Complexity analyses of Godavari and Krishna river streamflow using the concept of entropy

Singh, Rahul Kumar; Jain, Manoj

doi:10.1007/s11600-021-00660-z

Cited by 5 publications

(1 citation statement)

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“…Watersheds are hydrological response units, biophysical units, and holistic ecosystems, possessing all the complexities of land surface systems, thereby making them excellent candidates for the practice of earth system science [ 2 , 3 , 4 ]. The natural flow regime is considered the primary driving force behind the formation of habitats and distribution, diversity, and abundance of biota, and it is extremely important for maintaining and sustaining riverine ecosystem integrity and its biodiversity [ 5 ]. Climate change and human activities are the two main driving factors that affect water cycles and the evolution of water resources.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Analysis of Runoff Complexity in the Yanhe Watershed

Liu

Zhao

2022

Entropy

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Runoff complexity is an important indicator reflecting the sustainability of a watershed ecosystem. In order to explore the multiscale characteristics of runoff complexity and analyze its variation and influencing factors in the Yanhe watershed in China during the period 1991–2020, we established a new analysis method for watershed runoff complexity based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method for the decomposition of multiscale characteristics and the refined composite multiscale entropy (RCMSE) method for the quantification of the system complexity. The results show that runoff and its components all present multiscale complexity characteristics that are different from random signals, and the intermediate frequency modes contribute the most to runoff complexity. The runoff complexity of the Yanhe watershed has decreased gradually since 1991, and 2010 was a turning point of runoff complexity, when it changed from a decline to an increase, indicating that the ecological sustainability of this basin has improved since 2010, which was mainly related to the ecological restoration measures of the Grain for Green Project. This study expands the research perspective for analyzing the variation characteristics of runoff at the multiscale, and provides a reference for the study of watershed ecological sustainability and ecological management.

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