152 related articles for article (PubMed ID: 33266848)
1. Application of Entropy Spectral Method for Streamflow Forecasting in Northwest China.
Zhang G; Zhou Z; Su X; Ayantobo OO
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266848
[TBL] [Abstract][Full Text] [Related]
2. Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin.
Wang X; Wang S; Cui H
Entropy (Basel); 2019 Jul; 21(8):. PubMed ID: 33267436
[TBL] [Abstract][Full Text] [Related]
3. Groundwater Depth Forecasting Using Configurational Entropy Spectral Analyses with the Optimal Input.
Guo T; Song S; Shi J; Li J
Ground Water; 2020 Sep; 58(5):749-758. PubMed ID: 31782144
[TBL] [Abstract][Full Text] [Related]
4. Quantifying the change in streamflow complexity in the Yangtze River.
Wang Y; Tao Y; Sheng D; Zhou Y; Wang D; Shi X; Wu J; Ma X
Environ Res; 2020 Jan; 180():108833. PubMed ID: 31731172
[TBL] [Abstract][Full Text] [Related]
5. Shannon information entropy for assessing space-time variability of rainfall and streamflow in semiarid region.
Rodrigues da Silva Vde P; Belo Filho AF; Rodrigues Almeida RS; de Holanda RM; da Cunha Campos JH
Sci Total Environ; 2016 Feb; 544():330-8. PubMed ID: 26657379
[TBL] [Abstract][Full Text] [Related]
6. Enhancing hydrological modeling with transformers: a case study for 24-h streamflow prediction.
Demiray BZ; Sit M; Mermer O; Demir I
Water Sci Technol; 2024 May; 89(9):2326-2341. PubMed ID: 38747952
[TBL] [Abstract][Full Text] [Related]
7. Estimating streamflow of the Kızılırmak River, Turkey with single- and multi-station datasets using Random Forests.
Dogan MS
Water Sci Technol; 2023 Jun; 87(11):2742-2755. PubMed ID: 37318921
[TBL] [Abstract][Full Text] [Related]
8. Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China.
Ma W; Kang Y; Song S
Entropy (Basel); 2019 Dec; 22(1):. PubMed ID: 33285813
[TBL] [Abstract][Full Text] [Related]
9. Variation analysis of streamflow and ecological flow for the twin rivers of the Miyun Reservoir Basin in northern China from 1963 to 2011.
Wang X; Hao G; Yang Z; Liang P; Cai Y; Li C; Sun L; Zhu J
Sci Total Environ; 2015 Dec; 536():739-749. PubMed ID: 26254074
[TBL] [Abstract][Full Text] [Related]
10. Machine learning models for streamflow regionalization in a tropical watershed.
Ferreira RG; Silva DDD; Elesbon AAA; Fernandes-Filho EI; Veloso GV; Fraga MS; Ferreira LB
J Environ Manage; 2021 Feb; 280():111713. PubMed ID: 33257181
[TBL] [Abstract][Full Text] [Related]
11. Application of deep learning approaches to predict monthly stream flows.
Dalkilic HY; Kumar D; Samui P; Dixon B; Yesilyurt SN; Katipoğlu OM
Environ Monit Assess; 2023 May; 195(6):705. PubMed ID: 37212953
[TBL] [Abstract][Full Text] [Related]
12. Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network.
Liu G; Ouyang S; Qin H; Liu S; Shen Q; Qu Y; Zheng Z; Sun H; Zhou J
Sci Total Environ; 2023 Jan; 855():158968. PubMed ID: 36162576
[TBL] [Abstract][Full Text] [Related]
13. Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland.
Aghelpour P; Graf R; Tomaszewski E
Environ Sci Pollut Res Int; 2023 Apr; 30(19):56440-56463. PubMed ID: 36920613
[TBL] [Abstract][Full Text] [Related]
14. Ensemble streamflow forecasting based on variational mode decomposition and long short term memory.
Sun X; Zhang H; Wang J; Shi C; Hua D; Li J
Sci Rep; 2022 Jan; 12(1):518. PubMed ID: 35017569
[TBL] [Abstract][Full Text] [Related]
15. Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with Lasso.
Song Y; Zhang J
Water Sci Technol; 2024 May; 89(9):2367-2383. PubMed ID: 38747954
[TBL] [Abstract][Full Text] [Related]
16. Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia.
Tareke KA; Awoke AG
Heliyon; 2023 Feb; 9(2):e13287. PubMed ID: 36816247
[TBL] [Abstract][Full Text] [Related]
17. Trend analysis and forecasting of streamflow using random forest in the Punarbhaba River basin.
Talukdar S; Pal S; Shahfahad ; Naikoo MW; Parvez A; Rahman A
Environ Monit Assess; 2022 Nov; 195(1):153. PubMed ID: 36435930
[TBL] [Abstract][Full Text] [Related]
18. Prediction of Yangtze River streamflow based on deep learning neural network with El Niño-Southern Oscillation.
Ha S; Liu D; Mu L
Sci Rep; 2021 Jun; 11(1):11738. PubMed ID: 34083594
[TBL] [Abstract][Full Text] [Related]
19. Impacts of reservoirs on the streamflow and sediment load of the Hanjiang River, China.
Qian B; Zhang D; Wang J; Huang F; Wu Y
Environ Monit Assess; 2016 Nov; 188(11):646. PubMed ID: 27796831
[TBL] [Abstract][Full Text] [Related]
20. Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow.
Reis GB; da Silva DD; Fernandes Filho EI; Moreira MC; Veloso GV; Fraga MS; Pinheiro SAR
J Environ Manage; 2021 Jul; 290():112625. PubMed ID: 33895452
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]