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First satellite observation of total column water vapor from the Chinese environmental Trace Gases Monitoring Instrument

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Science China Earth Sciences 2025年第4期68卷 977-997页

作者： Ran ZHAO Chengxin ZHANG Wenjing SU Jin YE Ziwei LI Cheng LIU School of Environmental Science and Optoelectronic Technology University of Science and Technology of ChinaHefei230026China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei230026China Department of Environmental Science and Engineering University of Science and Technology of ChinaHefei230026China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei230031China Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes University of Science and Technology of ChinaHefei230026China

Atmospheric water vapor is a critical component of the Earth's water cycle and has significant impacts on weather,climate,and atmospheric ***,deficiencies remain in the coverage and accuracy of water vapor *** this study,we first retrieved the total column water vapor(TCWV)in the visible blue spectral band from two Chinese satellite UV-Vis spectrometers,the environmental Trace Gases Monitoring Instruments(EMIs),which are onboard the Chinese GaoFen-5(GF-5,since May 2018)and GaoFen-5B(GF-5B,since September 2021)***,limited by factors such as the relatively lower spectral signal-to-noise ratio and weak absorption of water vapor,the accurate retrieval of TCWV from the EMI spectrum is rather ***,we improved the baseline TCWV retrieval based on the differential optical absorption technique,including the re-calibration of the on-orbit spectra,optimization of the spectral fitting,and bias correction in the fitted *** tests show that the mean retrieval TCWV error of the EMI decreased by 1.47 kg m-2compared to that using uncalibrated *** improved spectral fitting significantly reduced the relative uncertainty of the water vapor slant column densities(SCD)by 13.42%,and increased the number of successful fits by 11.64%.The improved EMI TCWV retrieval results from both the GF-5 and GF-5B satellites show a trend consistent with the TROPOspheric Monitoring Instrument(TROPOMI)satellite observations,with a correlation coefficient(R)of 0.98 and a mean bias of 1.04 kg m-2(6.88%).Ground-based validations showed that the correlation between the EMI TCWV retrievals from the GF-5B satellite(R=0.91)and sun photometer measurements was significantly higher than that from the GF-5 satellite(R=0.87),which may have been due to the improved performance of the EMI instrument on the GF-5B ***,we showed that an intense atmospheric river event could be successfully captured by EMI TCWV measurements,whi

关键词： Water vapor UV-Vis sensor Trace gas Remote sensing Atmospheric composition

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Spatial-temporal distribution and emission of urban scale air pollutants in Hefei based on Mobile-DOAS

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Journal of environmental Sciences 2025年第5期151卷 238-251页

作者： Zhidong Zhang Pinhua Xie Ang Li Min Qin Jin Xu Zhaokun Hu Xin Tian Feng Hu Yinsheng Lv Jiangyi Zheng Youtao Li School of Environmental Science and Optoelectronic Technology University of Science and Technology of ChinaHefei 230026China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China University of Chinese Academy of Sciences Beijing 100049China Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China

As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban ***,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric *** address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May *** monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station ***,there were pronounced seasonal variations in air ***,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial *** study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in *** spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two *** study offers data support for formulating the next phase of air pollution control measures in urban areas.

关键词： Mobile-DOAS HCHO NO_(2) SO_(2) Spatial-temporal distribution NOx emission

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Long-term spatiotemporal variations of ammonia in the Yangtze River Delta region of China and its driving factors

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Journal of environmental Sciences 2025年第4期150卷 202-217页

作者： Jingkai Xue Chengzhi Xing Qihua Li Shanshan Wang Qihou Hu Yizhi Zhu Ting Liu Chengxin Zhang Cheng Liu School of Environmental Science and Optoelectronic Technology University of Science and Technology of ChinaHefei 230026China Key Lab of Environmental Optics&Technology Anhui Institute of Optics and Fine MechanicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China Anhui Institute of Optics and Fine Mechanics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes University of Science and Technology of ChinaHefei 230026China Institute of Physical Science and Information Technology Anhui UniversityHefei 230601China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China School of Environmental Science and Engineering Suzhou University of Science and TechnologySuzhou 215009China

