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Drought Vulnerability Assessment Based on a Multi-criteria Integrated Approach and Application of Satellite-based Datasets

Author

Listed:
  • Roghayeh Ghasempour

    (University of Tabriz)

  • Mohammad Taghi Aalami

    (University of Tabriz)

  • Kiyoumars Roushangar

    (University of Tabriz)

Abstract

Drought as a complex event depends on some geo-environmental parameters. The impact of this phenomenon on the economy and environment can be devastating. Recognizing drought-prone regions is essential for planning and adopting mitigation measures. This study focused on introducing a multiscale method based on the satellite datasets to assess drought vulnerability in non-gage areas. In this regard, two steps were considered and drought monitoring was done for the northwest part of Iran as the study area. In the first step, vulnerable areas were identified using multi-criteria-kernel-based techniques which integrated 17 geo-environmental parameters extracted from the in-situ observations and satellite datasets to develop drought vulnerability map. The considered models were evaluated via different metrics and most important variables were determined by performing sensitivity analysis. Results indicated that the south and central parts of the selected area were more prone to severe droughts. Among the used variables, soil moisture, precipitation, evaporation, humidity, and vegetation condition were the most effective parameters. In the second step, due to limitations of the in-situ observations, drought-prone areas were identified using only precipitation, vegetation condition, and land surface temperature variables extracted from the satellites. For this aim, a new multi-scale method was developed based on the Wavelet Transform (WT), Variational Mode Decomposition (VMD), Permutation Entropy (HPE), and kernel-based methods. The obtained results showed the appropriate efficiency of the proposed multiscale method in identifying drought-prone areas with different intensity.

Suggested Citation

  • Roghayeh Ghasempour & Mohammad Taghi Aalami & Kiyoumars Roushangar, 2022. "Drought Vulnerability Assessment Based on a Multi-criteria Integrated Approach and Application of Satellite-based Datasets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3839-3858, August.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:10:d:10.1007_s11269-022-03239-5
    DOI: 10.1007/s11269-022-03239-5
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    References listed on IDEAS

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    1. Kiyoumars Roushangar & Roghayeh Ghasempour & Vahid Nourani, 2022. "Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 473-488, January.
    2. Hao Guo & Anming Bao & Tie Liu & Felix Ndayisaba & Daming He & Alishir Kurban & Philippe De Maeyer, 2017. "Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product," Sustainability, MDPI, vol. 9(6), pages 1-21, May.
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    5. Kiyoumars Roushangar & Roghayeh Ghasempour & Vahid Nourani, 2022. "Correction to: Spatiotemporal Analysis of Droughts Over Different Climate Regions Using Hybrid Clustering Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 489-489, January.
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    7. Mohammad Zare & Katrin Drastig & Manuela Zude-Sasse, 2019. "Tree Water Status in Apple Orchards Measured by Means of Land Surface Temperature and Vegetation Index (LST–NDVI) Trapezoidal Space Derived from Landsat 8 Satellite Images," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    8. U. Surendran & B. Anagha & P. Raja & V. Kumar & K. Rajan & M. Jayakumar, 2019. "Analysis of Drought from Humid, Semi-Arid and Arid Regions of India Using DrinC Model with Different Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1521-1540, March.
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