Trend analyses methodologies in hydro-meteorological records

M Almazroui, Z Şen - Earth Systems and Environment, 2020 - Springer
In recent years, global warming and climate change impacts on hydro-meteorological
variables and water resources triggered extensive focus on trend analyses. Especially, in …

Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey

H Citakoglu, Ö Coşkun - Environmental Science and Pollution Research, 2022 - Springer
Drought is a harmful natural disaster with various negative effects on many aspects of life. In
this research, short-term meteorological droughts were predicted with hybrid machine …

[HTML][HTML] Alp-valley and elevation effects on the reference evapotranspiration and the dominant climate controls in Red River Basin, China: Insights from geographical …

J Chen, J Zhang, J Peng, L Zou, Y Fan, F Yang… - Journal of Hydrology, 2023 - Elsevier
Complicated topography can drastically affect the geographical distribution of evaporation,
runoff production, water cycle, and water security guarantee. However, whether the …

Trend assessment by the innovative-Şen method

İ Dabanlı, Z Şen, MÖ Yeleğen, E Şişman… - Water resources …, 2016 - Springer
Hydro-meteorological time series may include trend components mostly due to climate
change since about three to four decades. Trend detection and identification in a better and …

Application of the innovative trend analysis method for the trend analysis of rainfall anomalies in southern Italy

T Caloiero, R Coscarelli, E Ferrari - Water Resources Management, 2018 - Springer
In this paper, an investigation of the temporal rainfall variability, in a large area of southern
Italy, has been carried out using a homogeneous monthly rainfall dataset of 559 rain gauges …

Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin

I Ahmad, F Zhang, M Tayyab, MN Anjum, M Zaman… - Atmospheric …, 2018 - Elsevier
This paper investigates the annual and seasonal precipitation variability at 20 stations over
upper Indus River basin (UIRB) by using an innovative trend analysis (ITA) method, Mann …

Pre-and post-dam river water temperature alteration prediction using advanced machine learning models

DK Vishwakarma, R Ali, SA Bhat, A Elbeltagi… - … Science and Pollution …, 2022 - Springer
Dams significantly impact river hydrology by changing the timing, size, and frequency of low
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …

Innovative and polygonal trend analyses applications for rainfall data in Vietnam

M Şan, F Akçay, NTT Linh, M Kankal… - Theoretical and Applied …, 2021 - Springer
It is a known fact that the size, frequency, and spatial variability of hydrometeorological
variables will irregularly increase under the impact of climate change. Among the …

Trend analysis of maximum hydrologic drought variables using Mann–Kendall and Şen's innovative trend method

F Tosunoglu, O Kisi - River Research and Applications, 2017 - Wiley Online Library
Droughts as destructive climatic extreme events affect natural environment of an area.
Identifying droughts has a vital importance in the planning and management of water …

Evaluation of rainfall trends in the South Island of New Zealand through the innovative trend analysis (ITA)

T Caloiero - Theoretical and Applied Climatology, 2020 - Springer
In this paper, an investigation of the temporal rainfall variability in the South Island of New
Zealand has been carried out using a high-quality monthly dataset of 152 rain gages with …