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Land-use analysis of eco fishery tourism using a low-cost drone, the case of Lumpur Island, Sidoarjo District

IOP Conference Series: Earth and environmental science 2018年第1期202卷

作者： Y Prasenja A T Alamsyah D G Bengen Environmental Science Program School of Environmental Science Universitas Indonesia Architectural Engineering Faculty of Engineering Jl. Kampus UI Depok 16424 Indonesia Department of Marine Science and Technology Faculty of Fisheries and Marine Science Jl. Agatis Bogor 16680 Indonesia. Institut Pertanian Bogor

Lumpur Island in Sidoarjo, East Java, is an island formed by mud sedimentation. This island emerged after the Lapindo mud disaster. This study is aimed at mapping the distribution and the extent of mangrove ecosystem as well as potentially, to analyze land use for Eco Fishery Tourism. This research uses technical analysis of aerial photographs using a low-cost drone and satellite images through the process of scattered aerial images and satellite imagery. It shows that Lumpur Island has an area of 85.37 ha, where 70.38 ha of the island was covered by mangrove ecosystem. This island is potentially managed as Eco Fishery Tourism by Land use management based on area mangrove ecosystem, puddle area and pond.

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Correction to: Adsorption and removal of chromium (VI) contained in aqueous solutions using a chitosan-based hydrogel

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environmental science and pollution research international 2019年第28期26卷 28490页

作者： Pâmela Becalli Vilela Amanda Dalalibera Eduardo Costa Duminelli Valter Antonio Becegato Alexandre Tadeu Paulino Postgraduate Program in Environmental Science Santa Catarina State University Av. Luiz de Camões 2090 Conta Dinheiro Lages SC CEP: 88520-000 Brazil. Department of Environmental and Sanitary Engineering Santa Catarina State University Av. Luiz de Camões 2090 Conta Dinheiro Lages SC CEP: 88520-000 Brazil. Postgraduate Program in Environmental Science Santa Catarina State University Av. Luiz de Camões 2090 Conta Dinheiro Lages SC CEP: 88520-000 Brazil. alexandre.paulino@udesc.br. Department of Food and Chemical Engineering Santa Catarina State University BR 282 km 574 Pinhalzinho SC CEP 89870-000 Brazil. alexandre.paulino@udesc.br.

The original publication of this paper contains an error. The correct 4th heading in Table 1 should be "Non-linear sips isotherm". The original article has been corrected.

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Inhibitions of cadmium and combined cadmium-copper on nitrification by attached and suspended growth mixed cultures containing ammonia oxidizing archaea

Inhibitions of cadmium and combined cadmium-copper on nitrif...

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Water Environment Federation Technical Exhibition and Conference 2017, WEFTEC 2017

作者： Roy, Dhritikshama Kasi, Murthy Rongsayamanont, Chaiwat McEvoy, John Khan, Eakalak Environmental and conservation Sciences Program North Dakota State University FargoND58108 United States HDR Inc. BoiseID United States Faculty of Environmental Management Prince of Songkla University Hat Yai Songkhla90112 Thailand Department of Veterinary and Microbiological Science North Dakota State University FargoND58108 United States Department of Civil and Environmental Engineering North Dakota State University FargoND58108 United States

ISBN: (纸本)9781510863682

Nitrification in wastewater treatment plant is often inhibited by the presence heavy metals including copper or cadmium. Inhibition of cadmium and copper on nitrification by ammonia oxidizing-bacteria has been studied. However, that is not the case for ammonia oxidizing archaea (AOA), a key player in nitrification. We investigated the effects of cadmium and combined cadmium-copper on nitrification by AOA in mixed cultures. Mixed cultures containing different fractions of AOA were prepared before inhibition tests were conducted based on specific oxygen uptake rate (sOUR), specific ammonium oxidation rate (sAOR), and abundance of amoA gene of AOA in suspended and attached growth systems. Both individual and combined metal inhibitions based on sOUR and sAOR were low for higher fractions of AOA cultures (>80%), indicating higher tolerance to copper and combined cadmium-copper by AOA. No inhibitory difference was observed between the attached and suspended growth systems suggesting that the inhibitions are independent of mode of growth. Copyright © 2017 Water Environment Federation.

