In mountainous regions, water availability and flood hazards are tightly linked to the timing and seasonality of streamflow, making their analysis indispensable for sustainable resource planning. In this regard, this study examines changes in seasonality and precipitation in the Khiav Chai River watershed, a snow-influenced mountainous region in northwest Iran, over the 1970–2022 period, using Innovative Trend Analysis (ITA), Pettitt change-point detection, and circular statistical analysis. Contrasting results were observed in relation to the hydro-climatic variables studied in the research period. While annual precipitation followed an upward trend (ITA slope = 0.022), the streamflow data indicated a decreasing trend (ITA slope = -0.00093). The Pettitt test found that statistically significant changes occurred in 1984 and 1995 in streamflow and precipitation, respectively, implying that changes in the hydrological regime occurred prior to changes in precipitation. According to the circular statistics, the Center of Mass Timing showed only a minor difference between precipitation and streamflow (precipitation: 5.09 months; streamflow: 4.45 months) between these two hydro-climatic variables over time. On the contrary, seasonality index showed opposite directions. Decreasing seasonality was observed in precipitation (τ=-0.23,
p
= 0.01) implying an even distribution of rainfall throughout the year, while increasing seasonality was observed in streamflow (τ = 0.34,
p
< 0.001) indicating a higher amount of streamflow occurring at specific periods during the hydrological year. Based on polar vector analysis, clustering and seasonal concentration were significantly more pronounced in streamflow than precipitation, showing the effect of snow accumulation and melt processes in watersheds. The results indicate a growing trend of separation between the seasonality of precipitation and streamflow, implying the non-stationarity of the hydrological regime within the watershed. This study demonstrates that precipitation and streamflow seasonality can decouple in snow-influenced watersheds, where snow dynamics mediate hydrological responses to climate change. These results suggest that the effects on the hydrological system cannot be solely attributed to modifications in precipitation patterns and that seasonal flow adjustments should be taken into account for adaptation purposes.
Changes in precipitation regimes associated with climate variability and climate change pose significant challenges to water resource management, agriculture, and land‐use planning, particularly in socioeconomically strategic regions such as the Piracicaba River Basin, Brazil. This study analyzed precipitation series...
R. Machado, T. R. Lopes, Sérgio Nascimento Duarte et al.· JAWRA Journal of the America...· 0 citations
The Kelani River basin (KRB) is the highest flooding conditions appeared river basin in Sri Lanka. Based on this, the study investigates the impact of climate resilience on rainfall patterns, temperature, wind speed, and streamflow dynamics of the Kelani River basin in Sri Lanka to enhance flood risk prediction and flo...
Ravindya Samaranayake, A. Liyanage, R. T. K. Ariyawansha· Journal of Climate Change· 0 citations
This study used time series data from 1980 to 2022 to investigate spatiotemporal changes and trends of precipitation, temperature, and evapotranspiration in Muger sub-basin. The coefficient of variation (CV), precipitation concentration index (PCI), and seasonality index (SAI) were used to assess variability, while...
Bayisa Gedafa Kankure, W. Dibaba, T. A. Demissie· Discover Sustainability· 0 citations
Understanding how extreme rainfall variability influences hydrological alteration remains an important challenge in tropical watersheds. While previous studies have largely focused on rainfall intensity as the main driver of hydrological responses, the influence of rainfall frequency and persistence has received less a...
M. F. Djuraini, Andung Bayu Sekaranom, Muhammad Anggri Setiawan· IOP Conference Series: Earth...· 0 citations
The source regions of the Yangtze and Yellow Rivers on the Tibetan Plateau provide vital water resources for downstream ecosystems and populations, yet their runoff responses to climate warming remain insufficiently understood. Based on daily runoff data from six hydrological stations in the Yellow and the Yangtze Rive...