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SSRN 2023年

作者： Fan, Ruiyu Deng, Yamin Du, Yao Cao, Hailong Xie, Xianjun State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution China University of Geosciences Wuhan430078 China School of Environmental Studies China University of Geosciences Wuhan430074 China

Long-term exposure to geogenic arsenic contaminated groundwater poses a severe threat to public health, especially in floodplains of Asia. Predicting arsenic-contamination of groundwater is critical to ensure a safe local water supply. However, it is difficult to predict the spatial distribution of arsenic in floodplain groundwater on a regional scale using surface parameters factors. Generally, elevated arsenic concentrations are more frequently observed in floodplain groundwater with high amounts of ammonium. In this study, extreme gradient boosting algorithm was used to develop a probability model based on easily obtained hydrogeochemical data to explore the feasibility of predicting groundwater arsenic occurrence rates (the percentages of arsenic concentrations higher than 10 μg L−1) in floodplain aquifers. The Shapley additive explanations results indicated that NH4-N, Eh, K+, Cl-, SO42-, and NO3- concentrations were powerful predictors of As exposure in the Jianghan Plain from central Yangtze River Basin. Especially, the model revealed the co-enrichment of As with ammonium, indicating that the mineralization of nitrogen-containing organic matter promoted the reduction of As-containing iron-oxides. The predicted distribution of high-As groundwater was highly consistent with the known spatial distribution of arsenic contamination (86.8% accuracy). Furthermore, we verify the predicted risk in the Jiangbei Plain of the central Yangtze River Basin where the groundwater has not previously been tested for the presence of As, showed that the model accurately predicted As concentrations (90.0% accuracy). Finally, the successful application (average 83.0% accuracy) in typical arsenic-affected in Southeast Asia also confirmed the applicability and credibility of this proposed model in floodplain aquifers. © 2023, The Authors. All rights reserved.

关键词： Aquifers

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Changes in PM2.5 sensitivity to NOx and NH3 emissions due to a large decrease in SO2 emissions from 2013 to 2018

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Atmospheric and Oceanic Science Letters 2020年第3期13卷 210-215页

作者： XU Guangyi ZHANG Qianqian YAO Yu ZHANG Xingying Shenzhen Research Academy of Environmental Science ShenzhenChina National Satellite Meteorological Center China Meteorology AdministrationBeijingChina State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex BeijingChina Department of Atmospheric Sciences University of Illinois at Urbana ChampaignUrbanaILUSA

The authors evaluated and compared the behavior of PM2.5 with respect to NOx and NH3 emission changes in high(the year 2013)and low(the year 2018)SO2 emission *** groups of simulations were conducted based on anthropogenic emissions from China in 2013 and 2018,*** each group of simulations,a respective 25%reduction in NOx and NH3 emissions were assumed.A sensitivity factor(β)was defined as the relative change in PM2.5 concentration due to 1%change in NOx or NH3 *** the high SO2 emissions case,PM2.5 was more sensitive to NH3(0.31)emissions change than NOx(0.21).Due to the significant decrease in SO2 emissions from the high to low SO2 emissions case,the sensitivity of PM2.5 to NOx increased to 0.33,while its sensitivity to NH3 decreased to *** result implies that now and in the future,PM2.5 is/will be less sensitive to NH3 emissions change,while NOx emissions control is more effective in reducing the surface PM2.5 ***,in the low SO2 emissions case,the sensitivities of PM2.5 to NOx and NH3 in winter were higher than those in summer,indicating that to dealwith severewinter hazemore attention should be paid to the emissions control of inorganic PM2.5 precursors,especially NOx.

关键词： SO2 emissions PM2.5 sensitivity to NOx PM2.5 sensitivity to NH3 emissions control strategy

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Metagenomic and Ft-Icr Ms Insights into the Mechanism for the Arsenic Biogeochemical Cycling in Groundwater

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SSRN 2024年

作者： Jiang, Honglin Xie, Xianjun Li, Junxia Jiang, Zhou Pi, Kunfu Wang, Yanxin School of Environmental Studies China University of Geosciences Wuhan430074 China State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution China University of Geosciences Wuhan430078 China

Arsenic (As) is a groundwater contaminant of global concern. The degradation of dissolved organic matter (DOM) can provide a reducing environment for As release;however, the interaction of DOM with local microbial communities and how different sources and types of DOM influence the biotransformation of As in aquifers is uncertain. This study used optical spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry (FTIR-MS), metagenomics, and structural equation modeling (SEM) to demonstrate the how the biotransformation of As in aquifers is promoted. The results indicated the DOM in high-As groundwater is dominated by highly unsaturated low-oxygen compounds that are quite humic and unstable. Metagenomics analysis indicated Acinetobacter, Pseudoxanthomonas, and Pseudomonas predominate in high-As environments;these genera all contain As detoxification genes and are members of the same phylum (Proteobacteria). SEM analyses indicated the presence of Proteobacteria is positively related to highly unsaturated low-oxygen compounds in the groundwater and conditions that promote arsenite release. The results illustrate how the biogeochemical transformation of As in groundwater systems is affected by DOM from different sources and with different characteristics. © 2024, The Authors. All rights reserved.

