Handbook of Digitalization and Big Data in the Water Sector: Emerging Opportunities and Challenges in Net Zero Emissions (Volume 2)
暫譯: 水資源領域數位化與大數據手冊：淨零排放中的新興機遇與挑戰（第二卷）
Kurniawan, Tonni Agustiono, Anouzla, Abdelkader
- 出版商: CRC
- 出版日期: 2026-03-31
- 售價: $9,310
- 貴賓價: 9.8 折 $9,123
- 語言: 英文
- 頁數: 250
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032880678
- ISBN-13: 9781032880679
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相關分類:
大數據 Big-data、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This three-volume set delves into the intersection of cutting-edge technology and environmental science to address pressing challenges in the water sector and develop digitalization solutions that can have practical implementation in decision-making and management of wastewater treatment.
With special emphasis on the integration of big data, artificial intelligence (AI), and machine learning (ML), Volume 1 provides theoretical, foundational, and practical insights for water systems optimization, resource conservation, and sustainable operations; Volume 2 explores pathways to a sustainable, low-carbon future by emphasizing predictive maintenance, energy-efficient operations, leak detection, and climate-adaptive planning; and Volume 3 pursues real-world applications in water supply, wastewater treatment, and flood management through a host of diverse and well-researched case studies.
Ideal for water engineers, researchers, policymakers, and sustainability practitioners, this handbook serves as an essential guide for professionals seeking to harness digitalization for smarter, data-driven water management. It is equally valuable for graduate students, academics, and technology innovators interested in bridging the gap between emerging AI capabilities and practical water sector applications.
商品描述(中文翻譯)
這套三卷本的書籍深入探討尖端技術與環境科學的交集，以應對水資源領域的緊迫挑戰，並開發可在污水處理的決策與管理中實際應用的數位化解決方案。
第一卷特別強調大數據、人工智慧 (AI) 和機器學習 (ML) 的整合，提供水系統優化、資源保護和可持續運營的理論、基礎和實踐見解；第二卷則通過強調預測性維護、能源效率運營、漏水檢測和氣候適應性規劃，探索通往可持續、低碳未來的途徑；第三卷則通過一系列多樣且經過充分研究的案例研究，追求在水供應、污水處理和洪水管理中的實際應用。
這本手冊非常適合水工程師、研究人員、政策制定者和可持續性實踐者，作為專業人士尋求利用數位化進行更智能、數據驅動的水資源管理的必備指南。對於研究生、學者和對新興 AI 能力與實際水資源領域應用之間的橋接感興趣的技術創新者來說，這本書同樣具有重要價值。
作者簡介
Tonni Agustiono Kurniawan is a recognized global leader in tackling complex environmental problems that have significant societal relevance and positive impact in the world. His focus on sustained scientific research is evident from more than 355 journal articles, 25 articles in conference proceedings, 12 monographs, and 28 book chapters. To date, Kurniawan is the first author of 15% of the works with an h-index of 68 and citations of over 19,500 counts (Scopus), while being the corresponding author of one-third of the same works. The scientific contributions are tangible manifestations of his competence and research impact in the discipline.
Abdelkader Anouzla earned his Ph.D. in Science and Technology from Hassan II University - Faculty of Science and Technology Mohammedia, specializing in water treatment. He has published almost 100 peer-reviewed articles and 20 books. He has been invited as a guest speaker to several conferences and has also published his research in numerous proceedings. His research interests include water and waste treatment, wastewater treatment plant operation, leachate discharge treatment, solid waste sorting, technical landfill management, composting of solid waste and sludge from wastewater treatment plants, water-food-energy nexus, microplastic pollution, digitalization in the water sector, and nitrogen pollution.
作者簡介(中文翻譯)
Tonni Agustiono Kurniawan 是一位公認的全球領導者，專注於解決具有重大社會相關性和積極影響的複雜環境問題。他對持續科學研究的專注從超過 355 篇期刊文章、25 篇會議論文、12 本專著和 28 章書籍中可見一斑。迄今為止，Kurniawan 是 15% 作品的第一作者，擁有 68 的 h- 指數和超過 19,500 次的引用（Scopus），同時也是三分之一作品的通訊作者。這些科學貢獻是他在該領域能力和研究影響的具體體現。
Abdelkader Anouzla 獲得了哈桑二世大學 - 科學與技術學院的科學與技術博士學位，專攻水處理。他已發表近 100 篇經過同行評審的文章和 20 本書籍。他曾受邀擔任多個會議的嘉賓演講者，並在許多會議論文集中發表了他的研究。他的研究興趣包括水和廢物處理、污水處理廠運營、滲濾液排放處理、固體廢物分類、技術性垃圾填埋場管理、固體廢物和污水處理廠污泥的堆肥化、水-食物-能源聯結、微塑料污染、水資源領域的數位化以及氮污染。
