Imputation of missing monthly rainfall data using machine learning and spatial interpolation approaches in Thale Sap Songkhla River Basin, Thailand-Reference-Cited by-同舟云学术

Imputation of missing monthly rainfall data using machine learning and spatial interpolation approaches in Thale Sap Songkhla River Basin, Thailand

Published:2022-09-29 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Pinthong Sirimon,Ditthakit Pakorn^ORCID,Salaeh Nureehan,Hasan Mohd Abul,Son Cao Truong,Linh Nguyen Thi Thuy,Islam Saiful,Yadav Krishna Kumar

Funder

King Khalid University

Walailak University

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-23022-8.pdf

Reference67 articles.

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4. Armanuos AM, Al-Ansari N, Yaseen ZM (2020) Cross assessment of twenty-one different methods for missing precipitation data estimation. Atmosphere 11:389

5. Azman AH, Tukimat NNA, Malek M (2021) Comparison of missing rainfall data treatment analysis at Kenyir Lake. Page 012046 in IOP Conference Series: Materials Science and Engineering. IOP Publishing

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