Bias Analysis of WRF-CMAQ Simulated PM2.5 Concentrations Caused by Different PBL Parameterizations: Application to the Haze Period of March in 2019 over the Seoul Metropolitan Area

Journal of Korean Society for Atmospheric Environment ◽

10.5572/kosae.2021.37.6.835 ◽

2021 ◽

Vol 37 (6) ◽

pp. 835-852

Author(s):

So-Yeon Jeong ◽

Cheol-Hee Kim

Keyword(s):

Metropolitan Area ◽

Bias Analysis ◽

Seoul Metropolitan Area

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The Revisit on the PM10 Reduction Policy in Korea : Focusing on Policy Target, Tools and Effect of 1st Air Quality Management Plan in Seoul Metropolitan Area

Journal of Environmental Policy and Administration ◽

10.15301/jepa.2017.25.1.49 ◽

2017 ◽

Vol 25 (1) ◽

pp. 49 ◽

Author(s):

Hyuk Han ◽

Chang Hoon Jung ◽

Hyun Sub Kum ◽

Yong Pyo Kim

Keyword(s):

Air Quality ◽

Quality Management ◽

Metropolitan Area ◽

Management Plan ◽

Air Quality Management ◽

Seoul Metropolitan Area ◽

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Multilevel Factors Affecting Problem Drinking among Middle-Aged Men in Seoul Metropolitan Area

Journal of Korean Alcohol Science ◽

10.15524/ksas.2019.20.2.053 ◽

2019 ◽

Vol 20 (2) ◽

pp. 53-67

Author(s):

Sunyoung Hong ◽

◽

Hyekyeong Kim

Keyword(s):

Metropolitan Area ◽

Problem Drinking ◽

Middle Aged ◽

Factors Affecting ◽

Seoul Metropolitan Area

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The Variation of Industrial Location Demand by Changing Policy of Seoul Metropolitan Area

Journal of the Economic Geographical Society of Korea ◽

10.23841/egsk.2011.14.3.286 ◽

2011 ◽

Vol 14 (3) ◽

pp. 286-306

Author(s):

이현주 ◽

김미숙

Keyword(s):

Metropolitan Area ◽

Industrial Location ◽

Seoul Metropolitan Area

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Location Characteristics and Potential Analysis of Aged Apartment Complex in the Seoul Metropolitan Area

Appraisal Studies ◽

10.23843/as.18.3.5 ◽

2019 ◽

Vol 18 (3) ◽

pp. 117-142

Author(s):

Changhyo Yi ◽

Sam-su Lee

Keyword(s):

Metropolitan Area ◽

Potential Analysis ◽

Seoul Metropolitan Area ◽

Apartment Complex

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The Study on the Improvement of Seoul Metropolitan Area Readjustment Districts in Korea: Focused on Overpopulated Constraint District and Growth Management District

Appraisal Studies ◽

10.23843/as.16.1.12 ◽

2017 ◽

Vol 16 (1) ◽

pp. 265-296

Author(s):

Hyun Jin Kwon

Keyword(s):

Metropolitan Area ◽

Growth Management ◽

Seoul Metropolitan Area

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The Population Concentration of Seoul Metropolitan Area and the Patterns of the Migration into the Area

Institute For Kyeongki Cultural Studies ◽

10.26426/kcs.2020.41.1.95 ◽

2020 ◽

Vol 41 (1) ◽

pp. 95-112

Author(s):

Min Cheol Seo

Keyword(s):

Metropolitan Area ◽

Seoul Metropolitan Area ◽

Population Concentration

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Analysis on Residential Segregation of Affordable Housings by Income Group - Focusing on Apartment Sales and Rental Prices in the Seoul Metropolitan Area -

SH Urban Research & Insight ◽

10.26700/shuri.2018.08.8.2.21 ◽

2018 ◽

Vol 8 (2) ◽

pp. 21-38

Author(s):

Myung-Jin Jun ◽

Seo-Jung Kim

Keyword(s):

Residential Segregation ◽

Metropolitan Area ◽

Income Group ◽

Seoul Metropolitan Area

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Performance Analysis of Culture and Arts Centers in Seoul Metropolitan Area due to Changes in Operators

Journal of Next-generation Convergence Information Services Technology ◽

10.29056/jncist.2018.06.03 ◽

2018 ◽

Vol 7 (1) ◽

pp. 33-50

Author(s):

Ju-Dong Park ◽

Nam-Kyu Cho

Keyword(s):

Performance Analysis ◽

Metropolitan Area ◽

Seoul Metropolitan Area

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A Study on the Overcrowding Distribution and Location Influence Factors of Elderly Care Facilities in Seoul Metropolitan Area

Journal of the Korean Urban Management Association ◽

10.36700/kruma.2019.09.32.3.21 ◽

2019 ◽

Vol 32 (3) ◽

pp. 21-43

Author(s):

Hyunbong Park ◽

Hwanyong Park

Keyword(s):

Metropolitan Area ◽

Elderly Care ◽

Influence Factors ◽

Seoul Metropolitan Area ◽

Care Facilities

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A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area

International Journal of Geographical Information Science ◽

10.1080/13658816.2021.1887490 ◽

2021 ◽

pp. 1-19

Author(s):

Myung-Jin Jun

Keyword(s):

Neural Networks ◽

Land Use ◽

Artificial Neural Networks ◽

Decision Tree ◽

Random Forests ◽

Metropolitan Area ◽

Land Use Changes ◽

Urban Land Use ◽

Gradient Boosting ◽

Seoul Metropolitan Area

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