Results 1 - 20 of 1,646 for All Library Resources
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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Combining Optical and Acoustic Backscatter Measurements for Monitoring of Fine Suspended‐Sediment Concentration Under Changes in Particle Size and DensityWater resources research, 2023-08, Vol.59 (8), p.n/a [Peer Reviewed Journal]2023 The Authors. ;2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2022WR033982Full text available |
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River suspended sediment load prediction based on river discharge information: application of newly developed data mining modelsHydrological sciences journal, 2020-03, Vol.65 (4), p.624-637 [Peer Reviewed Journal]2020 IAHS 2020 ;2020 IAHS ;ISSN: 0262-6667 ;EISSN: 2150-3435 ;DOI: 10.1080/02626667.2019.1703186Full text available |
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Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysisHydrological sciences journal, 2020-09, Vol.65 (12), p.2022-2042 [Peer Reviewed Journal]2020 IAHS 2020 ;2020 IAHS ;ISSN: 0262-6667 ;EISSN: 2150-3435 ;DOI: 10.1080/02626667.2020.1786571Full text available |
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Uncertainty Analysis on Hybrid Double Feedforward Neural Network Model for Sediment Load Estimation with LUBE MethodWater resources management, 2019-08, Vol.33 (10), p.3563-3577 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;Water Resources Management is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-019-02318-4Full text available |
| 5 |
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Updating the neural network sediment load models using different sensitivity analysis methods: a regional applicationJournal of hydroinformatics, 2020-05, Vol.22 (3), p.562-577 [Peer Reviewed Journal]Copyright IWA Publishing May 2020 ;ISSN: 1464-7141 ;EISSN: 1465-1734 ;DOI: 10.2166/hydro.2020.098Full text available |
| 6 |
Material Type: Article
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Suspended sediment load prediction using artificial neural network and ant lion optimization algorithmEnvironmental science and pollution research international, 2020-10, Vol.27 (30), p.38094-38116 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-020-09876-wFull text available |
| 7 |
Material Type: Article
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Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load predictionEnvironmental science and pollution research international, 2021, Vol.28 (2), p.1596-1611 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-020-10421-y ;PMID: 32851519Full text available |
| 8 |
Material Type: Article
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The improvement of wavelet-based multilinear regression for suspended sediment load modeling by considering the physiographic characteristics of the watershedWater science and technology, 2023-04, Vol.87 (7), p.1791-1802 [Peer Reviewed Journal]Copyright IWA Publishing Apr 2023 ;ISSN: 0273-1223 ;EISSN: 1996-9732 ;DOI: 10.2166/wst.2023.089 ;PMID: 37051798Full text available |
| 9 |
Material Type: Article
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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load predictionEnvironmental science and pollution research international, 2021-03, Vol.28 (9), p.11637-11649 [Peer Reviewed Journal]Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-020-11335-5 ;PMID: 33125681Full text available |
| 10 |
Material Type: Article
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K isotopes as a tracer for continental weathering and geological K cyclingProceedings of the National Academy of Sciences - PNAS, 2019-04, Vol.116 (18), p.8740-8745 [Peer Reviewed Journal]Copyright National Academy of Sciences Apr 30, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1811282116 ;PMID: 30988182Full text available |
| 11 |
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Recent anthropogenic curtailing of Yellow River runoff and sediment load is unprecedented over the past 500 yProceedings of the National Academy of Sciences - PNAS, 2020-08, Vol.117 (31), p.18251-18257 [Peer Reviewed Journal]Copyright National Academy of Sciences Aug 4, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1922349117 ;PMID: 32690701Full text available |
| 12 |
Material Type: Article
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A Wavelet Based Data Mining Technique for Suspended Sediment Load ModelingWater resources management, 2019-03, Vol.33 (5), p.1769-1784 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;Water Resources Management is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-019-02216-9Full text available |
| 13 |
Material Type: Article
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Artificial intelligence for suspended sediment load prediction: a reviewEnvironmental earth sciences, 2021-05, Vol.80 (9), Article 346 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-021-09625-3Full text available |
| 14 |
Material Type: Article
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Suspended sediment load prediction based on soft computing models and Black Widow Optimization Algorithm using an enhanced gamma testEnvironmental science and pollution research international, 2021-09, Vol.28 (35), p.48253-48273 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-021-14065-4 ;PMID: 33904136Full text available |
| 15 |
Material Type: Article
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Quantifying natural and anthropogenic impacts on streamflow and sediment load reduction in the upper to middle Yellow River BasinJournal of hydrology. Regional studies, 2024-06, Vol.53, p.101788, Article 101788 [Peer Reviewed Journal]2024 The Authors ;ISSN: 2214-5818 ;EISSN: 2214-5818 ;DOI: 10.1016/j.ejrh.2024.101788Full text available |
| 16 |
Material Type: Article
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Grain shape effects in bed load sediment transportNature (London), 2023-01, Vol.613 (7943), p.298-302 [Peer Reviewed Journal]2023. The Author(s), under exclusive licence to Springer Nature Limited. ;Copyright Nature Publishing Group Jan 12, 2023 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-022-05564-6 ;PMID: 36631652Full text available |
| 17 |
Material Type: Article
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Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategyJournal of water and climate change, 2021-09, Vol.12 (6), p.2422-2443 [Peer Reviewed Journal]Copyright IWA Publishing Sep 2021 ;ISSN: 2040-2244 ;EISSN: 2408-9354 ;DOI: 10.2166/wcc.2021.317Full text available |
| 18 |
Material Type: Article
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Global silicate weathering flux overestimated because of sediment-water cation exchangeProceedings of the National Academy of Sciences - PNAS, 2021-01, Vol.118 (1), p.1 [Peer Reviewed Journal]Copyright National Academy of Sciences Jan 5, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2016430118 ;PMID: 33443143Full text available |
| 19 |
Material Type: Article
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A global map of mangrove forest soil carbon at 30 m spatial resolutionEnvironmental research letters, 2018-05, Vol.13 (5), p.55002 [Peer Reviewed Journal]2018 The Author(s). Published by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/aabe1c ;CODEN: ERLNALFull text available |
| 20 |
Material Type: Article
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Prediction of Suspended Sediment Load Using Data-Driven ModelsWater (Basel), 2019-10, Vol.11 (10), p.2060 [Peer Reviewed Journal]2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w11102060Full text available |
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