Application of non parametric innovative trend analysis of different time scale precipitation during (1951-2016) in Khyber Pakhtunkhwa, Pakistan

Gul, Sajid; Ren, Jingli

doi:10.1007/s11600-021-00703-5

Artykuł - szczegóły

Tytuł artykułu

Application of non parametric innovative trend analysis of different time scale precipitation during (1951-2016) in Khyber Pakhtunkhwa, Pakistan

Autorzy

Gul Sajid , Ren Jingli

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00703-5

Warianty tytułu

Języki publikacji

Abstrakty

Reliable information on the frequency and duration of excessive precipitation in foods, droughts, earthquakes, coastal foods, and hill torrents is critical to natural disaster planning and disaster risk reduction strategies. The current study examined precipitation on a monthly, seasonal, and annual scale at varying amplitudes. Moreover, the Mann–Kendall and Sen Innovative trend analysis (ITA) approaches are used to examine precipitation variations. This study aims to evaluate the Mann–Kendall and Sen Innovative Trend Analysis techniques to understand better how they apply to the topic under consideration. Overall, 84.16% of testing months showed trendless precipitation based on the MK trend test. Comparatively, the ITA monthly analysis showed statistically significant variation in 80% months and 88% considerable rate in seasonal perspective over the entire study regions. The research recognized that the Sen Innovative trend test outperforms the Mann–Kendall analysis in a range of circumstances. First of all, Sen Approach has simple assumptions, and the study of skewed distributions with fewer data could apply. Another benefit of using the ITA was that all data sets could be viewed on a graph, making it easier to see pat terns and interpret the trends. Thus, the research recommends that the Sen Trend Method (ITA) analyze monthly, seasonal, and annual precipitation patterns to facilitate water resource scheduling and establish natural disaster strategies in the future.

Słowa kluczowe

Mann–Kendall precipitation Khyber-Pakhtunkhwa Pakistan Sen innovative trend seasonal

Mann-Kendall opad atmosferyczny Chajber-Pasztunchwa Pakistan

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2022

Tom

Vol. 70, no 1

Strony

485--503

Opis fizyczny

Bibliogr. 60 poz.

Twórcy

autor

Gul Sajid

sgqaustat@gmail.com

Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, China 2 School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China

autor

Ren Jingli

renjl@zzu.edu.cn

Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, China 2 School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China

https://orcid.org/0000-0002-5392-291X

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-b7dd4160-2089-4417-9f15-f4a380f59fd0