IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i14d10.1007_s11269-023-03612-y.html
   My bibliography  Save this article

Application of Copulas in Hydrometeorological Drought Risk Analysis Under Climate Change Scenarios- a Case Study

Author

Listed:
  • Jincy Rose M.A

    (National Institute of Technology Calicut)

  • Chithra N.R

    (National Institute of Technology Calicut)

Abstract

An in-depth understanding of drought frequency analysis in a river basin is possible only with a drought characterisation study. Multiple drought characteristics associated with the drought make it essential to analyse their joint behaviour in drought frequency analysis. Conventional univariate frequency analysis may produce overestimated or underestimated drought risk magnitudes. This study utilised the capability of bivariate copulas to construct the joint dependency amongst four drought characteristics (severity, duration, peak, and interarrival time) derived from the drought indices (Standardised Precipitation Index (SPI), Standardised Precipitation Evapotranspiration Index (SPEI), and Standardized Streamflow Index (SSI)) in a tropical river basin, the Bharathapuzha, India, during the historic period and climate change scenarios (RCP 4.5 and RCP 8.5). Appropriate distributions were selected for modelling the drought characteristics to capture the probabilistic behaviour. The best marginal distribution of each characteristic is obtained from the goodness of fit measures. Various copulas from the Archimedean and Elliptical families were applied to construct the four-dimensional joint distributions. Subsequently, the best-fit copula obtained the joint return periods. The results of joint dependence show that the Clayton and Gaussian copulas best fit with meteorological and hydrological drought, respectively, and the spatial investigation at the median threshold of the joint return period provides the hotspots of drought recurrences in the river basin with return periods in the range of 2 to 8 years during the historic period, greater than four years and greater than six years for RCP 4.5 and 8.5 scenarios.

