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Photosynthesis and stress response of coal fly ash on stem elongation in wheat

environmental Science and Pollution Research 2024年第29期31卷 41980-41989页

作者： Wang, Shengpu Hu, Xinpeng Li, Bingbing Zhang, Haojia Xiao, Xin Qian, Ruoxi Huang, Xi School of Environment and Spatial Informatics China University of Mining and Technology 1 Daxue Doad Xuzhou221116 China Fujian RAYSCO Medical Technology Co. LTD. Quanzhou362200 China Department of Mathematical and Computational Sciences University of Toronto TorontoL5B 4P2 Canada

Coal is one of the primary energy sources in China and is widely used for electricity generation. Crops growing in overlapped areas of farmland and coal resources (OAFCR) suffer from coal fly ash stress, especially during stem elongation, which is a key stage that impacts wheat yield and is sensitive to environmental stress. As a primary food crop of China, wheat is essential for food security. However, the characteristics of wheat under the combined stress of fly ash and various heavy metals have not been sufficiently investigated. In this study, we explored the response of stem elongation in wheat to different levels of coal fly ash stress and determined the content of heavy metals (HMs) in wheat leaves. We found that with an increase in fly ash content, the Cu content in the shoots increased, while that in the roots decreased. Coal fly ash exposure reduced the proportions of Pb and Zn in the cytoderm, and the proportion of Cu in the soluble constituents decreased from 58.3% to 45.7%. Total chlorophyll, chlorophyll a, and chlorophyll b levels decreased significantly, whereas peroxidase (POD) and catalase (CAT) activities generally increased with increasing fly ash dose. Meanwhile, chloroplasts, mitochondria, and their internal structures were damaged, and the cell structures of leaves, such as the internal membrane structure, were damaged. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Fly ash

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Inter-satellite link augmented BeiDou-3 orbit determination for precise point positioning

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Chinese Journal of Aeronautics 2022年第4期35卷 332-343页

作者： Liqian ZHAO Xiaogong HU Chengpan TANG Shanshi ZHOU Yueling CAO Qianxin WANG Ranran SU Space Star Technology Co. Ltd.Beijing 100095China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China Beijing Satellite Navigation Center Beijing 100094China

Precise Point Positioning(PPP) requires precise products, including high-accuracy satellite orbit and clock parameters. It is impossible to obtain an orbit solution that is sufficiently accurate for PPP services with a regional tracking network;therefore, satellite orbits are usually estimated by a global tracking network with a large number of ground stations. However, it is expensive to build globally distributed stations. Fortunately, BeiDou-3 satellites carry an InterSatellite Link(ISL) payload, which can track the whole arc of the BeiDou-3 satellites and enhance the orbit determination accuracy with regional ground stations. In this contribution, a novel orbit determination strategy for BeiDou-3 PPP is proposed, in which the BeiDou-3 satellite orbits are enhanced by the ISL. First, the generation of precise satellite products is demonstrated in *** addition, the products are assessed by Satellite Laser Ranging(SLR) residuals and overlap comparisons. Moreover, the products are used for receivers in China's Mainland to carry out the static and kinematic modes to research the PPP performance of Bei Dou-3’s 3IGSO/24MEO *** SLR validations of the satellite orbits demonstrate an accuracy better than 0.1 m in the radial component, and the orbit overlap comparisons show accuracies of 0.016 m in the radial component,0.088 m in the along-track component and 0.087 m in the cross-track component. The Standard Deviation(STD) in the differences in overlapping arcs for the estimated satellite clocks is approximately 0.10 ns. The static PPP results demonstrate that the error in both the horizontal and vertical components is smaller than 10 cm after 30 minutes of convergence. After 24 hours of convergence,the errors are 0.70 cm, 0.63 cm and 1.99 cm for the north, east and up components, *** kinematic PPP experiment illustrates that the Root Mean Square(RMS) position errors in the north, east and up components are approximately 3.23 cm, 5.27 cm a

关键词： BeiDou-3 Clock offsets Convergence Inter-satellite link Precise Point Positioning Regional ground stations Satellite orbits

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Reduction and immobilization of Cr(VI)-contaminated soil using FeSO4 combined with (NH4)2HPO4: the remediation efficiency, mechanisms, and long-term stability

