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Evaluation of GOFP over four forest plots using RAMI and UAV measurements

international Journal of Digital Earth 2021年第10期14卷 1433-1451页

作者： Jun Geng Qian Zhang Feng Qiu J.M.Chen Yongguang Zhang Weiliang Fan Lili Tu Jianwei Huang Shaoteng Wang Lichen Xu Jinchao Li School of Civil Engineering Hefei University of TechnologyHefeiPeople’s Republic of China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of TechnologyHefeiPeople’s Republic of China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjingPeople’s Republic of China Max Planck Institute for Biogeochemistry JenaGermany Key Laboratory of Information Perception and Systems for Public Security of MIIT Nanjing University of Science and TechnologyNanjingChina Department of Geography and Program in Planning University of TorontoTorontoCanada School of Geographical Science Fujian Normal UniversityFuzhouPeople’s Republic of China College of Environmental and Resource Science Zhejiang A&F UniversityLinanPeople’s Republic of China School of Resources and Environment Anhui Agricultural UniversityHefeiPeople’s Republic of China

Comparison and validation of canopy reflectance(CR)models are two important steps to ensure their *** forest plantations are an ideal type of forest for validating CR models because of their simple background and the low variance in the crown structures which are usually assumed to be identical in most CR models.A Geometric Optical Model for Forest Plantations(GOFP)was compared using dataset in two radiation transfer model intercomparison exercise(RAMI)stands and validated using in situ dataset of detailed optical and structural data of two forest plantations in the Saihanba Forestry Center,*** results show that(1)the tree distributions in stands described by the hypergeometric model in GOFP show good consistencies with the dataset in the two RAMI stands and measurements from the two Saihanba forest stands;and(2)the CRs simulated with GOFP are also compared well in the two RAMI stands and validated with measurements collected with unmanned aerial vehicles in the two Saihanba *** shows a better consistency with the CR measurements than those from CR models for natual forestsbecause the tree distribution in forest plantations is described more reasonably in GOFP.

关键词： Validation forest plantation GOFP tree distribution BRF hypergeometric model

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Mercury transformation processes in nature: Critical knowledge gaps and perspectives for moving forward

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Journal of environmental sciences 2022年第9期34卷 152-165页

作者： Zhiyuan Gao Wang Zheng Yanbin Li Yurong Liu Mengjie Wu Shouying Li Ping Li Guangliang Liu Xuewu Fu Shuxiao Wang Feiyue Wang Yong Cai Xinbin Feng Baohua Gu Huan Zhong Yongguang Yin Centre for Earth Observation Science and Department of Environment and GeographyUniversity of ManitobaWinnipegMB R3T 2N2Canada Institute of Surface-Earth System Science Tianjin UniversityTianjin 300192China Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education and College of Chemistry and Chemical EngineeringOcean University of ChinaQingdao 266100China State Key Laboratory of Agricultural Microbiology Huazhong Agricultural UniversityWuhan 430070China School of the Environment Nanjing UniversityState Key Laboratory of Pollution Control and Resource ReuseNanjing 210023China State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China Department of Chemistry and Biochemistry Florida International UniversityMiamiFL 33199USA School of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua UniversityBeijing 100084China Environmental Sciences Division Oak Ridge National LaboratoryOak RidgeTennessee 37831USA Environmental and Life Sciences Program(EnLS) Trent UniversityPeterboroughOntario K9L 0G2Canada Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China

The transformation of mercury(Hg) in the environment plays a vital role in the cycling of Hg and its risk to the ecosystem and human health. Of particular importance are Hg oxidation/reduction and methylation/demethylation processes driven or mediated by the dynamics of light, microorganisms, and organic carbon, among others. Advances in understanding those Hg transformation processes determine our capacity of projecting and mitigating Hg risk. Here, we provide a critical analysis of major knowledge gaps in our understanding of Hg transformation in nature, with perspectives on approaches moving forward. Our analysis focuses on Hg transformation processes in the environment, as well as emerging methodology in exploring these processes. Future avenues for improving the understanding of Hg transformation processes to protect ecosystem and human health are also explored.

