A new comprehensive approach for regional drought monitoring

The Standardized Precipitation Index (SPI) is a vital component of meteorological drought. Several researchers have been using SPI in their studies to develop new methodologies for drought assessment, monitoring, and forecasting. However, it is challenging for SPI to provide quick and comprehensive...
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Autor*in:	Rizwan Niaz [verfasserIn] Mohammed M. A. Almazah [verfasserIn] Ijaz Hussain [verfasserIn] Muhammad Faisal [verfasserIn] A. Y. Al-Rezami [verfasserIn] Mohammed A. Naser [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Standardized precipitation index Monte Carlo feature selection Steady-state probabilities Continuous drought probability monitoring system Bivariate copulas Brier skill score

Übergeordnetes Werk:	In: PeerJ - PeerJ Inc., 2013, 10, p e13377(2022)
Übergeordnetes Werk:	volume:10, p e13377 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.7717/peerj.13377

Katalog-ID:	DOAJ020973470

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callnumber-first	Q - Science
author	Rizwan Niaz
spellingShingle	Rizwan Niaz misc QH301-705.5 misc Standardized precipitation index misc Monte Carlo feature selection misc Steady-state probabilities misc Continuous drought probability monitoring system misc Bivariate copulas misc Brier skill score misc Medicine misc R misc Biology (General) A new comprehensive approach for regional drought monitoring
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topic_title	QH301-705.5 A new comprehensive approach for regional drought monitoring Standardized precipitation index Monte Carlo feature selection Steady-state probabilities Continuous drought probability monitoring system Bivariate copulas Brier skill score
topic	misc QH301-705.5 misc Standardized precipitation index misc Monte Carlo feature selection misc Steady-state probabilities misc Continuous drought probability monitoring system misc Bivariate copulas misc Brier skill score misc Medicine misc R misc Biology (General)
topic_unstemmed	misc QH301-705.5 misc Standardized precipitation index misc Monte Carlo feature selection misc Steady-state probabilities misc Continuous drought probability monitoring system misc Bivariate copulas misc Brier skill score misc Medicine misc R misc Biology (General)
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title	A new comprehensive approach for regional drought monitoring
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title_full	A new comprehensive approach for regional drought monitoring
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author_browse	Rizwan Niaz Mohammed M. A. Almazah Ijaz Hussain Muhammad Faisal A. Y. Al-Rezami Mohammed A. Naser
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title_sort	new comprehensive approach for regional drought monitoring
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title_auth	A new comprehensive approach for regional drought monitoring
abstract	The Standardized Precipitation Index (SPI) is a vital component of meteorological drought. Several researchers have been using SPI in their studies to develop new methodologies for drought assessment, monitoring, and forecasting. However, it is challenging for SPI to provide quick and comprehensive information about precipitation deficits and drought probability in a homogenous environment. This study proposes a Regional Intensive Continuous Drought Probability Monitoring System (RICDPMS) for obtaining quick and comprehensive information regarding the drought probability and the temporal evolution of the droughts at the regional level. The RICDPMS is based on Monte Carlo Feature Selection (MCFS), steady-state probabilities, and copulas functions. The MCFS is used for selecting more important stations for the analysis. The main purpose of employing MCFS in certain stations is to minimize the time and resources. The use of MCSF makes RICDPMS efficient for drought monitoring in the selected region. Further, the steady-state probabilities are used to calculate regional precipitation thresholds for selected drought intensities, and bivariate copulas are used for modeling complicated dependence structures as persisting between precipitation at varying time intervals. The RICDPMS is validated on the data collected from six meteorological locations (stations) of the northern area of Pakistan. It is observed that the RICDPMS can monitor the regional drought and provide a better quantitative way to analyze deficits with varying drought intensities in the region. Further, the RICDPMS may be used for drought monitoring and mitigation policies.
abstractGer	The Standardized Precipitation Index (SPI) is a vital component of meteorological drought. Several researchers have been using SPI in their studies to develop new methodologies for drought assessment, monitoring, and forecasting. However, it is challenging for SPI to provide quick and comprehensive information about precipitation deficits and drought probability in a homogenous environment. This study proposes a Regional Intensive Continuous Drought Probability Monitoring System (RICDPMS) for obtaining quick and comprehensive information regarding the drought probability and the temporal evolution of the droughts at the regional level. The RICDPMS is based on Monte Carlo Feature Selection (MCFS), steady-state probabilities, and copulas functions. The MCFS is used for selecting more important stations for the analysis. The main purpose of employing MCFS in certain stations is to minimize the time and resources. The use of MCSF makes RICDPMS efficient for drought monitoring in the selected region. Further, the steady-state probabilities are used to calculate regional precipitation thresholds for selected drought intensities, and bivariate copulas are used for modeling complicated dependence structures as persisting between precipitation at varying time intervals. The RICDPMS is validated on the data collected from six meteorological locations (stations) of the northern area of Pakistan. It is observed that the RICDPMS can monitor the regional drought and provide a better quantitative way to analyze deficits with varying drought intensities in the region. Further, the RICDPMS may be used for drought monitoring and mitigation policies.
abstract_unstemmed	The Standardized Precipitation Index (SPI) is a vital component of meteorological drought. Several researchers have been using SPI in their studies to develop new methodologies for drought assessment, monitoring, and forecasting. However, it is challenging for SPI to provide quick and comprehensive information about precipitation deficits and drought probability in a homogenous environment. This study proposes a Regional Intensive Continuous Drought Probability Monitoring System (RICDPMS) for obtaining quick and comprehensive information regarding the drought probability and the temporal evolution of the droughts at the regional level. The RICDPMS is based on Monte Carlo Feature Selection (MCFS), steady-state probabilities, and copulas functions. The MCFS is used for selecting more important stations for the analysis. The main purpose of employing MCFS in certain stations is to minimize the time and resources. The use of MCSF makes RICDPMS efficient for drought monitoring in the selected region. Further, the steady-state probabilities are used to calculate regional precipitation thresholds for selected drought intensities, and bivariate copulas are used for modeling complicated dependence structures as persisting between precipitation at varying time intervals. The RICDPMS is validated on the data collected from six meteorological locations (stations) of the northern area of Pakistan. It is observed that the RICDPMS can monitor the regional drought and provide a better quantitative way to analyze deficits with varying drought intensities in the region. Further, the RICDPMS may be used for drought monitoring and mitigation policies.
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title_short	A new comprehensive approach for regional drought monitoring
url	https://doi.org/10.7717/peerj.13377 https://doaj.org/article/a19c3d57d9d04c08b7607b765a67c36d https://peerj.com/articles/13377.pdf https://peerj.com/articles/13377/ https://doaj.org/toc/2167-8359
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author2	Mohammed M. A. Almazah Ijaz Hussain Muhammad Faisal A. Y. Al-Rezami Mohammed A. Naser
author2Str	Mohammed M. A. Almazah Ijaz Hussain Muhammad Faisal A. Y. Al-Rezami Mohammed A. Naser
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up_date	2024-07-03T18:07:10.915Z
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