Nejadrekabi M, Eslamian S, Zareian M J
Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
Int J Environ Sci Technol (Tehran). 2022;19(7):6573-6594. doi: 10.1007/s13762-021-03852-8. Epub 2022 Jan 29.
Drought is a major water resources management issue in Iran. Khuzestan Province is in a drought state due to water shortage. Therefore, identifying areas at high risk of drought and when drought occurs is essential for drought management. For this purpose, this study used precipitation and temperature data of 12 selected stations and MODIS sensor images from the United States Geological Survey database in 2000-2017. The Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Normalized Difference Vegetation Index (NDVI) were calculated using the Hargreaves-Samani method and ENVI software. Moreover, different spatial statistics techniques were used in the ArcGIS environment to analyze the results. Also, time series diagrams were drawn, and the trend was evaluated using the Mann-Kendall test. Finally, the distribution of NDVI values was investigated using EasyFit software, and the amount of drought damage was determined using NDVI. The investigation of the cluster maps of the Anselin Local Moran's Index along with hot and cold spots formed for both SPEI and NDVI showed that drought severity was higher at the southern stations than at the semi-northern and northwestern ones in the province. Moreover, the survey results using the EasyFit software showed that the southern stations, including the Ahvaz, Mahshahr, and Omidiyeh-Aghajari stations, were more at risk of drought than the other stations due to the drought threshold. Furthermore, the total damage caused by drought for the Ahvaz and Abadan stations showed a damage rate of 50%.
干旱是伊朗水资源管理的一个主要问题。胡齐斯坦省因缺水处于干旱状态。因此，识别干旱高风险地区以及干旱发生的时间对于干旱管理至关重要。为此，本研究使用了2000 - 2017年期间12个选定站点的降水和温度数据以及来自美国地质调查局数据库的MODIS传感器图像。采用哈格里夫斯 - 萨马尼方法和ENVI软件计算标准化降水蒸散指数（SPEI）和标准化归一化植被指数（NDVI）。此外，在ArcGIS环境中使用了不同的空间统计技术来分析结果。还绘制了时间序列图，并使用曼 - 肯德尔检验评估趋势。最后，使用EasyFit软件研究NDVI值的分布，并使用NDVI确定干旱损失量。对安塞林局部莫兰指数的聚类图以及为SPEI和NDVI形成的热点和冷点进行调查显示，该省南部站点的干旱严重程度高于半北部和西北部站点。此外，使用EasyFit软件的调查结果表明，包括阿瓦士、马赫沙尔和奥米迪耶 - 阿加贾里站点在内的南部站点由于干旱阈值比其他站点面临更高的干旱风险。此外，阿瓦士和阿巴丹站点的干旱总损失显示损失率为50%。
