Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal
暫譯: 水與污水處理系統中的人工智慧：污染去除的建模、優化與控制

Musamba, Banza Jean Claude, Sibali, Linda Lunga, Masindi, Vhahangwele

Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal
  • 出版商: Springer
  • 出版日期: 2026-05-19
  • 售價: $6,580
  • 貴賓價: 9.5 折 $6,251
  • 語言: 英文
  • 頁數: 139
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032223849
  • ISBN-13: 9783032223845
  • 相關分類: Machine Learning

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商品描述

This book presents a comprehensive and practical overview of machine learning-driven adsorption processes for pollution removal from wastewater, with a focus on modeling, optimization, and mechanistic insights. It explores how techniques such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Response Surface Methodology (RSM) can enhance the efficiency of removing heavy metals--including Chromium (VI), Copper (II), Cadmium (II), and Zinc (II)--using biodegradable and nanostructured adsorbents like modified cellulose nanocrystals. Through detailed case studies, experimental methodologies, and comparative analysis of AI algorithms, this book bridges traditional adsorption science with advanced computational approaches, offering valuable tools and insights for researchers, engineers, and practitioners working in environmental science, chemical engineering, and sustainable water treatment.

商品描述(中文翻譯)

本書提供了一個全面且實用的概述，探討基於機器學習的吸附過程在污水污染去除中的應用，重點在於建模、優化和機制洞察。它探討了如人工神經網絡（Artificial Neural Networks, ANN）、自適應神經模糊推理系統（Adaptive Neuro-Fuzzy Inference Systems, ANFIS）和響應面方法（Response Surface Methodology, RSM）等技術如何提升去除重金屬的效率，包括六價鉻（Chromium (VI)）、二價銅（Copper (II)）、二價鎘（Cadmium (II)）和二價鋅（Zinc (II)），使用可生物降解的改性纖維素奈米晶體等奈米結構吸附劑。通過詳細的案例研究、實驗方法學和人工智慧算法的比較分析，本書將傳統的吸附科學與先進的計算方法相結合，為從事環境科學、化學工程和可持續水處理的研究人員、工程師和實務工作者提供了寶貴的工具和見解。

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