SSRN

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SSRN 2024年

作者： Jiang, Jiachao Chen, Haibo Li, Qunqun Xia, Xu Ma, Jianli Wang, Lizhang Luo, Ping School of Environment and Spatial Informatics China University of Mining and Technology Xuzhou221116 China Tianjin Academy of Environmental Sciences Tianjin300191 China

Cr(VI) pollution in soil can cause significant harm to animals, plants, and humans because of its carcinogenic and genotoxic properties. Ferrous salts are one of the most conventional materials for the remediation of Cr(VI)-contaminated soil. However, the treated soil may undergo a series of reoxidation and migration over time, ultimately deteriorating the long-term effectiveness. This study hence investigated a new combined treatment material, where (NH4)2HPO4 was further added after treatment with FeSO4. The Cr(VI) remediation efficiency, mechanisms, and long-term stability with and without (NH4)2HPO4 were investigated. The Cr(VI) immobilization mechanisms were elucidated using the European Community Bureau of Reference (BCR) sequential extraction procedure, X-ray diffraction (XRD) and X-ray Photoelectron Spectroscopy (XPS). The results suggested that, following the reduction of Cr(VI) to Cr(III) by FeSO4, the presence of (NH4)2HPO4 promoted the formation of residual Cr (CrPO4). At the optimal dose of FeSO4:(NH4)2HPO4:Cr(VI), 5:10:1, 88% of Cr(VI) in soil (450 mg/kg) was reduced, all the HOAC-extractable Cr (58.67%) disappeared, while residual Cr was increased from 6.74% to 50.61%. The H2O2 oxidation and simulated rainfall experiments suggested extra addition of (NH4)2HPO4 significantly inhibited the reoxidation and the leachability of Cr in soil, especially when the rainfall`s SO42-:NO3- ratio was 8:1. The results indicate that the combination of FeSO4 and (NH4)2HPO4 is a promising method for in-situ remediation of Cr(VI)contaminated soil, and is highly recommended for sulfuric acid rain areas. © 2024, The Authors. All rights reserved.

关键词： Iron compounds

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New Top-Down Estimation of Daily Mass and Number Column Density of Black Carbon Driven by Omi and Aeronet Observations

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SSRN 2024年

作者： Liu, Jian Cohen, Jason Blake Yim, Steve Hung-Lam Gupta, Pawan School of Atmospheric Sciences Sun Yat-Sen University Zhuhai China School of Environment and Spatial Informatics China University of Mining and Technology Xuzhou China Asian School of the Environment Nanyang Technological University Singapore HuntsvilleAL35806 United States

This work uses a mixture of observations from surface remote sensing (AERONET) and satellite remote sensing (OMI) to uniquely compute the atmospheric column loading of black carbon (BC) mass (MCD) and number (NCD) on a grid-by-grid, day-by-day basis at 0.25°x0.25° over rapidly developing and biomass burning (BB) impacted regions in South, Southeast, and East Asia. This mixture of observations is uniformly analyzed based on OMI NO2 retrievals, OMI Near UV band AAOD and SSA, and AERONET visible and NIR band SSA observations, in connection with an inversely applied MIE mixing model approach. This method uniquely solves for the unbiased spatial and temporal domains based on variance maximization of daily NO2. These locations in space and time are then used to quantify the distribution of all possible individual particle core and refractory shell sizes as constrained by all band-by-band observations of SSA from AERONET. Finally, the range of NCD and MCD are computed from the constrained range of per-particle core and refractory shell size on a grid-by-grid and day-by-day basis. The maps of MCD and NCD are consistent in space and time with known urban, industrial, and BB sources. The statistical distributions are found to be non-normal, with the region-wide mean, 25th, 50th, and 75th percentile MCD [mg/m2] of 90.3, 56.1, 81.1, and 111 respectively, and NCD [x1012 particles/m2] of 8.76, 4.63, 7.39, and 11.3 respectively. On a grid-by-grid basis, a significant amount of variation is found, particularly over Myanmar, Laos, northern Thailand, and Vietnam, with this subregional mean, 25th, 50th, and 75th MCD [mg/m2] of 90.7, 56.1, 81.3, and 112 respectively and NCD [x1012 particles/m2] of 9.66, 5.49, 8.33, and 12.3 respectively. On a day-to-day basis, events are determined 121 days in 2016, during which the computed statistics of MCD and NCD have mean and uncertainty ranges which scale with each other. However, there are 11 days where the uncertainty ratio of NCD values is lar

