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    Prediction of Nanofiltration and Reverse-Osmosis-Membrane Rejection of Organic Compounds Using Random Forest Model 

    Source: Journal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 011
    Author(s): Sangsuk Lee; Jooho Kim
    Publisher: ASCE
    Abstract: Data-driven membrane prediction models including multiple linear regression and neural network have been widely applied to analyze reveal rejection interactions between various compounds and membranes. While the random ...
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    Spatial Equality and Equity for Effective Emergency Water Distribution System: Points of Distribution 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 003:;page 04020111-1
    Author(s): Jooho Kim; Sang Jin Kweon; Seong Wook Hwang
    Publisher: ASCE
    Abstract: In recent years, there have been multiple incidents of drinking water contamination reported in major US cities. A critical part of the response to such an emergency is the distribution of bottled water to affected residents ...
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    Building Classification Using Random Forest to Develop a Geodatabase for Probabilistic Hazard Information 

    Source: Natural Hazards Review:;2022:;Volume ( 023 ):;issue: 003:;page 04022014
    Author(s): Jooho Kim; Joshua J. Hatzis; Kim Klockow; Patrick A. Campbell
    Publisher: ASCE
    Abstract: To understand the community risk from severe weather threats, two components, including weather information and community assets, are crucial. Recently, probabilistic hazard information (PHI) from the National Oceanic and ...
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    An Agent-Based Modeling Approach to Protective Action Decision-Related Travel during Tornado Warnings 

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 001:;page 04023057-1
    Author(s): Joshua J. Hatzis; Jooho Kim; Kim E. Klockow-McClain
    Publisher: ASCE
    Abstract: Tornadoes represent a significant threat to life and property and tend to evoke protective action in most people. Studies have suggested that many people travel to the nearest storm shelter or flee the area, rather than ...
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