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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions

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Journal of environmental Sciences 2025年第3期149卷 68-78页

作者： Qiang Zhang Xin Li Long Yu Lingxiao Wang Zhiqing Wen Pengchen Su Zhenli Sun Suhua Wang School of Environmental Science and Engineering Guangdong University of Petrochemical TechnologyMaoming 525000China MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

The presence of aluminum(Al^(3+))and fluoride(F^(−))ions in the environment can be harmful to ecosystems and human health,highlighting the need for accurate and efficient *** this paper,an innovative approach is presented that leverages the power of machine learning to enhance the accuracy and efficiency of fluorescence-based detection for sequential quantitative analysis of aluminum(Al^(3+))and fluoride(F^(−))ions in aqueous *** proposed method involves the synthesis of sulfur-functionalized carbon dots(C-dots)as fluorescence probes,with fluorescence enhancement upon interaction with Al^(3+)ions,achieving a detection limit of 4.2 nmol/***,in the presence of F^(−)ions,fluorescence is quenched,with a detection limit of 47.6 nmol/*** fingerprints of fluorescence images are extracted using a cross-platform computer vision library in Python,followed by data ***,the fingerprint data is subjected to cluster analysis using the K-means model from machine learning,and the average Silhouette Coefficient indicates excellent model ***,a regression analysis based on the principal component analysis method is employed to achieve more precise quantitative analysis of aluminum and fluoride *** results demonstrate that the developed model excels in terms of accuracy and *** groundbreaking model not only showcases exceptional performance but also addresses the urgent need for effective environmental monitoring and risk assessment,making it a valuable tool for safeguarding our ecosystems and public health.

关键词： Machine learning Aluminum ion detection Fluorine ion detection Fluorescence probe K-means model

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Global Fire Season Types and Their Characteristics Based on MODIS Burned Area Data

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Chinese Geographical Science 2025年第2期35卷 374-383页

作者： ZHANG Weihan LIU Ronggao HE Jiaying LIU Yang WU Chao State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences University of Chinese Academy of Sciences Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University

Fire season affects the dynamic changes of post-fire vegetation communities and carbon emissions. Analyzing its global patterns supports understanding of the ecological impacts of fires and responses of fires to climate change. Meteorological variables have been widely used to quantify fire season in current studies. However, their results can not be used to assess climate impacts on the seasonality of fire activities. Here we utilized satellite-based Moderate Resolution Imaging Spectroradiometer(MODIS) burned area data from 2001 to 2022 to identify global fire season types based on the number of peaks within a year. Using satellite data and innovatively processing the data to obtain a more accurate length of the fire season. We divided fire season types and examined the spatial distribution of fire season types across the K?ppen-Geiger climate(KGC) zones. At a global scale, we identified three major fire season types,including unimodal(31.25%), bimodal(52.07%), and random(16.69%). The unimodal fire season primarily occurs in boreal and tropical regions lasting about 2.7 mon. In comparison, temperate ecosystems tend to have a longer fire season(3 mon) with two peaks throughout the year. The KGC zones show divergent contributions from the fire season types, indicating potential impacts of the climatic conditions on fire seasonality in these regions.

关键词： fire season fire season types Moderate Resolution Imaging Spectroradiometer (MODIS) burned area data Koppen-Geiger climate classification system global terrestrial ecosystems

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Carbazole-Bearing Conjugated Microporous Polymer Electrodes for Uranium Extraction from Seawater with Good Anti-biofouling Feature

Chem and Bio Engineering

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Chem and Bio Engineering 2025年第1期2卷 53-63页

作者： Zhang, Xinyue Lei, Xinying Sun, Hongfei Ke, Hanming Xu, Jingxuan Yang, Yuhao Zhang, Sai Wen, Tao Ji, Zhuoyu Wang, Xiangke MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Beijing Key Laboratory of Environmental and Viral Oncology College of Chemistry and Life Science Beijing University of Technology Beijing100124 China