关键词： Aquifers

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Particulate matter pollution in Kunshan High-Tech zone： source apportionment with trace elements, plume evolution and its monitoring

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Journal of environmental Sciences 2018年第9期30卷 119-126页

作者： Suwei Zhang Qijie Zhang Armand Albergel Didier Buty Liangmin Yu Haiting Wang Wuxia Bi Peng Cheng Fu Chen Jun Fang Ruirui Hou Xudong Luan Changgan Shu Jingjing Su Jiangsu Skyray Instrument Co. Ltd. Kunshan 215300 China ARIA Technologies SA Boulogne-Billancourt 92100 France Kunshan Environment Monitoring Station Kunshan 215300 China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin 300000 China Center for Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin 300000 China Ecole Nationale Superieure des Mines de Douai Douai France Kinton Environmental Technology Co. Ltd. Nanjing 210000 China Chengdu University of Information Science and Technology Chengdu 610000 China Hohai Uniuersity Nanjing 210000 China

Particulate matter （PM} in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecast-warning and source term retrieval system AS3. Hourly measured concentrations of PM10, PM2.5 and 16 trace elements in the PM2.5 section （Ca, Pb, Cu, C1, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba） are focused. source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic, combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%, respectively. Prediction ofptume dispersion from concrete plant and traffic emissions shows that PM20 pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven＇t captured the heaviest pollution plume at the local scale of a few km2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone.

关键词： Particulate matter pollution Trace elements Online pollution monitoring in a industrial zone source apportionment Plume evolution

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controls on Sedimentary Arsenic Accumulation in the Datong Basin: Paleoclimatic Changes Driven by Tectonic Uplift?

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SSRN 2022年

作者： Liu, Wenjing Xie, Xianjun Pi, Kunfu Wang, Yanxin School of Environmental Studies State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Wuhan430074 China State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution Ministry of Ecology and Environment Wuhan430074 China University of Waterloo Canada

The variation of sedimentary As burial has been reported in geological timescales, but detailed pathways controlled by tectonic uplift and climatic evolution are poorly understood. To this end, we reconstructed various tectonic and climatic stages utilizing geochemical indicators and dating data and illustrated the physic-chemical pathways that affect the As accumulation and release. The data showed that three major cyclic climatic changes are observed since the 800 ka and the climatic evolution is a consequence of the relative intensities of East Asian Summer Monsoon (EASM) and East Asian Winter Monsoon (EAWM), which are driven by the uplift of Qinghai-Tibet Plateau (QTP). The higher sedimentary As, Fe and Feclay concentrations are observed in the cold-arid climates and suggest As accumulation is due to strong physical erosion. Moreover, the negative correlations between Feclay, kaolinite and Kao/(It+It/S+C) indicate that illite, chlorite, and illite-smectite mixed layer, which are prevalent in cold-arid climates, enhance Fe-rich clay minerals accumulation and then As burial during the tectonic uplift period. Intense biogeochemical processes prevail and contribute to crystalline Fe enrichment during the tectonic stability period. Therefore, climate shift driven by tectonic uplift alters solid As partitioning in sedimentary basins and potentially yields significant impacts on global As contamination. © 2022, The Authors. All rights reserved.

关键词： Sedimentology

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Effect of Depositional Evolution on Phosphorus Enrichment in Aquifer Sediments of Alluvial-Lacustrine Plain

SSRN

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SSRN 2023年

作者： Liu, Meihui Du, Yao Deng, Yamin Li, Yueping Tao, Yanqiu Gan, Yiqun Ma, Teng State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science China University of Geosciences Wuhan430078 China School of Environmental Studies State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Wuhan430078 China

