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Polyvinyl chloride microplastics and drought co-exposure alter rice growth by affecting metabolomics and proteomics

science of the Total Environment 2024年 955卷 177002页

作者： Khan, Kiran Yasmin Ali, Barkat Ghani, Hafiz Usman Cui, Xiaoqiang Luo, Xiaohan Ali, Zeshan Ahmed, Waqar Tan, Jinglu Lysenko, Vladimir Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Food Science Research Institute National Agricultural Research Centre Islamabad44000 Pakistan Hebei Medical University Shijiazhuang050000 China School of Environmental Science and Engineering/Tianjin Key Lab of Biomass Waste Utilization Tianjin University Tianjin300072 China Ecotoxicology Research Program Institute of Plant and Environmental Protection National Agriculture Research Center Islamabad44000 Pakistan Department of Biomedical Biological & Chemical Engineering University of Missouri ColumbiaMO65211 United States Southern Federal University Academy of Biology and Biotechnology Rostov-on-Don344041 Russia International Joint Research Center for Intelligent Optical Sensing and Applications at Jiangnan University Wuxi214122 China

Microplastics, interacting with drought stress, have become threat to crops by altering soil environment. Currently, the effect of combined microplastic and drought stress on crop growth remain poorly understood. In this work, the mechanism of multi-stress responses was investigated under the exposure of polvinylchloride microplastic (PV) and drought (D) individually and in combination (DPV) on rice varieties Hanyou73 and Q280 through proteomics and metabolomic analysis. All treatments negatively affect chlorophyll content, antioxidant enzyme activities, rice grain composition, metabolome and proteomic profiling of both rice varieties. Full rice grain yield was decreased under all treatments except PV treatment in which it was increased in both rice varieties. DPV treatment shows the lowest grain yield and more adverse effects on metabolome by affecting glycerophospholipid metabolism, tryptophan metabolism and alanine, aspartate and glutamate metabolism. Soluble sugar contents were decreased in H73 but in Q280 increased by 159 % under DPV and 123 % in PV treatment, compared to their control group. The results from metabolomics illustrate that glycerophospholipid metabolism is commonly altered in both rice types under all treatments. PV and drought alone and in combination induce extensive alterations in proteomics of rice leaves especially impacting proteins related to binding, translation and photosynthetic process. The results reveal that PV and DPV treatments highly distort the abundance of metabolites and proteins in both rice types, demonstrating that microplastic toxicity effects on rice plants become more severe when combined with drought stress. © 2024 Elsevier B.V.

关键词： Drought Metabolite Polyvinyl chloride microplastic Protein Rice

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An urbanization monitoring dataset for world cultural heritage in the Belt and Road region

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Big Earth Data 2022年第1期6卷 127-140页

作者： Da Xiao Linlin Lu Xinyuan Wang Vilas Nitivattananon Huadong Guo Wenhua Hui Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Geological Engineering and Geomatics Chang’an UniversityXi’anChina Urban Environmental Management Program School of EnvironmentResources and DevelopmentAsian Institute of TechnologyBangkokThailand

World cultural heritage refers to properties recognized as having historical, social, and anthropological value. Global urbanization has changed the land cover, land use, transportation, landscape, and local environment in cities, and thus exposed World Heritage sites to risks induced by direct or indirect damaging factors. In this paper, an urbanization intensity index (UII) was developed to quantitatively measure urban dynamics in the vicinity of World Heritage sites. This index is based on three global Earth observation datasets, including a global human settlement layer, a global population grid product, and a global nighttime light imagery. Large UII values represent high urbanization levels and intensive human activities in the study area and vice versa. The assessment results show that the mean UII value at 79 world cultural heritage sites in the Belt and Road region increased from 0.26 in 2000 to 0.29 in 2015. The heritage sites were then classified into four types based on the change rates of UIIs. A total of seven heritage sites were identified as exposed to risks due to urban sprawl and infrastructure expansion. The UII dataset can be combined with UNESCO’s periodic reports and site-specific data to provide valuable information for international communities to develop heritage preservation policies.