Emerging electrochemical uranium extraction from seawater offers a promising route for a sustainable fuel supply for nuclear reactor operation. In this work, we intentionally synthesized a conjugated microporous polymer (CMP) with π-conjugated skeletons and permanent porosity, which was induced by in situ electropolymerization on flexible carbon cloths, followed by postdecorating amidoxime groups to create functional materials (CMP-AO). Driven by an extra asymmetrical alternating current electrochemical extraction, the self-supporting and binder-free electrode is exceptionally capable of selectively and rapidly capturing U(VI) from simulated solution, affording an extraction capacity of ∼1806.4 mg/g without saturation. Experimental observation in combination with ex/in situ spectroscopy revealed that CMP-AO enabled surface selective binding sites (amidoxime groups) to U(VI), followed by electrocatalytic reduction (carbazole groups) to yield yellow precipitates (Na2O(UO3·H2O)x) via reversible electron transfer in the presence of sodium electrolyte. Furthermore, the integrating adsorption-electrocatalysis system achieved an extraction capacity of 18.8 mg/g in real seawater for 21 days and good antibiofouling abilities, validating its feasibility for practical application. © 2024 The Authors. Co-published by Zhejiang University and American Chemical Society.

关键词： Electropolymerization

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Electrochemical extraction of strontium from molten salts using reactive zincand aluminum electrodes

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 892-901页

作者： Yongcheng Zhang Taiqi Yin Lei Zhang Xiaochen Zhang Tao Bo Xiaoli Tan Mei Li Wei Han Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China College of Materials Science and Chemical Engineering Harbin Engineering UniversityHarbin 150001China MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Qianwan Institute of CNITECH Ningbo 315336China

Herein, the electrochemical behaviors of Sr on inert W electrode and reactive Zn/Al electrodes were systematically investig-ated in LiCl–KCl–SrCl2molten salts at 773 K using various electrochemical methods. The chemical reaction potentials of Li and Sr on re-active Zn/Al electrodes were determined. We observed that Sr could be extracted by decreasing the activity of the deposited metal Sr onthe reactive electrode, although the standard reduction potential of Sr(II)/Sr was more negative than that of Li(I)/Li. The electrochemicalextraction products of Sr on reactive Zn and Al electrodes were Zn13Sr and Al4Sr, respectively, with no codeposition of Li *** on the density functional theory calculations, both Zn13Sr and Al4Sr were identified as stable intermetallic compounds with Zn-/Al-rich phases. In LiCl–KCl molten salt containing 3wt% SrCl2, the coulombic efficiency of Sr in the Zn electrode was ~54%. The depolar-ization values for Sr on Zn and Al electrodes were 0.864 and 0.485 V, respectively, exhibiting a stronger chemical interaction between Znand Sr than between Al and Sr. This study suggests that using reactive electrodes can facilitate extraction of Sr accumulated while elec-trorefining molten salts, thereby enabling the purification and reuse of the salt and decreasing the volume of the nuclear waste.

关键词： strontium reductive extraction molten salt depolarization effect reactive electrode

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Holocene Dynamics of Vegetation Cover and Their Driving Mechanisms in Asian Drylands

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Journal of Earth Science 2025年第2期36卷 839-842页

作者： Shengqian Chen Yuanhao Sun Guoqiang Ding Xianyong Cao Alpine Paleoecology and Human Adaptation Group State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China MOE Key Laboratory of West China's Environmental System College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China

0 *** Asian drylands,encompassing the northern East Asian monsoon region(NMA),the westerlies-dominated arid central Asia(ACA)and arid west Asia(AWA),are ecologically fragile areas and among the most sensitive regions to global *** regions are significant dust sources of the Northern Hemisphere(e.g.,Uno et al.,2009),playing a vital role in global climate change and marine biogeochemical cycles.

关键词： dynamics marine biogeochemical cycles global changethese asian drylandsencompassing east asian monsoon arid central asia aca driving mechanisms Holocene

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Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 11031-11046页

作者： Shao, Wei Wu, Chenchen Yue, Tianxiang Zhao, Na Hu, Yunfeng Chinese Academy of Sciences State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Beijing100101 China University of Chinese Academy of Sciences College of Resources and Environment Beijing100049 China

