In recent years, the climatic change and global warming have affected on meteorological and hydrologic conditions in dry and warm regions. The severity of occurred droughts has increased in these regions. This research monitors 3- , 6- , 9- and 12-month hydrologic drought severity in the Khuzestan Province, with 51 hydrometric stations, based on drought return periods and streamflow drought index (SDI). The length of the statistical period is 62 years (1954–2016). Application of homogeneity statistic shows that the Khuzestan Province has 3 homogeneous regions for three-month time scale and 2 homogeneous regions for other time scales. The applied method for regional frequency analysis is linear moment method. By increasing of linear moment parameters, intensity of droughts will increase and drought return periods will reduce. Results of research show that severe and extreme hydrologic droughts can observe at the whole of this province in near future. Return period of these droughts is larger than 5 years. Also, intensity of hydrologic drought is milder in north and east of this province.

中文翻译：

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伊朗胡齐斯坦省短期和长期水文干旱监测和分区图的合并 L 矩方法、区域频率分析和 SDI

近年来，气候变化和全球变暖对干旱和温暖地区的气象和水文条件产生了影响。这些地区发生干旱的严重程度有所增加。本研究根据干旱重现期和径流干旱指数 (SDI)，监测胡齐斯坦省 3 个月、6 个月、9 个月和 12 个月的水文干旱严重程度，有 51 个水文站。统计期长度为 62 年（1954-2016 年）。应用同质性统计表明，胡齐斯坦省三个月时间尺度有3个同质区域，其他时间尺度有2个同质区域。区域频率分析的应用方法是线性矩法。随着线性矩参数的增加，干旱强度将增加，干旱重现期将减少。研究结果表明，近期全省可能出现严重和极端水文干旱。这些干旱的重现期大于5年。此外，该省北部和东部的水文干旱强度较轻。