Description

Book Synopsis

This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests.

The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends.

About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other.

This book is aimed at researchers, scientists and government organizations working in the field of climate change.



Table of Contents

Chapter 1. Introduction.- Chapter 2. Literature survey.- Chapter 3. Study area and data collection.- Chapter 4. Methodology.- Chapter 5. Computations.- Chapter 6. Results and discussion.- Chapter 7. Conclusion.

Spatio-temporal Trend Analysis of Rainfall using

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    A Paperback / softback by K. Naveena, Ramiz Tasiya, Shilpesh Rana

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      Book details

      Publisher Springer International Publishing AG
      Published 16 November 2023
      ISBN-13 9783031482588
      978-3031482588
      ISBN-10 3031482581
      Also in:
      Computing Mathematical and statistical software Earth Sciences, Geography & Environment Geographical information systems Meteorology and climatology

      Description

      Book Synopsis

      This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests.

      The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends.

      About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other.

      This book is aimed at researchers, scientists and government organizations working in the field of climate change.



      Table of Contents

      Chapter 1. Introduction.- Chapter 2. Literature survey.- Chapter 3. Study area and data collection.- Chapter 4. Methodology.- Chapter 5. Computations.- Chapter 6. Results and discussion.- Chapter 7. Conclusion.

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