Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction

Released on by Vitali Diaz Mercado
preview-18

  • Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction Book Detail

  • Author : Vitali Diaz Mercado
  • Release Date : 2022-02-10
  • Publisher : CRC Press
  • Genre : Science
  • Pages : 135
  • ISBN 13 : 100061283X
  • File Size : 26,26 MB
DOWNLOAD BOOK

Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction by Vitali Diaz Mercado PDF Summary

Book Description: Studies of drought have increased in light of new data availability and advances in spatio-temporal analysis. However, the following gaps still need to be filled: 1) methods to characterise drought that explicitly consider its spatio-temporal features, such as spatial extent (area) and pathway; 2) methods to monitor and predict drought that include the above-mentioned characteristics and 3) approaches for visualising and analysing drought characteristics to facilitate interpretation of its variation. This research aims to explore, analyse and propose improvements to the spatio-temporal characterisation of drought. Outcomes provide new perspectives towards better prediction. The following objectives were proposed. 1) Improve the methodology for characterising drought based on the phenomenon’s spatial features. 2) Develop a visual approach to analysing drought variations. 3) Develop a methodology for spatial drought tracking. 4) Explore machine learning (ML) techniques to predict crop-yield responses to drought. The four objectives were addressed and results are presented. Finally, a scope was formulated for integrating ML and the spatio-temporal analysis of drought. Proposed scope opens a new area of potential for drought prediction (i.e. predicting spatial drought tracks and areas). It is expected that the drought tracking and prediction method will help populations cope with drought and its severe impacts.

Disclaimer: www.yourbookbest.com does not own Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Hydrological Drought

Hydrological Drought

File Size : 22,22 MB
Total View : 5017 Views
DOWNLOAD

Hydrological Drought: Processes and Estimation Methods for Streamflow and Groundwater, Second Edition provides a comprehensive review of processes and estimatio

Hydrological Drought

Hydrological Drought

File Size : 22,22 MB
Total View : 2355 Views
DOWNLOAD

The majority of the examples are taken from regions where the rivers run most of the year.