Accurate prediction of future gross primary productivity (GPP) change in Central Asia is crucial for assessing the health of terrestrial ecosystems in the region and adapting to impending climate change. This study investigates the feasibility of utilizing deep learning (DL) models for forecasting future annual GPP based on historical data. Specifically, we introduce a novel model, LSTM-Transformer-Group model (LTG), tailored to the unique characteristics of GPP prediction in Central Asia. Based on MODIS GPP data, we evaluate the future annual GPP prediction performance of the LTG model and classical DL models, and we further examine the impact of different input time steps on prediction accuracy and carefully investigate the influence of climatic factors on the accuracy of annual GPP predictions. Furthermore, we evaluate the LTG model's long-term forecasting capability. Our experiments reveal several key findings: 1) DL models adeptly capture the temporal dynamics within GPP time series, facilitating direct prediction of future annual GPP based on past data. The proposed LTG model, optimized with an appropriate input time step, achieves superior prediction accuracy, yielding an R2 of 0.945;2) GPP prediction performance varies across different climatic zones, but integrating climatic variables as direct inputs to the DL model does not enhance accuracy and may even diminish performance;3) Over the long term (2019–2023), the LTG model consistently outperforms, exhibiting an average R2 exceeding 0.95. Our findings offer methodological insights for future GPP prediction endeavors in diverse geographical contexts. © 2008-2012 IEEE.

关键词： Prediction models

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Geomorphon-based classification of multiscale lunar landform

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Journal of Applied Remote Sensing 2025年第1期19卷

作者： Li, Junjiao Wang, Jiao Shi, Yijian Cheng, Weiming China University of Geosciences School of Information and Engineering Beijing China Chinese Academy of Sciences Institute of Geographic Sciences and Natural Resources Research State Key Laboratory of Resources and Environmental Information System Beijing China

Landform classification can help us better understand the structure, composition, and evolution of the lunar surface, which is of great value for exploration engineering design and task execution. Currently, research on micro-lunar landform elements is limited due to the intricate morphology influenced by internal forces such as volcanic activities and tectonic processes, and external forces including impacts and space weathering. These forces create a wide range of morphological variations, making it challenging to identify and classify micro-lunar landforms using traditional methods. To address these challenges, this study proposes a scale-adaptive approach for effectively classifying diverse micro-lunar landforms. An algorithm based on geomorphons is introduced, which defines local ternary patterns by optimizing topographic parameters and classifies micro-level landform elements accordingly. The classification process aggregates lunar geomorphons using relief amplitude and slope, enabling the identification of multi-scale landforms across extensive regions. The proposed method achieves high classification performance, with an overall accuracy (OA) of 82.46% and a kappa coefficient (K) of 0.75. By integrating multi-scale units, a comprehensive lunar landform classification system is constructed, facilitating the efficient extraction and analysis of landform elements. Furthermore, the classified lunar landforms provide multi-scale landform units for more detailed analyses of lunar geomorphology and geology. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Geomorphology

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Comparison of gap-filling methods for generating landsat-like land surface temperatures under all-weather conditions

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ISPRS Journal of Photogrammetry and Remote Sensing 2025年 225卷 113-130页

作者： Guo, Jiali Quan, Jinling Zhan, Wenfeng Wen, Zhongguan State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100190 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System Science Nanjing University Jiangsu Nanjing210046 China College of Environmental Sciences and Engineering Peking University Beijing100871 China

Thermal infrared remote sensors provide cost-effective and widespread land surface temperatures (LSTs) but often with spatiotemporal gaps due to discrete sampling and synoptic disturbance, greatly limiting their reliability and application. Current gap-filling methods have been primarily developed and validated for medium- to low-resolution LSTs;however, with rising demand for spatiotemporally continuous, high-resolution (tens of meters like Landsat) LSTs across disciplines, there is an urgent need to assess these methods’ applicability and uncertainty at higher spatial resolutions under a unified framework. In this study, we apply eight typical and hybrid methods, including temporal interpolation, spatiotemporal interpolation, weight-based fusion, learning-based fusion, and four standard annual temperature cycle (ATC)-based hybrid reconstructions, to fill gaps in irregularly spaced Landsat series over Weishan, Huairou, and Yulin, China. These sites represent cropland in a sub-humid plain, forest in a sub-humid mountain region, and grassland in the semi-arid Loess Plateau. We evaluate their performance in terms of spatiotemporal pattern, statistical accuracy, sensitivity to input data quality and distribution, and adaptability to different synoptic and surface conditions based on cloudy Landsat data and in-situ measurements. Results reveal that the enhanced ATC (EATC) method is optimal among these methods, capturing all-weather spatiotemporal dynamics at the Landsat scale with superior accuracy and robustness under various input, cloud, and ground conditions. In addition, the ATC-based hybrid methods do not necessarily improve the statistical accuracy over their respective typical ones. This comprehensive evaluation provides valuable insights into the selection of appropriate gap-filling methods for generating Landsat-like LSTs under all-weather conditions and highlights the need for further advancements especially in addressing abrupt changes in land cover types an

