Monitoring of extreme rainfall events and drought severity using drought indices in the southeast semi-arid areas of Karnataka state, India

N. Harishnaika , M. Arpitha , S.A. Ahmed , V. Nagaraja
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Abstract

Over the past few decades, precipitation changed in duration and intensity due to climate change. The Karnataka economy and water resources are severely impacted regularly by droughts and floods. Drought indices are used to evaluate the drought conditions in the state of Karnataka. This study examines the Modified China Z-Index (MCZI), Decile Index (DI), Rainfall Departure (RD), and Percent of Normal Index (PN) to determine which measure is most appropriate for Karnataka the state's regions that experience both dry and wet climate. The total mean rainfall in the study area from 1951 to 2019 was 672.83 mm, with an average deviation of 208.10 mm. The stations in the Kolar district grid stations receive more rainfall than the Chikkaballapura district grid station. The PN along with the DI drought indices correlation in the station Bangarapete shows the highest positive correlation a value roughly R2 = 0.6876. During contrasted to other indices, the RD (Rainfall Deviation) index is the easiest to compute and has the best statistics for determining dry and wet years. 1959 (-70.8 %) and 1995 (-68.4 %) were two drought years that this index could easily identify. In 1965, Bangarapete indicated an extreme drought with a 65.2 % rainfall deviation rate. Two particularly dry years have been detected in Gudibande 1981 (-72.5 %) and 1983 (-87.0 %). The study's findings will assist the state in better organizing and enhancing its approaches to managing water resources, agriculture, floods, and drought.
利用干旱指数监测印度卡纳塔克邦东南部半干旱地区的极端降雨事件和干旱严重程度
在过去几十年中,由于气候变化,降水的持续时间和强度发生了变化。卡纳塔克邦的经济和水资源经常受到干旱和洪水的严重影响。利用干旱指数对卡纳塔克邦的干旱状况进行了评价。本研究考察了修正的中国z指数(MCZI)、十分位数指数(DI)、降雨偏差(RD)和正常指数百分比(PN),以确定哪种措施最适合卡纳塔克邦经历干湿气候的地区。1951 - 2019年研究区总平均降雨量为672.83 mm,平均偏差为208.10 mm。Kolar地区网格站的站点比Chikkaballapura地区网格站获得更多的降雨量。在Bangarapete站,PN与DI干旱指数的相关关系最高,其正相关值约为R2 = 0.6876。与其他指数相比,RD(降雨偏差)指数是最容易计算的,并且具有最好的统计数据来确定干湿年份。1959年(-70.8 %)和1995年(- 68.4% %)是该指数容易识别的两个干旱年。1965年,孟加拉国发生了一次极端干旱,降雨量偏差率为65.2% %。在古迪班德发现了两个特别干燥的年份:1981年(-72.5 %)和1983年(-87.0 %)。这项研究的结果将有助于该州更好地组织和加强其管理水资源、农业、洪水和干旱的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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