Preprints
https://doi.org/10.5194/hessd-12-5187-2015
https://doi.org/10.5194/hessd-12-5187-2015
03 Jun 2015
 | 03 Jun 2015
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Identification of spatiotemporal patterns of biophysical droughts in semi-arid region – a case study of the Karkheh river basin in Iran

B. Kamali, K. C. Abbaspour, A. Lehmann, B. Wehrli, and H. Yang

Abstract. This study aims at identifying historical patterns of meteorological, hydrological, and agricultural (inclusively biophysical) droughts in the Karkheh River Basin (KRB), one of the nine benchmark watersheds of the CGIAR Challenge Program on Water and Food. Standardized precipitation index (SPI), standardized runoff index (SRI), and soil moisture deficit index (SMDI) were used to represent the above three types of droughts, respectively. The three drought indices were compared across temporal and spatial dimensions. Variables required for calculating the indices were obtained from the Soil and Water Assessment Tool (SWAT) constructed for the region. The model was calibrated based on monthly runoff and yearly wheat yield using the Sequential Uncertainty Fitting (SUFI-2) algorithm. Five meteorological drought events were identified in the studied period (1980–2004), of which four corresponded with the hydrological droughts with 1–3 month lag. The meteorological droughts corresponded well with the agricultural droughts during dry months (May–August), while the latter lasted for a longer period of time. Analysis of drought patterns showed that southern parts of the catchment were more prone to agricultural drought, while less influenced by hydrological drought. Our analyses highlighted the necessity for monitoring all three aspects of drought for a more effective watershed management. The analysis on different types of droughts in this study provides a framework for assessing their possible impacts under future climate change in semi-arid areas.

B. Kamali, K. C. Abbaspour, A. Lehmann, B. Wehrli, and H. Yang
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
B. Kamali, K. C. Abbaspour, A. Lehmann, B. Wehrli, and H. Yang
B. Kamali, K. C. Abbaspour, A. Lehmann, B. Wehrli, and H. Yang

Viewed

Total article views: 1,571 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
990 512 69 1,571 80 88
  • HTML: 990
  • PDF: 512
  • XML: 69
  • Total: 1,571
  • BibTeX: 80
  • EndNote: 88
Views and downloads (calculated since 03 Jun 2015)
Cumulative views and downloads (calculated since 03 Jun 2015)

Cited

Saved

Discussed

Latest update: 18 Apr 2024
Download
Short summary
This study identified historical patterns of meteorological, hydrological, and agricultural droughts in the Karkheh River Basin in Iran. The SWAT model was used to obtain the variables required for calculating drought indices. Five meteorological droughts were identified, of which four corresponded with the hydrological droughts with 1-3 month lag. The meteorological droughts corresponded with the agricultural droughts during dry months, while the latter lasted for a longer time.