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Degradation of Bisphenol a Using Peroxymonosulfate Activated by Single-Atomic Cobalt Catalysts: Different Reactive Species at Acidic and Alkaline Ph

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SSRN 2022年

作者： Wang, Qi Liu, Cun Zhou, Dongmei Chen, Xiurong Zhang, Meng Lin, Kuangfei State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resource and Environmental Engineering East China University of Science and Technology Shanghai200237 China Key Laboratory of Soil Environment and Pollution Remediation Institute of Soil Science Chinese Academy of Sciences No. 71 East Beijing Road Nanjing210008 China State Key Laboratory of Pollution Control and Resource Reuse School of Environment Nanjing University Nanjing210023 China

Peroxymonosulfate-assisted advanced oxidation processes (PMS-AOPs) catalyzed by single-atom catalysts have become state-of-the-art technologies for environmental remediation. In this study, Cobalt single-atom catalysts supported by graphitic carbon nitride (SA-CoCN) containing Co-N 4 active sites were developed as PMS activators for bisphenol A (BPA) degradation. BPA (10 mg L -1 ) was completely removed with 0.1 g L -1 SA-CoCN and 0.5 mM PMS, and this process was pH-dependent. Instead of the widely recognized generation of free radicals (SO 4 ·– and ‧OH), high-valent cobalt [Co(IV)] and singlet oxygen ( 1 O 2 ) were the predominant reactive species for pollutant degradation under acidic and alkaline conditions, respectively. The conversion of methyl phenyl sulfoxide (PMSO) to methyl phenyl sulfone (PMSO 2 ), electron paramagnetic resonance tests and radical scavenger experiments were used to probe these reactive species. According to density functional theory calculations, the formation of Co(IV) and 1 O 2 was thermodynamically favorable, and the generation pathways of Co(IV) and 1 O 2 were further discussed. This study provides an insight into the single-atom cobalt catalyst/PMS process. © 2022, The Authors. All rights reserved.

关键词： Density functional theory

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A study of the genus Xylotrechus Chevrolat(Coleoptera:Cerambycidae)from Beijing,China

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Entomotaxonomia 2021年第3期43卷 205-224页

作者： Meiying LIN Siqin GE Nengwen XIAO Engineering Research Center for Forest and Grassland Disaster Prevention and Reduction Mianyang Normal UniversityMianyangSichuan 621000China Key Laboratory of Zoological Systematics and Evolution Institute of ZoologyChinese Academy of SciencesBeijing 100101China State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China

Ten species of the genus Xylotrechus Chevrolat,1860 from Beijing are *** pekingensis Pic,1939 is reinstated from synonym of Xylotrechus yanoi Gressitt,1934,and newly recorded from Hebei and Shaanxi *** bifenestratus Pic,1916 is proposed as a new junior synonym of Xylotrechus polyzonus(Fairmaire,1888),both were described from Beijing,*** species,***(Gebler,1825),*** Bates,1873,and ***(Pic,1936),are reported from Beijing for the first *** new localities are added to the related species based on specimens examined.A key to the ten species of Xylotrechus Chevrolat,1860 from Beijing is provided.

关键词： Cerambycinae Clytini taxonomy new synonym new record

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The concentration-dependent physiological damage, oxidative stress, and DNA lesions in Caenorhabditis elegans by subacute exposure to landfill leachate

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Chemosphere 2023年第1期339卷 139544页

作者： Zhu, Manman Zhang, Meng Tang, Mingqi Wang, Jun Liu, Lili Wang, Zhiping State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resource and Environmental Engineering East China University of Science and Technology Shanghai200237 China Institute of Applied Ecology Chinese Academy of Sciences Shenyang110016 China School of Environment Science and Technology Shanghai Jiao Tong University Shanghai200240 China

The leakage of landfill leachate (LL) into environmental media would be happened even in the sanitary/controlled landfill, due to the deterioration of geomembrane and the blockage of drainage system after long-term operation. Considering the complex composition and high concentration of pollutants in LL, its toxicity assessment should be conducted as a whole liquid contaminant. Therefore, the impacts of LL on Caenorhabditis elegans (C. elegans) were investigated under the condition of different exposure time and exposure volume fraction (EVF). The stimulating effects on locomotion behavior and growth of C. elegans were observed after acute (24 h) exposure to LL, which were increased firstly and then decreased with the increase of EVF. Meanwhile, the intestinal barrier was not affected by LL, and levels of reactive oxygen species (ROS) and cell apoptosis significantly decreased. However, stimulation and inhibition effects on locomotion behavior and growth of C. elegans were observed when subacute (72 h) exposure to 0.25%–0.5% and 1%–4% of LL, respectively. The intestinal injury index and levels of ROS and cell apoptosis significantly increased when EVF were 2% and 4%. Although the acute exposure of LL had resulted in obviously biological adaptability and antioxidant defense in C. elegans, the protective mechanisms failed to be induced as the exposure time increased (subacute exposure). The toxic effects were confirmed by the down-regulation of genes associated with antioxidant defense and neurobehavior, accompanied by the up-regulation of intestinal injury and cell apoptosis related genes. Moreover, the disturbance of metabolic pathways that associated with locomotion behaviors, growth, and antioxidant defense provided good supplementary evidence for the confirmation of oxidative stress in C. elegans. The research results verified the potential of C. elegans as model organism to determine the complex toxic effects of LL. © 2023 Elsevier Ltd

