Analysis of Rainfall Variability Using Precipitation Concentration Index for a Catchment

Nina Dhamge, Pawan Khawas, Vipul, Sneha Dighore, Tushar Paul, Saloni Meshram
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Abstract

The PCI is a critical metric to assess the distribution and concentration of precipitation over a specified period. By analyzing historical rainfall data, this research aims to identify trends and patterns in precipitation concentration, shedding light on potential implications for water resource management and hydrological systems. The methodology involves calculating the PCI for different temporal scales and regions, allowing for a comprehensive assessment of rainfall variability. The findings contribute to a deeper understanding of precipitation dynamics, facilitating informed decision-making in climate-sensitive sectors. There are simple rainfall measures that can be used to provide information on variability and, therefore, on the climate state. These mainly include annual and monthly rainfall data and averages, which can be used to assess rainfall seasonality, variability, and the frequency of extreme events.
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利用集水区降水浓度指数分析降雨量的可变性
PCI 是评估特定时期降水分布和浓度的重要指标。本研究旨在通过分析历史降水数据,确定降水集中的趋势和模式,从而揭示其对水资源管理和水文系统的潜在影响。研究方法包括计算不同时间尺度和地区的 PCI,从而对降雨量的变异性进行全面评估。研究结果有助于加深对降水动态的理解,促进气候敏感部门做出明智的决策。有一些简单的降雨测量方法可用于提供有关变异性的信息,从而提供有关气候状态的信息。这些措施主要包括年度和月度降雨量数据和平均值,可用于评估降雨的季节性、变异性和极端事件的频率。
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