서울시립대 - 차윤경 물환경관리연구실

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Publications
Journals

Journals

일자별
년도별

10. Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective

Jihoon Shin , YoonKyung Cha

Water Research Volume 268, Part B, 1 January 2025, 122751 Link
9. Generalizability evaluations of heterogeneous ensembles for river health predictions

Taeseung Park , Jihoon Shin , Baekyung Park , Jeongsuk Moon , YoonKyung Cha

Ecological Informatics Volume 82, September 2024, 102719 Link
8. Multisite algal bloom predictions in a lake using graph attention networks

Nakgyeom Kim, Jihoon Shin, YoonKyung Cha

Environmental Engineering Research 2024; 29(2): 230210. Published online: June 13, 2023 Link
7. Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach

Jihoon Shin , Gunhyeong Lee , TaeHo Kim , Kyung Hwa Cho , Seok Min Hong , Do Hyuck Kwon, JongCheol Pyo , YoonKyung Cha

Science of The Total Environment Volume 912, 20 February 2024, 169540 Link
6. Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency

Hyo Gyeom Kim , YoonKyung Cha, Kyung Hwa Cho

Water Research Volume 249, 1 February 2024, 120928 Link
5. Data-driven models for predicting community changes in freshwater ecosystems: A review

Da-Yeong Lee , Dae-Seong Lee , YoonKyung Cha , Joong-Hyuk Min , Young-Seuk Park

Ecological Informatics Volume 77, November 2023, 102163 Link
4. Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms

TaeHo Kim , Jihoon Shin , YoonKyung Cha

Journal of Cleaner Production Volume 414, 15 August 2023, 137564 Link
3. Hybrid model for daily streamflow and phosphorus load prediction

DoYeon Lee; Jihoon Shin; TaeHo Kim; Sangchul Lee; Dongho Kim; Yeonjeong Park; YoonKyung Cha

Water Sci Technol (2023) 88 (4): 975–990. Link
2. Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea

Yongsung Kwon, YoonKyung Cha, Yeonjeong Park & Sangchul Lee

Scientific Reports volume 13, Article number: 9296 (2023) Link
1. 학습 기반 최적화 방법론을 이용한 서울시 도로변대기측정망 확장

김태호, 신지훈, 김영우, 이도연, 백주은, 이도윤, 차윤경

Journal of Korean Society of Environmental Engineers 2023; 45(3): 148-160. Published online: March 31, 2023 Link

2025

Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective

Jihoon Shin , YoonKyung Cha

Water Research Volume 268, Part B, 1 January 2025, 122751 Link

2024

Generalizability evaluations of heterogeneous ensembles for river health predictions

Taeseung Park , Jihoon Shin , Baekyung Park , Jeongsuk Moon , YoonKyung Cha

Ecological Informatics Volume 82, September 2024, 102719 Link
Multisite algal bloom predictions in a lake using graph attention networks

Nakgyeom Kim, Jihoon Shin, YoonKyung Cha

Environmental Engineering Research 2024; 29(2): 230210. Published online: June 13, 2023 Link
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach

Jihoon Shin , Gunhyeong Lee , TaeHo Kim , Kyung Hwa Cho , Seok Min Hong , Do Hyuck Kwon, JongCheol Pyo , YoonKyung Cha

Science of The Total Environment Volume 912, 20 February 2024, 169540 Link
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency

Hyo Gyeom Kim , YoonKyung Cha, Kyung Hwa Cho

Water Research Volume 249, 1 February 2024, 120928 Link

2023

Data-driven models for predicting community changes in freshwater ecosystems: A review

Da-Yeong Lee , Dae-Seong Lee , YoonKyung Cha , Joong-Hyuk Min , Young-Seuk Park

Ecological Informatics Volume 77, November 2023, 102163 Link
Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms

TaeHo Kim , Jihoon Shin , YoonKyung Cha

Journal of Cleaner Production Volume 414, 15 August 2023, 137564 Link
Hybrid model for daily streamflow and phosphorus load prediction

DoYeon Lee; Jihoon Shin; TaeHo Kim; Sangchul Lee; Dongho Kim; Yeonjeong Park; YoonKyung Cha

Water Sci Technol (2023) 88 (4): 975–990. Link
Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea

Yongsung Kwon, YoonKyung Cha, Yeonjeong Park & Sangchul Lee

Scientific Reports volume 13, Article number: 9296 (2023) Link
학습 기반 최적화 방법론을 이용한 서울시 도로변대기측정망 확장

김태호, 신지훈, 김영우, 이도연, 백주은, 이도윤, 차윤경

Journal of Korean Society of Environmental Engineers 2023; 45(3): 148-160. Published online: March 31, 2023 Link

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Publications

Journals

10. Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective

9. Generalizability evaluations of heterogeneous ensembles for river health predictions

8. Multisite algal bloom predictions in a lake using graph attention networks

7. Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach

6. Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency

5. Data-driven models for predicting community changes in freshwater ecosystems: A review

4. Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms

3. Hybrid model for daily streamflow and phosphorus load prediction

2. Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea

1. 학습 기반 최적화 방법론을 이용한 서울시 도로변대기측정망 확장

2025

Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective

2024

Generalizability evaluations of heterogeneous ensembles for river health predictions

Multisite algal bloom predictions in a lake using graph attention networks

Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach

Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency

2023

Data-driven models for predicting community changes in freshwater ecosystems: A review

Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms

Hybrid model for daily streamflow and phosphorus load prediction

Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea

학습 기반 최적화 방법론을 이용한 서울시 도로변대기측정망 확장

논문정보