关键词： Deterioration

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Plasticity Response Of Desert Shrubs To Extreme Drought Events At Different Phenophases Under the Context of Climate Change

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SSRN 2024年

作者： Wang, Chunyuan Yu, Minghan Ding, Guodong Quan, Zhanjun State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China State Key Laboratory of Environmental Protection for Regional Eco-Process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Institute of Ecology Chinese Research Academy of Environmental Sciences Beijing100012 China Yanchi Research Station School of Soil and Water Conservation Beijing Forestry University Beijing100083 China Key Laboratory of State Forestry Administration on Soil and Water Conservation Beijing Forestry University Beijing100083 China

Desert ecosystems are expected to suffer from extreme drought events with unprecedented frequency and magnitude amidst the current situation of severe droughts and erratic seasonal rainfall induced by global climate change. Against this background, it is essential to elucidate the differences in the plasticity response of typical desert vegetation to extreme drought events at different phenophases for predicting the response of desert ecosystems to climate change. Taking the typical subshrub Artemisia ordosica community in the Mu Us Desert as the research object, this study simulated the extreme drought events via controlling rainfall at the sample plot scale, setting up three extreme drought treatment gradients in phenophases. This paper aimed to investigate the differences in the impacts of extreme drought events at different phenophases on the phenotypic characteristics and functional traits of A. ordosica, as well as the trade-off response mechanism of its twig number and length, and nutrient reproduction allocation to extreme drought events. Results showed that (1) Phenotypic characteristics of A. ordosica decreased significantly under extreme drought events at each phenophase, while the number and length of twigs declined, thereby lowering the accumulation of ANPP;the impacts of the extreme drought events on ANPP accumulation of A. ordosica at each phenophase were as follows: flowering and fruiting stage > sprouting stage > vegetative growth stage. (2) The number and length of twigs of the current year showed a significant positive correlation under extreme drought conditions. (3) A. ordosica would adapt to extreme drought via increasing the proportion of reproductive growth and decreasing the proportion of vegetative growth during both sprouting and vegetative growth stages. This study has demonstrated the varying impacts on phenotypic characteristics and functional traits of A. ordosica by extreme drought at each phenophase, and A. ordosica possesses a plast

关键词： Drought

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Waterbird Diversity and Influencing Factors in Various Types of Coastal Wetlands Around the Bohai Sea

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SSRN 2024年

作者： Mengdi, Fu Chunfei, Hou Jun, Wang Yuanyuan, Zhang Jiade, Bai Key Laboratory of Regional Eco-Process and Function Assessment and State Environment Protection Chinese Research Academy of Environmental Sciences 8 Anwai Dayangfang Chaoyang District Beijing100012 China Center for Biodiversity and Nature Reserve Chinese Academy of Environmental Planning Beijing100041 China Beijing Biodiversity Conservation Research Center Beijing100076 China Beijing Milu Ecological Research Center Beijing100076 China

China's coastal wetlands provide important breeding, migratory stopover and wintering areas for birds in the East Asian-Australasian flyway, and the Bohai Rim wetlands are one of the most important distribution areas for waterbirds. Seventeen coastal wetlands around the Bohai Sea were selected to investigate the diversity of waterbirds, clarify the community composition and its temporal and spatial changes, and analyze the main factors influencing waterbird diversity in different types of coastal wetlands. The results showed that 133 species of waterbirds, representing 18 families from 8 orders, were observed, mainly in the families Scolopacidae, Charadriidae and Laridae. From 2018 to 2023, the species, abundance and diversity of waterbirds fluctuated and increased, while the evenness showed a fluctuating and decreasing trend. PM2.5 and the construction of protected areas were the key factors influencing waterbird diversity, and vegetation cover, macroinvertebrates biodiversity index, population density and temperature were the main factors influencing waterbird diversity. PM2.5 was the most important factor influencing waterbird diversity in estuarine wetlands, followed by population density. Population density and vegetation cover were the most important factors influencing waterbird diversity in island wetlands, followed by the establishment of nature reserves. Population density was the most important factor influencing waterbird diversity in tidal wetlands, followed by the establishment of nature reserves. PM2.5 was the most important factor influencing waterbird diversity in shallow sea wetlands, followed by eutrophication. The results of this study are intended to provide a basis for scientific decision-making and precise policy implementation for the conservation of wetland bird diversity. © 2024, The Authors. All rights reserved.

