Coupling uncertain patterns of climatic variables in estimating evaporation from open water bodies-Reference-Cited by-同舟云学术

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Coupling uncertain patterns of climatic variables in estimating evaporation from open water bodies

Published:2023-11-09 Issue: Volume: Page:
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Nourani Vahid,Sayyah-Fard Mina,Zhang Yongqiang

Funder

CAS Pioneer Talents Program and CAS-PIFI professorial fellowship

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02549-3.pdf

Reference69 articles.

1. Allen MR, Ingram WJ (2002) Constraints on future changes in climate and the hydrologic cycle. Nature 419:224–232

2. Adamala S, Raghuwanshi NS, Mishra A (2018) Development of generalized higher order neural network-based models for estimating pan evaporation. In Book: Hydrologic Modeling. 55–71.

3. Altman GD, Machin D, Bryant TN, Gardner MJ (2000) Statistics with Confidence. BMJ book, 1–254, ISBN 978 0 72791375 3.

4. Azzahari AD, Yusuf SNF, Selvanathan V, Yahya R (2016) Artificial neural network and response surface methodology modeling in ionic conductivity predictions of Phthaloylchitosan-based gel polymer electrolyte. Polymers 8:22. https://doi.org/10.3390/polym8020022

5. Abed M, Imteaz MA, Ahmed AN, Huang YF (2023) A novel application of transformer neural network (TNN) for estimating pan evaporation rate. Water Sci Appl. https://doi.org/10.1007/s13201-022-01834-w

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