globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2017.11.051
Scopus记录号: 2-s2.0-85035127240
论文题名:
Long-term evaluation of water quality parameters of the Karoun River using a regression approach and the adaptive neuro-fuzzy inference system
作者: Mahmoodabadi M.; Rezaei Arshad R.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
卷: 126
起始页码: 372
结束页码: 380
语种: 英语
英文关键词: ANFIS ; Chemical water quality ; The Karoun River ; Trend analysis
Scopus关键词: Chemical analysis ; Fuzzy inference ; Fuzzy neural networks ; Fuzzy systems ; Hydrochemistry ; Parameter estimation ; Quality control ; Rivers ; Water quality ; Adaptive neuro-fuzzy inference system ; ANFIS ; Chemical water ; Long-term evaluation ; Rate of increase ; Trend analysis ; Water discharges ; Water quality parameters ; Water resources ; calcium ion ; chlorine ; magnesium ion ; sodium ; sodium chloride ; water ; artificial neural network ; regression analysis ; river discharge ; river water ; trend analysis ; water quality ; Article ; chemical parameters ; controlled study ; fuzzy system ; Iran ; pH ; river ; trend study ; water quality ; Iran
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: This paper investigates chemical water quality parameters of the Karoun, the greatest and the most important river of Iran, during a 48-year period, from 1968 to 2015. Water discharge (Q) fluctuates between 191.1 m3 s− 1 and 1758.7 m3 s− 1, with a decreasing trend over the 48-year period. Except pH, other water quality parameters increased, significantly, so that the rate of increase for EC and TDS was 25.71 μS cm− 1 y− 1 and 16.66 mg l− 1 y− 1, respectively. Moreover, SO4 − 2, HCO3 −, Cl−, Ca+ 2, Mg+ 2 and Na+ have increased by 0.116, 0.012, 0.151, 0.066, 0.052 and 0.168 meq l− 1 y− 1, respectively. Result indicated that water discharge can be a satisfactory predictor of chemical water quality parameters in this river. It was finally concluded when water discharge of the river decreases to less than ~ 500 m3 s− 1, the vales of water salinity (EC and TDS) and soluble salts will increase, severely. © 2017
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88636
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Department of Soil Science, Agriculture Faculty, Shahid Bahonar University of Kerman, Kerman, Iran

Recommended Citation:
Mahmoodabadi M.,Rezaei Arshad R.. Long-term evaluation of water quality parameters of the Karoun River using a regression approach and the adaptive neuro-fuzzy inference system[J]. Marine Pollution Bulletin,2018-01-01,126
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