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Results 1-1 of 1 (Search time: 0.056 seconds).
The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models
Kim, Y.; Chung, E.-S.; Cho, H.; Byun, K.;
Kim, D.
Article
Issue Date
2023
Citation
Stochastic Environmental Research and Risk Assessment, v.37, no.5, pp 1777 - 1798
Publisher
Springer Science and Business Media Deutschland GmbH
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CHANGE IMPACT ASSESSMENT
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Dam operation
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Drought
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HUMIDITY
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Hydrologic model
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LARGE-SCALE
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Machine learning
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2023
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