte at high voltage,as well as the high reactivity of metallic *** key is the development of stable electrolytes against both highvoltage cathodes and Li with the formation of robust interphase films on the ***,we report a highly fluorinated ether,1,1,1-trifluoro-2-[(2,2,2-trifluoroethoxy)methoxy]ethane(TTME),as a cosolvent,which not only functions as a diluent forming a localized high concentration electrolyte(LHCE),but also participates in the construction of the inner solvation *** TTME-based electrolyte is stable itself at high voltage and induces the formation of a unique double-layer solid electrolyte interphase(SEI)film,which is embodied as one layer rich in crystalline structural components for enhanced mechanical strength and another amorphous layer with a higher concentration of organic components for enhanced *** Li||Cu cells display a noticeably high Coulombic efficiency of 99.28%after 300 cycles and Li symmetric cells maintain stable cycling more than 3200 h at 0.5 mA/cm^(2) and 1.0m Ah/cm^(2).In addition,lithium metal cells using LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) and Li CoO_(2) cathodes(both loadings~3.0 m Ah/cm^(2))realize capacity retentions of>85%over 240 cycles with a charge cut-off voltage of 4.4 V and 90%for 170 cycles with a charge cut-off voltage of 4.5 V,*** study offers a bifunctional ether-based electrolyte solvent beneficial for high-voltage Li metal batteries.

关键词： Lithium metal batteries High-voltage layered oxides Fluorinated ether-based electrolytes Solid electrolyte interphase Cathode electrolyte interphase

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