Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2022 / Cilt: 40 - Sayı: 3

Identification of precipitation zones in Pakistan by global wavelet power spectrum

Pages
663–672
Publication Date
2022-10-09
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this work we found the five sub-areas as Region (1, 2, 3, 4 and 5) with frequency patterns A and B.

📌 3 Key Takeaways

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Objective & Hypothesis:Regionalization for precipitation is crucial in locating the area for new dams and the area for extra supplies for both developed and urban employment.
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Key Findings & Data:Regionalization for precipitation permits the confinement of catchment regions of related precipitation highlights and appearances of the framework elements in the zone.
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Conclusion & Impact:In this work we found the five sub-areas as Region (1, 2, 3, 4 and 5) with frequency patterns A and B.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Wavelet · GWPS · rainy pattern

Abstract

Regionalization for precipitation is crucial in locating the area for new dams and the area for extra supplies for both developed and urban employment. Regionalization for precipitation permits the confinement of catchment regions of related precipitation highlights and appearances of the framework elements in the zone. Precipitation areas are found inside the Indus River in Pakistan, which could be observed through precipitation frequencies by methods of Global Wavelet Power Spectrum (GWPS). The effects of precipitation zones are obtained by the method of the GWPS. It showed distinctive recurrence everywhere throughout the basin of a couple of regions; notwithstanding, different frequencies are existing with somewhat essentialness that show changes in the precipitation framework.Our aim is to describe the area of Pakistan region into different sub regions based on cold and hot climate, mountains area, dry and coastal areas with frequency patterns A and B. In this work we found the five sub-areas as Region (1, 2, 3, 4 and 5) with frequency patterns A and B.

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Cite This Article

ZAKARIA, K., MIR, S., NADEEM, S., ISHTIAQ, A., HUMA, S. (2022). Identification of precipitation zones in Pakistan by global wavelet power spectrum. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 40 - Sayı: 3, 663–672. https://ajindex.com/articles/726798

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