Long-term drought monitoring of the Zayandehrud River basin (central Iran) using hydroclimatological models and satellite observations

Masoud Babadi*, Siavash Iran Pour, Ribana Roscher, Alireza Amiri-Simkooei, Hamed Karimi

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
105 Downloads (Pure)

Abstract

Drought is one of the most complex and threatening disasters, defined as a period of drier-than-normal conditions which results in water-related problems. In addition to climate variation, human activities can cause or intensify drought through groundwater overextraction, unsupervised expansion of agricultural lands, etc. One prime example of such drought has been observed in the Zayandehrud River basin in central Iran. We investigate the long-term (1986 to 2019) drought of the Zayandehrud River basin using meteorological, hydrological, and agricultural drought indices. The main focus of this research is to explore the impact of the irrigated area expansion in the upstream sub-basins on the agricultural drought of the downstream. To this end, different drought indices are employed over the whole basin and its sub-basins. The results indicate that the long-term precipitation index and snow reserves do not show a long-term trend during the study period, while the combined precipitation-evapotranspiration index and groundwater storage decline. The research concludes that the expansion of the agricultural lands in the river upstream, rising air temperature, and increasing population and industrial activities in the basin are most likely the driving forces to intensify the agricultural drought in the midstream and downstream parts of the basin.

Original languageEnglish
Article number014504
Pages (from-to)1-27
Number of pages27
JournalJournal of Applied Remote Sensing
Volume16
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • drought monitoring
  • hydroclimatological models
  • satellite observations
  • Zayandehrud River

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