Estimation of irrigation water quality index with development of an optimum model: a case study

YILDIZ S., KARAKUŞ C. B.

Environment, Development and Sustainability, cilt.22, sa.5, ss.4771-4786, 2020 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 5
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s10668-019-00405-5
  • Dergi Adı: Environment, Development and Sustainability
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, International Bibliography of Social Sciences, PASCAL, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, Geobase, Greenfile, Index Islamicus, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.4771-4786
  • Anahtar Kelimeler: Artificial neural network, Irrigation water quality index, Multiple regression, ARTIFICIAL NEURAL-NETWORK, SURFACE-WATER, GROUNDWATER QUALITY, HYDROCHEMICAL ASSESSMENT, LINEAR-REGRESSION, RIVER-BASIN, PREDICTION, PURPOSES, SUITABILITY, PARAMETERS
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet