Optimal design of hydrometric station networks based on complex network analysis
-
Published:2020-05-08
Issue:5
Volume:24
Page:2235-2251
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Agarwal AnkitORCID, Marwan NorbertORCID, Maheswaran Rathinasamy, Ozturk UgurORCID, Kurths Jürgen, Merz BrunoORCID
Abstract
Abstract. Hydrometric networks play a vital role in providing information for
decision-making in water resource management. They should be set up
optimally to provide as much information as possible that is as accurate as possible and, at
the same time, be cost-effective. Although the design of hydrometric
networks is a well-identified problem in hydrometeorology and has received
considerable attention, there is still scope for further advancement. In this
study, we use complex network analysis, defined as a collection of nodes
interconnected by links, to propose a new measure that identifies critical
nodes of station networks. The approach can support the design and redesign
of hydrometric station networks. The science of complex networks is a
relatively young field and has gained significant momentum over the last few years
in different areas such as brain networks, social networks, technological
networks, or climate networks. The identification of influential nodes in
complex networks is an important field of research. We propose a new node-ranking measure – the weighted degree–betweenness (WDB) measure – to evaluate the
importance of nodes in a network. It is compared to previously proposed
measures used on synthetic sample networks and then applied to a real-world rain
gauge network comprising 1229 stations across Germany to demonstrate its
applicability. The proposed measure is evaluated using the decline rate of the
network efficiency and the kriging error. The results suggest that WDB
effectively quantifies the importance of rain gauges, although the benefits
of the method need to be investigated in more detail.
Funder
Deutsche Forschungsgemeinschaft
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference55 articles.
1. Adhikary, S. K., Yilmaz, A. G., and Muttil, N.: Optimal design of rain gauge
network in the Middle Yarra River catchment, Australia, Hydrol. Process.,
29, 2582–2599, https://doi.org/10.1002/hyp.10389, 2015. 2. Agarwal, A.: Unraveling spatio-temporal climatic patterns via multi-scale
complex networks, Universität Potsdam, Potsdam, 2019. 3. Agarwal, A., Marwan, N., Rathinasamy, M., Merz, B., and Kurths, J.: Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach, Nonlin. Processes Geophys., 24, 599–611, https://doi.org/10.5194/npg-24-599-2017, 2017. 4. Agarwal, A., Marwan, N., Maheswaran, R., Merz, B., and Kurths, J.:
Quantifying the roles of single stations within homogeneous regions using
complex network analysis, J. Hydrol., 563, 802–810, https://doi.org/10.1016/j.jhydrol.2018.06.050,
2018a. 5. Agarwal, A., Maheswaran, R., Marwan, N., Caesar, L., and Kurths, J.:
Wavelet-based multiscale similarity measure for complex networks, Eur. Phys.
J. B, 91, 296, https://doi.org/10.1140/epjb/e2018-90460-6, 2018b.
Cited by
31 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|