Emerging Technologies for Water Supply, Conservation and Management
This book deals with the role of emerging technologies such as remote sensing and GIS and artificial intelligence/machine learning in water supply, conservation and management for sustainable development. These are low-cost new technologies that address current challenges dealing with large data set...
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| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edition: | 1st ed. 2023. |
| Series: | Springer Water,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-35279-9 |
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| 001 | 978-3-031-35279-9 | ||
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| 020 | |a 9783031352799 |9 978-3-031-35279-9 | ||
| 024 | 7 | |a 10.1007/978-3-031-35279-9 |2 doi | |
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| 245 | 1 | 0 | |a Emerging Technologies for Water Supply, Conservation and Management |h [electronic resource] / |c edited by Etikala Balaji, Golla Veeraswamy, Prasad Mannala, Sughosh Madhav. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIV, 384 p. 99 illus.). |b 85 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 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 Springer Water, |x 2364-8198 | |
| 505 | 0 | |a Assessment of Water Consumers Literacy -- Machine learning applications in sustainable water resource management: A systematic review -- Remote Sensing and Machine Learning Applications for the Assessment of Urban Water Stress: A Review -- Role of Artificial Intelligence in Water Conservation with special reference to India -- Remote sensing and GIS based techniques for monitoring and conserving water on newly developed farmlands -- A Comprehensive Review on Mapping of Groundwater Potential Zones: Past, present and future recommendations -- Geographic Information System and Remote Sensing in deciphering groundwater potential zones -- Remote Sensing & GIS based monitoring and management of coastal aquifers and ecosystem -- Hydrogeomorphological mapping of groundwater potential zones using multi-influence factor (MIF) and GIS techniques: A case study of Vishav watershed, western Himalayas -- GIS-based disaster risk analysis of floods using certainty factor (CF) and its ensemble with deep learning neural network (DLNN): A case study of Dima Hasao district of Assam -- Geospatial and Analytical Hierarchical Techniques to assess the groundwater potential areas in Kanyakumari district, Tamil Nadu -- Application of Remote Sensing and GIS in Mapping Groundwater Potential Zones through Fuzzy Integration in Kodavanar Watershed, A part of Amaravathi Basin, Tamil Nadu -- Morphometric analysis using geospatial techniques in the Pandameru River Basin, Anantapur District, Andhra Pradesh, India -- Ground Water Quality assessment using Water Quality Index and Geographical Information System of Mogamureru River Basin, Y.S.R. District, A.P., India -- Using Geo-spatial Technologies for Land and Water Resource Development Planning: A Case Study of Tirora Tehsil, India -- Delineation of Seawater Intrusion into freshwater aquifers by using VES & GIS in the Kakinada Region, East Godavari District, Andhra Pradesh,India -- . Systematic approach of groundwater resources assessment using remote sensing and multi-influence factor (MIF) techniques in Medchal Mandal, Telangana State, India -- Remote sensing snd GIS Application for Rainwater Harvesting and Groundwater Recharge to Secure Sustainable Groundwater Future of Adikavi Nannaya University, Rajamahendravaram, India. | |
| 520 | |a This book deals with the role of emerging technologies such as remote sensing and GIS and artificial intelligence/machine learning in water supply, conservation and management for sustainable development. These are low-cost new technologies that address current challenges dealing with large data sets, such as identifying spatial and temporal variations in water quality parameters and contaminants, groundwater potential zones and water supply and management issues. This book is helpful to show the paths of reducing the burden of time and cost and is the alternative options for the conventional practices in water supply, conservation and management. Further, the outcomings of this book are helpful for policy makers, researchers and readers. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. 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. | |
| 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 Geophysics. | |
| 650 | 0 | |a Water. | |
| 650 | 0 | |a Hydrology. | |
| 650 | 0 | |a Environmental management. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Geophysics. |
| 650 | 2 | 4 | |a Water. |
| 650 | 2 | 4 | |a Environmental Management. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Balaji, Etikala. |e editor. |0 (orcid)0000-0001-6755-6562 |1 https://orcid.org/0000-0001-6755-6562 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Veeraswamy, Golla. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Mannala, Prasad. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Madhav, Sughosh. |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 9783031352782 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031352805 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031352812 |
| 830 | 0 | |a Springer Water, |x 2364-8198 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-35279-9 |
| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||