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

Gul Sajid, Ren Jingli

Acta Geophysica

2022

Vol. 70, no 1

485--503

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.

Climate change impacts on sea surface temperature (SST) trend around Turkey seashores

Dabanli Ismail, Şişman Eyüp, Güçlü Yavuz Selim, Birpınar Mehmet Emin, Şen Zekai

Acta Geophysica

2021

Vol. 69, no. 1

295--305

This paper focuses on sea surface temperature (SST) trends due to the importance of temperature diference in climate change impact research. These trends are not only essential for climate, but they are also important for marine ecosystem. Immigration of fsh population due to the temperature changes is expected to cause unexpected economical results. For this purpose, both classical Mann–Kendall, (MK) (Mann in Econom: J Econom Soc 13:245–259, 1945; Kendall in Rank Correlation Methods, Charless Grifn, London, 1975) and innovative trend analysis (ITA) (Şen in J Hydrol Eng 17(9):1042–1046, 2012) methodologies are applied for the SST data records. Monthly SST data are considered along the Black, Marmara, Aegean, and Mediterranean coastal areas in Turkey. SST data are categorized into fve clusters considering fsh life as “hot,” “warm-hot,” “warm,” “cold,” and “very cold.” According to ITA, SST in all coastal areas tends to increase except for winter season during “very cold” (0–10 °C) temperatures. The temperature changes in both winter and summer seasons are expected to change the marine life, fsh population, tourism habit, precipitation regime, and drought feature.