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SSRN 2024年

作者： Wei, Xiaoqian Zhang, Xueyang Jin, Li Yang, Xianli Zou, Weixin Gao, Bin Dong, Lin State Key Laboratory of Pollution Control and Resource Reuse School of Environment School of Chemistry and Chemical Engineering State Key Laboratory of Coordination Chemistry Jiangsu Key Laboratory of Vehicle Emissions Control Nanjing University Nanjing210023 China Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute TroyNY12180 United States Jiangsu Key Laboratory of Industrial Pollution Control and Resource Reuse School of Environmental Engineering Xuzhou University of Technology Xuzhou221018 China School of Chemistry Xi'an Jiaotong University Xi’an710049 China

Biochar is an environmentally friendly material with great potential for carbon capture and storage. As the first of its kind, waste biomass-derived biochar was utilized to convert CO2 into fuel in solar. Herein, among four representatives herbaceous, woody, sludge, and manure wastes, the pine sawdust-derived biochar produced the highest CO assisted by higher CO2 adsorption, more than 10 times higher than that of graphene and activated carbon. The function groups of carbonyl and carboxyl on biochar controlled the CO2 capture and solar conversion by decreasing adsorption and activation energies of CO2 molecules. The biochar performed even better for 15% CO2/N2 atmosphere, a typical CO2 concentration in the flue gas, demonstrating its promising potential in waste gas resource utilization. The life-cycle assessment indicates that feedstock with more cellulose and lignin provide better environmental and economic benefits. The work highlights a sustainability pathway for waste biomass-derived biochar in CO2-to-fuel under ambient conditions. © 2024, The Authors. All rights reserved.

关键词： Carbon dioxide

Molecular Oxygen-Assisted in Defect-Rich ZnO for Catalytic Depolymerization of Polyethylene Terephthalate

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SSRN 2023年

作者： Cao, Jingjing Lin, Yuheng Zhou, Tianpeng Wang, Wei Zhang, Quanxing Pan, Bingcai Jiang, Wei State Key Laboratory of Pollution Control and Resources Reuse National Engineering Research Center for Organic Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210023 China Department of Chemistry Centre for Pharmacy University of Bergen Bergen5007 Norway

Polyethylene terephthalate (PET) as the most production polyester plastics, its waste has a disruptive impact on the environment and ecosystem. Here, we report a catalytic depolymerization of PET into bis(2-hydroxyethyl) terephthalate (BHET) using molecule oxygen (O2)-assisted in defect-rich ZnO. At air, the PET conversion rate, the BHET yield, and the space-time yield are 3.5, 10.6 and 10.6 times higher than those in nitrogen, respectively. Combining structural characterization with the results of DFT calculations, we conclude that the (100) facet of defect-rich ZnO nanosheets conducive to formation of reactive oxygen species (*O2-) and Zn defect, promotes the PET breakage of the ester bond and thus complete the depolymerization processed. This approach demonstrates a sustainable route for PET depolymerization by molecule-assisted defect engineering. © 2023, The Authors. All rights reserved.

关键词： Catalysis

Advancements in Catalysts for Electrochemical Nitrate Reduction: A Sustainable Approach for Mitigating Nitrate pollution: A Review

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Modern Research in Catalysis 2024年第1期13卷 1-28页

作者： Gerald D. S. Quoie Jr. Jean Pierre Bavumiragira Varney Kromah State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and Engineering Tongji University Shanghai China Key Laboratory of Yangtze River Water Environment Ministry of Education Tongji University Shanghai China Department of Mining Engineering College of Engineering University of Liberia Monrovia Liberia

Nitrate pollution is of great importance in both the environmental and health contexts, necessitating the development of efficient mitigation strategies. This review provides a comprehensive analysis of the many catalysts employed in the electrochemical reduction of nitrate to ammonia, and presents a viable environmentally friendly approach to address the issue of nitrate pollution. Hence, the electrochemical transformation of nitrate to ammonia serves the dual purpose of addressing nitrate pollution in water bodies, and is a useful agricultural resource. This review examines a range of catalyst materials such as noble and non-noble metals, metal oxides, carbon-based materials, nitrogen-doped carbon species, metal complexes, and semiconductor photocatalysts. It evaluates catalytic efficiency, selectivity, stability, and overall process optimization. The performance of catalysts is influenced by various factors, including reaction conditions, catalyst structure, loading techniques, and electrode interfaces. Comparative analysis was performed to evaluate the catalytic activity, selectivity, Faradaic efficiency, current density, stability, and durability of the catalysts. This assessment offers significant perspectives on the structural, compositional, and electrochemical characteristics that affect the efficacy of these catalysts, thus informing future investigations and advancements in this domain. In addition to mitigating nitrate pollution, the electrochemical reduction of nitrate to ammonia is in line with sustainable agricultural methods, resource conservation, and the utilization of renewable energy resources. This study explores the factors that affect the catalytic efficiency, provides new opportunities to address nitrate pollution, and promotes the development of sustainable environmental solutions.

