商品描述
This book offers a comprehensive overview of the state-of-the-art techniques for monitoring water quality, leveraging artificial intelligence (AI), IoT technologies, and autonomous vehicles to offer groundbreaking approaches to environmental protection. With contributions from leading experts in electronic engineering and marine sciences, this book presents a multidisciplinary perspective on solving one of the most pressing issues facing our planet: ensuring clean and sustainable water resources. The chapters cover key concepts such as AI-driven platforms for ecosystem surveillance; chemical analytics for detecting pollutants; and predictive models for assessing future water quality scenarios. Particular attention is given to autonomous systems for dynamic data collection, where readers will learn more about the potential and research challenges of autonomous vehicles equipped with physico-chemical sensors and vision cameras to collect real-time data. Through empirical research and theoretical insights, this book invites readers to explore innovative methodologies that promise not only to enhance understanding of water ecosystems but also to revolutionize how to monitor them. Aimed at scholars and professionals across disciplines such as environmental engineering, marine science, sustainability studies, and information technology with an interest in ecological preservation, the book offers invaluable insights into developing effective monitoring systems that can adapt to the challenges posed by global environmental change. It also serves as an essential resource for institutions seeking to equip their libraries with the latest scientific advancements in water ecosystem management.
商品描述(中文翻譯)
本書提供了監測水質的最先進技術的全面概述，利用人工智慧（AI）、物聯網（IoT）技術和自動駕駛車輛，為環境保護提供了突破性的解決方案。書中匯集了電子工程和海洋科學領域的領先專家的貢獻，從多學科的角度探討解決我們星球面臨的最迫切問題之一：確保清潔和可持續的水資源。
各章節涵蓋了關鍵概念，例如基於AI的平台進行生態系統監測；用於檢測污染物的化學分析；以及評估未來水質情境的預測模型。特別關注於用於動態數據收集的自動系統，讀者將了解配備物理化學傳感器和視覺攝像頭的自動駕駛車輛在收集實時數據方面的潛力和研究挑戰。
通過實證研究和理論見解，本書邀請讀者探索創新的方法論，這些方法不僅有助於增進對水生態系統的理解，還有可能徹底改變監測水生態系統的方式。
本書針對環境工程、海洋科學、可持續性研究和信息技術等學科的學者和專業人士，特別是對生態保護感興趣的讀者，提供了寶貴的見解，幫助開發能夠適應全球環境變化挑戰的有效監測系統。它同時也是希望為其圖書館配備最新水生態系統管理科學進展的機構的重要資源。
作者簡介
Daniel Gutiérrez is a Full Professor at the Electronic Engineering Department of University of Seville, Spain, and his current research interests include the application of meta-heuristic, machine learning, and deep algorithms to solve water monitoring problems using autonomous systems. With a M.S. degree in Electronics and Telecommunications, and a Ph.D. in Electronic Engineering from the University of Seville, Seville, Spain, Dr. Gutiérrez was previously a Visitor Researcher with Liverpool John Moores University, U.K., the Free University of Berlin, Germany, the Colorado School of Mines, USA, and Leeds Beckett University, U.K. He was also an Assistant Professor with Loyola University, Spain, from October 2018 to April 2019. He has published 60+ JCR publications in the field and contributes as editorial board of several international journals. Pablo Millán is the Director of the School of Engineering of Universidad Loyola Andalucía, Spain, and co-lead of the Optimization and Control of Distributed Systems (ODS) Research Group. Dr. Millán is a leading expert in intelligent systems and sustainable technologies, with over 60 research publications and leadership in major national and European R&D projects, including pioneering initiatives like AQUATRONC and ECOPORT, which advanced the control of autonomous marine vehicle fleets, and IRRIGATE, funded by the 2019 Andalusian R&D Call, which deals with the application of control and AI in smart agriculture. His international collaborations with institutions like KTH (Sweden), CNRS-LAAS (France), and Marquette University (USA) have enriched his global perspective on sustainable technology solutions, and his work has not only shaped academic discourse but also empowered communities--from Andalusia to Paraguay--through intelligent, scalable technologies. Julián Blasco is a Research Professor and he was Director of the Institute for Marine Sciences of Andalusia from the Spanish Research Council (ICMAN-CSIC) from 2015-2023, and leader of the research group "Ecotoxicology, Ecophysiology and Biodiversity of Aquatic Systems". He was President of the Iberoamerican Society of Environmental Contamination and Toxicology, and a member of the SETAC Europe Council. Prof. Blasco has been involved in 60+ research projects and 25+ research contracts at national and international levels, and has published 250+ scientific articles in peer-reviewed journals. He is co-editor in Chief of Marine Environmental Research journal and associate editor of several journals (e.g. Science of the Total Environment and Environmental Toxicology and Chemistry, among others). He has also contributed to several book chapters, and co-edited the book Sunscreens in Coastal Ecosystems: Occurrence, Behavior, Effect and Risk, and the textbook Marine Analytical Chemistry, published by Springer in 2020 and 2023, respectively.
作者簡介(中文翻譯)
丹尼爾·古鐵雷斯是西班牙塞維利亞大學電子工程系的全職教授，他目前的研究興趣包括應用元啟發式演算法、機器學習和深度學習演算法來解決使用自主系統的水質監測問題。古鐵雷斯博士擁有電子與電信碩士學位及西班牙塞維利亞大學電子工程博士學位，曾擔任英國利物浦約翰摩爾斯大學、德國柏林自由大學、美國科羅拉多礦業學院及英國利茲貝克特大學的訪問研究員。他還曾於2018年10月至2019年4月擔任西班牙洛約拉大學的助理教授。他在該領域發表了60多篇JCR期刊論文，並擔任多本國際期刊的編輯委員會成員。
巴勃羅·米蘭是西班牙洛約拉安達盧西亞大學工程學院的院長，也是分散系統優化與控制（ODS）研究小組的共同負責人。米蘭博士是智能系統和可持續技術的領先專家，擁有60多篇研究出版物，並在多個國家和歐洲的研發項目中擔任領導角色，包括開創性計劃如AQUATRONC和ECOPORT，這些計劃推進了自主海洋車隊的控制，以及由2019年安達盧西亞研發計劃資助的IRRIGATE，該計劃涉及控制和人工智慧在智慧農業中的應用。他與KTH（瑞典）、CNRS-LAAS（法國）和馬凱特大學（美國）等機構的國際合作，豐富了他對可持續技術解決方案的全球視野，他的工作不僅塑造了學術討論，還通過智能、可擴展的技術賦能社區——從安達盧西亞到巴拉圭。
胡利安·布拉斯科是研究教授，曾於2015年至2023年擔任西班牙研究委員會（ICMAN-CSIC）安達盧西亞海洋科學研究所的所長，並領導“水生系統的生態毒理學、生態生理學和生物多樣性”研究小組。他曾擔任伊比利亞美洲環境污染與毒理學會的會長，並是SETAC歐洲理事會的成員。布拉斯科教授參與了60多個國內外研究項目和25個以上的研究合約，並在同行評審期刊上發表了250多篇科學文章。他是《海洋環境研究》期刊的共同主編，並擔任多本期刊的副編輯（例如《環境總科學》和《環境毒理學與化學》等）。他還為多個書籍章節做出貢獻，並共同編輯了《沿海生態系統中的防曬霜：出現、行為、影響與風險》一書，以及2020年和2023年由Springer出版的教科書《海洋分析化學》。
