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Water
Volume 15
Issue 18
10.3390/w15183252
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Editorial

Water Resources Management Using High-Resolution Monitoring and Modelling

by
Hezhen Lou
1,*,
Wenlong Song
2 and
Yang Lu
3
1
College of Water Science, Beijing Normal University, Beijing 100875, China
2
China Institute of Hydropower and Water Research, Beijing 100048, China
3
Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK
*
Author to whom correspondence should be addressed.
Water 2023, 15(18), 3252; https://doi.org/10.3390/w15183252
Submission received: 4 August 2023 / Accepted: 1 September 2023 / Published: 13 September 2023
(This article belongs to the Special Issue High-Resolution Monitoring and Modelling for Water Resources Management: New Sensors, New Approaches and Applications)
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Water resources’ management at a high spatial and temporal resolution calls for data support at the relevant scales, which has long been hindered by the availability of high-resolution data [...]

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MDPI and ACS Style

Lou, H.; Song, W.; Lu, Y. Water Resources Management Using High-Resolution Monitoring and Modelling. Water 2023, 15, 3252. https://doi.org/10.3390/w15183252

AMA Style

Lou H, Song W, Lu Y. Water Resources Management Using High-Resolution Monitoring and Modelling. Water. 2023; 15(18):3252. https://doi.org/10.3390/w15183252

Chicago/Turabian Style

Lou, Hezhen, Wenlong Song, and Yang Lu. 2023. "Water Resources Management Using High-Resolution Monitoring and Modelling" Water 15, no. 18: 3252. https://doi.org/10.3390/w15183252

APA Style

Lou, H., Song, W., & Lu, Y. (2023). Water Resources Management Using High-Resolution Monitoring and Modelling. Water, 15(18), 3252. https://doi.org/10.3390/w15183252

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