New Brunswick hydrometric network analysis and rationalization

Autor:	Alida Nadège Thiombiano, Salaheddine El Adlouni, Daniel Caissie, Jasmin Boisvert, Nassir El-Jabi
Rok vydání:	2017
Předmět:	Water resources Operations research Computer science 0208 environmental biotechnology 02 engineering and technology Cluster analysis 020801 environmental engineering General Environmental Science Civil and Structural Engineering Network analysis
Zdroj:	Canadian Journal of Civil Engineering. 44:829-837
ISSN:	1208-6029 0315-1468
DOI:	10.1139/cjce-2016-0487
Popis:	The availability of hydrometric data, as well as its spatial distribution, is important for water resources management. An overly dense network or an under developed network can cause inaccurate hydrological regional estimates. The objective of this study is to propose a methodology for rationalizing a network, specifically the New Brunswick Hydrometric Network. A hierarchical clustering analysis allowed dividing the province into two regions (North and South), based on latitude and high flow timing. These groups were subsequently split separately into three homogeneous subgroups, based on the generalized extreme value (GEV) distribution shape parameter of each station for annual maximum flow series. An entropy method was then applied to compute the amount of information shared between stations, ranking each station’s importance. A station with a lot of shared information is redundant (less important), whereas one with little shared information is unique (very important). The entropy method appears to be a useful decisional tool in a network rationalization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::461f2186429b0a4dab20eee79acec0e6 https://doi.org/10.1139/cjce-2016-0487 Zobrazit plný text záznamu Plný text ve formátu PDF