AI-Driven Environmental Pollution Management

This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and...

全面介绍

Saved in:
书目详细资料
企业作者: SpringerLink (Online service)
其他作者: Tiwari, Shashi Kant (Editor), Fegade, Atul (Editor), Kamal, Mustafa (Editor)
格式: 电子 电子书
语言:英语
出版: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
版:1st ed. 2025.
丛编:Climate Risks and Solutions,
主题:
在线阅读:https://doi.org/10.1007/978-3-031-96243-1
标签: 添加标签
没有标签, 成为第一个标记此记录!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-96243-1
003 DE-He213
005 20260810153230.0
007 cr nn 008mamaa
008 251001s2025 sz | o |||| 0|eng d
020 |a 9783031962431  |9 978-3-031-96243-1 
024 7 |a 10.1007/978-3-031-96243-1  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a AI-Driven Environmental Pollution Management  |h [electronic resource] /  |c edited by Shashi Kant Tiwari, Atul Fegade, Mustafa Kamal. 
250 |a 1st ed. 2025. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2025. 
300 |a 1 online resource (XVII, 297 p. 79 illus.).  |b 71 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
341 0 |b PDF/UA-1  |2 onix 
341 0 |b Table of contents navigation  |2 onix 
341 0 |b Single logical reading order  |2 onix 
341 0 |b Short alternative textual descriptions  |2 onix 
341 0 |b Use of color is not sole means of conveying information  |2 onix 
341 0 |b Use of high contrast between text and background color  |2 onix 
341 0 |b Next / Previous structural navigation  |2 onix 
341 0 |b All non-decorative content supports reading without sight  |2 onix 
347 |a text file  |b PDF  |2 rda 
490 1 |a Climate Risks and Solutions,  |x 3005-1673 
505 0 |a Understanding Environmental Pollution -- Advanced Monitoring Techniques -- Artificial Intelligence In Pollution Management -- Economic And Sustainable Solutions -- Technological Innovations For Sustainability -- Index. 
520 |a This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource navigates the social, policy, and economic implications of employing AI in environmental governance, emphasizing the importance of global cooperation for effective pollution management. The book will help readers to:1. Understand the adverse effect of environmental pollution in the era of new age. 2. Implement advanced management techniques that integrate sustainability into various environmental business economics.3. Explore effective environmental control and mitigation strategies using Internet of Things technologies and data analytics.4. Leverage AI/ML/DL for accurate environmental monitoring, modelling, prediction and decision-making.5. Navigate the complexities of Industry 4.0 to achieve sustainable development goals. 
532 8 |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
588 |a Print version record. 
650 0 |a Artificial intelligence. 
650 0 |a Environmental management. 
650 0 |a Machine learning. 
650 0 |a Pollution. 
650 0 |a Biogeography. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Environmental Management. 
650 2 4 |a Machine Learning. 
650 2 4 |a Pollution. 
650 2 4 |a Biogeosciences. 
700 1 |a Tiwari, Shashi Kant.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Fegade, Atul.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Kamal, Mustafa.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031962424 
776 0 8 |i Printed edition:  |z 9783031962448 
776 0 8 |i Printed edition:  |z 9783031962455 
830 0 |a Climate Risks and Solutions,  |x 3005-1673 
856 4 0 |u https://doi.org/10.1007/978-3-031-96243-1 
912 |a ZDB-2-EES 
912 |a ZDB-2-SXEE 
912 |a ZDB-2-248 
950 |a Earth and Environmental Science (SpringerNature-11646) 
950 |a Earth and Environmental Science (R0) (SpringerNature-43711) 
950 |a Focus Bundle Artificial Intelligence (SpringerNature-85418)