Hydrological Processes Modelling and Data Analysis
A Primer
Series: Water Science and Technology Library; 127;
- Publisher's listprice EUR 96.29
-
39 936 Ft (38 034 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 7 987 Ft off)
- Discounted price 31 949 Ft (30 427 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
39 936 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2024
- Publisher Springer Nature Singapore
- Date of Publication 2 April 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819713158
- Binding Hardback
- No. of pages285 pages
- Size 235x155 mm
- Language English
- Illustrations XXII, 285 p. 53 illus., 48 illus. in color. Illustrations, black & white 542
Categories
Long description:
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.
MoreTable of Contents:
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.
More