This study focuses on the spatiotemporal distribution,urban-rural variations,and driving factors of ammonia Vertical Column Densities(VCDs)in China’s Yangtze River Delta region(YRD)from 2008 to *** data from the Infrared Atmospheric Sounding Interfer-ometer(IASI),Generalized Additive Models(GAM),and the GEOS-Chem chemical transport model,we observed a significant increase of NH_(3)VCDs in the YRD between 2014 and *** spatial distribution analysis revealed higher NH_(3)concentrations in the northern part of the YRD region,primarily due to lower precipitation,alkaline soil,and intensive agricul-tural ***_(3)VCDs in the YRD region increased significantly(65.18%)from 2008 to *** highest growth rate occurs in the summer,with an annual average growth rate of 7.2%during the period from 2014 to *** emissions dominated NH_(3)VCDs during spring and summer,with high concentrations primarily located in the agricultural areas adjacent to densely populated urban *** within several large urban areas have been discovered to exhibit relatively stable variations in NH_(3)*** rise in NH_(3)VCDs within the YRD region was primarily driven by the reduction of acidic gases like SO_(2),as emphasized by GAM modeling and sensitivity tests using the GEOS-Chem *** concentration changes of acidic gases contribute to over 80%of the interannual variations in NH_(3)*** emphasizes the crucial role of environmental policies targeting the reduction of these acidic *** emission control is urgent tomitigate environmental hazards and secondary particulate matter,especially in the northern YRD.

关键词： Yangtze River Delta Ammonia Spatiotemporal distribution Driving factors

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MAX-DOAS observations of pollutant distribution and transboundary transport in typical regions of China

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Journal of environmental Sciences 2025年第5期151卷 652-666页

作者： Hongmei Ren Ang Li Zhaokun Hu Hairong Zhang Jiangman Xu Xinyan Yang Jinji Ma Shuai Wang School of Physics and Electronic Information Anhui Normal UniversityWuhu 241000China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China University of Science and Technology of China Hefei 230026China School of Geography and Tourism Anhui Normal UniversityWuhu 241000China China National Environmental Monitoring Centre Beijing 100012China

Studying the spatiotemporal distribution and transboundary transport of aerosols,NO_(2),SO_(2),and HCHO in typical regions is crucial for understanding regional pollution *** a 2-year study using multi-axis differential optical absorption spectroscopy in Qingdao,Shanghai,Xi’an,and Kunming,we investigated pollutant distribution and transport across Eastern China-Ocean,Tibetan Plateau-Central and Eastern China,and China-Southeast Asia ***,pollutant distributionwas ***,frequently clouded and misty,exhibited consistently high aerosol optical depth throughout the *** Qingdao and Shanghai,NO_(2)and SO_(2),as well as SO_(2)in Xi’an,increased in *** HCHO in summer in Shanghai and Xi’an,especially Xi’an,suggests potential ozone pollution ***,pollutant transportation across interfaces was *** the Eastern China-Ocean interface,the gas transport flux was the largest among other interfaces,with the outflux exceeding the influx,especially in winter and *** input of pollutants from the Tibetan Plateau to central-eastern Chinawas larger than the output in winter and spring,with SO_(2)having the highest transport flux in *** pollution input from Southeast Asia to China significantly exceeded the output,with spring and winter inputs being 3.22 and 3.03 times the output,***,the transportation characteristics of a pollution event at Kunming were *** this period,pollutants were transported from west to east,with themaximum SO_(2)transport flux at an altitude of 2.87 km equaling 27.74μg/(m^(2)·s).It is speculated that this pollution was caused by the transport from Southeast Asian countries to Kunming.

关键词： Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) Pollutants Spatiotemporal distribution Transboundary transport

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Hyperspectral gas detection method based on image and spectral information 10

Hyperspectral gas detection method based on image and spectr...