关键词： Refractory materials

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Distribution and modes of occurrence of uranium in coals of Eastern Yunnan,China

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International Journal of Coal Science & Technology 2021年第6期8卷 1262-1271页

作者： Xin Wang Qiyan Feng Qingjun Meng Fei Liu Qihang Cao Guijian Liu College of Life Sciences Huaibei Normal UniversityHuaibei 235000China School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China CAS Key Laboratory of Crust-Mantle Materials and the Environments School of Earth and Space SciencesUniversity of Science and Technology of ChinaHefei 230026China

Uranium is an environmentally hazardous element,and is commonly present at trace levels(2.4 μg/g for world coals)in coal ***,selected coal deposits could be highly enriched in *** this study,15 coal samples were collected from Eastern Yunnan coal deposits,China,aiming to characterize the distribution and the occurrence of uranium in those *** studied samples,uranium content varied from 0.36 to 8.28 μg/g,with an average value of 3.76 lg/***,uranium content in coals from northern coal mines(3.02±2.44 μg/g,n=5)were lower than it in southern coal mines(4.13±2.30 μg/g,n=10).Uranium in coal samples showed no obvious correlation with total sulfur,whereas was positively correlated with ash *** results of sequential chemical extraction procedure confirm that organic-bound is the dominant occurrence of *** slight enrichment of uranium in studied coals was probably attributed to sedimentation processes,hydrological conditions and tectonic structure of the coal deposits.

关键词： Coal Uranium Distribution Eastern Yunnan China

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Spatiotemporal dynamics and geo-environmental factors influencing mangrove gross primary productivity during 2000–2020 in Gaoqiao Mangrove Reserve, China

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Forest Ecosystems 2023年第5期10卷 618-634页

作者： Demei Zhao Yinghui Zhang Junjie Wang Jianing Zhen Zhen Shen Kunlun Xiang Haoli Xiang Yongquan Wang Guofeng Wu MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area&Guangdong Key Laboratory of Urban Informatics&Shenzhen Key Laboratory of Spatial Smart Sensing and Services Shenzhen UniversityShenzhen518060China School of Architecture and Urban Planning Shenzhen UniversityShenzhen518060China College of Life Sciences and Oceanography Shenzhen UniversityShenzhen518060China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun130102China Guangdong Ecological Meteorology Center Guangzhou510275China

Background:Mangrove forests are a significant contributor to the global carbon cycle,and the accurate estimation of their gross primary productivity(GPP)is essential for understanding the carbon budget within blue carbon *** attention has been given to the investigation of spatiotemporal patterns and ecological variations within mangrove ecosystems,as well as the quantitative analysis of the influence of geo-environmental factors on time-series estimations of mangrove ***:This study explored the spatiotemporal dynamics of mangrove GPP from 2000 to 2020 in Gaoqiao Mangrove Reserve,China.A leaf area index(LAI)-based light-use efficiency(LUE)model was combined with Landsat data on Google Earth Engine(GEE)to reveal the variations in mangrove GPP using the Mann-Kendall(MK)test and Theil-Sen median ***,the spatiotemporal patterns and ecological variations in mangrove ecosystems across regions were explored using four landscape ***,the effects of six geo-environmental factors(species distribution,offshore distance,elevation,slope,planar curvature and profile curvature)on GPP were investigated using Geodetector and multi-scale geo-weighted regression(MGWR).Results:The results showed that the mangrove forest in the study area experienced an area loss from 766.26 ha in 2000 to 718.29 ha in 2020,mainly due to the conversion to farming,terrestrial forest and aquaculture *** patterns indicated high levels of vegetation aggregation near water bodies and aquaculture zones,and low levels of aggregation but high species diversity and distribution density near building *** mean value of mangrove GPP continuously increased from 6.35 g C⋅m^(-2)⋅d^(-1) in 2000 to 8.33 g C⋅m^(-2)⋅d^(-1) in 2020,with 23.21%of areas showing a highly and significantly increasing trend(trend value>0.50).The Geodetector and MGWR analyses showed that species distribution,offshore distance and elevation contributed most to the GPP variatio

