書目名稱 | Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model |
副標(biāo)題 | Case Study in Perak |
編輯 | Samsul Ariffin Abdul Karim,Nur Fatonah Kamsani |
視頻video | http://file.papertrans.cn/1021/1020994/1020994.mp4 |
概述 | Outlines a step-by-step formula for Water Quality Index (WQI) calculation and fuzzy linear multiple regression.Presents an enhanced fuzzy convex combination for predicting water quality classes.Detail |
叢書名稱 | SpringerBriefs in Water Science and Technology |
圖書封面 |  |
描述 | .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.. |
出版日期 | Book 2020 |
關(guān)鍵詞 | Water Quality Index (WQI); Perak River; Fuzzy Linear Regression; Fuzzy Convex Combination; Multiple Line |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-15-3485-0 |
isbn_softcover | 978-981-15-3484-3 |
isbn_ebook | 978-981-15-3485-0Series ISSN 2194-7244 Series E-ISSN 2194-7252 |
issn_series | 2194-7244 |
copyright | The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2020 |