Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 879212

Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability


Halkijević, Ivan; Vuković, Živko; Vouk, Dražen
Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability // Water resources management, 31 (2017), 12; 3683-3698 doi:10.1007/s11269-017-1695-5 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 879212 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability

Autori
Halkijević, Ivan ; Vuković, Živko ; Vouk, Dražen

Izvornik
Water resources management (0920-4741) 31 (2017), 12; 3683-3698

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

Ključne riječi
Water supply systemsustainability ; Sustainability quantification ; Sustainability indicators ; Neuro-fuzzy evaluation of sustainability

Sažetak
In the field of water management, the evaluation of sustainability has no universal methodological approach nor any consensus regarding the definitions of sustainability or sustainable development. There is an essential need therefore for a precise definition of sustainability in different water management fields. This paper deals with the sustainability of one part of urban water management, namely a water supply. A precise definition of a sustainable water supply system is given, together with a methodological framework that quantifies the degree of water supply sustainability. The proposed framework relies on the proposed quasi-strong sustainability concept, its components (dimensions), their particular relationships and corresponding indicators representing individual processes in the water supply system and utility. The processing of indicators is performed through a joint fuzzy logic/neural network (ANFIS) model. In order to evaluate each sustainability component, separate ANFIS models were created whose results were aggregated into a single result (sustainability index). According to the presented framework, sustainability is evaluated for 17 public water supply systems/utilities in Croatia.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove:
Građevinski fakultet, Zagreb

Profili:

Avatar Url Živko Vuković (autor)

Avatar Url Dražen Vouk (autor)

Avatar Url Ivan Halkijević (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com doi.org

Citiraj ovu publikaciju:

Halkijević, Ivan; Vuković, Živko; Vouk, Dražen
Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability // Water resources management, 31 (2017), 12; 3683-3698 doi:10.1007/s11269-017-1695-5 (međunarodna recenzija, članak, znanstveni)
Halkijević, I., Vuković, Ž. & Vouk, D. (2017) Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability. Water resources management, 31 (12), 3683-3698 doi:10.1007/s11269-017-1695-5.
@article{article, author = {Halkijevi\'{c}, Ivan and Vukovi\'{c}, \v{Z}ivko and Vouk, Dra\v{z}en}, year = {2017}, pages = {3683-3698}, DOI = {10.1007/s11269-017-1695-5}, keywords = {Water supply systemsustainability, Sustainability quantification, Sustainability indicators, Neuro-fuzzy evaluation of sustainability}, journal = {Water resources management}, doi = {10.1007/s11269-017-1695-5}, volume = {31}, number = {12}, issn = {0920-4741}, title = {Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability}, keyword = {Water supply systemsustainability, Sustainability quantification, Sustainability indicators, Neuro-fuzzy evaluation of sustainability} }
@article{article, author = {Halkijevi\'{c}, Ivan and Vukovi\'{c}, \v{Z}ivko and Vouk, Dra\v{z}en}, year = {2017}, pages = {3683-3698}, DOI = {10.1007/s11269-017-1695-5}, keywords = {Water supply systemsustainability, Sustainability quantification, Sustainability indicators, Neuro-fuzzy evaluation of sustainability}, journal = {Water resources management}, doi = {10.1007/s11269-017-1695-5}, volume = {31}, number = {12}, issn = {0920-4741}, title = {Indicators and a Neuro-Fuzzy Based Model for the Evaluation of Water Supply Sustainability}, keyword = {Water supply systemsustainability, Sustainability quantification, Sustainability indicators, Neuro-fuzzy evaluation of sustainability} }

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


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font