IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i10d10.1007_s11269-022-03239-5.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03239-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-022-03239-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Xinxin He & Jungang Luo & Ganggang Zuo & Jiancang Xie, 2019. "Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1571-1590, March.
    3. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1905-1920, December.
    4. 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.
    5. 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.
    6. Dimitris Tigkas & Harris Vangelis & George Tsakiris, 2020. "Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4329-4343, November.
    7. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2020. "Ability Assessment of the Stationary and Cyclostationary Time Series Models to Predict Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 5009-5029, December.
    2. 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.
    3. Yonca Cavus & Kerstin Stahl & Hafzullah Aksoy, 2022. "Revisiting Major Dry Periods by Rolling Time Series Analysis for Human-Water Relevance in Drought," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2725-2739, June.
    4. Qing Shuang & Rui Ting Zhao & Erik Porse, 2024. "Cluster Analysis and Predictive Modeling of Urban Water Distribution System Leaks with Socioeconomic and Engineering Factors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 385-400, January.
    5. Lili Wang & Yanlong Guo & Manhong Fan, 2022. "Improving Annual Streamflow Prediction by Extracting Information from High-frequency Components of Streamflow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4535-4555, September.
    6. Yani Lian & Jungang Luo & Jingmin Wang & Ganggang Zuo & Na Wei, 2022. "Climate-driven Model Based on Long Short-Term Memory and Bayesian Optimization for Multi-day-ahead Daily Streamflow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 21-37, January.
    7. Laura Şmuleac & Ciprian Rujescu & Adrian Șmuleac & Florin Imbrea & Isidora Radulov & Dan Manea & Anișoara Ienciu & Tabita Adamov & Raul Pașcalău, 2020. "Impact of Climate Change in the Banat Plain, Western Romania, on the Accessibility of Water for Crop Production in Agriculture," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    8. Nguyen Hong Duc & Pankaj Kumar & Pham Phuong Lan & Tonni Agustiono Kurniawan & Khaled Mohamed Khedher & Ali Kharrazi & Osamu Saito & Ram Avtar, 2023. "Hydrochemical indices as a proxy for assessing land-use impacts on water resources: a sustainable management perspective and case study of Can Tho City, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2573-2615, July.
    9. Wenxin Xu & Jie Chen & Xunchang J. Zhang, 2022. "Scale Effects of the Monthly Streamflow Prediction Using a State-of-the-art Deep Learning Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3609-3625, August.
    10. Farman Ali & Bing-Zhao Li & Zulfiqar Ali, 2021. "Strengthening Drought Monitoring Module by Ensembling Auxiliary Information Based Varying Estimators," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3235-3252, August.
    11. Varsha Pandey & Prashant K Srivastava & Sudhir K Singh & George P. Petropoulos & Rajesh Kumar Mall, 2021. "Drought Identification and Trend Analysis Using Long-Term CHIRPS Satellite Precipitation Product in Bundelkhand, India," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    12. Divya Saini & Omvir Singh & Tejpal Sharma & Pankaj Bhardwaj, 2022. "Geoinformatics and analytic hierarchy process based drought vulnerability assessment over a dryland ecosystem of north-western India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1427-1454, November.
    13. Farshad Ahmadi & Saeid Mehdizadeh & Babak Mohammadi, 2021. "Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4127-4147, September.
    14. Bao-Jian Li & Guo-Liang Sun & Yan Liu & Wen-Chuan Wang & Xu-Dong Huang, 2022. "Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Gray Wolf Optimizer-Based Long Short-term Memory Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 2095-2115, April.
    15. Soumyashree Dixit & V. Neethin & K. V. Jayakumar, 2023. "Assessment of Crop-Drought Relationship: A Climate Change Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4075-4095, August.
    16. Fangqin Zhang & Yan Kang & Xiao Cheng & Peiru Chen & Songbai Song, 2022. "A Hybrid Model Integrating Elman Neural Network with Variational Mode Decomposition and Box–Cox Transformation for Monthly Runoff Time Series Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3673-3697, August.
    17. Ruiling Sun & Ge Gao & Zaiwu Gong & Jie Wu, 2020. "A review of risk analysis methods for natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 571-593, January.
    18. Raissa Zurli Bittencourt Bravo & Ana Paula Martins do Amaral Cunha & Adriana Leiras & Fernando Luiz Cyrino Oliveira, 2021. "A new approach for a drought composite index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 755-773, August.
    19. Nyimbili, Penjani Hopkins & Erden, Turan, 2020. "GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    20. Farman Ali & Zulfiqar Ali & Bing-Zhao Li & Sadia Qamar & Amna Nazeer & Saba Riaz & Muhammad Asif Khan & Rabia Fayyaz & Javeria Nawaz Abbasi, 2022. "Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 2989-3005, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:36:y:2022:i:10:d:10.1007_s11269-022-03239-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.