关键词： Nitrate pollution Electrochemical Reduction Ammonia Sustainable Farming Catalysts

Removal performance,mechanisms,and influencing factors of biochar for air pollutants:a critical review

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Biochar 2022年第1期4卷 678-701页

作者： Zhipeng Zhao Bing Wang Benny K.G.Theng Xinqing Lee Xueyang Zhang Miao Chen Peng Xu College of Resource and Environmental Engineering Guizhou UniversityGuiyang 550025China Key Laboratory of Karst Georesources and Environment Ministry of EducationGuiyang 550025China Manaaki Whenua-Landcare Research Palmerston NorthNew Zealand State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China Jiangsu Key Laboratory of Industrial Pollution Control and Resource Reuse School of Environmental EngineeringXuzhou University of TechnologyXuzhou 221018China

The emission of air pollutants from various industries is a major contributor to environmental *** removal of these pollutants before they are discharged into the environment has become an important means of controlling air *** has attracted increasing attention because of its low cost,high porosity,large specific surface area,abundant surface functional groups,and high removal *** physicochemical properties of biochar are greatly affected by feedstock types,preparation,and modification *** this reason,the capacity and propensity of biochar for removing air pollutants are rather *** understand the existing research status and grasp the latest research progress,a systematic review on the removal of different air pollutants by biochar is highly *** on the recent research,this paper systematically analyzes and summarizes the preparation and modification methods of biochar commonly used for the removal of six air pollutants(SO_(2),H_(2)S,CO_(2),Hg0,VOCs,and NH_(3)),as well as the removal performance and ***,the potential influencing factors(preparation parameters,physicochemical characteristics of biochar,and removal conditions)are ***,the regeneration of biochar,suggestions,and future perspectives are proposed.

关键词： Biochar Modification Air pollutants Removal performance Removal mechanisms Influencing factors

The Overlooked Role of the Association between 2-Methylisoborneol and Natural Organic Matters in the Nanofiltration Treatment of Authentic Water

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SSRN 2023年

作者： Yang, Hui Li, Lei Li, Junyi Yu, Shuili Gao, Naiyun Togbah, Charles Flomo State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China Shanghai University of Electric Power China

The presence of natural organic matter (NOM) in surface water and its significance for removing pollutants during nanofiltration (NF) are overlooked since most previous studies were conducted in synthetic water rather than real water. In this paper, using raw water collected from Lake Tai (the third largest lake in China), we investigate the removal of 2-methylisoborneol (2-MIB, one of the most concerned off-flavor compounds in raw water) by NF and analyze the binding behaviors between 2-MIB and NOM, which affect their corresponding migration and removal behaviors of 2-MIB during NF. The results show that the removal ratio of 2-MIB in real raw water is 12.2~22.0% higher than that in pure water (PW). Additionally, we evaluate the increment of the removal ratios of 2-MIB under different backgrounds, which follow the order NOM (17.2%~22.0%) > bovine serum albumin (BSA 16.0%~19.1%) > intracellular organic matter (IOM) of M. aeruginosa (8.3%~9.4%) > sodium carboxymethyl cellulose (CMC 3.9%~6.5%) > humic acid (HA 0.28%~0.31%). These findings demonstrate that the protein-like components in raw water play a major role in binding to 2-MIB, while humic-like components exhibit a weak association with 2-MIB. Overall, the conclusion and findings in this study provide a new perspective on the NOM effect on micropollutant removal during water treatment. © 2023, The Authors. All rights reserved.

