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Pregled bibliografske jedinice broj: 436366

Fully Automated Objective-Based Method for Master Recession Curve Separation


Posavec, Kristijan; Parlov, Jelena; Nakić, Zoran
Fully Automated Objective-Based Method for Master Recession Curve Separation // Ground water, 48 (2010), 4; 598-603 doi:10.1111/j.1745-6584.2009.00669.x (međunarodna recenzija, članak, znanstveni)


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Naslov
Fully Automated Objective-Based Method for Master Recession Curve Separation

Autori
Posavec, Kristijan ; Parlov, Jelena ; Nakić, Zoran

Izvornik
Ground water (0017-467X) 48 (2010), 4; 598-603

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
recession analysis; baseflow separation; Microsoft Excel; Visual Basic for Application

Sažetak
The fully automated objective-based method for master recession curve (MRC) separation was developed by using Microsoft Excel spreadsheet and Visual Basic for Applications (VBA) code. The core of the program code is used to construct an MRC by using the adapted matching strip method (Posavec et al. 2006). Criteria for separating the MRC into two or three segments are determined from the flow-duration curve and are represented as the probable range of percent of flow rate duration. Successive separations are performed automatically on two and three MRCs using sets of percent of flow rate duration from selected ranges and an optimal separation model scenario, having the highest average coefficient of determination R2, is selected as the most appropriate one. The resulting separated master recession curves are presented graphically, whereas the statistics are presented numerically, all in separate sheets. Examples of field data obtained from two springs in Istria, Croatia, are used to illustrate its application. The freely available Excel spreadsheet and VBA program ensures the ease of use and applicability for larger data sets.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Projekti:
195-0000000-3281 - Dinamika, zaštita i eksploatacijske zalihe podzemnih voda Hrvatske (Bačani, Andrea, MZOS ) ( CroRIS)

Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Jelena Parlov (autor)

Avatar Url Kristijan Posavec (autor)

Avatar Url Zoran Nakić (autor)

Poveznice na cjeloviti tekst rada:

doi dx.doi.org

Citiraj ovu publikaciju:

Posavec, Kristijan; Parlov, Jelena; Nakić, Zoran
Fully Automated Objective-Based Method for Master Recession Curve Separation // Ground water, 48 (2010), 4; 598-603 doi:10.1111/j.1745-6584.2009.00669.x (međunarodna recenzija, članak, znanstveni)
Posavec, K., Parlov, J. & Nakić, Z. (2010) Fully Automated Objective-Based Method for Master Recession Curve Separation. Ground water, 48 (4), 598-603 doi:10.1111/j.1745-6584.2009.00669.x.
@article{article, author = {Posavec, Kristijan and Parlov, Jelena and Naki\'{c}, Zoran}, year = {2010}, pages = {598-603}, DOI = {10.1111/j.1745-6584.2009.00669.x}, keywords = {recession analysis, baseflow separation, Microsoft Excel, Visual Basic for Application}, journal = {Ground water}, doi = {10.1111/j.1745-6584.2009.00669.x}, volume = {48}, number = {4}, issn = {0017-467X}, title = {Fully Automated Objective-Based Method for Master Recession Curve Separation}, keyword = {recession analysis, baseflow separation, Microsoft Excel, Visual Basic for Application} }
@article{article, author = {Posavec, Kristijan and Parlov, Jelena and Naki\'{c}, Zoran}, year = {2010}, pages = {598-603}, DOI = {10.1111/j.1745-6584.2009.00669.x}, keywords = {recession analysis, baseflow separation, Microsoft Excel, Visual Basic for Application}, journal = {Ground water}, doi = {10.1111/j.1745-6584.2009.00669.x}, volume = {48}, number = {4}, issn = {0017-467X}, title = {Fully Automated Objective-Based Method for Master Recession Curve Separation}, keyword = {recession analysis, baseflow separation, Microsoft Excel, Visual Basic for Application} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • Abstracts in Anthropology
  • AGRICOLA
  • CA Search (Chemical Abstracts)
  • Computer and Information Systems Abstracts
  • Geobase
  • GeoRef
  • MEDLINE
  • METADEX: Metals Science
  • Meteorological and Geoastrophysical Abstracts


Citati:





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