Research on the Degree of Non-Stationarity in Extreme Precipitation in the Continental United States

Junbo Shao, Jingcai Wang (), Wenyue Wang, Fan Li and Chen Wu
Additional contact information
Junbo Shao: Yangzhou University
Jingcai Wang: Yangzhou University
Wenyue Wang: Yangzhou University
Fan Li: Yangzhou University
Chen Wu: Yangzhou University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 2, No 7, 537-551

Abstract: Abstract The non-stationarity of identifying hydrological extreme sequences is essential for understanding the patterns of hydrological systems and conducting reasonable risk assessments. Currently, research on detecting non-stationarity primarily determines whether the parameters of the sequence change through statistical tests. The study introduces the concept of distribution change to detect non-stationarity and proposes the Cumulative Distribution function Change Indicator (CDCI) to quantify the degree of non-stationarity in extreme sequences. Based on Hourly Precipitation Data from 102 U.S. Weather Stations, 1975–2021. Comparison with other methods commonly used for non-stationarity identification validates the reasonableness of CDCI. Additionally, it explores the relationship between non-stationarity, distribution, and return period based on CDCI. The research results demonstrate that: (1) Distribution change can reflect the non-stationarity of sequences, and CDCI is more sensitive compared to conventional non-stationarity identification methods; (2) By combining CDCI with return period change, the response of distribution to non-stationarity can be identified, including the location and degree of distributional change. The study demonstrates the feasibility and validity of distributional change being used as a measure of non-stationarity in hydrological extreme sequences. Furthermore, the results reveal the possible relationship between non-stationarity, distribution change, and return period change.

Keywords: Degree of non-stationarity; Distribution change; Return period; The response of distribution to non-stationarity; Extreme precipitation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03683-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:38:y:2024:i:2:d:10.1007_s11269-023-03683-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-023-03683-x

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().