A new comprehensive approach for regional drought monitoring

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Niaz et al. present a new comprehensive approach for regional #drought monitoring Read the full article https://t.co/p6Fy7ryyt8 #Statistics #ResourceManagement https://t.co/TM3zZBabG6
Niaz et al. present a new comprehensive approach for regional #drought monitoring Read the full article https://t.co/T7U1M4z22I #Statistics #ResourceManagement https://t.co/Xp1pZupldr
Environmental Science

Main article text

 

Introduction

Material and Methods

Description of the study area

Data and Methods

Regional intensive continuous drought probability monitoring system (RICDPMS)

Monte carlo feature selection (MCFS)

Drought triggering precipitation thresholds based on SPI

Copulas functions

Results

Discussion

Conclusion

Supplemental Information

Precipitation data for selected stations.

DOI: 10.7717/peerj.13377/supp-1

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Rizwan Niaz conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.

Mohammed M. A. Almazah conceived and designed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Ijaz Hussain conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, supervision, and approved the final draft.

Muhammad Faisal conceived and designed the experiments, performed the experiments, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.

A. Y. Al-Rezami conceived and designed the experiments, performed the experiments, prepared figures and/or tables, and approved the final draft.

Mohammed A. Naser conceived and designed the experiments, performed the experiments, prepared figures and/or tables, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

The raw data is available in the Supplemental File.

Funding

Mohammed M. Almazah received funding for this work under grant number RGP. 1/10/43 from the Deanship of Scientific Research at King Khalid University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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