Water Resources Management Using High-Resolution Monitoring and Modelling
Author:
Affiliation:
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
Abstract
Publisher
MDPI AG
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Link
https://www.mdpi.com/2073-4441/15/18/3252/pdf
Reference11 articles.
1. Chen, X., Song, W., Shi, Y., Liu, W., Lu, Y., Pang, Z., and Chen, X. (2022). Application of Cosmic-Ray Neutron Sensor Method to Calculate Field Water Use Efficiency. Water, 14.
2. Cai, M., Gao, J., Fan, X., Liu, S., Shen, W., and He, C. (2022). Estimation of River Discharge Using Unmanned Aerial Vehicle (UAV) Based on Manning Formula for an Ungauged Alpine River in the Eastern Qilian Mountains. Water, 14.
3. Bolick, M.M., Post, C.J., Naser, M.Z., Forghanparast, F., and Mikhailova, E.A. (2023). Evaluating Urban Stream Flooding with Machine Learning, LiDAR, and 3D Modeling. Water, 15.
4. Song, W., Lu, Y., Wang, Y., Lu, J., and Shi, H. (2023). A Pixel-Scale Measurement Method of Soil Moisture Using Ground-Penetrating Radar. Water, 15.
5. Ki, I., Chakroun, H., Koussoube, Y., and Zouari, K. (2023). Assessment of Aquifer Recharge Potential Using Remote Sensing, GIS and the Analytical Hierarchy Process (AHP) Combined with Hydrochemical and Isotope Data (Tamassari Basin, Burkina Faso). Water, 15.
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