关键词： Urban sprawl cultural heritage sustainable development goals nighttime light

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Are regional precipitation-productivity relationships robust to decadal-scale dry period?

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Journal of Plant Ecology 2022年第4期15卷 711-720页

作者： Zhongmin Hu Minqi Liang Alan Knapp Jianyang Xia Wenping Yuan School of Geography South China Normal UniversityShipai CampusGuangzhou 510631China College of Ecology and Environment Hainan UniversityHaikou 570228China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Department of Biology and Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Tiantong National Forest Ecosystem Observation and Research Station School of Ecological and Environmental SciencesEast China Normal UniversityShanghai 200062China Institute of Eco-Chongming(IEC) Shanghai 200062China School of Atmospheric Sciences Sun Yat-Sen UniversityGuangzhou 519082China

Precipitation(PPT)is the primary climatic determinant of plant growth and aboveground net primary productivity(ANPP)for many of the world’s major terrestrial ***,relationships between PPT and productivity can provide insight into how changes in climate may alter ecosystem functions *** PPT–ANPP relationships for grasslands are found remarkably similar around the world,but whether and how they change during periods of extended climatic anomalies remain ***,we quantifed how regional-scale PPTANPP relationships vary between an extended wet and a dry period by taking advantage of a 35-year record of PPT and NDVI(as a surrogate for ANPP)at 1700 sites in the temperate grasslands of northern *** found a sharp decrease in the strength of the spatial PPT–ANPP relationship during an 11-year period of below average *** attributed the collapse of this relationship to asynchrony in the responses of different grassland types to this decadal period of increased *** results challenge the robustness of regional PPT–productivity if aridity in grasslands is increased globally by climate change.

关键词： grassland net primary productivity precipitation–productivity relation drought climate change NDVI

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Geochemistry and the optics of geospatial analysis as a preposition of water quality on a macroscale

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environmental science and Pollution Research 2024年第22期31卷 32614-32636页

作者： Lozano, Liliana P. Taleb, Manal F. Abou Ibrahim, Mohamed M. Gonçalves, Janaína O. Neckel, Alcindo Schmitz, Guilherme P. Bodah, Brian William Korcelski, Cleiton Maculan, Laércio Stolfo Silva, Luis F. O. Department of Civil and Environmental Engineering Universidad de La Costa CUC Calle 58 #55-66 Atlántico Barranquilla Colombia Postgraduate Doctoral Program in Society Nature and Development Universidade Federal Do Oeste Do Pará UFOPA Paraná68040-255 Brazil Department of Chemistry College of Science and Humanities in Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia Department of Chemistry College of Science Taif University Taif21944 Saudi Arabia ATITUS Educação RS Passo Fundo30499070-220 Brazil Universidade Do Minho UMINHO Porto4710-057 Portugal Thaines and Bodah Center for Education and Development 840 South Meadowlark Lane OthelloWA99344 United States Workforce Education & amp Applied Baccalaureate Programs Yakima Valley College South 16 Avenue & Nob Hill Boulevard YakimaWA98902 United States CDLAC—Data Collection Laboratory and Scientific Analysis LTDA Porto Alegre90670-090 Brazil