During depositional evolution, large amounts of phosphorus (P), iron (Fe), and organic matter (OM) are buried in sediments, which further dominate P mobilization in groundwater systems. However, the burial characteristics of P and the effect of depositional evolution on P enrichment in aquifer sediments remain unclear. In this study, aquifer sediments were collected from the Dongting Lake Plain (DTP) within the central Yangtze River Basin, a high P groundwater area, and the effect of depositional evolution on P enrichment was elucidated by comprehensively analyzing the lithology, grain size, geochronology, and geochemistry of the sediments, coupled with groundwater chemistry and sediment incubation experiments. The results showed that the contents of total organic carbon (TOC), iron (Fe), and P (the relative content of BAP) were higher in lacustrine sediments deposited under a warm-wet climate, but lower in fluvial sediments deposited under a cold-dry climate. During depositional evolution, the sedimentary facies mainly controlled the content of OP, while the paleo-climate controlled the content of both OP and Fe-P, which jointly affected total P content in aquifer sediments. Under the interaction of groundwater and sediment, the reductive dissolution of P-rich Fe (oxyhydr)oxides and the mineralization of OP in sediment continuously release P into groundwater. Notebly, the rapid accumulation of alluvial sediments after the Last Glacial Maximum in the DTP and rapid evolution of Dongting Lake during the Holocene led to a large number of OM and P buried in sediments, providing materials for P release in aquifers, which seriously threatens groundwater quality. This exploration can provide a new understanding of the enrichment of geogenic P in groundwater from the perspective of depositional evolution. © 2023, The Authors. All rights reserved.

关键词： Sediments

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Photochemical Reduction of Particle Bound Mercury in Atmospheric Aerosol Water

ACS ES&T Air

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ACS ES&T air 2024年第3期1卷 150-161页

作者： Deming Han Qingru Wu Shuxiao Wang Changlei Xie Jianbo Shi Wang Zheng Jiubin Chen Yi Tang Daiwei Ouyang Boyang Feng Minneng Wen Lei Duan Jiming Hao State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University 100084 Beijing China School of Environment Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences 310000 Hangzhou China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex 100084 Beijing China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences 100085 Beijing China Institute of Surface-Earth System Science School of Earth System Science Tianjin University 300072 Tianjin China

Particle bound mercury (PBM) deposition on the Earth’s surface threatens biota and humans. The photoreduction of PBM competes with deposition and thereby modifies global mercury cycling; yet, its pathway and mechanism remain poorly understood. Herein, we reveal the photoreduction process of PBM by comprehensively using field observation, mercury stable isotope analysis, and controlled experiment. We found the Δ199Hg values in wet haze episodes (0.34‰ ± 0.30‰) were significantly higher than those in clean periods (0.14‰ ± 0.19‰), majorly attributed to the elevated aerosol water content (AWC), which shifts the aerosol phase from the solid state to the liquid state, promoting soluble HgCl2and HgBr2photoreduction reactions. The carboxyl functional groups of water-soluble organic carbon (WSOC) were further identified as the crucial compounds that induce PBM photoreduction, whose reaction rates were ∼2 times higher than those of phenol and ketone ligands and 3–6 times higher than those observed in other atmospheric aqueous phases. Considering the ubiquitously distributed carboxyl ligands and significant positive Δ199Hg signals in the atmospheric aqueous phases, the PBM photoreduction mediated by carboxyl ligands is highlighted to significantly influence global mercury transformations, regional depositions, and isotopic compositions of atmospheric mercury pools.

关键词： Aerosols Cations Ligands Mercury Redox reactions

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Antibiotics and Antimycotics in Waste Water Treatment Plants: Concentrations, Removal Efficiency, Spatial and Temporal Variations, Prediction, and Ecological Risk Assessment

SSRN

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SSRN 2022年

作者： Yang, Yi Ji, Yaqin Gao, Yuzong Lin, Zi Lin, Yu Lu, Yuan Zhang, Liwen College of Environmental Science and Engineering Nankai University Tianjin300350 China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin300350 China

Influent sewage water and treated effluent were collected during three different seasons represented by 19 waste water treatment plants in Tianjin. Analytical protocols were established and the collected samples were then screened for the presence of these selected substances. High performance liquid chromatography tandem mass spectrometry was used to analyze. The detectable rates in influent samples were 22%–100%. The concentration range was nd –547.94 ng/L. For the effluent samples, the detectable rates were 25%–100%. The concentration range was nd–52.97 ng/L. By calculating the removal efficiency, it was found that CIP, OFL and CTR were effectively removed. It concluded that spatial and temporal differences existed with the dry season being significantly higher than the normal and wet seasons, and was characterized by low in the northeast of Tianjin and high in the northwest and southeast. By establishing a data set of Influent and effluent, the priority features were obtained by feature engineering, which were temperature and NH3-N. Under the condition of ensuring the best performance of the models, the influent model with 9 features and the effluent model with 4 features were obtained, and the quantitative relationship between the above features and concentration was obtained through partial dependence analysis. The machine learning models were successfully used to predict the concentration to obtain an ecological risk assessment. By calculation, the RQ values for antibiotics and antimycotics were all less than 0.1, except for MOX, NOR and OFL in the influent samples. Among the effluent samples, only NOR had an RQ value greater than 0.1, and OFL, MOX, and PEF had RQ values between 0.01 and 0.1. Comparing the observations and predictions individual RQ values, the predictions were ideal and matched the observations. This work effectively assessed environmental impact and provided a valuable reference for evaluating antibiotic and antimycotics toxicity. © 2022, Th