关键词： Mangrove GPP LUE model Geodetector MGWR spatial heterogeneity

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Removal and ecological impact of sulfamethoxazole and N-acetyl sulfamethoxazole in mesocosmic wetlands dominated by submerged plants: Plant tolerance, microbial response, and nitrogen transformation

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Science of the Total environment 2025年 958卷 178034页

作者： Mu, Xiaoying Chen, Congli Fan, Qinya Zhang, Weihang Liu, Fei Guo, Jiaxun Qi, Weixiao Liu, Huijuan Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China School of Environment and Spatial Informatics China University of Mining and Technology Jiangsu Province Xuzhou221116 China Yangtze Eco-Environment Engineering Research Center China Three Gorges Corporation Wuhan430010 China

Sulfamethoxazole (SMX) and its human metabolite N-acetylsulfamethoxazole (N-SMX) are frequently detected in aquatic environments, posing potential threats to freshwater ecosystem health. Constructed wetlands are pivotal for wastewater treatment, with plant species serving as key determinants of pollutant removal efficiency. In this study, wetlands dominated by three submerged plants (Myriophyllum verticillatum, Vallisneria spiralis, Hydrilla verticillata) were respectively constructed to investigate the removal of SMX and N-SMX, and the impact on wetland ecology regarding plant tolerance, microbial response, and nitrogen transformation. Results showed that wetlands removed N-SMX (82.3–99.8 %) more effectively than SMX (54.3–80.2 %), with the wetland dominated by Myriophyllum verticillatum showing the highest removal efficiency. However, high concentrations (5 mg/L) of SMX and N-SMX significantly reduced NH4+-N and TN removal (p © 2024 Elsevier B.V.

关键词： Wastewater treatment

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引用

Journal of Geographical sciences 2022年第4期32卷 589-604页

作者： FENG Huihui DING Ying ZOU Bin COHEN Jason Blake YE Shuchao YANG Zhuolin QIN Kai LIU Lei GU Xiaodong School of Geosciences and Info-Physics Central South UniversityChangsha 410083China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring of Chinese Ministry of Education Changsha 410083China School of Atmospheric Sciences Sun Yat-sen UniversityGuangzhou 510275China School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116JiangsuChina College of Earth and Environmental Sciences Lanzhou UniversityLanzhou 730000China Guangzhou Center for Rule of Green Development Law Studies Guangdong University of Foreign StudiesGuangzhou 510420China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China

Vegetation plays an important role in the dry deposition of particles with significant spatial variability,but the magnitude remains unclear at the global *** the aid of satellite products,this study estimated the vegetation-related dry deposition of fine particulate matter(PM_(2.5)).Methodologically,dry deposition was first calculated using an empirical ***,deposition on the leaf surface was estimated to evaluate the influence of *** results showed that the mean deposition velocity(V_(d))of global PM_(2.5)was 0.91×10^(-3)μg·m^(-2)·s^(-1),with high velocities observed in sparsely vegetated regions because of the high friction *** the combined effect of the PM_(2.5)mass concentration and deposition velocity,the global mean dry deposition reached 0.47 g·m-^(2)·yr^(-1).Global vegetation absorbed 0.26 g·m-^(2)·yr^(-1)from PM_(2.5)pollution sources,contributing 54.98%of the total dry ***,vegetation-related dry deposition was high in the Amazon,Central Africa and East China due to dense vegetation coverage or serious ***,the increasing trends were mainly in Central Africa and India because of worsening air *** results of this study helped to clarify the impact of vegetation on air pollution,which supported related land management and planning for air quality improvement.

