Ministry of Environment

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合作机构同一篇文章里的其他机构

1. Inha University韩国3
2. Daegu Catholic University韩国1
3. Korea Research Institute for Human Settlements韩国1
4. Korea Institute of Civil Engineering and Building Technology韩国1
5. Korea Environment Institute韩国1
6. Kyungpook National University韩国1
7. Ministry of the Interior and Safety韩国1
8. Seokyeong University韩国1

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最新文献

1. 1
   Prediction of Flood Level Using LSTM and Watershed Hydrological DataJournal of Flood Risk Management20255
2. 2
   Estimating specific acute exposure guideline levels for emergency response at the scene of chemical accidents: A case study of acrylic acidJournal of Loss Prevention in the Process Industries20244
3. 3
   Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, KoreaStochastic Environmental Research and Risk Assessment202116
4. 4
   A case study: bivariate drought identification on the Andong dam, South KoreaStochastic Environmental Research and Risk Assessment202010
5. 5
   Stream gauge network grouping analysis using community detectionStochastic Environmental Research and Risk Assessment202018
6. 6
   Framework to prioritize watersheds for diffuse pollution management in the Republic of Korea: application of multi-criteria analysis using the Delphi methodNatural Hazards and Earth System Sciences20199

高被引文献

1. 1
   Stream gauge network grouping analysis using community detectionStochastic Environmental Research and Risk Assessment202018
2. 2
   Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, KoreaStochastic Environmental Research and Risk Assessment202116
3. 3
   A case study: bivariate drought identification on the Andong dam, South KoreaStochastic Environmental Research and Risk Assessment202010
4. 4
   Framework to prioritize watersheds for diffuse pollution management in the Republic of Korea: application of multi-criteria analysis using the Delphi methodNatural Hazards and Earth System Sciences20199
5. 5
   Prediction of Flood Level Using LSTM and Watershed Hydrological DataJournal of Flood Risk Management20255
6. 6
   Estimating specific acute exposure guideline levels for emergency response at the scene of chemical accidents: A case study of acrylic acidJournal of Loss Prevention in the Process Industries20244

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