关键词： Effluents

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Application of Data Quality Optimization and Machine Learning Techniques to Predict the Dissolved Oxygen Concentration in the Tide-Sensitive Tanjiang River

SSRN

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SSRN 2023年

作者： Liu, Wei Lin, Shu Li, Xiaobao Li, Wenjing Fang, Huaiyang Li, Weijie Deng, Hong School of Environment and Energy Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Resource Recycling South China University of Technology Guangzhou510006 China The Key Laboratory of Water and Air Pollution Control of Guangdong Province State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental Sciences Ministry of Ecology and Environment of the People's Republic of China Guangzhou510535 China

The dissolved oxygen (DO) concentration is an important index for evaluating the quality of the water environment. Here, we constructed three models (SVR, MIC-SVR, and WT-MIC-SVR) based on data quality optimization techniques (the maximum information coefficient (MIC), wavelet transform (WT) data noise reduction) and machine learning techniques (support vector regression (SVR)) to predict the DO concentration in the Tanjiang River (a typical tide-sensitive river in southern China) and establish the optimal model. Specifically, the MIC was used to screen the main environmental factors affecting DO changes, the wavelet transform technique was used for data noise reduction, and a hybrid model was constructed to predict DO concentrations with SVR. The MIC technique can effectively screen the main environmental factors affecting the DO concentration, and the application of the WT technique did not improve the predictive performance of the model. The best performance was achieved by the MIC-SVR model;the RMSE was 4.46% lower and the R2 and NSE were 23.26% and 45.85% higher, respectively, for the MIC-SVR model compared with the SVR model. In addition, study of kernel function selection revealed that considering as many kernel functions as possible is necessary for improving the performance of the SVR model. The main factors affecting the DO changes in different regions (basins) were basically the same as those observed in previous studies;however, the secondary factors differed. Screening of these secondary factors as a supplement to the model input variables can improve the predictive performance of the model to a certain extent. Overall, the proposed MIC-SVR model can be used to analyze the relationship between DO and environmental factors in order to find the main causes of low DO, and accurately predict the DO concentration in the Tanjiang River (especially in its tidally sensitive reaches), thus providing assistance in water environment protection and water resource m

关键词： Forecasting

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Flame-Made High-Capacity and High Efficient Nanomaterial Wo3-Ceox-Cuo/Tio2 for Mercury Adsorption

SSRN

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SSRN 2023年

作者： Sen, Shao Li, Guoliang You, Xiaoqing Wang, Shuxiao Key Laboratory for Thermal Science and Power Engineering Ministry of Education Tsinghua University Beijing100084 China Center for Combustion Energy Tsinghua University Beijing100084 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China

High-concentration mercury capture at high temperatures is a big challenge for cement clinker production during the periodical shutdown period of raw meal mill. This study synthesized nanomaterials WO3-CeOx-CuO/TiO2 for mercury removal by both wet impregnation and flame synthesis. The performance of the synthesized sorbents is evaluated for mercury removal at 450 °C, which is above the typical temperature at raw meal shutdown conditions. It is found that the adsorption efficiency of the flame-synthesized sorbent remains above 95% after 30 days of absorption, while the sorbent synthesized by wet impregnation gets saturated after 50 hours. To understand the adsorption mechanism, the physicochemical properties of the sorbents including surface area, pore volume and average pore diameter, phase composition, morphology, valence states of surface elements are characterized by N2 adsorption isotherm, transmission electron microscope, X-ray diffraction, X-ray photoelectron spectroscopy (XPS) separately. The results show that the flame-synthesized sorbent has a larger specific surface area and smaller primary particle sizes than the sorbent by wet impregnation. In addition, Cu atoms are dispersed in the flame-synthesized sorbent while CuO clusters are supported on CeO2 in the sorbent by wet impregnation. Based on the XPS results, it can be found that the oxidizing species is the adsorbed molecular oxygen from environment for flame-synthesized sorbent but surface active oxygen (Oβ) is consumed for the sorbent synthesized by the impregnation method. © 2023, The Authors. All rights reserved.

关键词： Adsorption

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