关键词： Copper

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Application of aspen plus for municipal solid waste plasma gasification simulation: case study of Jatibarang Landfill in Semarang Indonesia

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Journal of Physics: Conference Series 2018年第1期1025卷

作者： Ainie Khuriati Purwanto Purwanto Haryono Setiyo Huboyo Suryono Suryono Ari Bawono Putro Doctorate Program of Environmental Science UniversitasDiponegoro Semarang 50241 Indonesia Department of Physics Faculty of Science and Mathematics UniversitasDiponegoro Semarang 50275 Indonesia Department of Chemical Engineering Faculty of Engineering UniversitasDiponegoro Semarang50275 Indonesia Department of Environmental Engineering Faculty of Engineering UniversitasDiponegoro Semarang50275 Indonesia

The objective of this study is to apply the plasma gasification technology for MSW treatment. The gasification model used Gibbs free energy minimization approach using the Lagrange multiplier method. This model was simulated using the Aspen Plus software. The feedstock of plasma gasification was the MSW in Jatibarang landfill. To verify the model, RDF of Minutillo et al., 2009 was tested. Simulation and modeling of plasma gasification was carried out by air, 60% air mixture and steam 40%, air mixture 40% and steam 60%, as plasma gas, respectively. For 1 kg MSW per second yields hydrogen in mole fraction of 32.64%, 36.74%, 38.51%, while for CO was 31.25%, 26.75%, and 23.35%. The efficiency was 45%, 34% and 38% respectively. Efficiency and the highest of carbon monoxide produced were achieved when only air was used as the plasma gas. The addition of steam as the plasma gas increases hydrogen production but reduces carbon monoxide production. The greater the amount of vapor, the more hydrogen is produced.

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A unified theory of grain growth in polycrystalline materials

arXiv

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arXiv 2018年

作者： Hu, Jianfeng Wang, Xianhao Zhang, Junzhan Shen, Zhijian Luo, Jun Luo, Jian School of Materials Science and Engineering Shanghai University Shanghai200444 China Carl Zeiss Co. Shanghai 60 Meiyue road Shanghai200131 China Department of Materials and Environmental Chemistry Arrhenius Laboratory Stockholm University StockholmS-106 91 Sweden College of Materials and Mineral Resources Xi'an University of Architecture and Technology 13 Yanta Road Xi'an710055 China Materials Genome Institute Shanghai University Shanghai200444 China Department of Nano Engineering Program of Materials Science and Engineering University of California San Diego San diegoCA92093 United States

Grain growth is a ubiquitous and fundamental phenomenon observed in the cellular structures with the grain assembly separated by a network of grain boundaries, including metals and ceramics. However, the underlying mechanism of grain growth has remained ambiguous for more than 60 years. The models for grain growth, based on the classically linear relationship between the grain boundary migration and capillary driving force, generally predict normal grain growth. Quantitative model for abnormal grain growth is lacking despite decades of efforts. Here, we present a unified model to reveal quantitatively how grain growth evolves, which predicts the normal, abnormal and stagnant behaviors of grain growth in polycrystalline materials. Our model indicates that the relationship between grain boundary migration and capillary driving force is generally nonlinear, but will switch to be the classically linear relationship in a specific case. Furthermore, the grain growth experiments observed in polycrystalline SrTiO3 demonstrates the validity of the unified model. Our study provides a unified, quantitative model to understand and predict grain growth in polycrystalline materials, and thus offers helpful guides for the microstructural design to optimize the properties of polycrystalline materials. © 2018, CC BY.

