IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v35y2021i1d10.1007_s11269-020-02716-z.html
   My bibliography  Save this article

Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression

Author

Listed:
  • Abdol Rassoul Zarei

    (Fasa University)

  • Mohammad Reza Mahmoudi

    (Fasa University)

Abstract

Climate changes and its undesirable impacts (such as melting glaciers, the occurrence of floods, hurricanes and droughts, etc.) are among the most important disasters that human beings have faced in recent decades. Considering the important role of the meteorological parameters on climate change, in this research the effectiveness rate of various meteorological parameters including the mean minimum and maximum annual temperature (Max-Temp and Min-Temp), the mean annual temperature (M-Temp), the mean annual sunshine (Sunshine), the mean annual relative humidity (Humidity), the mean annual wind speed (Wind) and the mean of annual precipitation (Rainfall) on United Nations Environmental Programme (UNEP) aridity index was assessed and prioritized using the Backward Multiple Ridge Regression (BMRR). In this study, the meteorological data series of 25 synoptic stations in Iran with different climate conditions during 1967–2017 was used. The results indicated that the BMRR method had a nice capability to predict the UNEP index using the above-mentioned meteorological parameters (the linear regression between observed and predicted the UNEP index had no difference with perfect reliable line (Y = X) at 0.05 significant levels and the R2 between two mentioned data series were significant at 0.01 levels at all stations). According to the results, Rainfall, Wind and Max-Temp parameters were the most effective parameters on the UNEP aridity index, respectively and the Min-Temp, M-Temp and Sunshine parameters were the least effective parameters on the UNEP index, respectively. Therefore, it is suggested that all human activities that have direct or indirect effects in the increasing temperature and reducing the rainfall must be revised and optimized based on the principles of sustainable development.

Suggested Citation

  • Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2021. "Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 159-177, January.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:1:d:10.1007_s11269-020-02716-z
    DOI: 10.1007/s11269-020-02716-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02716-z
    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/s11269-020-02716-z?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. Zekâi Şen, 2020. "Water Structures and Climate Change Impact: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4197-4216, October.
    2. Cristina Cattaneo & Michel Beine & Christiane J Fröhlich & Dominic Kniveton & Inmaculada Martinez-Zarzoso & Marina Mastrorillo & Katrin Millock & Etienne Piguet & Benjamin Schraven, 2019. "Human Migration in the Era of Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(2), pages 189-206.
    3. N. Amraoui & M. A. Sbai & P. Stollsteiner, 2019. "Assessment of Climate Change Impacts on Water Resources in the Somme River Basin (France)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2073-2092, April.
    4. Hadi Galavi & Majid Mirzaei, 2020. "Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2097-2109, April.
    5. Emna Guermazi & Marianne Milano & Emmanuel Reynard & Moncef Zairi, 2019. "Impact of climate change and anthropogenic pressure on the groundwater resources in arid environment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(1), pages 73-92, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdol Rassoul Zarei & Mohammad Mehdi Moghimi & Elham Koohi, 2021. "Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3593-3615, September.

    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. Théo Benonnier & Katrin Millock & Vis Taraz, 2022. "Long-term migration trends and rising temperatures: the role of irrigation," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 11(3), pages 307-330, July.
    2. Sem J. Duijndam & W. J. Wouter Botzen & Liselotte C. Hagedoorn & Philip Bubeck & Toon Haer & My Pham & Jeroen C. J. H. Aerts, 2023. "Drivers of migration intentions in coastal Vietnam under increased flood risk from sea level rise," Climatic Change, Springer, vol. 176(2), pages 1-22, February.
    3. Cattaneo, Cristina & Foreman, Timothy, 2023. "Climate change, international migration, and interstate conflicts," Ecological Economics, Elsevier, vol. 211(C).
    4. Els BEKEART & Ilse RUYSSEN & Sara SALOMONE, 2021. "Domestic and International Migration Intentions in Response to Environmental Stress: A Global Cross-country Analysis," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 87(3), pages 383-436, September.
    5. Sedova, Barbora & Kalkuhl, Matthias, 2020. "Who are the climate migrants and where do they go? Evidence from rural India," World Development, Elsevier, vol. 129(C).
    6. Li, Zhiyun & Ortiz-Bobea, Ariel, 2022. "On the Timing of Relevant Weather Conditions in Agriculture," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316528, Agricultural and Applied Economics Association.
    7. Thiede, Brian C. & Robinson, Abbie & Gray, Clark, 2022. "Climatic Variability and Internal Migration in Asia: Evidence from Integrated Census and Survey Microdata," SocArXiv hxv35, Center for Open Science.
    8. Luis Guillermo Becerra-Valbuena, 2021. "Droughts and Agricultural Adaptation to Climate Change," Working Papers halshs-03420657, HAL.
    9. Carolina Natel Moura & Sílvio Luís Rafaeli Neto & Claudia Guimarães Camargo Campos & Eder Alexandre Schatz Sá, 2020. "Hydrological Impacts of Climate Change in a Well-preserved Upland Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2255-2267, June.
    10. Filippo Maria D’Arcangelo & Ilai Levin & Alessia Pagani & Mauro Pisu & Åsa Johansson, 2022. "A framework to decarbonise the economy," OECD Economic Policy Papers 31, OECD Publishing.
    11. Robert McLeman & David Wrathall & Elisabeth Gilmore & Philip Thornton & Helen Adams & François Gemenne, 2021. "Conceptual framing to link climate risk assessments and climate-migration scholarship," Climatic Change, Springer, vol. 165(1), pages 1-7, March.
    12. Simone Bertoli & Frédéric Docquier & Hillel Rapoport & Ilse Ruyssen, 2022. "Weather shocks and migration intentions in Western Africa: insights from a multilevel analysis [Do climate variations explain bilateral migration? A gravity model analysis]," Journal of Economic Geography, Oxford University Press, vol. 22(2), pages 289-323.
    13. Michał Burzyński & Christoph Deuster & Frédéric Docquier & Jaime de Melo, 2022. "Climate Change, Inequality, and Human Migration," Journal of the European Economic Association, European Economic Association, vol. 20(3), pages 1145-1197.
    14. Clara Estrela-Segrelles & Gabriel Gómez-Martínez & Miguel Ángel Pérez-Martín, 2023. "Climate Change Risks on Mediterranean River Ecosystems and Adaptation Measures (Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2757-2770, May.
    15. Salvatore Di Falco; Anna B. Kis; Martina Viarengo, 2021. "Cumulative Climate Shocks and Migratory Flows: Evidence from Sub-Saharan Africa," CIES Research Paper series 73-2022, Centre for International Environmental Studies, The Graduate Institute.
    16. Barbora Šedová & Lucia Čizmaziová & Athene Cook, 2021. "A meta-analysis of climate migration literature," CEPA Discussion Papers 29, Center for Economic Policy Analysis.
    17. Lucas Bretschger & Karen Pittel, 2020. "Twenty Key Challenges in Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 725-750, December.
    18. Kerstin K. Zander & Stephen Garnett, 2020. "Risk and experience drive the importance of natural hazards for peoples’ mobility decisions," Climatic Change, Springer, vol. 162(3), pages 1639-1654, October.
    19. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.

    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:35:y:2021:i:1:d:10.1007_s11269-020-02716-z. 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.