关键词： Mercury oxidation reduction methylation demethylation isotope fractionation

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Flake-like structure of SrTiO3 nanoparticles dispersed on graphene oxide: A selective and sensitive electrochemical sensor for determination of chloramphenicol in milk and honey samples

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Food Chemistry 2024年 444卷

作者： Sakaleshpur Kumar, Gagankumar Ballur Prasanna, Sanjay Lokesh Marenahalli, Bhuvan Shadakshari, Sandeep Arehalli Shivamurthy, Santhosh Rajabathar, Jothi Ramalingam Chimatahalli Shanthakumar, Karthik Han, Young-Kyu Department of Chemistry SJCE JSS Science and Technology University Karnataka570006 India Department of Energy and Materials Engineering Dongguk University-Seoul Seoul100-715 Korea Republic of Taipei10608 Taiwan International PhD Program for Biomedical Engineering Taipei Medical University 250 Wuxing St Taipei11031 Taiwan N.M.K.R.V. College for Women's Karnataka 560011 India Department of Chemistry College of Science King Saud University P.O. Box. 2455 Riyadh11451 Saudi Arabia

The use of Chloramphenicol (CAP), a potent antibiotic with broad-spectrum capabilities in food-producing animals has been restricted by the European Union and several other countries due to its severe side effects. Thus, CAP must be detected quickly and sensitively. In this investigation, the preparation of SrTiO3 nanoparticles was carried out utilizing a hydrothermal technique. The as-synthesized strontium titanate was decorated on the graphene oxide (SrTiO3/GO) using an ultrasonication method. An electrochemical sensor was developed by employing a modified electrode consisting of SrTiO3/GO, which can accurately detect CAP in food samples. The synergistic effect of SrTiO3 and GO could improve the peak current response. Remarkably, the SrTiO3/GO-modified glassy carbon electrode has a LOD and sensitivity of 6.08 µM nM and 2.771 µA·μM−1·cm−2, respectively. This modified electrode was evaluated in food samples and had an outstanding reaction with a high percentage of recovery, which makes it a potential electrocatalyst for CAP detection. © 2024 Elsevier Ltd

关键词： Titanium compounds

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Correction to: environmental consequences of interacting effects of changes in stratospheric ozone, ultraviolet radiation, and climate: UNEP environmental Effects Assessment Panel, Update 2024 (Photochemical & Photobiological sciences, (2025), 24, 3, (357-392), 10.1007/s43630-025-00687-x)

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Photochemical and Photobiological sciences 2025年第5期24卷 863-865页

作者： Neale, Patrick J. Hylander, Samuel Banaszak, Anastazia T. Häder, Donat-P. Rose, Kevin C. Vione, Davide Wängberg, Sten-Åke Jansen, Marcel A. K. Busquets, Rosa Andersen, Mads P. Sulbæk Madronich, Sasha Hanson, Mark L. Schikowski, Tamara Solomon, Keith R. Sulzberger, Barbara Wallington, Timothy J. Heikkilä, Anu M. Pandey, Krishna K. Andrady, Anthony L. Bruckman, Laura S. White, Christopher C. Zhu, Liping Bernhard, Germar H. Bais, Alkiviadis Aucamp, Pieter J. Chiodo, Gabriel Cordero, Raúl R. Petropavlovskikh, Irina Neale, Rachel E. Olsen, Catherine M. Hales, Simon Lal, Aparna Lingham, Gareth Rhodes, Lesley E. Young, Antony R. Robson, T. Matthew Robinson, Sharon A. Barnes, Paul W. Bornman, Janet F. Harper, Anna B. Lee, Hanna Calderón, Roy Mackenzie Ossola, Rachele Paul, Nigel D. Revell, Laura E. Wang, Qing-Wei Zepp, Richard G. Environmental Research Center Smithsonian Institution EdgewaterMD United States Centre for Ecology and Evolution in Microbial Model Systems Linnaeus University Kalmar Sweden Unidad Académica de Sistemas Arrecifales Universidad Nacional Autónoma de México Puerto Morelos Mexico Erlangen Germany Department of Biological Sciences and Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute TroyNY United States Department of Chemistry University of Turin Turin Italy Department of Marine Sciences University of Gothenburg Gotheburg Sweden School of Biological Earth and Environmental Sciences Environmental Research Institute University College Cork Cork Ireland Chemical and Pharmaceutical Sciences Kingston University London Kingston Upon Thames United Kingdom Civil Environmental & Geomatic Engineering University College London London United Kingdom Department of Chemistry and Biochemistry California State University NorthridgeCA United States Atmospheric Chemistry Observations and Modeling National Center for Atmospheric Research BoulderCO United States USDA UV-B Monitoring and Research Program Colorado State University Fort. CollinsCO United States Department of Environment and Geography University of Manitoba WinnipegMB Canada Working Group Environmental Epidemiology IUF-Leibniz Research Institute for Environmental Medicine Düsseldorf Germany Department of Environment and Health School of Public Health University of Bielefeld Bielefeld Germany School of Environmental Sciences University of Guelph GuelphON Canada Retired From Eawag Swiss Federal Institute of Aquatic Science and Technology Dübendorf Switzerland Center for Sustainable Systems School for Environment and Sustainability University of Michigan Ann ArborMI United States Climate Research Finnish Meteorological Institute Helsinki Finland Indian Academy of Wood Science Bengaluru India Chemical and Biomolecular Engineering North Carolina State University RaleighN