Suggested Citation

  • Jincy Rose M.A & Chithra N.R, 2023. "Application of Copulas in Hydrometeorological Drought Risk Analysis Under Climate Change Scenarios- a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(14), pages 5399-5429, November.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:14:d:10.1007_s11269-023-03612-y
    DOI: 10.1007/s11269-023-03612-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03612-y
    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/s11269-023-03612-y?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. L. Vergni & F. Todisco & F. Mannocchi, 2015. "Erratum to: Analysis of agricultural drought characteristics through a two-dimensional copula," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4203-4204, September.
    2. Yixuan Wang & Jianzhu Li & Ping Feng & Rong Hu, 2015. "A Time-Dependent Drought Index for Non-Stationary Precipitation Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5631-5647, December.
    3. Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
    4. Anurag Malik & Anil Kumar & Ozgur Kisi & Najeebullah Khan & Sinan Q. Salih & Zaher Mundher Yaseen, 2021. "Analysis of dry and wet climate characteristics at Uttarakhand (India) using effective drought 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. 105(2), pages 1643-1662, January.
    5. J. Shiau, 2006. "Fitting Drought Duration and Severity with Two-Dimensional Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 795-815, October.
    6. Kimia Naderi & Mahnoosh Moghaddasi & Ashkan shokri, 2022. "Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2865-2888, June.
    7. Olusola O. Ayantobo & Yi Li & Songbai Song, 2019. "Multivariate Drought Frequency Analysis using Four-Variate Symmetric and Asymmetric Archimedean Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 103-127, January.
    8. Zahra Fahimirad & Nazanin Shahkarami, 2021. "The Impact of Climate Change on Hydro-Meteorological Droughts Using Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3969-3993, September.
    9. L. Vergni & F. Todisco & F. Mannocchi, 2015. "Analysis of agricultural drought characteristics through a two-dimensional copula," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2819-2835, June.
    10. Nelsen, Roger B., 1992. "On measures of association as measures of positive dependence," Statistics & Probability Letters, Elsevier, vol. 14(4), pages 269-274, July.
    11. Cong, Rong-Gang & Brady, Mark, 2012. "The Interdependence between Rainfall and Temperature: Copula Analyses," MPRA Paper 112149, University Library of Munich, Germany.
    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. Zahra Sadat Hosseini & Mahnoosh Moghaddasi & Shahla Paimozd, 2023. "Simultaneous Monitoring of Different Drought Types Using Linear and Nonlinear Combination Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1125-1151, February.
    2. Kimia Naderi & Mahnoosh Moghaddasi & Ashkan shokri, 2022. "Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2865-2888, June.
    3. Ihsan F. Hasan & Rozi Abdullah, 2022. "Agricultural Drought Characteristics Analysis Using Copula," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5915-5930, December.
    4. Zahra Fahimirad & Nazanin Shahkarami, 2021. "The Impact of Climate Change on Hydro-Meteorological Droughts Using Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3969-3993, September.
    5. Vergni, L. & Todisco, F. & Di Lena, B. & Mannocchi, F., 2020. "Bivariate analysis of drought duration and severity for irrigation planning," Agricultural Water Management, Elsevier, vol. 229(C).
    6. Asjad Naqvi & Franziska Gaupp & Stefan Hochrainer-Stigler, 2020. "The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 727-754, September.
    7. George Tsakiris & Nikos Kordalis & Dimitris Tigkas & Vasileios Tsakiris & Harris Vangelis, 2016. "Analysing Drought Severity and Areal Extent by 2D Archimedean Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5723-5735, December.
    8. Wu Zening & He Chentao & Huiliang Wang & Qian Zhang, 2020. "Reservoir Inflow Synchronization Analysis for Four Reservoirs on a Mainstream and its Tributaries in Flood Season Based on a Multivariate Copula Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2753-2770, July.
    9. Gómez, M. & Domínguez, M. C., 2015. "Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica," DES - Working Papers. Statistics and Econometrics. WS ws1513, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Chunyi Wang & Hans W. Linderholm & Yanling Song & Fang Wang & Yanju Liu & Jinfeng Tian & Jinxia Xu & Yingbo Song & Guoyu Ren, 2020. "Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    11. Elaheh Motevali Bashi Naeini & Ali Mohammad Akhoond-Ali & Fereydoun Radmanesh & Jahangir Abedi Koupai & Shahrokh Soltaninia, 2021. "Comparison of the Calculated Drought Return Periods Using Tri-variate and Bivariate Copula Functions Under Climate Change Condition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4855-4875, November.
    12. Ning Nie & Wanchang Zhang & Zhijie Zhang & Huadong Guo & Natarajan Ishwaran, 2016. "Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 279-294, January.
    13. Milan Cisty & Anna Becova & Lubomir Celar, 2016. "Analysis of Irrigation Needs Using an Approach Based on a Bivariate Copula Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 167-182, January.
    14. Yue, Wencong & Su, Meirong & Cai, Yanpeng & Rong, Qiangqiang & Tan, Zhenkun, 2021. "Reactive nitrogen loss from livestock-based food and biofuel production systems considering climate change and dietary transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Ibrahim Halil Deger & Musa Esıt & Mehmet Ishak Yuce, 2023. "Univariate and Bivariate Hydrological Drought Frequency Analysis by Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4881-4907, September.
    16. Ming Li & Guiwen Wang & Shengwei Zong & Xurong Chai, 2023. "Copula-Based Assessment and Regionalization of Drought Risk in China," IJERPH, MDPI, vol. 20(5), pages 1-16, February.
    17. Ali İ. Genç, 2021. "Products, Sums and Quotients of Upper Truncated Pareto Random Variables with an Application in Hydrology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 369-383, January.
    18. Ning Nie & Wanchang Zhang & Zhijie Zhang & Huadong Guo & Natarajan Ishwaran, 2016. "Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 279-294, January.
    19. Wencong Yue & Zhongqi Liu & Meirong Su & Meng Xu & Qiangqiang Rong & Chao Xu & Zhenkun Tan & Xuming Jiang & Zhixin Su & Yanpeng Cai, 2022. "Inclusion of Ecological Water Requirements in Optimization of Water Resource Allocation Under Changing Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 551-570, January.
    20. Neshat Jahannemaei & Payam Khosravinia & Hadi Sanikhani & Rasoul Mirabbasi, 2023. "Toward analyzing meteorological droughts in western Iran: a multivariate approach based on vine copulas," 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. 116(2), pages 1903-1929, March.

    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:37:y:2023:i:14:d:10.1007_s11269-023-03612-y. 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.