Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi‐objective Methods

Werstuck, Connor; Coulibaly, Paulin

doi:10.1111/1752-1688.12611

Cited by 7 publications

(5 citation statements)

References 27 publications

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“…In this study, we compare the methods and recommendations already elaborated by similar studies carried out (e.g., ALFONSO et al 2010aALFONSO et al ,b, 2014LI et al, 2012;COULIBALY, 2010COULIBALY, , 2014COULIBALY, 2016COULIBALY, , 2017SAMUEL et al, 2013), applied to Rio das Velhas, in continuation of studies previously performed at the national level by Gontijo Junior and Koide (2012) and Pádua et al (2018a,b).…”

Section: Introductionmentioning

confidence: 95%

Analysis of the fluviometric network of Rio das Velhas using Entropy

Padua

Nascimento

Silva

et al. 2019

RBRH

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In this work a comparative study was carried out, in which different methods were used in the literature that seek to evaluate the number of stations and the quality of the information generated by the hydrometric network of a watershed, using Information Theory concepts. The underlying idea is the so-called optimal network whose function, according to World Meteorological Organization (WMO) is to optimally and inexpensively meet the primary goal of hydrometry, which is to provide the necessary information with a minimum number of stations correctly positioned in the basin. Methodologies based on Information Theory ascend to fill the gap on a standard method for the design of hydrometric networks. The evaluated methods were applied to the subbasin of the Rio das Velhas belonging to the São Francisco River basin in Brazil. The results showed that the methods analyzed, which use the concept of entropy, are adequate and efficient for evaluation of existing fluviometric networks, since they allow the reduction of eventual redundancies and at the same time, seek to maximize the information generated. It was possible to compare them and indicate the most appropriate method for the application within the national context, as well as indicate new methods for use thereof.

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Section: Introductionmentioning

confidence: 95%

Analysis of the fluviometric network of Rio das Velhas using Entropy

Padua

Nascimento

Silva

et al. 2019

RBRH

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“…Оптимальні мережі, що використовують довжину даних 5, 10, 15 і 20 років, також показують, що немає суттєвих відмінностей у результатах від 10 років або довше, тоді як оптимальна мережа, яка використовує дані за п'ять років, явно відрізняється від інших. Автори [49] проаналізували ефекти масштабування, розглянувши дві досліджувані області. Зокрема, одна досліджувана територія є малим вододілом, який є частиною іншої досліджуваної території.…”

Section: формулювання мети статтіunclassified

Use of the entropy approach in water resource monitoring systems

Bezsonnyi

2023

Visnyk of V.N. Karazin Kharkiv National University, Series Geology. Geography. Ecology

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Effective management of water resources is possible only with an effectively organized monitoring system. After the emergence and development of information theory, the concept of information entropy found its place in the field of the development of water monitoring systems. The purpose of this work is to review research related to the construction of water monitoring systems and networks that applied the entropy theory in the design process. Methodology. Entropy terms used in the construction of water monitoring systems are summarized. Recent applications of the entropy concept for water monitoring system designs classified by precipitation are reviewed; flow and water level; water quality; soil moisture and groundwater. The integrated method of designing multifactorial monitoring systems is also highlighted. Results. The review analyzes studies and their implementation in the design of water monitoring networks based on entropy. The use of various methods of information theory and their adaptation for use in the design of monitoring networks is demonstrated, with the goal of network design methods being the selection of stations that provide the most information for the monitoring network, while being independent of each other. Through extensive testing, information theory has proven to be a reliable tool for evaluating and designing an optimal water monitoring network. Scientific novelty. This review focuses on studies that have applied information theory or information entropy to construct monitoring networks and systems. Information theory was developed by Shannon in the middle of the last century to measure the information content of a data set and was subsequently applied to solving water resources problems. To date, there are no review studies regarding the design of water monitoring networks based on the concept that entropy will be able to characterize the information specific to the monitoring station or monitoring networks. The main goal is to have the maximum amount of information. Practical significance. The optimal design of the monitoring network can be built based on the specified design criteria; however, the practical application of a new optimal monitoring network is rarely evaluated in a hydrological or other model. It is also important to identify the benefits of entropy-based network design to convince decision-makers of the importance of entropy-based approaches. The optimal network can be subjective, based on the choices made during the entropy calculation and the design method chosen, especially when additional objective functions are considered in the design. This applies to the method chosen to construct the optimal monitoring network, whether it is found using an iterative method where one station is added at a time, or a collection of stations that are added simultaneously. Research has also shown that data length, catchment scale, and the order can affect optimal network design. when using discrete entropy, it was shown that the binning method affects the final network design. Therefore, when selecting options based on the intended application of the monitoring network, a clear understanding and further research is needed to provide recommendations specific to water monitoring networks. In particular, more work is needed on the spatial and temporal scaling of the entropy calculation data to provide robust recommendations for decision-makers.

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“…The optimal networks using the data lengths of 5, 10, 15 and 20 years also show that there are no significant differences in the results from 10 years or longer while the optimal network using five years of data was evidently different from others. Werstuck and Coulibaly [56] analyzed scaling effects by considering two study areas. Specifically, one study area is a small watershed, which is a part of another study area.…”

Section: Streamflow and Water Level Networkmentioning

confidence: 99%

Entropy Applications to Water Monitoring Network Design: A Review

Keum

Kornelsen

Leach

et al. 2017

Entropy

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Abstract:Having reliable water monitoring networks is an essential component of water resources and environmental management. A standardized process for the design of water monitoring networks does not exist with the exception of the World Meteorological Organization (WMO) general guidelines about the minimum network density. While one of the major challenges in the design of optimal hydrometric networks has been establishing design objectives, information theory has been successfully adopted to network design problems by providing measures of the information content that can be deliverable from a station or a network. This review firstly summarizes the common entropy terms that have been used in water monitoring network designs. Then, this paper deals with the recent applications of the entropy concept for water monitoring network designs, which are categorized into (1) precipitation; (2) streamflow and water level; (3) water quality; and (4) soil moisture and groundwater networks. The integrated design method for multivariate monitoring networks is also covered. Despite several issues, entropy theory has been well suited to water monitoring network design. However, further work is still required to provide design standards and guidelines for operational use.

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Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi‐objective Methods

Cited by 7 publications

References 27 publications

Analysis of the fluviometric network of Rio das Velhas using Entropy

Analysis of the fluviometric network of Rio das Velhas using Entropy

Use of the entropy approach in water resource monitoring systems

Entropy Applications to Water Monitoring Network Design: A Review

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