This work is not a product of the U.S. Government or the U.S. environmental Protection Agency, and the author is not doing this work in any governmental capacity. This research was not performed or funded by EPA and was not subject to EPA’s quality system requirements. The views expressed in this journal article are those of the author(s) and do not necessarily represent the views or the policies of the U.S. environmental Protection Agency. The original article has been corrected. © The Author(s), under exclusive licence to the European Photochemistry Association, European Society for Photobiology 2025.

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MiR-1 Is Regulated by Hydrogen Peroxide via MAPK and Limits Cell Migration and Invasion

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environmental Toxicology 2025年 2025 May 16页

作者： Pacurari, Maricica Cox, Irmanecia Farah, Ibrahim Department of Biology College of Science Engineering and Technology Jackson State University JacksonMS United States RCMI Center for Environmental Health College of Science Engineering and Technology Jackson State University JacksonMS United States Environmental Science PhD Program College of Science Engineering and Technology Jackson State University JacksonMS United States

MicroRNA-1 (miR-1) is a conserved microRNA that is highly expressed in skeletal and cardiac muscle tissues. Moreover, miR-1 regulates genes and has critical roles in cell migration and invasion. Downregulation of miR-1 has been found in many pathologies of numerous organs, including the lungs. What exactly contributes to the downregulation of miR-1 is not fully understood, and in the present study, we investigated whether ROS regulate miR-1 and its role in cell migration and invasion. A549 cells were grown and maintained in DMEM:F12 (1:1) and supplemented with 10% FBS and 1000 U of Penicillin/Streptomycin and maintained as recommended by the manufacturer (ATCC). Cell migration and invasion, IHC, Western blot, qPCR, ROS, miR-1 transfection, and qPCR were used to determine miR-1 regulation and its role in cell migration. Exogenous miR-1 decreased the formation of ROS and inhibited cell migration and invasion, whereas inhibition of miR-1 increased ROS formation and stimulated cell migration and invasion. Inhibition of miR-1 induced the formation of actin filaments contractile structures, whereas exogenous miR-1 limited the formation of these structures. Hydrogen peroxide significantly decreased miR-1 level, whereas inhibition of Nox4 had no effect on miR-1 level. Alpha amanitin did not decrease miR-1 level, whereas inhibition of NF-кB temporally decreased miR-1 level. This study demonstrates that ROS suppress miR-1 and that miR-1 is posttranscriptionally regulated via MAPK. Endogenous Nox4-dependent ROS are not involved in miR-1 regulation, whereas exogenous ROS regulates miR-1. NF-κB plays a key role in miR-1 regulation in both redox and nonredox environments. Moreover, Mir-1 limits cell migration and invasion even in the presence of ROS. TSP-1 is a major regulator of TGFβ and its expression is upregulated by ROS. Our work indicates ROS is a major regulator of miR-1 and TSP-1 and could be a potential therapeutic target to limit ROS- and non-ROS-mediated processes in l

