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    Bayesian Chemical Mass Balance Method for Surface Water Contaminant Source Apportionment 

    Source: Journal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 002
    Author(s): Arash Massoudieh; Masoud Kayhanian
    Publisher: American Society of Civil Engineers
    Abstract: A Bayesian chemical mass balance (CMB) source apportionment method is developed using the Markov Chain Monte Carlo (MCMC) approach. Compared with deterministic approaches, the Bayesian method is capable of accounting for ...
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    Measured and Predicted Herbicide Removal by Mulch 

    Source: Journal of Environmental Engineering:;2006:;Volume ( 132 ):;issue: 008
    Author(s): Xinjiang Huang; Arash Massoudieh; Thomas M. Young
    Publisher: American Society of Civil Engineers
    Abstract: The removal of the herbicides diuron, isoxaben, oryzalin, and clopyralid by shredded cedar mulch was studied in laboratory batch and column experiments. The distribution coefficients
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    Modeling Fate and Transport of Roadside-Applied Herbicides 

    Source: Journal of Environmental Engineering:;2005:;Volume ( 131 ):;issue: 007
    Author(s): Arash Massoudieh; Xinjiang Huang; Thomas M. Young; Miguel A. Mariño
    Publisher: American Society of Civil Engineers
    Abstract: A physically based, one-dimensional, mathematical model is developed to simulate transport of herbicides applied to roadsides into adjacent surface water. Herbicide transport by overland flow, infiltrating water, and ...
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    Modeling and Design Scenario Analysis of Long-Term Monitored Bioretention System for Rainfall-Runoff Reduction to Combined Sewer in Cincinnati, OH 

    Source: Journal of Sustainable Water in the Built Environment:;2020:;Volume ( 006 ):;issue: 002
    Author(s): Jamal Alikhani; Christopher Nietch; Scott Jacobs; Bill Shuster; Arash Massoudieh
    Publisher: ASCE
    Abstract: Green infrastructure (GI) is a contemporary approach to the management of stormwater and limits its intrusion into wastewater collection systems. GI practices, such as bioretention systems, affect the local water cycle by ...
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    Storm Water Pollution Source Identification in Washington, DC, Using Bayesian Chemical Mass Balance Modeling 

    Source: Journal of Environmental Engineering:;2014:;Volume ( 140 ):;issue: 003
    Author(s): Soroosh Sharifi; Mohammad Masoud Haghshenas; Tolessa Deksissa; Peter Green; William Hare; Arash Massoudieh
    Publisher: American Society of Civil Engineers
    Abstract: A Bayesian chemical mass balance (CMB) model was used to identify the sources of heavy metals in a highly urbanized area at the vicinity of the Anacostia River in Washington, DC. This method uses the elemental profiles of ...
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    Storm Water Management Model: Performance Review and Gap Analysis 

    Source: Journal of Sustainable Water in the Built Environment:;2017:;Volume ( 003 ):;issue: 002
    Author(s): Mehran Niazi; Chris Nietch; Mahdi Maghrebi; Nicole Jackson; Brittany R. Bennett; Michael Tryby; Arash Massoudieh
    Publisher:
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