关键词： Grain growth

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The existence of microplastic in Asian green mussels

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IOP Conference Series: Earth and environmental science 2018年第1期131卷

作者： A Khoironi S Anggoro Sudarno Doctoral Program Environmental Sciences of Diponegoro University Semarang Indonesia Faculty of Fisheris and Marine Science of Diponegoro University Semarang Indonesia Environmental Engineering Departement of Diponegoro University Semarang Indonesia

Due to resistance of polymer as basic properties of plastic, several studies have been conducted to understand the fate of plastic debris in the marine environment. Degradation is the most important process to control distribution of plastic debris a long the marine environment until the existence of plastic in the food chain. The physical and chemical changes of plastic because of degradation process will lead to the release of polluted substances which eventually more toxic for the environment. Furthermore, when plastic degraded become a microplastic will lead to easy ingested by biotic such as mussell which commonly consumed by humans. The aim of this research was to investigate the concentration of microplastic adsorbed and ingested by mussels considering characteristic of sea water. About 30 samples have been collected from 3 different locations that is brackish water (31 ppb), high salinity (36 ppb) and low salinity (33 ppb) for measuring a number of microplastic in mussels on three different salinity. The result of microstructure analysis by microscope showed that mussel evaluated from the marine environment contaminated by microplastic with average size of 211.163 μm. In high salinity sea water, microplastic found in mussel was greater than low salinity and brackish water. The SEM/EDX analysis showed the presence of SIO2 0.14 % (w/w), Na2O 24.27 %(w/w) and Al2O3 0.27 % (w/w) in the microplastic obtained in the mussel indicating the components which are mostly found in the plastic industries. The amount of microplastic in mussell could be used as pollution indicator in the marine environmental by plastic waste.

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Current findings on terrestrial plants – Engineered nanomaterial interactions: Are plants capable of phytoremediating nanomaterials from soil?

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Current Opinion in environmental science and Health 2018年 6卷 9-15页

作者： Cota-Ruiz, Keni Delgado-Rios, Marcos Martínez-Martínez, Alejandro Núñez-Gastelum, José Alberto Peralta-Videa, Jose Ramon Gardea-Torresdey, Jorge Luis Department of Chemistry The University of Texas at El Paso 500 West University Avenue El Paso 79968 TX United States Departamento de Ciencias Químico Biológicas Instituto de Ciencias Químico Biológicas Universidad Autónoma de Ciudad Juárez Anillo Envolvente del PRONAF y Estocolmo S/n Ciudad Juárez Chihuahua 32310 Mexico El Colegio de Chihuahua Calle Partido Díaz 4723 Esquina con Anillo Envolvente del PRONAF Ciudad Juárez Chihuahua 32310 Mexico Environmental Science and Engineering PhD Program Department of Chemistry The University of Texas at El Paso 500 West University Avenue El Paso 79968 TX United States UC Center for Environmental Implications of Nanotechnology (UC CEIN) The University of Texas at El Paso 500 West University Avenue El Paso 79968 TX United States

Engineered Nanomaterials (ENMs) are revolutionizing our daily lives, industry, and agriculture. Along with their novel applications, major concerns have emerged due to the potential toxicity to biological systems. Since soils are considered the main destination for ENMs, research focused on their interaction with plants is gaining more attention, especially at the physiological and biochemical levels. This review addresses the capacity of some plants to accumulate ENMs or released ions, highlighting the beneficial and detrimental effects and the potential use of some plants to remediate ENM-contaminated environments. Although the uptake process depends on multiple factors, the literature suggests that concentrations <50 mg/kg are beneficial, while higher doses negatively impact physiological and biochemical parameters. However, the current data does not allow the formulation of mechanistic model effects. Finally, this review remarks on the pivotal role played by plants as a sustainable alternative to face the environmental buildup of ENMs and to guarantee food security. © 2018 Elsevier B.V.

