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Works (7)

Deep Learning-Based Projection of Occurrence Frequency of Forest Fires under SSP Scenario: Exploring the Link between Drought Characteristics and Forest Fires

Sustainability
2022-05-03 | Journal article
Contributors: Jang Hyun Sung; Seung Beom Seo; Young Ryu
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Deep Learning-Based Prediction of Fire Occurrence with Hydroclimatic Condition and Drought Phase over South Korea

KSCE Journal of Civil Engineering
2022-04 | Journal article
Contributors: Jang Hyun Sung; Young Ryu; Kee-Won Seong
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Multivariate Frequency Analysis for Streamflow Drought Having Different Time Resolution Using Archimedean Copula Functions

KSCE Journal of Civil Engineering
2022-04 | Journal article
Contributors: Jang Hyun Sung; Young Ryu; Eun-Sung Chung
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Deep‐learning based projection of change in irrigation water‐use under RCP 8.5

Hydrological Processes
2021-08 | Journal article
Contributors: Jang Hyun Sung; Jinsoo Kim; Eun‐Sung Chung; Young Ryu
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Effects of Hydro-Meteorological Factors on Streamflow Withdrawal for Irrigation in Yeongsan River Basin

Sustainability
2021-04-28 | Journal article
Contributors: Jang Hyun Sung; Donghae Baek; Young Ryu; Seung Beom Seo; Kee-Won Seong
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Estimation of Water-Use Rates Based on Hydro-Meteorological Variables Using Deep Belief Network

Water
2020-09-27 | Journal article
Contributors: Jang Hyun Sung; Young Ryu; Eun-Sung Chung
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Utilizing Bivariate Climate Forecasts to Update the Probabilities of Ensemble Streamflow Prediction

Sustainability
2020-04-06 | Journal article
Contributors: Jang Hyun Sung; Young Ryu; Seung Beom Seo
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