Hydrological Processes Modelling and Data Analysis: A Primer
Gespeichert in:
Beteiligte Personen: | , , , , |
---|---|
Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
Singapore Imprint: Springer 2024 |
Ausgabe: | 1st ed. 2024. |
Schriftenreihe: | Water Science and Technology Library
127 |
Schlagwörter: | |
Links: | https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 https://doi.org/10.1007/978-981-97-1316-5 |
Abstract: | Chapter 1. Introduction -- Chapter 2. Data Availability and Acquisition -- Chapter 3. Time-Series Analysis -- Chapter 4. Remote Sensing Driven Data Analysis and Geographic Information Systems (GIS) -- Chapter 5. Climate Change Impact Analysis -- Chapter 6. Land Use Land Cover (LULC) Change Analysis -- Chapter 7. Integrated Modelling Systems -- Chapter 8. Extreme Event Analysis -- Chapter 9. Uncertainty Analysis -- Chapter 10. Machine Learning (ML) /Artificial Intelligence (AI) in Water Resources -- Chapter 11. Emerging Fields in Hydrology -- Chapter 12. Case Study of Examples -- Chapter 13. Way Forward -- Index. This book provides a state-of-the-art overview of the concepts and methodologies of data and modelling-driven hydrological analyses and their wide range of practical applications. The book is driven by the realisation that science, technology, engineering, and mathematics (STEM) concepts are essential in engineering hydrology to produce well-trained hydrologists. Such hydrologists will be equipped to face future societal challenges that require enhanced information and communication technology tools and integration of technical and non-technical areas. The book contains 12 chapters that introduce the principles of hydrological data analysis and highlight the current and emerging tools and techniques for analysing hydrologic data. The book describes the types of data typically used in hydrological analyses. It highlights the revolutionary technological advancements made toward hydrological data collection, including the use of drones and smartphones. The foremost objective of the book is to present the hydrological data analysis procedures. It explains the steps involved in data analysis for easy understanding of the reader, including students and professionals. This book presents case studies that demonstrate step-by-step procedures involved in typical analysis problems and may guide students and professionals in planning and executing steps to analyse the problem at hand. Case study examples will guide them to understand the intricacies of hydrological data analysis. It provides the readers with a complete package to enrich their understanding of the hydrological data analysis tools and techniques. Subsequently, as well-trained hydrologists, they could execute their learning to meet any specific grand challenge of the twenty-first century. |
Umfang: | XVI, 312 Seiten |
ISBN: | 9789819713158 |
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520 | 3 | |a Chapter 1. Introduction -- Chapter 2. Data Availability and Acquisition -- Chapter 3. Time-Series Analysis -- Chapter 4. Remote Sensing Driven Data Analysis and Geographic Information Systems (GIS) -- Chapter 5. Climate Change Impact Analysis -- Chapter 6. Land Use Land Cover (LULC) Change Analysis -- Chapter 7. Integrated Modelling Systems -- Chapter 8. Extreme Event Analysis -- Chapter 9. Uncertainty Analysis -- Chapter 10. Machine Learning (ML) /Artificial Intelligence (AI) in Water Resources -- Chapter 11. Emerging Fields in Hydrology -- Chapter 12. Case Study of Examples -- Chapter 13. Way Forward -- Index. | |
520 | 3 | |a This book provides a state-of-the-art overview of the concepts and methodologies of data and modelling-driven hydrological analyses and their wide range of practical applications. The book is driven by the realisation that science, technology, engineering, and mathematics (STEM) concepts are essential in engineering hydrology to produce well-trained hydrologists. Such hydrologists will be equipped to face future societal challenges that require enhanced information and communication technology tools and integration of technical and non-technical areas. The book contains 12 chapters that introduce the principles of hydrological data analysis and highlight the current and emerging tools and techniques for analysing hydrologic data. The book describes the types of data typically used in hydrological analyses. It highlights the revolutionary technological advancements made toward hydrological data collection, including