Spatiotemporal changes in river flow seasonality and predictability using Colwell indices in Northwestern Iran
Parvin Momenian, Nazila Alaei, Raoof Mostafazadeh

TL;DR
This study analyzes river flow patterns in northwestern Iran using Colwell indices to understand seasonal and spatial changes influenced by climate and human activities.
Contribution
The first application of Colwell indices to assess river flow regimes in northwestern Iran, revealing new insights into predictability and variability.
Findings
ArbabKandi river showed the highest Predictability and Constancy with P_MaxM = 0.739 and C_MaxM = 0.651.
Dostbeglo and Hir rivers had the lowest Colwell index values, indicating less predictable and constant flow regimes.
Trend analysis revealed significant decreases in river flow at several stations in Ardabil Province.
Abstract
The study aimed to examine seasonal-spatial changes in river flow regimes in northwestern Iran using Colwell indices, which assess the regularity and seasonal pattern of flow through three components: Predictability, Constancy, and Contingency. This study is the first to apply Colwell indices across rivers in northwestern Iran, revealing varied trends influenced by climate and human activities. In this study, river flow data from various rivers in northwestern Iran with climate diversity were used to analyze the time and spatial changes of river flow regimes. In this regard, using the Colwell indicators, the variations of the different components of the river flow regime were evaluated from three main aspects including Predictability (P), Constancy (C) and Contingency (M) on different daily, monthly and seasonal time scales. The results showed that the ArbabKandi river had the highest…
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Taxonomy
TopicsHydrology and Watershed Management Studies · Hydrology and Drought Analysis · Climate variability and models