关键词： Biotransformation ENM-plant interactions Food security Phytoremediation Risk assessment

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Sustainable Revitalization in Cultural Heritage Kampong Kauman Surakarta Supported by Spatial Analysis

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IOP Conference Series: Earth and environmental science 2018年第1期123卷

作者： M Musyawaroh T S Pitana M Masykuri Nandariyah Doctoral Candidate Study Program of Environmental Science Graduate School of Universitas Sebelas Maret Surakarta Indonesia Study Program of Architecture Faculty of Engineering Universitas Sebelas Maret Surakarta Indonesia Study Program of Environmental Science Graduate School of Universitas Sebelas Maret Surakarta Indonesia Study Program of Agronomy Graduate School of Universitas Sebelas Maret Surakarta Indonesia

Revitalization is a much-needed for a historic kampong as a settlement, place of business, and as tourist destinations. The research was conducted in Kauman as one of the cultural heritage kampong which was formerly as a residence of abdidalemulamaKeraton who also work as batik entrepreneurs. This study aims to formulate a sustainable revitalization step based on the character of the area and the building. Aspects of sustainable revitalization that analyzed are the physical and non-physical condition of the environment. This research is an applied research with qualitative rationalistic approach supported with spatial distribution analysis through satellite imagery and Arch-GIS. The results revealed that sustainable revitalization for Kaumancan be done through: 1) Physical condition of the environment consists of land and building use, green open space, recreational park and sport activities, streets, drainage network, sewer network, the garbage disposal network; 2) Non-physical of the environment consists of economy, heritage socio-cultural, and the engagement of relevant stakeholders. The difference of this study with others is, this study is a continuation of the Kauman revitalization assistance program which involves community participation to produce a more appropriate solution for the problem of kampong.

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Insights from the first flaring activity of a high-synchrotron-peaked blazar with X-ray polarization and VHE gamma rays

arXiv

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arXiv 2024年

作者： Abe, K. S., Abe J., Abhir A., Abhishek V.A., Acciari A., Aguasca-Cabot I., Agudo T., Aniello S., Ansoldi L.A., Antonelli A.A., Engels C., Arcaro K., Asano A., Babić U.B., de Almeida J.A., Barrio L., Barrios-Jiménez I., Batković J., Baxter J.B., González W., Bednarek E., Bernardini J., Bernete A., Berti J., Besenrieder C., Bigongiari A., Biland O., Blanch G., Bonnoli Ž., Bošnjak E., Bronzini I., Burelli A., Campoy-Ordaz A., Carosi R., Carosi M., Carretero-Castrillo A.J., Castro-Tirado D., Cerasole G., Ceribella Y., Chai A., Chilingarian A., Cifuentes E., Colombo J.L., Contreras J., Cortina S., Covino F., D’Ammando G., D’Amico P., Da Vela F., Dazzi A., De Angelis B., De Lotto R., de Menezes M., Delfino J., Delgado C.D., Mendez F., Di Pierro R., Di Tria L., Di Venere A., Dinesh D.D., Prester A., Donini D., Dorner M., Doro L., Eisenberger D., Elsaesser J., Escudero L., Fariña L., Foffano L., Font S., Fröse Y., Fukazawa R.J.G., López M., Garczarczyk S., Gasparyan M., Gaug J.G.G., Paiva N., Giglietto F., Giordano P., Gliwny N., Godinović T., Gradetzke R., Grau D., Green J.G., Green P., Günther D., Hadasch A., Hahn T., Hassan L., Heckmann J.H., Llorente D., Hrupec R., Imazawa D., Israyelyan T., Itokawa I.J., Martínez J.J., Quiles J., Jormanainen S., Kankkunen T., Kayanoki D., Kerszberg M., Khachatryan G.W., Kluge Y., Kobayashi J., Konrad P.M., Kouch H., Kubo J., Kushida M., Láinez A., Lamastra E., Lindfors S., Lombardi F., Longo R., López-Coto M., López-Moya A., López-Oramas S., Loporchio A., Lorini E., Lyard P., Majumdar M., Makariev G., Maneva M., Manganaro S., Mangano K., Mannheim M., Mariotti M., Martínez P., Maruševec A., Mas-Aguilar D., Mazin S., Menchiari S., Mender D., Miceli J.M., Miranda R., Mirzoyan M.M., González E., Molina H.A., Mondal A., Moralejo T., Nakamori C., Nanci V., Neustroev L., Nickel M.N., Rosillo C., Nigro L., Nikolic K., Nilsson K., Nishijima T.N., Ekoume Japanese MAGIC Group Department of Physics Tokai University Kanagawa Hiratsuka259-1292 Japan The University of Tokyo Chiba Kashiwa277-8582 Japan ETH Zürich ZürichCH-8093 Switzerland Università di Siena INFN Pisa SienaI-53100 Italy Barcelona BellaterraE-08193 Spain Universitat de Barcelona ICCUB IEEC-UB BarcelonaE-08028 Spain Instituto de Astrofísica de Andalucía CSIC Glorieta de la Astronomía s/n Granada18008 Spain RomeI-00136 Italy Università di Udine INFN Trieste UdineI-33100 Italy Max-Planck-Institut für Physik GarchingD-85748 Germany Università di Padova INFN PadovaI-35131 Italy Zagreb10000 Croatia URCA RJ Rio de Janeiro22290-180 Brazil IPARCOS Institute EMFTEL Department Universidad Complutense de Madrid MadridE-28040 Spain Instituto de Astrofísica de Canarias Dpto. de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38200 Spain University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz90-236 Poland Centro de Investigaciones Energéticas Medioambientales y Tecnológicas MadridE-28040 Spain Departament de Física CERES-IEEC Universitat Autònoma de Barcelona BellaterraE-08193 Spain Università di Pisa INFN Pisa PisaI-56126 Italy INFN MAGIC Group INFN Sezione di Bari Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari BariI-70125 Italy Armenian MAGIC Group A. Alikhanyan National Science Laboratory Yerevan0036 Armenia Department for Physics and Technology University of Bergen Norway INFN MAGIC Group INFN Sezione di Torino Università degli Studi di Torino TorinoI-10125 Italy Croatian MAGIC Group University of Rijeka Faculty of Physics Rijeka51000 Croatia Universität Würzburg WürzburgD-97074 Germany Technische Universität Dortmund DortmundD-44221 Germany Japanese MAGIC Group Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan ZeuthenD-15738 Germany Armenian MAGIC Gr

