一种新的干旱早期预测方法

2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2020-03-01 DOI:10.1109/ICACCS48705.2020.9074405

Manthan Kansara, Pallavi G. Maity, Hemangi Malgaonkar, Ashwini M. Save

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引用次数: 3

摘要

干旱是指长时间的降雨不足导致一个地区缺水。当一个地区的总降雨量低于平均降雨量的50%时，就宣布干旱。因此，有必要预测这种影响该国42%土地面积，影响印度3亿人口的自然灾害。该系统旨在提供马哈拉施特拉邦地区干旱的早期预测和预防建议。马哈拉施特拉邦受灾最严重的地区是马拉特瓦达和维达尔巴。然而，目前在马哈拉施特拉邦还没有这样的干旱预测系统。该系统旨在提高预测的准确性。本研究利用降水数据计算标准降水指数(SPI)， SPI是一种概率指数，用于确定一个地区的异常干湿程度。该系统将预测特定地区是否会发生干旱，并旨在为干旱管理提供建议。

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A Novel Approach for Early Prediction of Drought

Droughts are prolonged period of deficient rainfall leading to shortages of water in a region. Droughts are declared when the total rainfall received in a region is less than 50% of average rainfall. Hence, it is necessary to predict such a natural hazard which affects 42% of the country's land area and affects 300 million people in India. This system aims to provide an early prediction of drought in regions of Maharashtra and their preventive suggestions. The most affected regions of Maharashtra are Marathwada and Vidarbha. However, currently no such system exists for drought prediction in Maharashtra. This system aims to increase the accuracy of predictions. This study uses precipitation data to compute Standard precipitation index (SPI) which is a probability index used to ascertain abnormal wetness or dryness in a region. The system will predict whether drought will occur or not in a particular region and also aims to provide suggestions for drought management.

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2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)

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