关键词： Lakes

Establishment of soil moisture model based on hyperspectral data and growth parameters of winter wheat

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International Journal of Agricultural and Biological Engineering 2023年第3期16卷 160-168页

作者： Xizhi Lyu Weimin Xing Yuguo Han Zhigong Peng Baozhong Zhang Muhammad Roman Key Laboratory of State Forestry Administration on Soil and Water Conservation College of Soil and Water ConservationBeijing Forestry UniversityBeijing 100083China Yellow River Institute of Hydraulic Research Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water ResourcesZhengzhou 450003China College of Hydraulic Science and Engineering Yangzhou UniversityYangzhou 225009China Forest Ecosystem Studies National Observation and Research StationJixianShanxi 042200China Key Laboratory of Non-point Source Pollution Control Ministry of Agriculture and Rural AffairsBeijing 100081China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China National Center of Efficient Irrigation Engineering and Technology Research-Beijing Beijing 100048China

Large area of soil moisture status diagnosis based on plant canopy spectral data remains one of the hot spots of agricultural ***,the existing soil water prediction model constructed by the spectral parameters without considering the plant growth process will inevitably increase the prediction *** study carried out research on the correlations among spectral parameters of the canopy of winter wheat,crop growth process,and soil water content,and finally constructed the soil water content prediction model with the growth days *** results showed that the plant water content of winter wheat tended to decrease during the whole growth *** plant water content had the best correlations with the soil water content of the 0-50 cm soil *** different growth stages,even if the soil water content was the same,the plant water content and characteristic spectral reflectance were also ***,the crop growing days parameter was added to the model established by the relationships between characteristic spectral parameters and soil water content to increase the prediction *** is found that the determination coefficient(R^(2))of the models built during the whole growth period was greatly increased,ranging from 0.54 to ***,the model built by OSAVI(Optimized Soil Adjusted Vegetation Index)and Rg/Rr,two of the highest precision characteristic spectral parameters,were selected for model *** correlation between OSAVI and soil water content,Rg/Rr,and soil water content were still significant(p<0.05).The R^(2),MAE,and RMSE validation models were 0.53 and 0.58,3.19 and 2.97,4.76 and 4.41,respectively,which was accurate enough to be applied in a large-area ***,the upper and lower irrigation limit of OSAVI and Rg/Rr were put *** research results could guide the agricultural production of winter wheat in northern China.

关键词： winter wheat canopy spectra growth process soil water content irrigation threshold soil moisture model prediction

The Overlooked Role of the Association between 2-Methylisoborneol and Natural Organic Matters in the Nanofiltration Treatment of Authentic Water

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SSRN 2023年

作者： Yang, Hui Li, Lei Li, Junyi Zhang, Wenjun Yu, Shuili Gao, Naiyun Togbah, Charles Flomo State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China Shanghai University of Electric Power China

The presence of natural organic matter (NOM) in surface water and its significance for removing pollutants during nanofiltration (NF) have been overlooked since most previous studies were conducted in synthetic water rather than real water. In this paper, using raw water collected from Lake Tai (the third largest lake in China), we investigated the removal of 2-methylisoborneol (2-MIB, one of the most concerned off-flavor compounds in raw water) by NF and analyze the binding behaviors between 2-MIB and NOM, which affect their corresponding migration and removal behaviors of 2-MIB during NF. The results showed that the removal ratio of 2-MIB in real raw water was 12.2~22.0% higher than that in pure water (PW). Additionally, we evaluated the increment of the removal ratios of 2-MIB under different backgrounds, which followed the order NOM (17.2%~22.0%) > bovine serum albumin (BSA 16.0%~19.1%) > intracellular organic matter (IOM) of M. aeruginosa (8.3%~9.4%) > sodium carboxymethyl cellulose (CMC 3.9%~6.5%) > humic acid (HA 0.28%~0.31%). These findings demonstrate that the protein-like components in raw water play a major role in binding to 2-MIB, while humic-like components exhibit a weak association with 2-MIB. Overall, the conclusion and findings in this study provide a new perspective on the NOM effect on micropollutant removal during water treatment. © 2023, The Authors. All rights reserved.