The water treatment depends exclusively on the identification of residues containing toxic chemical elements accumulated in NPs (nanoparticles), and ultrafine particles sourced from waste piles located at old, abandoned sulfuric acid factories containing phosphogypsum requires global attention. The general objective of this study is to quantify and analyze the hazardous chemical elements present in the leachate of waste from deactivated sulfuric acid factories, coupled in NPs and ultrafine particles, in the port region of the city of Imbituba, Santa Catarina, Brazil. Samples were collected in 2020, 2021, and 2022. Corresponding images from the Sentinel-3B OLCI satellite, taken in the same general vicinity, detected the levels of absorption coefficient of Detritus and Gelbstoff (ADG443_NN) in 443 m−1, chlorophyll-a (CHL_NN (m−3)), and total suspended matter (TSM_NN (g m−3) at 72 points on the marine coast of the port region. The results of inductively coupled plasma atomic-emission spectrometry (ICP-AES) and inductively coupled plasma mass spectrometry (ICP-MS) demonstrate that the leaching occurring in waste piles at the port area of Imbituba was the likely source of hazardous chemical elements (e.g., Mg, Sr, Nd, and Pr) in the environment. These leachates were formed due to the presence of coal pyrite and Fe-acid sulfates in said waste piles. The mobility of hazardous chemical elements potentiates changes in the marine ecosystem, in relation to ADG443_NN (m−1), CHL_NN (m−3), and TSM NN (g m−3), with values greater than 20 g m−3 found in 2021 and 2022. This indicated changes in the natural conditions of the marine ecosystem up to 30 km from the coast in the Atlantic Ocean, justifying public initiatives for water treatment on a global scale. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Nanoparticles

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Reconstructing suspended sediment concentrations in the Mekong River Basin via semi-supervised-based deep neural networks

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science of the Total Environment 2024年 955卷 176758页

作者： Nguyen, Thi Thu Ha Vu, Duc Quang Doan, Ngoc Phu Chi, Huynh Thi Khanh Li, Peixin Binh, Doan Van An, Yimeng Dung, Pham Tuan Hoang, Tuan A. Son, Mai Thai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat City Viet Nam

The Mekong River Basin (MRB) is crucial for the livelihoods of over 60 million people across six Southeast Asian countries. Understanding long-term sediment changes is crucial for management and contingency plans, but the sediment concentration data in the MRB are extremely sporadic, making analysis challenging. This study focuses on reconstructing long-term suspended sediment concentration (SSC) data using a novel semi-supervised machine learning (ML) model. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on daily hydroclimate and SSC data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the superior performance of the proposed method compared to the state-of-the-art supervised techniques (i.e., Random Forest, XGBoost, CatBoost, MLP, CNN, and LSTM), and surpasses existing semi-supervised methods (i.e., CoReg, ⊓ Model, ICT, and Mean Teacher). This approach is the first semi-supervised method to reconstruct sediment data in the field and has the potential for broader application in other river systems. © 2024 The Author(s)

关键词： Self-supervised learning

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Novel visible-light-active P-g-CN-based α-Bi2O3/WO3 ternary photocatalysts with a dual Z-scheme heterostructure for the efficient decomposition of refractory ultraviolet filters and environmental hormones: Benzophenones

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environmental Research 2023年 234卷

作者： Berekute, Abiyu Kerebo Yu, Kuo-Pin Chuang, Yi-Hsueh Brad Lin, Kun-Yi Andrew International Ph.D. Program in Environmental Science and Technology National Yang Ming Chiao Tung University Taipei11221 Taiwan Institute of Environmental and Occupational Health Sciences National Yang Ming Chiao Tung University Taipei11221 Taiwan Institute of Environmental Engineering National Yang Ming Chiao Tung University Hsinchu City30010 Taiwan Department of Environmental Engineering and Innovation and Development Center of Sustainable Agriculture & Research Center of Sustainable Energy and Nano Technology National Chung Hsing University 250 Kuo-Kuang Road Taichung Taiwan Department of Chemistry College of Natural and Computational Sciences Arba Minch University Arbaminch Ethiopia