关键词： Redox reactions

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Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm

arXiv

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arXiv 2022年

作者： Gagolewski, Marek Bartoszuk, Maciej Cena, Anna Systems Research Institute Polish Academy of Sciences ul. Newelska 6 Warsaw01-447 Poland Faculty of Mathematics and Information Science Warsaw University of Technology ul. Koszykowa 75 Warsaw00-662 Poland International PhD Studies Program Institute of Computer Science Polish Academy of Sciences Poland

The time needed to apply a hierarchical clustering algorithm is most often dominated by the number of computations of a pairwise dissimilarity measure. Such a constraint, for larger data sets, puts at a disadvantage the use of all the classical linkage criteria but the single linkage one. However, it is known that the single linkage clustering algorithm is very sensitive to outliers, produces highly skewed dendrograms, and therefore usually does not reflect the true underlying data structure - unless the clusters are well-separated. To overcome its limitations, we propose a new hierarchical clustering linkage criterion called Genie. Namely, our algorithm links two clusters in such a way that a chosen economic inequity measure (e.g., the Gini- or Bonferroni-index) of the cluster sizes does not increase drastically above a given threshold. The presented benchmarks indicate a high practical usefulness of the introduced method: it most often outperforms the Ward or average linkage in terms of the clustering quality while retaining the single linkage speed. The Genie algorithm is easily parallelizable and thus may be run on multiple threads to speed up its execution further on. Its memory overhead is small: there is no need to precompute the complete distance matrix to perform the computations in order to obtain a desired clustering. It can be applied on arbitrary spaces equipped with a dissimilarity measure, e.g., on real vectors, DNA or protein sequences, images, rankings, informetric data, etc. A reference implementation of the algorithm has been included in the open source genie package for R. [See https://genieclust. gagolewski. com for a new implementation - available for both R and Python.]. © 2022, CC BY.

关键词： Clustering algorithms

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Exploring Residents' Preferences For E-Waste Recycling Scenarios In Vietnam - A Choice Experiment Study

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Singapore Economic Review 2023年第0期

作者： Nguyen, Hong Thi Thu Lee, Chun-Hung Hung, Rern-Jay Faculty of Chemistry University of Danang University of Science and Education 41 Le Duan Road Danang 550000 Viet Nam Department of Natural Resources and Environmental Studies National Dong Hwa University Hualien 97401 Taiwan International Bachelor Degree Program in Finance National Pingtung University of Science and Technology Pingtung 91201 Taiwan

Increasing levels of waste from electrical and electronic devices (e-waste) not only harms human health and the environment but also hampers the achievement of the Sustainable Development Goals (SDGs). In response to such threats, emphasis should be placed on improving waste collection rate, which requires a great deal of resident participation. This research adopts a choice experiment analysis regarding the residents' preferences toward some proposed e-waste recycling services in Vietnam. Using a sample of 531 respondents, the empirical analysis derived from multinomial logit (MNL) models and random parameter logit (RPL) models yields estimates of the residents' willingness to pay for the two modes of e-waste collection and three levels of environmental benefit. The findings pinpoint that residents have preferences for the door-to-door pick-up and the higher percentage of waste reduction and material conservation. Of socio-demographic variables, only age and location are significant factors in the choice of e-waste recycling scenarios in the extended RPL model. Estimations of marginal willingness to pay for future recycling options show that on average residents are willing to pay the additional fees that are equal to 2.620% and 0.173% on top of the new product value per purchase in return for convenience of pick-up collection services and an improved percentage of waste avoided as well as materials recovered, respectively. The findings showing the residents' demand for future e-waste recycling scheme provide crucial information for both government and stakeholders in strategizing implementable and acceptable e-waste recycling policies, thereby progressively achieving the SDGs. © 2023 World Scientific Publishing Company.

