Exploring the association between anomalies and multifractality variations in river flow time series-Reference-Cited by-同舟云学术

Exploring the association between anomalies and multifractality variations in river flow time series

Published:2022-05-19 Issue:7 Volume:67 Page:1084-1095
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Rahmani Farhang¹,Fattahi Mohammad Hadi¹

Affiliation:

1. Department of Civil Engineering, Marvdasht Branch Islamic Azad University, Marvdasht, Iran

Funder

specific grant from funding agencies in the public

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2069503

Reference49 articles.

1. Multifractal description of daily rainfall fields over India

2. Anton, (2020) powerspectrum.m. https://www.mathworks.com/matlabcentral/fileexchange/24227-powerspectrum-m), MATLAB Central File Exchange. Retrieved 17 December 2020.

3. LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

4. Espen Ihlen (2020) Multifractal detrended fluctuation analysis. https://www.mathworks.com/matlabcentral/fileexchange/38262-multifractal-detrended-fluctuation-analyses), MATLAB Central File Exchange. Retrieved 17 December 2020.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan;Discover Applied Sciences;2024-08-22

2. Groundwater level complexity analysis based on multifractal characteristics: a case study in Baotu Spring Basin, China;Theoretical and Applied Climatology;2023-11-28

3. Long-term evaluation of land use/land cover and hydrological drought patterns alteration consequences on river water quality;Environment, Development and Sustainability;2023-05-04

4. On the Spatial Scale Dependence of Long‐Term Persistence in Global Annual Precipitation Data and the Hurst Phenomenon;Water Resources Research;2023-04

5. Climate change-induced influences on the nonlinear dynamic patterns of precipitation and temperatures (case study: Central England);Theoretical and Applied Climatology;2023-03-30