关键词： Wetlands

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Nontargeted Metabolomic Evidence for Antagonism between Tetracycline and its Resistance Bacteria Underlying Their Obesogenic Effects on Caenorhabditis Elegans

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SSRN 2022年

作者： Li, Zhuo Yu, Zhenyang Cui, Changzheng Yin, Daqiang State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Yangtze River Water Environment Ministry of Education College of Environmental Science and Engineering Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China Jiaxing Tongji Institute for Environment Zhejiang Jiaxing314051 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China

environmental antibiotics raise serious health concerns due to their contribution to the obesity prevalence. Moreover, antibiotics promote antibiotic resistance bacteria (ARB) which represent another emerging pollutant. However, the interaction between antibiotic and ARB in the obesogenic effects remained unexplored. In the present study, the obesogenic effects of tetracycline antibiotic (TCH) and ARB containing tetA were studied on C. elegans, and E. coli OP50 (OP50) was referred as a normal bacterial food. Results showed that TCH stimulated nematode triglyceride contents, while ARB alone had no significant influences. The combination of TCH and ARB showed less obesogenic effects than TCH alone, showing antagonism. Biochemical assays showed that the combination of TCH and ARB showed similar effects to ARB alone, and had less increases in lipid metabolism enzymes or metabolites than those of TCH or ARB alone, supporting the antagonism. In the nontargeted metabolomic analysis, TCH with ARB showed less significantly changed metabolites (SCMs) in the nematodes than TCH or ARB alone, partially explaining the antagonism. The metabolomic results also pointed out the significant involvement of amino acids, the carboxylic acids and derivatives, and also the benzene and substituted derivatives in the obesogenic effects of TCH and ARB. © 2022, The Authors. All rights reserved.

关键词： Antibiotics

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Model bias in calculating factor importance of climate on vegetation growth

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Global and Planetary Change 2023年第1期228卷

作者： Liang, Boyi Liu, Hongyan Wang, Shaopeng Cressey, Elizabeth L. Dahlsjö, Cecilia A.L. Xu, Chongyang Wang, Jia Wang, Zong Liu, Feng Feng, Siwen Shi, Liang Dai, Jingyu Cao, Jing Li, Fufu Quine, Timothy A. College of Forestry Precision Forestry Key Laboratory of Beijing Beijing Forestry University Beijing100083 China College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface Processes Peking University Beijing100871 China Geography College of Life and Environmental Sciences University of Exeter ExeterEX4 4RJ United Kingdom School of Geography and the Environment University of Oxford OxfordOX1 3QY United Kingdom Faculty of Agriculture Food and Environment The Hebrew University of Jerusalem Rehovot7610001 Israel Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China National Ecosystem Science Data Center Beijing100101 China State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China

Machine learning is increasingly used to study vegetation growth, however, more often than not, predicting and simulating functions are prioritized over quantitative estimates of the drivers of vegetation growth such as climate. In this paper, we, for the first time, systematically investigate the model bias in calculating factor importance of climate on vegetation growth, especially when various kinds of machine learning models are considered. We undertake two case studies to simulate research in remote sensing and ground-based scenarios from which the difference in quantitative relationships between climate and vegetation is evaluated across multiple models. We found that model complexity increased the determination coefficient (R2) but reduced the absolute importance of the preselected independent variables. As the fitting accuracy increases, the absolute factor importance of dominant factor and all the other influencing factors decreases simultaneously, and factor importance calculated by different models tended to be more normally distributed across the study region. The reduction in factor importance was accompanied by the increased effect of model selection;e.g. the model that was used to estimate vegetation growth played a larger role in producing the factor importance (shown by variance analysis, remote sensing scenario, F-statistic = 555.2;ground based scenario, F-statistic = 30.8) than the climate variables (variance analysis, remote sensing scenario, F = 460.8;ground based scenario, F = 28.8). Critically, for those machine learning models with highest fitting accuracy, the resultant factor importance of climate factors had smaller difference with that of random factor. In contrast, the relative factor influence among the selected climate factor is more robust and reliable (in variation analysis, model was detected no significant impact on the resultant factor importance). For 5 of 8 models, the dominant factor (temperature) has relative influence over 0.

关键词： Machine learning

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Comparison of denoising multi-algorithms for the MODIS NDVI time-series signal

Comparison of denoising multi-algorithms for the MODIS NDVI ...