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10th Symposium on Novel Optoelectronic Detection technology and Applications

作者： Ning, Zhiqiang Fang, Yonghua Liu, Jiaxiang Li, Zhengang Xu, Haichun Miao, Junfang Wang, Canlong Pan, Ying Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine Mechanics Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China University of Science and Technology of China Hefei China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Hyperspectral imaging, as a remote sensing technology that emerged in the 1980s, provides extensive spatial image information while simultaneously acquiring detailed spectral information of target substances. This technique is particularly valuable for gas detection, as it enables simultaneous analysis of gas composition and spatial distribution. However, current hyperspectral gas detection methods face several challenges. Most of these methods rely on pixel-by-pixel detection, which is not only computationally intensive but also susceptible to background interference. To address these issues, this paper proposes an infrared hyperspectral gas detection method that combines both image and spectral information to improve detection accuracy and efficiency for polluted gases. Initially, the hyperspectral "data cube" for ammonia, acquired through field-based measurements, is radiometrically calibrated and converted into radiance spectra. Subsequently, using Planck's formula, the radiance spectra are transformed into brightness temperature spectra to facilitate the extraction of spatial and spectral information from the data cube. The brightness temperature images are then analyzed to extract primary gas features, with denoising further enhanced by filtering techniques to improve signal quality. Next, threshold segmentation is applied to binarize the image, obtaining the spatial distribution of the gas. For the spectral data within the identified gas regions, an improved iterative polynomial fitting method is employed to remove baseline spectral interference, followed by spectral matching with a standard spectral database, thus completing the hyperspectral gas detection process and enabling visualization of ammonia identification results. Experimental results indicate that this method effectively integrates the image and spectral information within the hyperspectral data cube, significantly reducing computational demands and enhancing the detection accuracy of gas cloud.

关键词： Image segmentation

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A close-range powder sample detection method based on UV Raman - fluorescence combined Spectroscopy

A close-range powder sample detection method based on UV Ram...

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2024 Advanced Fiber Laser Conference, AFL 2024

作者： Si, Ganshang Li, Zhengang Miao, Junfang Xie, Dongliang Zhang, ZhenYun Wang, Yanchun School of Electronic and Electrical Engineering Bengbu University Bengbu233030 China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and FineMechanics Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

Raman spectroscopy is widely used in many fields because of its advantages of simultaneous detection of multiple components, no need for sample preparation, and molecular fingerprinting characteristics, etc. However, traditional Raman spectroscopy technology still has some problems in on-site online powder detection, such as low sensitivity and single detection information. To address this problem, research on close-range powder detection method based on UV Raman-Fluorescence spectroscopy was carried out in this paper. Aiming at the problem of reduced signal collection efficiency caused by changes in sample detection distance, the displacement platform is used to assist spectral signal collection, realizing focused detection at different distances and effectively improving signal collection efficiency. In order to further verify the effectiveness of the method, an experimental setup was built and some experiments were carried out. The experimental results show that this method can meet the detection needs of powder samples at a distance of 1-2m. Simulating the actual application scenarios, the experimental setup was used to detect three typical powders of baking soda, 1,2,4,5-tetramethylbenzene and amino acid with the content of about 4 mg/cm2 on four different substrates (aluminium metal, cloth, paper and plastic) at 1.5 m. The above experimental results verify that this method can meet the needs of close-range trace powder sample detection. © 2025 SPIE.

关键词： Fluorescence spectroscopy

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Design, Performance, and Applications of AMMIS: A Novel Airborne Multimodular Imaging Spectrometer for High-Resolution Earth Observations

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Engineering 2025年第4期47卷 38-56页

作者： Jia, Jianxin Wang, Yueming Zheng, Xiaorou Yuan, Liyin Li, Chunlai Cen, Yi Si, Fuqi Lv, Gang Wang, Chongru Wang, Shengwei Zhang, Changxing Zhang, Dong He, Daogang Zhuang, Xiaoqiong Han, Guicheng Zhang, Mingyang Hyyppä, Juha Wang, Jianyu Key Laboratory of Space Active Opto-Electronics Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Department of Photogrammetry and Remote Sensing Finnish Geospatial Research Institute EspooFI-02150 Finland Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis Guangdong School of Computer Science and Engineering South China University of Technology Guangzhou510641 China State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine Mechanics Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China Department of Mechanical Engineering Aalto University EspooFI-02150 Finland

