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A composite system of drought monitoring under Integrated Agromet Advisory Service

机译:农业综合咨询服务下的干旱监测综合系统

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Agricultural drought impacts vary greatly since they depend not only on the magnitude, timing, duration and frequency of rainfall deficits but also on the differing responses of various soils, plants and animals to water stress. IMD monitors agricultural drought on a real-time basis during the main crop seasons (kharif and rabi) of India. For this, an aridity anomaly index (AI) developed on the lines of Thornthwaite's concept is used to monitor the incidence, spread, intensification and recession ofdrought. Bi-weekly aridity anomaly reports are prepared for the country during the monsoon season. There is a need for improved drought monitoring, as it is the most costly disaster. A composite system of drought monitoring is envisaged by combining a number of indices like SPI, Dryness Index, WRSI and % departure of rainfall at national level. Using the proposed system, a case study has been taken for North Interior Karnataka (NIK). The study indicates that severe drought conditions occurred in Bijapurand Gadag during 24-29 standard weeks compared to other districts of NIK.
机译:农业干旱的影响差异很大,因为它们不仅取决于降雨不足的程度,时间,持续时间和频率,而且还取决于各种土壤,植物和动物对水分胁迫的不同反应。 IMD实时监测印度主要农作物季节(卡里夫和狂犬病)的农业干旱。为此,根据索恩斯韦特(Thornthwaite)的概念开发的干旱异常指数(AI)用于监测干旱的发生,扩散,加剧和衰退。季风季节期间,该国每两周会发布一次干旱异常报告。由于这是代价最高的灾难,因此需要改进干旱监测。设想通过综合多个指标(如SPI,干旱指数,WRSI和国家水平的降雨百分比)组成一个干旱监测综合系统。使用所提出的系统,对北内卡纳塔克邦(NIK)进行了案例研究。研究表明,与NIK其他地区相比,Bijapurand Gadag在24-29标准周内发生了严重的干旱情况。

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