LEADER 03180nam  22006135  450 
001 9910377829603321
005 20250609110104.0
010   $a981-15-3485-3
024 7 $a10.1007/978-981-15-3485-0
035   $a(CKB)4100000010480125
035   $a(DE-He213)978-981-15-3485-0
035   $a(MiAaPQ)EBC6121730
035   $a(PPN)242977421
035   $a(MiAaPQ)EBC6120886
035   $a(EXLCZ)994100000010480125
100   $a20200221d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aWater Quality Index Prediction Using Multiple Linear Fuzzy Regression Model $eCase Study in Perak River, Malaysia /$fby Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XII, 55 p. 18 illus., 16 illus. in color.) 
225 1 $aSpringerBriefs in Water Science and Technology,$x2194-7244
311 08$a981-15-3484-5 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.
330   $aThis book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear regression model to tackle the uncertainty in the measurements of six key parameters ? dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), pH value (pH) and ammoniacal nitrogen (NH3-NL). Given its scope, the book is suitable for graduate students, researchers and water quality scientists.
410  0$aSpringerBriefs in Water Science and Technology,$x2194-7244
606   $aWater$xPollution
606   $aWater quality
606   $aComputational intelligence
606   $aWaste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution$3https://scigraph.springernature.com/ontologies/product-market-codes/U35040
606   $aWater Quality/Water Pollution$3https://scigraph.springernature.com/ontologies/product-market-codes/212000
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
615  0$aWater$xPollution.
615  0$aWater quality.
615  0$aComputational intelligence.
615 14$aWaste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution.
615 24$aWater Quality/Water Pollution.
615 24$aComputational Intelligence.
676   $a363.7394
676   $a363.73946
700   $aKarim$b Samsul Ariffin Abdul$4aut$4http://id.loc.gov/vocabulary/relators/aut$0947685
702   $aKamsani$b Nur Fatonah$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910377829603321
996   $aWater Quality Index Prediction Using Multiple Linear Fuzzy Regression Model$92141294
997   $aUNINA