The ubiquitous and refractory benzophenone (BP)-type ultraviolet filters, which are also endocrine disruptors, were commonly detected in the aquatic matrix and could not be efficiently removed by conventional wastewater treatment processes, thus causing extensive concern. Herein, a novel ternary nanocomposite, P-g-CN/α-Bi2O3/WO3 (P-gBW), was successfully fabricated by mixing cocalcinated components and applied to the decomposition of BP-type ultraviolet filters. The dual-Z-scheme heterostructure of P-gBW enhances visible-light absorption, efficiently facilitates separation and mobility, and prolongs the lifetime of photoinduced charge carriers via double charge transfer mechanisms. The optimum 95 wt% P-gBW exhibited excellent photocatalytic activity, degrading 96% 4-hydroxy benzophenone (4HBP) within 150 min and 93% 2,2′,4,4′-tetrahydroxybenzophenone (BP-2) within 100 min under visible-light illumination, respectively. The pseudo-first-order rate constant of 4HBP (1.15 h−1) was 6.8-, 3.1-, 3.3- and 2.2-fold higher than those of WO3, P-g-CN, α-Bi2O3, and P-g-CN/α-Bi2O3, respectively, while that of BP-2 (1.71 h−1) was 5.2-, 2.2-, 3.2- and 1.5-fold higher, respectively. The improved photocatalytic degradation was attributed to efficient photoinduced charge carrier separation and migration and prevented the recombination of electron holes, as verified by photoluminescence, transient photocurrent response, and electrochemical impedance spectroscopy. Trapping experiments, electron paramagnetic resonance, and band energy position indicated an efficient dual-Z-scheme heterostructure. © 2023 Elsevier Inc.

关键词： Tungsten compounds

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Effect of Different Manufacturing Methods on Polyamide Reverse-Osmosis Membranes for Desalination: Insights from Molecular Dynamics Simulations

SSRN

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SSRN 2022年

作者： He, Jinlong McCutcheon, Jeffrey R. Li, Ying Department of Mechanical Engineering University of Connecticut StorrsCT06269 United States Department of Chemical & Biomolecular Engineering Center for Environmental Sciences and Engineering University of Connecticut StorrsCT06269 United States Polymer Program Institute of Materials Science University of Connecticut StorrsCT06269 United States

The industry-leading polyamide (PA) reverse osmosis (RO) membranes can be manufactured via molecular layer-by-layer (mLBL) deposition, interfacial polymerization (IP), and 3D-printing technique. However, the influence of different manufacturing methods on PA membrane’s properties is far from understood. In this study, we present the high-pressure transport behavior of water and salt ions for PA membranes formed with IP, mLBL, and 3D-printing through non-equilibrium molecular dynamics simulations. Studies show that membranes fabricated with 3D-printing have similar performances to those manufactured using mLBL, quantified by water permeability, rejection of salt ions, structural integrity, and porosity features. However, the membranes formed with IP exhibit faster water transport, lower rejection, worse structural integrity, and more inhomogeneous network pores than those constructed using mLBL and 3D-printing. The unconnected water-accessible space governs water transport for PA membranes formed with mLBL and 3D-printing, which offers the impermanent open-closed pores that enable water to jump through PA membranes. In contrast, the permeated water-enterable space plays a prominent role in water movement across the PA membrane formed with IP, providing a continuous transport channel at high pressure. Importantly, we observe the more significant compaction features at high pressure for PA membranes formed with IP than mLBL and 3D-printing. © 2022, The Authors. All rights reserved.

关键词： Polymerization

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Prediction and analysis of atmospheric visibility in five terrain types with artificial intelligence

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Heliyon 2023年第8期9卷 e19281页

作者： Liang, Chen-Wei Chang, Chia-Chun Hsiao, Chun-Yun Liang, Chen-Jui Department of Biomechatronic Engineering National Ilan University Yilan Taiwan Master Program in UAV Application and Smart Agriculture National Ilan University Yilan Taiwan Department of Environmental Engineering and Science Feng Chia University Taichung Taiwan International School of Technology and Management Feng Chia University Taichung Taiwan Artificial Intelligence Technology and Application Bachelor Program Feng Chia University Taichung Taiwan

