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Sangchul Lee

University of Seoul

Seoul

Korea, Republic of (South Korea)

  • University of Seoul

SCHOLARLY PAPERS

2

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144

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Scholarly Papers (2)

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1.

Geographically Weighted Machine Learning for Predicting the Spatial Distribution of Groundwater Nitrate Nitrogen (No3-N) Concentration

Number of pages: 49 Posted: 20 Aug 2024
Younghun Lee, Changhyun Kim, Hyemin Jeong, Dongho Kim, Byeongwon Lee, Taeseung park, Seongyun Kim, Dongjin Jeon, Jongho Ahn, Jai-Young Lee, YoonKyung Cha and Sangchul Lee
Korea University, University of Seoul, Korea University, University of Seoul, Korea University, University of Seoul, Chonnam National University, Korea Environment Institute, Korea Environment Institute, University of Seoul, University of Seoul and University of Seoul
Downloads 88 (759,537)

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Groundwater quality, Geospatially weighted machine learning model (GWMLM), Spatial variability, Conventional machine learning models (CMLMs), Spatial autocorrelation

2.

Classifying Cropland Vulnerability to Pollutant Loads Across South Korea Under Climate Change Conditions Using Soil Vulnerability Index

Number of pages: 41 Posted: 01 Sep 2022
Sangchul Lee, Jiwon Lee, Hyemin Jeong, Younghun Lee, Changhyun Kim, Wonjae Hwang, Minseok Park, Seunghun Hyun, Seung beom Seo and Junga Lee
University of Seoul, University of Seoul, University of Seoul, University of Seoul, University of Seoul, Korea University, Korea University, Korea University, University of Seoul and Korea University
Downloads 56 (1,000,027)

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Soil vulnerability index (SVI), South Korea, precipitation intensity, climate change