Airborne hyperspectral imaging spectrometers have been used for Earth observation over the past four decades. Despite the high sensitivity of push-broom hyperspectral imagers, they experience limited swath and wavelength coverage. In this study, we report the development of a push-broom airborne multimodular imaging spectrometer (AMMIS) that spans ultraviolet (UV), visible near-infrared (VNIR), shortwave infrared (SWIR), and thermal infrared (TIR) wavelengths. As an integral part of China's High-Resolution Earth Observation Program, AMMIS is intended for civilian applications and for validating key technologies for future spaceborne hyperspectral payloads. It has been mounted on aircraft platforms such as Y-5, Y-12, and XZ-60. Since 2016, AMMIS has been used to perform more than 30 flight campaigns and gather more than 200 TB of hyperspectral data. This study describes the system design, calibration techniques, performance tests, flight campaigns, and applications of the AMMIS. The system integrates UV, VNIR, SWIR, and TIR modules, which can be operated in combination or individually based on the application requirements. Each module includes three spectrometers, utilizing field-of-view (FOV) stitching technology to achieve a 40° FOV, thereby enhancing operational efficiency. We designed advanced optical systems for all modules, particularly for the TIR module, and employed cryogenic optical technology to maintain optical system stability at 100 K. Both laboratory and in-flight calibrations were conducted to improve preprocessing accuracy and produce high-quality hyperspectral data. The AMMIS features more than 1400 spectral bands, with spectral sampling intervals of 0.1 nm for UV, 2.4 nm for VNIR, 3 nm for SWIR, and 32 nm for TIR. In addition, the instantaneous fields of view (IFoVs) for the four modules were 0.5, 0.25, 0.5, and 1 mrad, respectively, with the VNIR module achieving an IFoV of 0.125 mrad in the high-spatial-resolution mode. This study reports on land

关键词： Fighter aircraft

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Research on atmospheric coherence length detection method based on optical computing lidar

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optics Express 2025年第10期33卷 21055-21069页

作者： Shenbo Li Jie Wang Kee Yuan Dongfeng Shi Jian Huang Yafeng Chen Runbo Jiang Yingjian Wang Science Island Branch of Graduate School University of Science and Technology of China Hefei 230026 China Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei 230031 China Nanhu Laser Laboratory National University of Defense Technology Changsha 410073 China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei 230031 China

The atmospheric coherence length is an important parameter that reflects the turbulence effects on optical wave transmission through the atmosphere. Real-time acquisition of atmospheric coherence length plays a significant role in various fields. Utilizing DIM lidar, we integrated related imaging and lidar technologies, substituting high quantum efficiency array detectors with optical modulators and APD detectors. We then conducted research on atmospheric coherence length detection using optical computing lidar. Through the laser atmospheric turbulence phase screen transmission program, we conducted numerical simulations of the centroid jitter variance in non-imaging optical computing methods, which demonstrated good consistency with results calculated by conventional methods. The system structure and technical specifications of the independently developed optical computing lidar are introduced. Experiments on the high spatial-temporal distribution of atmospheric coherence length were conducted in Hefei during summer nights at multiple angles (15°, 30°, 45°, and 90°). Preliminary results indicate that the atmospheric coherence length near the ground diminishes gradually with increasing detection distance, up to 4.5 km. The numerical range observed is between 4 to 9 cm, suggesting that employing optical computing lidar to detect atmospheric coherence length is both feasible and reliable.

关键词： Atmospheric turbulence Detector arrays Imaging systems Numerical simulation Optical computing Optical detection

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Construction of a photocatalytic-membrane separation coupled system via click chemistry-synthesized TiO2/biochar composites for ranitidine degradation in water: Mechanisms, pathways, and theoretical calculations

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Separation and Purification technology 2025年 371卷

作者： Dai, Weiwen Zhang, Huiqin Zhang, Zixuan Yang, Wanyue Sun, Jinghan Liu, Ying Xia, Min Jiang, Qing Hubei Key Laboratory of Environmental Geotechnology and Ecological Remediation for Lake & River Hubei University of Technology Wuhan China Wuhan Optics Valley Environmental Protection Technology Co. Ltd China

