Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model : Case Study in Perak River, Malaysia / / by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
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| Autore: |
Karim Samsul Ariffin Abdul
|
| Titolo: |
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model : Case Study in Perak River, Malaysia / / by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (XII, 55 p. 18 illus., 16 illus. in color.) |
| Disciplina: | 363.7394 |
| 363.73946 | |
| Soggetto topico: | Water - Pollution |
| Water quality | |
| Computational intelligence | |
| Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution | |
| Water Quality/Water Pollution | |
| Computational Intelligence | |
| Persona (resp. second.): | KamsaniNur Fatonah |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression. |
| Sommario/riassunto: | This 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. |
| Titolo autorizzato: | Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model |
| ISBN: | 981-15-3485-3 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910377829603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Water Science and Technology, . 2194-7244