Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data-Reference-Cited by-同舟云学术

Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data

Published:2021-04 Issue:4 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Kim Young Woo¹^ORCID,Kim TaeHo¹^ORCID,Shin Jihoon¹^ORCID,Go ByeongGeon¹^ORCID,Lee Mokyoung²^ORCID,Lee JinHyo²^ORCID,Koo Jayong¹,Cho Kyung Hwa³^ORCID,Cha YoonKyung¹^ORCID

Affiliation:

1. School of Environmental Engineering University of Seoul Seoul Korea

2. Water Environment Research Department Seoul Metropolitan Government Research Institute of Public Health and Environment Gwacheon‐si Gyeonggi‐do Korea

3. School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology Ulsan Korea

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR029188

Reference47 articles.

1. Performance of stochastic approaches for forecasting river water quality

2. Permutation importance: a corrected feature importance measure

3. Phosphorus retention along a typical urban landscape river with a series of rubber dams

4. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

5. Improving management of windrow composting systems by modeling runoff water quality dynamics using recurrent neural network

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