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Congress on Image and Signal processing, CISP

作者： GuLa Tang Bao Xiang ShouZhen Liang GuangWen Ma JunQin Wang State Key Laboratory of Resources and Environmental Information Systems Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China LSIIT CNRS UdS Illkirch France Chinese Academy of Sciences Beijing China State Environment Protection key Laboratory of Regional Eco-process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China China National Environmental Monitoring Centre Beijing China Sichuan Provincial Water Conservancy Research Institute Chengdu China

ISBN: (纸本)9781467309653

Cloud clutter is the most important noise in NDVI time series data signal; hence to remove the cloud noise is prerequisite for the normal use of NDVI data. In this paper, the MODIS NDVI data of Second Songhua River Basin and Songhua River Trunk Stream Basin is adopted as the experimental region, to conduct a comparative analysis of noise reduction effect for the HANTS algorithm, the Moving Average method and the Asymmetric Gaussian function fitting method. The results show that the HANTS algorithm and the Asymmetric Gaussian function fitting method can effectively remove the noise, while the denoising effect of the Moving Average method is inferior. In general, the HANTS algorithm can provide the best denoising effect, but the algorithm is more difficult in setting parameters.

关键词： Vegetation mapping Fitting Clouds Time series analysis Noise Noise reduction MODIS

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Nitrogen Addition Enhances Tree Radial Growth But Weakens its Recovery from Drought Impact in a Temperate Forest in Northern China

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SSRN 2023年

作者： Cao, Jing Liu, Hongyan Zhao, Bo Li, Zongshan Liang, Boyi Song, Zhaopeng Shi, Liang Wu, Lu Wang, Qiuming Zhu, Yanpeng Li, Shuang State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China College of Urban and Environmental Science MOE Laboratory for Earth Surface Processes Peking University Beijing100871 China Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Science Chinese Academy of Sciences Beijing China College of Forestry Beijing Key Laboratory of Precise Forestry Institute of GIS RS & GPS Beijing Forestry University Beijing100083 China China Meteorological Administration Training Center Beijing100081 China

Forest growth in most parts of northern China is currently limited by drought and low nitrogen availability. The extreme drought events have increasingly threatened multiple ecosystem services provided by forests. Whether nitrogen addition will have a detrimental/beneficial moderation effect on forest resistance and recovery to extreme droughts was remained unclear. Here, Pinus tabulaeformis is the research object in this study, which is the main artificial forest species in northern China. We investigate the role of climate and nitrogen addition in driving multi-year tree growth with a combination of an 8 year nitrogen addition experiment and 184 tree ring series. An extreme drought event occurred during the experiment, providing an opportunity for us to explore the effects of drought and nitrogen addition on tree resistance and recovery. We found that nitrogen addition is beneficial for increasing the resistance of young trees, but has no effect on old trees. The recovery of trees weakens significantly with increasing nitrogen addition, and the reduction in fine root biomass caused by multiyear nitrogen addition is a key influencing factor of limited recovery after extreme drought. Our study implies that the combined effect of increasing drought and nitrogen deposition might increase the risk of pine forest mortality in northern China. © 2023, The Authors. All rights reserved.

关键词： Recovery

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Diversity characteristic and pollution load of non-point source total nitrogen and total phosphorus in Songhua River Basin

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Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 2011年第SUPPL.2期27卷 163-169页

作者： Ma, Guangwen Wang, Yeyao Xiang, Bao Wang, Jinsheng Wang, Taiming Hu, Yu College of Water Sciences Beijing Normal University Beijing 100875 China Chinese Research Academy of Environmental Sciences Beijing 100012 China China National Environmental Monitoring Centre Beijing 100012 China State Environment Protection Key Laboratory of Regional Eco-Process and Function Assessment Beijing 100012 China

In order to study the diversity characteristic and pollution load of non-point source pollution of nitrogen and phosphorus in the Songhua River, and provide a reference for the water environment management, based on remote sensing (RS) and geographic information system (GIS) technique, using the data of digital elevation model (DEM), county statistics and land use in Songhua River Basin in 2008, the space simulation and load estimation of non-point source pollution in the Songhua River Basin was conducted by export coefficient model (ECM), and the diversity of the non-point source pollution characteristics in the basin was analyzed. The results showed that the non-point source total nitrogen (TN) load was 112.99×104 t and total phosphorus (TP) load was 4.05×104 t in the Songhua River Basin in 2008 respectively. Nenjiang River sub-basin was the maximum load of TN and TP which was 52.80×104 t and 1.79×104 t respectively, accounting for 46.09% and 44.14% of the total TN and TP. The maximum load intensity of TN and TP was the second Songhua River sub-basin which was 2.96 t/(km2·a) and 0.11 t/(km2·a) respectively. From the perspective of non-point sources, 95.92×104 t of TN loads and 3.40×104 t of TP loads were caused by anthropogenic activities, accounting for 83.90% and 83.94% of the total TN and TP respectively. Anthropogenic factor is the key of non-point source TN and TP of the Songhua River, natural causes should not be ignored as well. The results can provide reference for water environment management and overall understanding the non-point source pollution of the Songhua River.

关键词： Geographic information systems

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