Dey Pankaj
Department of Civil Engineering, National Institute of Technology, Sikkim Ravangla, India.
Water Resour Manag (Dordr). 2023;37(3):1461-1472. doi: 10.1007/s11269-023-03441-z. Epub 2023 Feb 1.
Quantification of rainfall intermittency via. interevent time distribution, series of continuous wet spells (burst size) and variability in interevent times between rainfall events is essential for planning and management of water resources and hydrologic extremes. However, their structure, quantification and association with long-term climatology are less explored. In this paper, a complex system-based measure - burstiness - is used to quantify the variability of interevent times across six meteorologically homogenous zones of India. It is observed that burstiness is related to the burst size as well as long-term rainfall climatology. The existence of unimodal and bimodal structure in burstiness distribution reveals the uniqueness and differences in the rainfall patterns. The differences in sensitivity of rainfall to burstiness highlight the role of interplay between climate-landscape and reveals the importance of the intermittent structure of rainfall. The study provides an approach to model intermittency by preserving the temporal structure of the interevent time distribution.
通过降雨事件间隔时间分布、连续湿润期序列（暴雨规模）以及降雨事件之间降雨间隔时间的变异性来量化降雨间歇性，对于水资源规划与管理以及水文极端事件而言至关重要。然而，它们的结构、量化以及与长期气候学的关联却较少被探究。在本文中，一种基于复杂系统的度量——突发性——被用于量化印度六个气象同质区域降雨间隔时间的变异性。据观察，突发性与暴雨规模以及长期降雨气候学相关。突发性分布中存在单峰和双峰结构，这揭示了降雨模式的独特性和差异。降雨对突发性敏感度的差异突出了气候 - 地貌相互作用的作用，并揭示了降雨间歇性结构的重要性。该研究提供了一种通过保留降雨事件间隔时间分布的时间结构来模拟间歇性的方法。
