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|a eng
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|a Gazzaz, Nabeel M
|e verfasserin
|4 aut
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|a Water quality assessment and analysis of spatial patterns and temporal trends
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|c 2013
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|a Text
|b txt
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|a ohne Hilfsmittel zu benutzen
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|a Date Completed 27.09.2013
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a This study investigated relationships of a water quality index (WQI) with multiple water quality variables (WQVs), explored variability in water quality over time and space, and established linear and non-linear models predictive of WQI from raw WQVs. Data were processed using Spearman's rank correlation analysis, multiple linear regression, and artificial neural network modeling. Correlation analysis indicated that from a temporal perspective, the WQI, temperature, and zinc, arsenic, chemical oxygen demand, sodium, and dissolved oxygen concentrations increased, whereas turbidity and suspended solids, total solids, nitrate nitrogen (NO3-N), and biochemical oxygen demand concentrations decreased with year. From a spatial perspective, an increase with distance of the sampling station from the headwater was exhibited by 10 WQVs: magnesium, calcium, dissolved solids, electrical conductivity, temperature, NO3-N, arsenic, chloride, potassium, and sodium. At the same time, the WQI; Escherichia coli bacteria counts; and suspended solids, total solids, and dissolved oxygen concentrations decreased with distance from the headwater. Lastly, regression and artificial neural network models with high prediction powers (81.2% and 91.4%, respectively) were developed and are discussed
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|a Journal Article
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|a Yusoff, Mohd Kamil
|e verfasserin
|4 aut
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|a Juahir, Hafizan
|e verfasserin
|4 aut
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|a Ramli, Mohammad Firuz
|e verfasserin
|4 aut
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|a Aris, Ahmad Zaharin
|e verfasserin
|4 aut
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|i Enthalten in
|t Water environment research : a research publication of the Water Environment Federation
|d 1998
|g 85(2013), 8 vom: 09. Aug., Seite 751-66
|w (DE-627)NLM098214292
|x 1061-4303
|7 nnns
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|g volume:85
|g year:2013
|g number:8
|g day:09
|g month:08
|g pages:751-66
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|d 85
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|e 8
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|h 751-66
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