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A Comparative Study on the Application of Boosting Algorithm for Chl-a Estimation in the Downstream of Nakdong River
Sang-Min Lee, Il-Kyu Kim
J Korean Soc Environ Eng. 2021;43(1):66-78.   Published online 2021 January 31    DOI:

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Response of Microcystis and Stephanodiscus to Alternative Flow Regimes of the Regulated River Nakdong (South Korea) Quantified By Model Ensembles Based on the Hybrid Evolutionary Algorithm (HEA)
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Turbidity control in downstream of the reservoir: the Nakdong River in Korea
Environmental Earth Sciences. 2013;71(4):1871-1880   Crossref logo
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Upstream water resource management to address downstream pollution concerns: A policy framework with application to the Nakdong River basin in South Korea
Water Resources Research. 2015;51(2):787-805   Crossref logo
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Long-Term Ecological Research in the Nakdong River: Application of Ecological Informatics to Harmful Algal Blooms
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Downstream Regime Relations for Single-Thread Channels
River Research and Applications. 2016;33(1):182-186   Crossref logo
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Application of stochastic optimization algorithm for waste load allocation in the Nakdong River basin, Korea
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Research and Application Based on Adaptive Boosting Strategy and Modified CGFPA Algorithm: A Case Study for Wind Speed Forecasting
Sustainability. 2016;8(3):235   Crossref logo

Multi-Objective Parameter Estimation of Improved Muskingum Model by Wolf Pack Algorithm and Its Application in Upper Hanjiang River, China
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The Application of Boosting Algorithm in Data Mining
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Comparative analysis of statistical and catchment modelling approaches to river flood frequency estimation
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