关键词： Flavor compounds

Efficient Adsorption of Hydroxychloroquine by Carboxylated Lignin-Based Sponge: Quantification of the Adsorption Contribution of Interactions

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SSRN 2024年

作者： Gao, Boqiang Ma, Shuanglong Liang, Haoge Wang, Jie Huang, Yan Wang, Jingzhen Song, Jia Hu, Pan Yang, Hu College of Resources and Environment Henan Agricultural University Zhengzhou450002 China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210023 China

Hydroxychloroquine (HCQ) as an antiviral pharmaceutical has been widely detected in the aquatic environment. Adsorption is an effective method for removal of HCQ, but the quantitative study of the adsorption interactions is unclear. In this study, a carboxylated lignin-based sponge (PLC) was fabricated, and the adsorption contributions of electrostatic attraction (EA), hydrogen bond (HB), and π-π electron donor-acceptor (π-π EDA) interactions were quantitatively investigated. The results showed that PLC exhibited excellent adsorption performance under wide pH range (4.0 0.822) and three molecular probes (R2 > 0.749) was established, respectively. The optimal adsorption capacity was achieved by the synergistic combination of the deprotonated carboxyl of PLC with the HB of Ka1 amino, EA of Ka2 amino, and the π-π EDA of the quinoline ring. This study provided a new strategy for the quantitative construction of structure-activity relationships of adsorbents. © 2024, The Authors. All rights reserved.

关键词： Lignin

Unneglectable Terrestrial Export of Dissolved Organic Carbon in China

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SSRN 2024年

作者： Yu, Qian Li, Han Ge, Xiaodong Ma, Mingrui Zhao, Wenxin Yang, Jinya Mulder, Jan Zhang, Lei Zhao, Yu Duan, Lei State Key Laboratory of Pollution Control & Resource Reuse School of Environment Nanjing University Jiangsu Nanjing210023 China State Key Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Box 5003 Ås1432 Norway State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University Beijing100084 China China

Transport of dissolved organic carbon (DOC) from land to inland waters is a crucial yet usually overlooked component of carbon budget. Its magnitude and response to global change are poorly quantified due to limited direct observation, especially in China. Here we compiled a database from 462 headwaters across China, primary based on our own observation, and applied a generalized additive model (GAM) to quantify terrestrial DOC export from 2000 to 2020. Our results reveal substantial underestimations in current assessments relying on riverine data. Over this period, terrestrial DOC export averaged 13.4 ± 1.5 Tg C yr−1, accounting for approximately 10% of national net biome productivity (NBP). Projections under SSP2-4.5 and carbon-neutral scenarios suggest an increase to 17.1 Tg C yr−1 in 2060, driven by decreasing atmospheric deposition and rising temperatures. This highlights the importance of considering DOC export in terrestrial carbon sink assessments, particularly as global change continues to evolve. © 2024, The Authors. All rights reserved.

关键词： Carbon sequestration

Clean air captures attention whereas pollution distracts:evidence from brain activities

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Frontiers of Environmental Science & Engineering 2024年第4期18卷 5-15页

作者： Jianxun Yang Yunqi Liu Berry van den Berg Susie Wang Lele Chen Miaomiao Liu Jun Bi State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210023China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing 210044China Nanjing Foreign Language School Nanjing 210008China Department of Experimental Psychology University of GroningenGrote Kruisstraat 2/19712 TSGroningenThe Netherlands Department of Social Psychology University of GroningenGrote Kruisstraat 2/19712 TSGroningenThe Netherlands School of Education Science Nantong UniversityNantong 226019China

Awareness of the adverse impact of air pollution on attention-related performance such as learning and driving is rapidly ***,there is still little known about the underlying neurocognitive *** an adapted dot-probe task paradigm and event-related potential(ERP)technique,we investigated how visual stimuli of air pollution influence the attentional allocation *** were required to make responses to the onset of a target presented at the left or right visual *** probable location of the target was forewarned by a cue(pollution or clean air images),appearing at either the target location(attention-holding trials)or the opposite location(attention-shifting trials).Behavioral measures showed that when cued by pollution images,subjects had higher response accuracy in attention-shifting *** analysis results revealed that after the cue onset,pollution images evoked lower N300 amplitudes,indicating less attentioncapturing effects of dirty *** the target onset,pollution cues were correlated with the higher P300 amplitudes in attention-holding trials but lower amplitudes in attention-shifting *** indicates that after visual exposure to air pollution,people need more neurocognitive resources to maintain attention but less effort to shift attention *** findings provide the first neuroscientific evidence for the distracting effect of air *** conclude with several practical implications and suggest the ERP technique as a promising tool to understand human responses to environmental stressors.

关键词： Air pollution Attention Disengagement Performance Event-related potential