Sensitivity of Entropy Method to Time Series Length in Hydrometric Network Design-Reference-Cited by-同舟云学术

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Sensitivity of Entropy Method to Time Series Length in Hydrometric Network Design

Published:2017-07 Issue:7 Volume:22 Page:04017009
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Keum Jongho¹,Coulibaly Paulin²

Affiliation:

1. Postdoctoral Fellow, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4K1 (corresponding author).

2. Professor, School of Geography and Earth Sciences, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4K1.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001508

Reference42 articles.

1. Information theory applied to evaluate the discharge monitoring network of the Magdalena River

2. Information theory-based approach for location of monitoring water level gauges in polders

3. Optimization of water level monitoring network in polder systems using information theory

4. Coupling hydrodynamic models and value of information for designing stage monitoring networks

5. Ensemble Entropy for Monitoring Network Design

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1. Water quality emergency monitoring networks: A method for identifying non-critical variables based on Shannon's entropy;Journal of Hydroinformatics;2024-03-01

2. Integrating multi-criteria decision analysis (MCDA) with kriging and entropy methods for optimising streamflow measurement in a scantly monitored river basin;International Journal of River Basin Management;2023-11-21

3. A general approach for evaluating of the coverage, resolution, and representation of streamflow monitoring networks;Environmental Monitoring and Assessment;2023-09-30

4. Informational analysis of the Canadian National Hydrometric program monitoring network;Canadian Water Resources Journal / Revue canadienne des ressources hydriques;2023-08-16

5. Use of the entropy approach in water resource monitoring systems;58;2023-06-01

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