the use of drones and smartphones. The foremost objective of the book is to present the hydrological data analysis procedures. It explains the steps involved in data analysis for easy understanding of the reader, including students and professionals. This book presents case studies that demonstrate step-by-step procedures involved in typical analysis problems and may guide students and professionals in planning and executing steps to analyse the problem at hand. Case study examples will guide them to understand the intricacies of hydrological data analysis. It provides the readers with a complete package to enrich their understanding of the hydrological data analysis tools and techniques. Subsequently, as well-trained hydrologists, they could execute their learning to meet any specific grand challenge of the twenty-first century. | |
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Datensatz im Suchindex
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any_adam_object | |
author | Singh, Vijay P. 1946- Singh, Rajendra 1921-2003 Paul, P. K. Bisht, Devendra Singh Gaur, Srishti |
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author_facet | Singh, Vijay P. 1946- Singh, Rajendra 1921-2003 Paul, P. K. Bisht, Devendra Singh Gaur, Srishti |
author_role | aut aut aut aut aut |
author_sort | Singh, Vijay P. 1946- |
author_variant | v p s vp vps r s rs p k p pk pkp d s b ds dsb s g sg |
building | Verbundindex |
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edition | 1st ed. 2024. |
format | Book |
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id | DE-604.BV049662384 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T20:18:24Z |
institution | BVB |
isbn | 9789819713158 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035005584 |
oclc_num | 1437878440 |
open_access_boolean | |
owner | DE-634 DE-1046 DE-1028 DE-1050 DE-M347 DE-188 DE-91 DE-BY-TUM DE-384 DE-19 DE-BY-UBM DE-703 DE-824 DE-739 DE-29 |
owner_facet | DE-634 DE-1046 DE-1028 DE-1050 DE-M347 DE-188 DE-91 DE-BY-TUM DE-384 DE-19 DE-BY-UBM DE-703 DE-824 DE-739 DE-29 |
physical | XVI, 312 Seiten |
psigel | ZDB-2-EES ZDB-2-EES_2024 |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Springer Nature Singapore Imprint: Springer |
record_format | marc |
series | Water Science and Technology Library |
series2 | Water Science and Technology Library |
spellingShingle | Singh, Vijay P. 1946- Singh, Rajendra 1921-2003 Paul, P. K. Bisht, Devendra Singh Gaur, Srishti Hydrological Processes Modelling and Data Analysis A Primer Water Science and Technology Library Fallstudiensammlung (DE-588)4522595-3 gnd Datenanalyse (DE-588)4123037-1 gnd Wasserbau (DE-588)4064700-6 gnd Methode (DE-588)4038971-6 gnd Wasser (DE-588)4064689-0 gnd Klimatologie (DE-588)4031178-8 gnd Hydrologie (DE-588)4026309-5 gnd |
subject_GND | (DE-588)4522595-3 (DE-588)4123037-1 (DE-588)4064700-6 (DE-588)4038971-6 (DE-588)4064689-0 (DE-588)4031178-8 (DE-588)4026309-5 |
title | Hydrological Processes Modelling and Data Analysis A Primer |
title_auth | Hydrological Processes Modelling and Data Analysis A Primer |
title_exact_search | Hydrological Processes Modelling and Data Analysis A Primer |
title_full | Hydrological Processes Modelling and Data Analysis A Primer by Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur |
title_fullStr | Hydrological Processes Modelling and Data Analysis A Primer by Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur |
title_full_unstemmed | Hydrological Processes Modelling and Data Analysis A Primer by Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur |
title_short | Hydrological Processes Modelling and Data Analysis |
title_sort | hydrological processes modelling and data analysis a primer |
title_sub | A Primer |
topic | Fallstudiensammlung (DE-588)4522595-3 gnd Datenanalyse (DE-588)4123037-1 gnd Wasserbau (DE-588)4064700-6 gnd Methode (DE-588)4038971-6 gnd Wasser (DE-588)4064689-0 gnd Klimatologie (DE-588)4031178-8 gnd Hydrologie (DE-588)4026309-5 gnd |
topic_facet | Fallstudiensammlung Datenanalyse Wasserbau Methode Wasser Klimatologie Hydrologie |
volume_link | (DE-604)BV000625426 |
work_keys_str_mv | AT singhvijayp hydrologicalprocessesmodellinganddataanalysisaprimer AT singhrajendra hydrologicalprocessesmodellinganddataanalysisaprimer AT paulpk hydrologicalprocessesmodellinganddataanalysisaprimer AT bishtdevendrasingh hydrologicalprocessesmodellinganddataanalysisaprimer AT gaursrishti hydrologicalprocessesmodellinganddataanalysisaprimer |