The management of water resources and the environment faces a critical and preva‎lent challenge in the form of droughts, which have far-reaching consequences for human life and ecosystems. Extensive research has been carried out to address and minimize the negative impacts of this phenomenon by studying the factors contributing to the occurrence and development of droughts, predicting and assessing their economic and social impacts, studying the connection between meteorological and hydrological droughts and water resources management practices have been improved in such scenarios and the use of advanced machine learning methods for data analysis and prediction. These methods are able to analyze the patterns, relationships and impacts of various variables with exceptional accuracy, leading to more precise conclusions regarding drought and its impacts. This study investigates the relationship between meteorological drought assessed by the standardized precipitation index (SPI) and hydrological drought assessed by the standardized runoff index (SRI) at 15 monitoring stations within the Karkheh River Basin during the statistical period from 1982 to 2016. Subsequently, the Correlation coefficient between SPI and SRI indices as well as the propagation time from meteorological drought to hydrological drought were determined. The study found that the propagation time from meteorological drought to hydrological drought in Karkheh River Basin was five months. In addition, the standard precipitation index for the period 2030 to 2060 was calculated based on data from the sixth report of global climate change models. The results indicate an escalation in the duration of drought periods and the occurrence of drought events at 9 monitoring stations.

عليرضا گوهري

محمد جواد زارعيان

رضا مدرس , جهانگير عابدي كوپائي