• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Air-quality assessment over the world’s Most Ambitious Project, NEOM in Kingdom of Saudi Arabia

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Air quality_Dasari_2020_IOP_Conf._Ser.__Earth_Environ._Sci._489_012025.pdf
    Size:
    882.7Kb
    Format:
    PDF
    Description:
    Accepted manuscript
    Download
    Type
    Article
    Authors
    Dasari, Hari Prasad cc
    Desamsetti, Srinivas
    Langodan, Sabique cc
    Rama Krishna, L.N.K
    Singh, Shyamcharan
    Hoteit, Ibrahim cc
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Red Sea Research Center (RSRC)
    KAUST Grant Number
    REP/1/3268-01-01
    Date
    2020-05-28
    Permanent link to this record
    http://hdl.handle.net/10754/663053
    
    Metadata
    Show full item record
    Abstract
    NEOM is an under-development transnational city and economic zone spreading over an area of 26,500 sq.km along the northern Red Sea coast of Saudi Arabia, bordering Jordan and Egypt. This work analyzes the meteorological parameters and air pollution dispersion over the NEOM region based on observations and air-quality dispersion modeling. The Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was implemented to simulate air parcel trajectories, as well as transport, dispersion, chemical transformation, and deposition. To drive HYSPLIT, high-resolution meteorological data generated at 600 m resolution by downscaling ECMWF global reanalysis using the Weather Research and Forecasting (WRF) were used. The United Sates Environmental Protection Agency Air Pollutant Emission Factors 42 emission inventory was used to initialize HYSPLIT. A continuous three-year meteorological and air-quality data from WRF-HYSPLIT model is used to analyze the spatial and temporal distributions of air pollutants’ concentration over the NEOM region. Strong land and sea breezes resulting from the differential heating dominates the diurnal dispersion and distribution of pollutants in the NEOM region. The spatial distributions of the mean seasonal ambient air pollution dispersion show similar patterns, with relatively higher concentrations in spring and winter. This is more pronounced in the spatial distributions of the maximum concentrations of different pollutants, which show the maximum concentrations in the spring and winter due to lower boundary layer heights. The predicted maximum concentrations of NOX (~40 mg/m3), SO2 (~25 mg/m3), CO (~10 mg/m3), VOC (~0.05 mg/m3), and PMT (~4 mg/m3) over the study region remain well below the National Air Quality standards recommended by the Saudi General Authority for Meteorology and Environment Protection and the Royal commission. Our analysis provides needed information to understand the state of the air quality over the NEOM region, providing fundamental contribution to the environment impact assessment and planning in the region.
    Citation
    Dasari, H. P., Desamsetti, S., Langodan, S., Rama Krishna, L. N. ., Singh, S., & Hoteit, I. (2020). Air-quality assessment over the world’s Most Ambitious Project, NEOM in Kingdom of Saudi Arabia. IOP Conference Series: Earth and Environmental Science, 489, 012025. doi:10.1088/1755-1315/489/1/012025
    Sponsors
    The study was supported by King Abdullah University of Science and Technology (KAUST) under the “Virtual Red Sea Initiative”, Award Number REP/1/3268-01-01 and the Saudi ARAMCO-KAUST Marine Environmental Research Center (SAKMERC). The research made use of the Supercomputing Laboratory resources at KAUST.
    Publisher
    IOP Publishing
    Journal
    IOP Conference Series: Earth and Environmental Science
    DOI
    10.1088/1755-1315/489/1/012025
    Additional Links
    https://iopscience.iop.org/article/10.1088/1755-1315/489/1/012025
    ae974a485f413a2113503eed53cd6c53
    10.1088/1755-1315/489/1/012025
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC); Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.