Ranitidine (RAN), a widely detected anti-ulcer drug with carcinogenic potential, poses severe ecological risks due to its high toxicity, environmental persistence, and recalcitrance at trace concentrations. This study innovatively developed a photocatalytic-membrane separation coupled system using TiO2/walnut shell biochar (WSB) composites (P25/WSB-1) synthesized via click chemistry, followed by fabrication of a dual-functional catalytic-separation membrane (P25/WSB-1@PES) through non-solvent induced phase separation (NIPS) technology. The coupled system achieved exceptional RAN removal efficiency of 96.94 % at ultralow concentration (0.1 mg/L) through membrane retention-electrostatic synergistic enrichment, representing a 6.1-fold enhancement compared to pristine P25. Remarkably, it maintained 86.17 % efficiency in complex water matrices containing multiple anions. Systematic characterization (SEM, XRD, FTIR, XPS, UV–Vis DRS, and transient photocurrent analysis) revealed that C-S-C chemical bonds enabled uniform TiO2 dispersion on WSB, establishing efficient electron transfer channels between P25 and biochar's π-electron system. This configuration enhanced charge separation efficiency by 5.5-fold (photocurrent amplification) and extended light absorption to visible spectrum (bandgap narrowing from 3.25 eV to 2.99 eV). Density functional theory (DFT) calculations combined with radical quenching experiments elucidated an ·O2–-dominated electrophilic attack mechanism. Toxicity assessment demonstrated RAN's significant chronic toxicity to Daphnia (log(ChV) = 0.72), fish (log(ChV) = 1.92), and green algae (log(ChV) = 1.43), while degradation intermediates exhibited toxicity thresholds above safety limits (log(ChV) > 2), confirming complete detoxification. This work provides a novel paradigm for trace pharmaceutical pollutant remediation through click chemistry-derived composites coupled with catalytic-membrane integration technology. © 2025 Elsevier B.V.

关键词： Bond strength (chemical)

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Construction of a Photocatalytic-Membrane Separation Coupled System Via Click Chemistry-Synthesized Tio2/Biochar Composites for Ranitidine Degradation in Water: Mechanisms, Pathways, and Theoretical Calculations

SSRN

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SSRN 2025年

作者： Dai, Weiwen Zhang, Huiqin Zhang, Zixuan Yang, Wanyue Sun, Jinghan Liu, Ying Xia, Min Jang, Qin Hubei Key Laboratory of Environmental Geotechnology and Ecological Remediation for Lake & River Hubei University of Technology Wuhan China Wuhan Optics Valley Environmental Protection Technology Co. Ltd China

Ranitidine (RAN), a widely detected anti-ulcer drug with carcinogenic potential, presents significant environmental challenges due to its persistent occurrence at trace concentrations, high toxicity, and recalcitrance to conventional treatment methods. Although TiO2-based photocatalysis offers a promising approach, practical implementation has been hindered by nanoparticle aggregation, UV-dependent activity, and inefficient low-concentration removal. This study developed a photocatalytic-membrane separation coupled system using TiO2/walnut shell biochar (WSB) composites (P25/WSB-1) synthesized via click chemistry. The formation of C-S-C chemical bonds ensured uniform dispersion of P25 on WSB, while establishing efficient electron transfer channels between P25 and the π-electron system of biochar, resulting in 5-fold enhanced charge separation (photocurrent amplification) and extended visible-light absorption (bandgap narrowing from 3.25 eV to 2.99 eV). The coupled system demonstrated exceptional removal efficiency (96.94% vs. 15.90% for pristine P25) at ultralow concentration (0.1 mg/L) through membrane retention-electrostatic synergistic enrichment, maintaining 86.17% efficiency in complex water matrices containing multiple anions. Density functional theory (DFT) calculations combined with quenching experiments elucidated an O2- dominated electrophilic attack mechanism. Toxicity assessment confirmed detoxification of intermediates. This work provides a viable solution for RAN remediation through click chemistry-derived composites and coupled catalytic-membrane technology. © 2025, The Authors. All rights reserved.

关键词： Detoxification

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