Groundwater in Arid and Semi-Arid Areas Monitoring, Assessment, Modelling, and Management /
This book provides comprehensive studies from Middle East, African countries and Asia including Afghanistan, Algeria, Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on groundwater management, modelling and monitoring. A broad approach such as modelling, artificial intelligence, machine learning,...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
|
| Ausgabe: | 1st ed. 2023. |
| Schriftenreihe: | Earth and Environmental Sciences Library,
|
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-3-031-43348-1 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-43348-1 | ||
| 003 | DE-He213 | ||
| 005 | 20260810154020.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 231024s2023 sz | o |||| 0|eng d | ||
| 020 | |a 9783031433481 |9 978-3-031-43348-1 | ||
| 024 | 7 | |a 10.1007/978-3-031-43348-1 |2 doi | |
| 050 | 4 | |a TA703-705.4 | |
| 072 | 7 | |a RB |2 bicssc | |
| 072 | 7 | |a SCI019000 |2 bisacsh | |
| 072 | 7 | |a RB |2 thema | |
| 082 | 0 | 4 | |a 624.151 |2 23 |
| 245 | 1 | 0 | |a Groundwater in Arid and Semi-Arid Areas |h [electronic resource] : |b Monitoring, Assessment, Modelling, and Management / |c edited by Shakir Ali, Asaad Mater Armanuos. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (VIII, 368 p. 95 illus.). |b 87 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 | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Earth and Environmental Sciences Library, |x 2730-6682 | |
| 505 | 0 | |a Introduction to “Groundwater in Arid and Semi-arid Areas” -- Groundwater in Arid and Semi-Arid Regions of India: A Review on the Quality, Management and Challenges -- Vulnerability to Pollution of Karstic Aquifers in the Tafna River Basin and Risk Mitigation Strategies (Northwest Algeria) -- Effect of Urbanization on Water Resources: Challenges and Prospects -- Understanding the Challenges: Sustainable Usage of Groundwater Resources in Türkiye -- Application of Geospatial Multicriteria Decision Analysis in the evaluation of groundwater Quality for Irrigation in the Northern sector of Gabes region (SE Tunisia) -- Creation of Rational Groundwater Management Schemes in the Chu Valley of the Kyrgyz Republic Based on Groundwater Modelling -- Applications of Machine Learning Models for Solving Complex Groundwater Modelling, Monitoring and Management Problems -- New Trends in Groundwater Contaminant Transport Modelling -- Groundwater Environment andManagement in Kabul, Afghanistan -- Groundwater in the Nile Delta Aquifer, Egypt: Assessment, Modelling and Management with Climate Change in the Core -- Groundwater Contamination by Fluoride and Mitigation Measures for Sustainable Management of Groundwater in the Indo-Gangetic Plains of India -- Groundwater Quality in Shallow Aquifers of the Sedimentary Plain in Iraq: A Potential Concern for Drinking and Irrigation -- Investigating and Improving Natural Treatment Processes by Riverbank 2 Filtration in Egypt. | |
| 520 | |a This book provides comprehensive studies from Middle East, African countries and Asia including Afghanistan, Algeria, Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on groundwater management, modelling and monitoring. A broad approach such as modelling, artificial intelligence, machine learning, and statistical models was applied in arid and semi-arid areas for management of the groundwater. These new approaches are currently in high demand. The book delves into the applications of these methods and will be a potential asset to the researchers worldwide. The book is a timely publication containing chapters based on primary data or/and extensive review chapters comprising new emerging techniques. Current high-demand research on management through the application of modelling, artificial intelligence and machine learning is the main selling point of this book. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Geotechnical engineering. | |
| 650 | 0 | |a Geology. | |
| 650 | 0 | |a Water. | |
| 650 | 0 | |a Hydrology. | |
| 650 | 0 | |a Environmental monitoring. | |
| 650 | 1 | 4 | |a Geotechnical Engineering and Applied Earth Sciences. |
| 650 | 2 | 4 | |a Geology. |
| 650 | 2 | 4 | |a Water. |
| 650 | 2 | 4 | |a Environmental Monitoring. |
| 700 | 1 | |a Ali, Shakir. |e editor. |0 (orcid)0000-0002-7743-9965 |1 https://orcid.org/0000-0002-7743-9965 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Armanuos, Asaad Mater. |e editor. |0 (orcid)0000-0002-4134-0429 |1 https://orcid.org/0000-0002-4134-0429 |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 9783031433474 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031433498 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031433504 |
| 830 | 0 | |a Earth and Environmental Sciences Library, |x 2730-6682 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-43348-1 |
| 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) | ||