Hydrological Processes Modelling and Data Analysis: A Primer: 127 (Water Science and Technology Library, 127) - Image 1

£65.26

Springer Hydrological Processes Modelling and Data Analysis: A Primer: 127 (Water Science and Technology Library, 127)

Name: https://www.amazon.co.uk/dp/B0DXL7WSKP?tag=tosheroon-21
Brand: Springer
Price: 65.26 GBP
Availability: InStock

Meteorology

Price History & Forecast

Last 45 days • 45 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 45 days • 1 price levels

Days at Price

Price Analysis

Most common price: £65 (45 days, 100.0%)

Price range: £65 - £65

Price levels: 1 different prices over 45 days

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9819713153
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Meteorology
Domain: Amazon UK
Release Date: 02 April 2024
Listed Since: 30 January 2024

Barcode

No barcode data available

Springer Hydrological Processes Modelling and Data Analysis: A Primer: 127 (Water Science and Technology Library, 127)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer - Distributed Hydrological Modelling: 22 Book

Distributed Hydrological Modelling: 22 (Water Science and Technology Library, 22)

Hydroinformatics

Advances in Streamflow Forecasting: From Traditional to Modern Approaches

Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering: 67 (Water Science and Technology Library, 67)

Hydrology and Water Resource Systems Analysis

Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology and Environmental Engineering: 10/3 (Water Science and Technology Library, 10/3)

Handbook of Engineering Hydrology: Modeling, Climate Change, and Variability

Remote Sensing in Hydrology and Water Management

Hydraulics, Hydrology and Environmental Engineering

Multiscale Hydrologic Remote Sensing: Perspectives and Applications

Hydrologic Modeling: Select Proceedings of ICWEES-2016: 81 (Water Science and Technology Library, 81)

Modeling Hydrologic Change: Statistical Methods

Deep Learning for Hydrometeorology and Environmental Science: 99 (Water Science and Technology Library, 99)

Kinematic Hydrology and Modelling

Introduction to Quantitative Hydrology

Practical and Applied Hydrogeology

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Handbook of Engineering Hydrology: Environmental Hydrology and Water Management

Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling (IHE Delft PhD Thesis Series)

Remote Sensing of Hydrological Extremes (Springer Remote Sensing/Photogrammetry)

Remote Sensing of Hydrological Extremes (Springer Remote Sensing/Photogrammetry)