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Monitoring and prediction of drought by Markov chain model based on SPI and new index in Isfahan

机译:基于SPI和新指数的马尔可夫链模型的干旱监测与预测。

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Drought evaluation and associated prediction are essential for water resource management. Most of previous studies analysed and predicted drought pattern in Isfahan based on the standardised precipitation index (SPI). Due to the high evapotranspiration in Isfahan, the SPI index, which is based on precipitation alone may not be sufficient to monitor and estimate drought pattern. So, it is vital to analyse and predict drought phenomenon at this region based on the new index (standardised precipitation-evaporation index - SPEI) that considers potential evapotranspiration in addition to the precipitation. Hence drought analysis is performed based on SPI and SPEI in Isfahan. The results indicate that there is some difference between two indices. Finally, SPEI and the Markov chain model are applied to predict the drought patterns in a 30 years period in the long-term future. It is predicted that the percentage of aridity state will increase comparison with the past decade.
机译:干旱评估和相关预测对于水资源管理至关重要。以前的大多数研究都基于标准化降水指数(SPI)分析和预测了伊斯法罕的干旱模式。由于伊斯法罕的高蒸散量,仅基于降水的SPI指数可能不足以监测和估算干旱模式。因此,基于新的指数(标准降水-蒸发指数-SPEI)分析和预测该地区的干旱现象至关重要,该指数考虑了降水以外的潜在蒸散量。因此,在伊斯法罕进行基于SPI和SPEI的干旱分析。结果表明,两个指标之间存在一定差异。最后,将SPEI和马尔可夫链模型用于预测长期未来30年内的干旱模式。预计与过去十年相比,干旱状态的百分比将增加。

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