Climate Change Data Portal
DOI | 10.5194/hess-24-2235-2020 |
Optimal design of hydrometric station networks based on complex network analysis | |
Agarwal A.; Marwan N.; Maheswaran R.; Ozturk U.; Kurths J.; Merz B. | |
发表日期 | 2020 |
ISSN | 1027-5606 |
起始页码 | 2235 |
结束页码 | 2251 |
卷号 | 24期号:5 |
英文摘要 | 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. . © Author(s) 2020. |
语种 | 英语 |
scopus关键词 | Cost effectiveness; Decision making; Information management; Rain; Rain gages; Water management; Hydrometeorology; Hydrometric networks; Hydrometric stations; Influential nodes; Network efficiency; Rain gauge networks; Technological networks; Waterresource management; Complex networks; decision making; design method; hydrometeorology; kriging; network analysis; Germany |
来源期刊 | Hydrology and Earth System Sciences |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159416 |
作者单位 | Agarwal, A., GFZ German Research Centre for Geosciences, Section 4.4: Hydrology, Telegrafenberg, Potsdam, 14473, Germany, Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, 14476, Germany, Complexity Science Research Department, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Telegrafenberg, Potsdam, 14473, Germany, Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, India; Marwan, N., Complexity Science Research Department, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Telegrafenberg, Potsdam, 14473, Germany; Maheswaran, R., Department of Civil Engineering, MVGR College of Engineering, Vizianagaram, 535005, India; Ozturk, U., Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, 14476, Germany; Kurths, J., Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, 14476, Germany, Complexity Science Research Department, ... |
推荐引用方式 GB/T 7714 | Agarwal A.,Marwan N.,Maheswaran R.,et al. Optimal design of hydrometric station networks based on complex network analysis[J],2020,24(5). |
APA | Agarwal A.,Marwan N.,Maheswaran R.,Ozturk U.,Kurths J.,&Merz B..(2020).Optimal design of hydrometric station networks based on complex network analysis.Hydrology and Earth System Sciences,24(5). |
MLA | Agarwal A.,et al."Optimal design of hydrometric station networks based on complex network analysis".Hydrology and Earth System Sciences 24.5(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。