关键词： air pollution PM_(2.5) dry deposition vegetation change globe satellite

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Reconstructed Nile River Basin's Precipitation-Driven Water Storage Changes (1923-2022) and its Suitability for Climate Variability Studies

SSRN

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SSRN 2024年

作者： Wang, Jielong Awange, Joseph Shen, Yunzhong Yang, Ling Feng, Tengfei Song, Yongze College of Surveying and Geo-informatics Tongji University Shanghai200092 China School of Earth and Planetary Sciences Spatial Sciences Discipline Curtin University PerthWA Australia School of Design and the Built Environment Curtin University GPO Box U1987 PerthWA6845 Australia

Understanding total water storage (TWS) changes within the Nile River Basin (NRB) is pivotal for its effective water resource management. While the Gravity Recovery And Climate Experiment (GRACE) and its follow on (GRACE-FO) missions offer valuable observations to monitor regional as well as global TWS dynamics, their relatively short record constrains our ability to study the complete range and long-term variability of the NRB’s TWS changes. A deep learning model, RecNet, is employed in this study to reconstruct precipitation-driven TWS changes in the NRB from 1923 to 2022. The reconstructed data are validated by comparison with those of GRACE, the Global Land Data Assimilation System (GLDAS), and the WaterGAP Global Hydrology Model (WGHM). Subsequently, we assess the suitability of the reconstructed data for climate variability studies by examining its coherence with two NRB’s dominant climate variability patterns: El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). Dividing the NRB into four sub-regions (i.e., the Lake Victoria Basin (LVB), the Bahr el Jebel and Bahr el Ghazal basins (BJBG), Ethiopian Highlands region (EH), and the lower Nile River Basin (LNRB)), we show that the RecNet model successfully reconstructs the precipitation-driven TWS changes over BJBG/EH, showing strong correlations with GRACE (a correlation of 0.94/0.96), GLDAS (0.86/0.83), and WGHM (0.81/0.86). Wavelet coherence analysis identifies significant coherence between the climate patterns and the reconstructed TWS changes in BJBG and EH, indicating the significance of the reconstructed data for assessing long-term climate variability studies within the NRB. The reconstructed datasets could provide crucial insight for decision-makers and stakeholders, aiding understanding of the water cycle within the NRB while addressing potential adverse effects in the context of climate variability/change. © 2024, The Authors. All rights reserved.

关键词： Atmospheric pressure

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A novel generative adversarial network and downscaling scheme for GRACE/GRACE-FO products: Exemplified by the Yangtze and Nile River Basins

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Science of the Total environment 2025年 969卷 178874页

作者： Wang, Jielong Shen, Yunzhong Awange, Joseph Tabatabaeiasl, Maryam Song, Yongze Liu, Chang College of Surveying and Geo-informatics Tongji University Shanghai200092 China School of Earth and Planetary Sciences Spatial Sciences Discipline Curtin University PerthWA Australia Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic University Hong Kong School of Design and the Built Environment Curtin University GPO Box U1987 PerthWA6845 Australia Senseable City Lab Massachusetts Institute of Technology CambridgeMA United States

The coarse spatial resolution of about 300 km in Total Water Storage Anomalies (TWSA) data from the Gravity Recovery And Climate Experiment (GRACE) and its follow-on (GRACE-FO, hereafter GRACE) missions presents significant challenges for local water resource management. Previous approaches to addressing this issue through statistical downscaling have been limited by the reliance on the scale-invariance assumption, residual correction, hydrological models, and a lack of consideration for spatial correlations among the TWSA grids. This study introduces the DownGAN generative adversarial network, which downscales GRACE TWSA to 25 km, as exemplified in the Yangtze River Basin (YRB) and the Nile River Basin (NRB). Additionally, we propose a novel downscaling scheme to address the above limitations. DownGAN receives static and dynamic variables as inputs while considering their potential time-delay effects. The downscaled TWSA is validated using a synthetic example, in-situ runoff, groundwater levels, and two hydrological models. The potential benefits of the downscaled TWSA in closing the water balance budget and monitoring hydrological droughts in the YRB and NRB are explored. The synthetic example indicates that DownGAN trained using the proposed downscaling scheme can downscale the YRB and NRB's TWSA from 1° to 0.5° and 0.25°, respectively. DownGAN outperforms RecNet, a fully convolutional neural network, producing continuous, consistent, and realistic downscaled TWSA. The downscaled TWSA exhibits high correlations with the runoff and groundwater levels in the YRB and NRB, respectively. In addition, DownGAN demonstrates better performance in closing the water balance budget and monitoring drought events in both the YRB and NRB than HR GRACE mascon products, as evidenced by its higher correlations with the total water storage changes derived from the water balance equation and two drought indices, respectively. DownGAN is adaptable to other downscaling tasks and regio

关键词： Budget control

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