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Trend analyses methodologies in hydro-meteorological records
In recent years, global warming and climate change impacts on hydro-meteorological
variables and water resources triggered extensive focus on trend analyses. Especially, in …
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 …
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 …
Complicated topography can drastically affect the geographical distribution of evaporation,
runoff production, water cycle, and water security guarantee. However, whether the …
runoff production, water cycle, and water security guarantee. However, whether the …
Trend assessment by the innovative-Şen method
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
Zealand has been carried out using a high-quality monthly dataset of 152 rain gages with …