Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches-Reference-Cited by-同舟云学术

Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches

Published:2024-06-10 Issue:7 Volume:155 Page:6965-6982
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Dia Radia Biswas,Mallick Javed,Aziz Tarak,Fattah Md Abdul,Ullah Sami,Salam Mohammed Abdus,Talukdar Swapan,Chu Ronghao,Islam Abu Reza Md Towfiqul^ORCID

Funder

King Khalid University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00704-024-05044-z.pdf

Reference71 articles.

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2. Adnan RM, Mostafa RR, Islam ARMT, Kisi O, Kuriqi A, Heddam S (2021) Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms. Comput Electron Agric 191(c):106541. https://doi.org/10.1016/j.compag.2021.106541

3. Ahmad I, Tang D, Wang T, Wang M, Wagan B (2015) Precipitation trends over time using Mann-Kendall and Spearman’s rho tests in Swat River Basin, Pakistan. Adv Meteorol 2015:1–15. https://doi.org/10.1155/2015/431860

4. Ahmad I, Zhang F, Tayyab M, AnjumMN, Zaman M, Liu J, Farid HU, Saddique Q (2018) Spatiotemporal analysis of precipitation variability in annual, seasonal, and extreme values over Upper Indus River basin. Atmos Res 213:346–360. https://doi.org/10.1016/j.atmosres.2018.06.019

5. Alam MM, Akter MY, Islam ARMT et al (2024) A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models. J Environ Manage 351:119714. https://doi.org/10.1016/j.jenvman.2023.119714