Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy-Reference-Cited by-同舟云学术

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Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy

Published:2019-11 Issue: Volume:178 Page:108686
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Wang Wenqi,Wang Dong,Singh Vijay P.,Wang Yuankun,Wu Jichun,Zhang Jianyun,Liu Jiufu,Zou Ying,He Ruimin,Meng Deqing

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference48 articles.

1. Hydrological assessment of meteorological network density through data assimilation simulation;Abbasnezhadi;J. Hydrol.,2019

2. Optimal design of rain gauge network inthe Middle Yarra River catchment, Australia;Adhikary;Hydrol. Process.,2015

3. Information theory–based approach for location of monitoring water level gauges in polders;Alfonso;Water Resour. Res.,2010

4. Optimization of water level monitoring network in polder systems using information theory;Alfonso;Water Resour. Res.,2010

5. Improvement of rainfall-runoff forecasts through mean areal rainfall optimization;Anctil;J. Hydrol.,2006

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1. Designing a rain gauge network: utilizing satellite-derived precipitation data with geostatistical multivariate techniques;Paddy and Water Environment;2024-06-04

2. Information Entropy Theory-Based Optimizing of Gauge Networks for Hydrological Modelling—A Case Study in the Loess Plateau, China;GeoPlanet: Earth and Planetary Sciences;2024

3. Improving flood forecasting in Narmada river basin using hierarchical clustering and hydrological modelling;Results in Engineering;2023-12

4. Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms;Stochastic Environmental Research and Risk Assessment;2023-07-21

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