Spatial and Temporal Analysis of Drought Forecasting on Rivers of South India

IF 2.1 Q3 ENVIRONMENTAL SCIENCES
Ayub Shaikh, Kul Vaibhav Sharma, Vijendra Kumar, Karan Singh
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引用次数: 0

Abstract

Extreme weather events such as droughts are catastrophic and can have serious consequences for people and the environment. Drought may be managed if measures are taken in advance. The success of this endeavor depends on a number of factors, not the least of which is accurate descriptions and measurements of drought conditions. Reducing the negative consequences of droughts requires an early forecast of drought conditions. The primary objective of this research is, hence, to establish a process for the assessment and prediction of drought. The drought evaluation was carried out using the standards established by the SPI and the Indian Meteorological Department. Maps of drought severity were generated using severe drought data. Thirty years' worth of SPI readings was analyzed. Fuzzy-based drought forecasting model parameters were determined during a 25-year period, and the model was validated throughout the remaining years. The findings of this study can be used by the community to help combat the drought. Before the drought worsens, the local government can implement lifesaving mitigating measures.
南印度河流干旱预测的时空分析
干旱等极端天气事件是灾难性的,可能对人类和环境造成严重后果。如果提前采取措施,干旱是可以控制的。这一努力的成功取决于许多因素,其中最重要的是对干旱条件的准确描述和测量。减少干旱的负面影响需要对干旱条件进行早期预报。因此,这项研究的主要目的是建立一个评估和预测干旱的过程。干旱评估是使用SPI和印度气象部门制定的标准进行的。干旱严重程度图是利用严重干旱数据生成的。分析了30年的SPI读数。确定了25年的模糊干旱预测模型参数,并对模型进行了验证。这项研究的结果可以被社区用来帮助对抗干旱。在干旱恶化之前,当地政府可以实施挽救生命的缓解措施。
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来源期刊
CiteScore
4.30
自引率
0.00%
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0
审稿时长
11 weeks
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