Hydrological and agricultural droughts assessment in a semi-arid basin: Inspecting the teleconnections of climate indices on a catchment scale

Saeed Vazifehkhah, Ercan Kahya*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

The hydrological and agricultural droughts and their characteristics were evaluated using the Standardized Streamflow Index (SSFI) and Standardized Soil Moisture Index (SSI) across the Konya Closed Basin (KCB) in Turkey, respectively. The Modified Mann-Kendall (MMK) trend method was applied to detect trends over the KCB. Furthermore, the teleconnections of various large-scale climate indices (LSCI: NAO, AO, PDO, SCAND, POLEUR and EA/WR) over 3-month SSFI and SSI series were considered through cross wavelet transform (XWT) technique. The analysis indicated an increase in drought duration and severity since 1999. The MMK test revealed significant negative trends for SSFI series at different time scales. A series of MMK test on different SSI series exhibited trendless behavior over the northern parts of the KCB; however, significant negative (positive) trend on southeastern (southwestern) area appeared to be prevailing. Moreover, the results of XWT analysis in association with different LSCI and SSFI/SSI series demonstrated multiple considerable common powers on lower periods (i.e., less than 8 month). The XWT analysis showed significant relationship between the LSCI with drought indices in some periods and the absence of such associations in the remaining period.

Original languageEnglish
Pages (from-to)413-425
Number of pages13
JournalAgricultural Water Management
Volume217
DOIs
Publication statusPublished - 20 May 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Funding

This research was partially supported by the Scientific Research Projects Unit of Istanbul Technical University through the project (# 39267). The authors would like to thank to General Directorate of Turkish state hydraulic works for providing the streamflow data. We also would like to appreciate NOAA/PSD, Boulder, Colorado, USA for providing Soil moisture data. We also appreciate the editors and the anonymous reviewers for their critical and valuable comments.

FundersFunder number
Istanbul Teknik Üniversitesi39267

    Keywords

    • Cross wavelet transform
    • Large-scale climate indices
    • Modified Mann-Kendall
    • Non-parametric drought indices
    • Turkey

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