关键词： choice experiment e-waste recycling Residents' preferences sustainable development goal 12 Vietnam

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Effect of chemical and biological additives on production of biogas from coffee pulp silage

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Scientific Reports 2023年第1期13卷 1-11页

作者： Getachew, Mengizam Tsegaye Hiruy, Andualem Mekonnen Mazharuddin, Majid Mohiuddin Mamo, Tadios Tesfaye Feseha, Temesgen Aragaw Mekonnen, Yedilfana Setarge Center for Environmental Science College of Natural and Computational Sciences Addis Ababa University Addis Ababa Ethiopia Institute of Atomic and Molecular Sciences Academia Sinica Taipei Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan Institute of Physics Academia Sinica Taipei 11529 Taiwan Department of Chemistry National Taiwan University Taipei 10617 Taiwan

Energy is the foundation of the global economy and is essential to human survival. Nevertheless, more than 60% of it comes from fossil fuels. That is not a replenished and scarce source. However, a sizable amount of organic waste is generated every minute throughout the world and can be used as a raw material to produce renewable energy. Among them, Coffee processing generates a huge amount of solid and liquid waste that is organic and can serve as raw material for biofuel production. Since coffee beans and powder are Ethiopia’s main exports, coffee pulp is easily accessible. Therefore, the main goal of this project is to convert this waste, which largely consists of organic materials, into a valuable product called Methane. The purity and yield of methane productivity are significantly influenced by the type of additives we use. This work systematically investigates the effect of chemical and biological additives on the productivity and purity of the Biogas from the coffee pulp silage in batch systems under mesophilic temperature (38 °C) for different ensiling periods and additive proportions. The chemical additives recorded the maximum biogas production (2980 ml) at an ensiling period of 40 days with high purity of about 70% biogas. The minimum Biogas was recorded at the ensiling period of 10 days by the control (T1) treatments, which was 634 ml. This work proves that biological additives produced the highest quality and quantity of Biogas from coffee silage. © 2023, The Author(s).

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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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Population structure and regeneration of Himalayan endemic Larix species in three high-altitude valleys in Nepal Himalaya

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Journal of Ecology and Environment 2020年第3期44卷 1页

作者： Dhamala, Man Kumar Aryal, Prakash Chandra Suwal, Madan Krishna Bhatta, Sijar Bhuju, Dinesh Raj Central Department of Environmental Science Tribhuvan University Kathmandu Kirtipur Nepal Environmental Science Program GoldenGate International College Battisputali Kathmandu Nepal Environment Protection and Study Center (ENPROSC) Baneshwor Kathmandu Nepal Department of Geography University of Bergen Bergen Norway Nepal Academy of Science and Technology Khumaltar Lalitpur Nepal

Background: The Himalayan forests are of great importance to sustain the nature and community resource demands. These forests are facing pressures both from anthropogenic activities and ongoing global climatic changes. Poor natural regeneration has been considered a major problem in mountainous forests. To understand the population structure and regeneration status of Larix (Larix griffithiana and Larix himalaica), we conducted systematic vegetation surveys in three high-altitude valleys namely Ghunsa (Kanchenjunga Conservation Area, KCA), Langtang (Langtang National Park, LNP), and Tsum (Manaslu Conservation Area, MCA) in Nepal Himalaya. The average values of diameter at breast height (DBH), height, and sapling height were compared for three sites and two species using Kruskal-Wallis test. Population structure was assessed in terms of proportion of seedlings, saplings, and trees. Regeneration was analyzed using graphical representation of frequencies of seedlings, saplings, and trees in histograms. Results: The results showed that the population structure of Larix in terms of the proportion of seedling, sapling, and tree varied greatly in the three study areas. KCA had the highest record of seedling, sapling, and tree compared to other two sites. Seedlings were the least among three forms and many plots were without seedlings. We found no seedling in MCA study plots. The plot level average DBH variation among sites was significant (Kruskal-Wallis χ² = 7.813, df = 2, p = 0.02) as was between species (Kruskal-Wallis χ² = 5.9829, df = 1, p = 0.014). Similarly, the variation in average tree height was significant (Kruskal-Wallis χ² = 134.23, df = 2, p < 0.001) among sites as well as between species (Kruskal-Wallis χ² = 128.01, df = 1, p < 0.001). All the sites showed reverse J-shaped curve but more pronounced for KCA and MCA. In comparing the two species, Larix griffithiana has clear reverse J-shaped diameter distribution but

关键词： Anthropogenic disturbance Climate change Endemic Forest management Subalpine

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