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    Environmental Energy & Engineering

    98论文总数
    399引用总数

    论文量&引用量时间轴

    机构学者

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    Sanderine Nonhebel
    Sanderine Nonhebel
    Integrated Research on Energy, Environment and Society, Faculty of Science and Engineering, University of Groningen
    论文:8引用:0H-index:0
    Henri C. Moll
    Henri C. Moll
    Center for Energy and Environmental Studies (IVEM), University of Groningen
    论文:5引用:0H-index:0
    Garry Rumbles
    Garry Rumbles
    Department of Chemistry, College of Arts and Sciences, University of Colorado Boulder;National Renewable Energy Laboratory;Renewable and Sustainable Energy Institute
    论文:5引用:0H-index:0
    Kiyoshi NAGAKURA
    Kiyoshi NAGAKURA
    Environmental Engineerimg Division, Railway Technical Research Institute
    论文:4引用:0H-index:0
    Winnie Gerbens-Leenes
    Winnie Gerbens-Leenes
    University of Groningen
    论文:3引用:0H-index:0
    Rene Benders
    Rene Benders
    University of Groningen
    论文:2引用:0H-index:0
    Rixt Kok
    Rixt Kok
    Center for Energy and Environmental Studies IVEM, University of Groningen
    论文:2引用:0H-index:0
    Moonmoon Hiloidhari
    Moonmoon Hiloidhari
    Energy Conservation Laboratory, Tezpur University
    论文:2引用:0H-index:0
    Klaas Jan Noorman
    Klaas Jan Noorman
    Center for Energy and Environmental Studies, University of Groningen
    论文:2引用:0H-index:0

    论文(98)

    年份
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    1Modeling the Distribution, Impacts, and Mitigation of Anthropogenic Heat in Los Angeles
    Joseph Ko, Hao Hu, Yun Li,Hannah Schlaerth, Stepp Mayes, McKenna Peplinski,Andrew Jin,Dan Li,Pouya Vahmani,Kelly Sanders, George Ban-Weiss, Jiachen Zhang

    Anthropogenic heat emissions from human energy consumption contribute to the urban heat island (UHI) effect, yet their spatiotemporal distributions and impacts remain uncertain. In this study, we develop a 100 m resolution, hourly anthropogenic heat flux (AHF) data set for Los Angeles County and use the Weather Research and Forecasting model to quantify the meteorological impacts of AHF and the heat mitigation potential of electrification and energy efficiency measures. Annual mean AHF across the county was 2.54 W m-2, increasing to 9.65 W m-2 over urban areas, with substantial variability across both space and time. AHF increased urban mean 2 m air temperature by approximately similar to 0.3 degrees C and canopy air temperature by more than 1 degrees C, with localized canopy warming exceeding 4 degrees C in certain neighborhoods. Electrification and energy efficiency measures can substantially mitigate warming caused by AHF, with stronger cooling effects near highways. Under the most aggressive mitigation scenario, these measures offset more than 50% of the AHF-induced warming in both mean 2 m air temperature and canopy air temperature across urban Los Angeles. This study confirms AHF as an important contributor to Los Angeles' UHI and demonstrates that energy-use reductions can provide non-trivial cooling benefits. More broadly, this study highlights the value of coupling high-resolution AHF inventories and meteorological modeling to improve effective heat mitigation planning under future urbanization and climate change.

    2026JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES(2026)
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    2Contents List
    Garry Rumbles

    Permissions Request permissions Contents list Inorg. Chem. Front., 2024, 11, 651 DOI: 10.1039/D4QI90008A This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given. Read more about how to correctly acknowledge RSC content.

    2024Inorganic Chemistry Frontiers(2024)
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    3Contents List
    Yangwen Liu, Guanghuan Li, Huan Li, Sheng Cao, Xia Chen,Xiaoting Zhang, Gang Xiang,Garry Rumbles, Ian Cheong, Yang Liyifan, Csaba Szepesvári, Chunzhen Ni,

    Permissions Request permissions Contents list Nanoscale, 2024, 16, 493 DOI: 10.1039/D4NR90006E This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given. Read more about how to correctly acknowledge RSC content.

    2024Nanoscale(2024)
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    4Contents List
    Garry Rumbles, Fei Yang, Yunong Li, Kecheng Huang, W. Wei, Yan‐Qing Xu,Anup Paul, Rais Ahmad Khan,Gouse M. Shaik, Jilani Purusottapatnam Shaik,Dmytro S. Nesterov, M Fa,

    Permissions Request permissions Contents list New J. Chem., 2024, 48, 2871 DOI: 10.1039/D4NJ90022G This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given. Read more about how to correctly acknowledge RSC content.

    2024New Journal of Chemistry(2024)
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    5Well Log Analysis and Interpretation for Mishrif Formation for Amarah Oil Field
    Ayat Ahmed Jasim,Aqeel Al-Adili, Luma H. Mahmoud, Attia M Attia, Mohamed Mansour

    This study is intended to interpret of well logs for the purpose of determining petrophysical parameters for Mishrif formation in the Amarah Oil Field. This field is situated in the province of Mysan ten kilometers to the southwest of Amarah and ten kilometers to the northwest of Halafaya’s field, and is located southeast of the field of Kamit and about 30 km. M–N cross plot as well as the Matrix Identification (MID) have been applied to calculate mineralogy and lithology of the formation using well logs, cross plots, and reservoir quality index (RQI) along with flow zone indicator (FZI) outputs. The findings indicated that dolomite is just slightly present in the formation, which is primarily composed of calcite. The lithology determination using density–neutron cross plot shows that the formation is primarily limestone with some shale. The interpretation revealed that non-reservoir (barrier) beds divide the seven reservoir units that make up the majority of the Mishrif Formation. The parameters of Archi’s model were calculated using Pickett’s plot. The range values for Archie’s parameters, namely a, m, and n, were found to be 1, 1.29, and 2, respectively.

    2024Russian Journal of Applied Chemistry(2024)
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    合作机构(33)

    国家可再生能源实验室合作论文 5
    莱布尼茨协会合作论文 3
    帝国理工学院合作论文 2
    贾瓦哈拉尔·尼赫鲁大学合作论文 2
    阿德莱德大学合作论文 2
    科罗拉多州立大学博尔德分校合作论文 2
    Management Research Institute合作论文 2
    特普尔大学合作论文 2
    全球发展中心合作论文 1
    伊斯坦布尔技术大学合作论文 1

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