Scattering visiometers are widely used to measure atmospheric visibility;however, visibility is difficult to measure accurately because the extinction coefficient decays exponentially with visual range according to the Koschmid's law. Moreover, models for predicting visibility are lacking due to the lack of accurate visibility observations to verify. This study formulated an artificial intelligence method for measuring atmospheric visibility in five topographical regions: hills, basins, plains, alluvial plains, and rift valleys. Four air pollution factors and five meteorological factors were selected as independent variables for predicting visibility by using three artificial intelligence models, namely a support vector machine (SVM) model, a multilayer perceptron (MLP) model, and an extreme gradient boosting (XGBoost) model. The GridSearchCV function was used to automatically tune model hyperparameters to determine the optimal parameter values of the three models for the five target areas. The predictions of the aforementioned three models underwent considerable considerably scale shrinking relative to observed values. The inappropriately low predicted visibility values might have been caused by the use of inaccurate observations for training. To solve this problem, formulas of scale ratio and downshift were used to adjust the predicted values. Statistical measurements of model performance measures by five quantitative methods (e.g., correlation coefficient, mean absolute error) showed that adjusted predictions were in strong agreement with the observation data for the five target areas. Therefore, the adjusted prediction has high reliability. Because of obvious differences in the topography, weather, and air quality of the five target areas, different models provided optimal predictions for different areas. In densely populated western Taiwan, the MLP model is most suitable for predicting visibility on hills whereas the XGBoost model is most suitable for predictin

关键词： Air pollutants Extinction coefficient Fog-haze Koschmieder's law Machine learning Terrain effects

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Correction: Polyaniline nanorods dotted on graphene oxide nanosheets as a novel super adsorbent for Cr(VI)

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Dalton transactions (Cambridge, England : 2003) 2022年第1期52卷 2022 Dec 8页

作者： Shouwei Zhang Meiyi Zeng Wenqing Xu Jiaxing Li Jie Li Jinzhang Xu Xiangke Wang Key Laboratory of Novel Thin Film Solar Cells Institute of Plasma Physics Chinese Academy of Sciences 230031 Hefei PR China. lijx@***. School of Materials Science and Engineering Hefei University of Technology Hefei 230031 China. Department of Chemical Engineering Environmental Engineering Program Yale University New Haven Connecticut 06520 USA.

Correction for 'Polyaniline nanorods dotted on graphene oxide nanosheets as a novel super adsorbent for Cr(VI)' by Shouwei Zhang , , 2013, , 7854-7858, https://***/10.1039/C3DT50149C.

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Rare earth elements in sands collected from Southern California sea beaches

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Chemosphere 2023年 344卷 140254页

作者： Saha, Biraj Eliason, Kira Golui, Debasis Masud, Jahangir Bezbaruah, Achintya N. Iskander, Syeed Md Department of Civil Construction and Environmental Engineering North Dakota State University FargoND58102 United States Department of Soil Science and Agricultural Chemistry ICAR-Indian Agricultural Research Institute Pusa Campus New Delhi110 012 India Energy and Environmental Research Center University of North Dakota Grand ForksND58202 United States Materials and Nanotechnology Program North Dakota State University FargoND58108 United States Environmental and Conservation Sciences North Dakota State University FargoND58108 United States

Rare earth elements (REEs) are considered the limiting resources for advancing clean technologies and electronics. Because global REEs reserve is limited, non-conventional and secondary sources are being investigated for recovery. Here, we investigated wet and dry sand from seven Southern California beaches for sixteen REEs. These include five light REEs, two medium REEs, and nine heavy REEs, separated by their atomic weight. The mass of the magnetically separated compounds ranged from 15.19 to 129.91 g per kg of dry sand in the studied sea beaches in Southern California. The total REEs concentration ranged from 1168.1 to 6816.7 μg per kg of wet sand (dry sand basis) and 1474.7–7483.8 μg per kg of dry sand. Cerium (Ce) and Yttrium (Y) were the most prevalent REEs in these beaches ranging from 387.4 to 2241.1 μg kg−1 and 104.5–2302.3 μg kg−1 of sand respectively. This study found light REEs concentration accounted for 70–80% of total rare earth elements in the studied beaches. The concentrations of the analyzed REEs were significantly different (p © 2023 Elsevier Ltd

关键词： Rare earth elements

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