Assessing the Probability of Drought Severity in a Homogeneous Region

Author:

Niaz Rizwan1ORCID,Almazah Mohammed M. A.23ORCID,Hussain Ijaz1ORCID,Filho Joao Dehon Pontes4,Al-Ansari Nadhir5ORCID,Sh Sammen Saad6ORCID

Affiliation:

1. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

2. Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Abha 61421, Saudi Arabia

3. Department of Mathematics and Computer, College of Sciences, Ibb University, Ibb 70270, Tudun Wada, Nigeria

4. Hydraulic and Environmental Engineering Department (DEHA), Federal University of Ceará, Fortaleza, Ceará 60020-181, Brazil

5. Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea 971 87, Sweden

6. Department of Civil Engineering, College of Engineering, University of Diyala, Diyala Governorate, Baqubah, Iraq

Abstract

The standardized precipitation index (SPI) is one of the most widely used indices for characterizing and monitoring drought in various regions. SPI's applicability has regional and time-scale constraints when it observes in several homogeneous climatic regions with similar characteristics. It also does not provide sufficient knowledge about precipitation deficits and the spatiotemporal evolution of drought. Therefore, a new method, the regional spatially agglomerative continuous drought probability monitoring system (RSACDPMS), is proposed to obtain spatiotemporal information and monitor drought characteristics more expeditiously. The proposed framework uses spatially agglomerative precipitation (SAP) and copulas’ functions to continuously monitor the drought probability in the homogenous region. The RSACDPMS is validated in the region of the Northern area of Pakistan. The outcomes of the current study provide a better quantitative way to obtain appropriate information about precipitation deficits and the spatiotemporal evolution of drought.

Funder

Deanship of Scientific Research at King Khalid University

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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