IDEAS home Printed from https://ideas.repec.org/a/adp/ijesnr/v7y2017i4p108-116.html
   My bibliography  Save this article

Estimation of Relationship Between Aerosol Optical Depth, PM10 and Visibility in Separation of Synoptic Codes, As Important Parameters in Researches Connected to Aerosols; Using Genetic Algorithm in Yazd

Author

Listed:
  • Mahdi Dehghan
  • Kamal Omidvar
  • Gholamali Mozafari
  • Ahmad Mazidi

    (Department of Geography, University of Yazd, Iran)

Abstract

Aerosol Optical Depth (AOD) is closely related to PM10 (mass concentration of particulate matter with aero dynamical diameter less than 10 μm) and visibility; and all of these three parameters are so important and useful to studies connected to aerosols, troposphere dust, air pollution and atmospheric radiation budget. This study analyzed the mathematic relations between AOD, PM10 and visibility whit separation of 05, 06 and 07 synoptic conditions; whit using evolutional Genetic Algorithm. The area’s case study has been Yazd city as representative of central of Iran for 5 years (2011-2015). The aim of this analysis has been to reach relations that can estimate lack quantities of mentions data parameters from another existence data whit the least error.

Suggested Citation

  • Mahdi Dehghan & Kamal Omidvar & Gholamali Mozafari & Ahmad Mazidi, 2017. "Estimation of Relationship Between Aerosol Optical Depth, PM10 and Visibility in Separation of Synoptic Codes, As Important Parameters in Researches Connected to Aerosols; Using Genetic Algorithm in Y," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 7(4), pages 108-116, December.
  • Handle: RePEc:adp:ijesnr:v:7:y:2017:i:4:p:108-116
    DOI: 10.19080/IJESNR.2017.07.555720
    as

    Download full text from publisher

    File URL: https://juniperpublishers.com/ijesnr/pdf/IJESNR.MS.ID.555720.pdf
    Download Restriction: no

    File URL: https://juniperpublishers.com/ijesnr/IJESNR.MS.ID.555720.php
    Download Restriction: no

    File URL: https://libkey.io/10.19080/IJESNR.2017.07.555720?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2017. "Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction," Energy, Elsevier, vol. 119(C), pages 167-177.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ganjehkaviri, A. & Mohd Jaafar, M.N., 2020. "Multi-objective particle swarm optimization of flat plate solar collector using constructal theory," Energy, Elsevier, vol. 194(C).
    2. Zwickl-Bernhard, Sebastian & Auer, Hans, 2022. "Demystifying natural gas distribution grid decommissioning: An open-source approach to local deep decarbonization of urban neighborhoods," Energy, Elsevier, vol. 238(PB).
    3. Mohammadi, M. & Lakestani, M. & Mohamed, M.H., 2018. "Intelligent parameter optimization of Savonius rotor using Artificial Neural Network and Genetic Algorithm," Energy, Elsevier, vol. 143(C), pages 56-68.
    4. Naserbegi, A. & Aghaie, M. & Minuchehr, A. & Alahyarizadeh, Gh, 2018. "A novel exergy optimization of Bushehr nuclear power plant by gravitational search algorithm (GSA)," Energy, Elsevier, vol. 148(C), pages 373-385.
    5. Zihan Zhang & Wanjiang Wang & Junkang Song & Zhe Wang & Weiyi Wang, 2022. "Multi-Objective Optimization of Ultra-Low Energy Consumption Buildings in Severely Cold Regions Considering Life Cycle Performance," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    6. Chang, Jianxia & Wang, Xiaoyu & Li, Yunyun & Wang, Yimin & Zhang, Hongxue, 2018. "Hydropower plant operation rules optimization response to climate change," Energy, Elsevier, vol. 160(C), pages 886-897.
    7. Paweł Ziółkowski & Marta Drosińska-Komor & Jerzy Głuch & Łukasz Breńkacz, 2023. "Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence," Energies, MDPI, vol. 16(17), pages 1-28, August.
    8. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    9. Wu, Xianguo & Li, Xinyi & Qin, Yawei & Xu, Wen & Liu, Yang, 2023. "Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions," Applied Energy, Elsevier, vol. 339(C).
    10. Velásquez, Laura & Posada, Alejandro & Chica, Edwin, 2023. "Surrogate modeling method for multi-objective optimization of the inlet channel and the basin of a gravitational water vortex hydraulic turbine," Applied Energy, Elsevier, vol. 330(PB).
    11. Zhuo Yao & Ting Zuo & Heng Wei & Hao Liu & Zhixia Li, 2017. "Incorporating Local Road Grades and Times-of-Day Traffic into Vehicle Specific Power Profiling for Urban Freeway Vehicle Emission Estimation," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 7(5), pages 117-127, December.

    More about this item

    Keywords

    earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals ; juniper publishers reivew;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adp:ijesnr:v:7:y:2017:i:4:p:108-116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Robert Thomas (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.