关键词： Surface stress

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Superhydrophobic ceramic membrane coupled with a biphasic solvent for efficient CO_(2)capture

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Green Energy & Environment 2025年第4期10卷 834-844页

作者： Kaili Xue Zhen Chen Xiaona Wu Heng Zhang Haiping Chen Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production Process School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing102206China

An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue *** accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modification through silane grafting,followed by fluoroalkylsilane decoration,to prepare the superhydrophobic membrane(CSCM).The CSCM significantly improved resistance to wetting by the biphasic solvent,consisting of amine(DETA)and sulfolane(TMS).Morphological characterizations and chemical analysis revealed the notable enhancements in pore structure and hydrophobic chemical groups for the modified *** of wetting/bubbling behavior based on static wetting theory referred the liquid entry pressure(LEP)of CSCM increased by 20 kPa compared to pristine *** with traditional amine solvents,the biphasic solvent presented the expected phase *** experiments demonstrated that the CO_(2) capture efficiency of the biphasic solvent increased by 7%,and the electrical energy required for desorption decreased by 32%.The 60-h continuous testing and supplemental characterization of used membrane confirmed the excellent adaptability and durability of the *** study provides a potential approach for accessing hydrophobic ceramic membranes and biphasic solvents for industrial CO_(2) capture.

关键词： Carbon capture Membrane contactor Hydrophobic modification Membrane wetting Biphasic solvent

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Influences of strain rate on mechanical behaviors of unsaturated and quasi-saturated loess under varying drainage conditions

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第2期17卷 1163-1181页

作者： Tongwei Zhang Sheng Li Hengxing Lan Huyuan Zhang Fanyu Zhang Key Laboratory of Mechanics on Disaster and Environment in Western China College of Civil Engineering and MechanicsLanzhou UniversityLanzhou730000China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China School of Geological Engineering and Geomatics Chang'an UniversityXi'an710064China

Although time-dependent deformation of geomaterials underpins slope-failure prediction models,the influence of strain rate on shearing strength and deformation behavior of loess remains *** consolidated undrained(CU)and drained(CD)triaxial testing elucidated the impact of strain rate(0.005–0.3 mm/min)on strength envelopes,deformation moduli,pore pressures,and dilatancy characteristics of unsaturated and quasi-saturated *** drained conditions with a controlled matric suction of 50 kPa,increasing strain rates from 0.005 mm/min to 0.011 mm/min induced decreases in failure deviatoric stress(qf),initial deformation modulus(Ei),and cohesion(c),while friction angles remained *** displayed initial contractive volumetric strains transitioning to dilation across varying confining *** rates diminished contractive volumetric strains and drainage volumes,indicating reduced densification and strength in the shear *** undrained conditions,both unsaturated and quasi-saturated(pore pressure coefficient B=0.75)loess exhibited deteriorating mechanical properties with increasing rates from 0.03 mm/min to 0.3 mm/*** unsaturated loess,reduced contractive volumetric strains at higher rates manifested relatively looser structures in the pre-peak stress *** strength decrement in quasi-saturated loess arose from elevated excess porewater pressures diminishing effective *** porewater pressures emerged in quasi-saturated loess at lower confining pressures and strain *** to previous studies,the qf and Ei exhibited rate sensitivity below threshold values before attaining minima with marginal subsequent *** underlying mechanism mirrors the transition from creep to accelerated deformation phase of landslides.

关键词： Unsaturated loess Strain rate Shearing strength Deformation modulus Drainage conditions

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