Context. Blazars exhibit strong variability across the entire electromagnetic spectrum, including periods of high-flux states commonly dubbed as flares. The physical mechanisms in blazar jets responsible for flares remain to date poorly understood. Aims. We aim to better understand the emission mechanisms during blazar flares using X-ray polarimetry and broadband observations from the archetypical TeV blazar Mrk 421, which can be studied with higher accuracy than other blazars that are dimmer and/or located farther away. Methods. We study a flaring activity from December 2023 that was characterized from radio to very-high-energy (VHE;E > 0.1 TeV) gamma rays with MAGIC, Fermi-LAT, Swift, XMM-Newton and several optical and radio telescopes. These observations included, for the first time for a gamma-ray flare of a blazar, simultaneous X-ray polarization measurements with IXPE, besides optical and radio polarimetry data. We quantify the variability and correlations among the multi-band flux and polarization measurements, and describe the varying broadband emission within a theoretical scenario constrained by the polarization data. Results. We find substantial variability in both X-rays and VHE gamma rays throughout the campaign, with the highest VHE flux above 0.2 TeV occurring during the IXPE observing window, and exceeding twice the flux of the Crab Nebula. However, the VHE and X-ray spectra are on average softer, and the correlation between these two bands weaker that those reported in previous flares of Mrk 421. IXPE reveals an X-ray polarization degree significantly higher than that at radio and optical frequencies, similar to previous results on Mrk 421 and other high-synchrotron-peaked blazars. Differently to past observations, the X-ray polarization angle varies by ∼100◦ on timescales of days, and the polarization degree changes by more than a factor 4. The highest X-ray polarization degree, analyzed in 12 hrs time intervals, reaches 26 ± 2%, around which an X-

关键词： Gamma rays

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Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

arXiv

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arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

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