Výsledky vyhledávání - "Streamflow projection"

Akademický článek

Assessing future changes in flood frequencies under CMIP6 climate projections using SWAT modeling: a case study of Bitlis Creek, Turkey

Autor: Emrah Yalcin

Publikováno v: Journal of Water and Climate Change, Vol 15, Iss 5, Pp 2212-2231 (2024)

Climate change is altering flood risk globally, with local variations prompting the necessity for regional assessments to guide the planning and management of water-related infrastructures. This study details an integrated framework for assessing fut

Externí odkaz: https://doaj.org/article/8e5d5dd27cbe48baaaff7e37a76b7c7f

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Akademický článek

Wavelet transform for medium-range streamflows projections in national interconnected system

Autor: Carlos Eduardo Sousa Lima, Marx Vinicius Maciel da Silva, Cleiton da Silva Silveira, Dr, Francisco das Chagas Vasconcelos Junior

Publikováno v: Revista Brasileira de Ciências Ambientais, Vol 57, Iss 1, Pp 72-83 (2021)

This study aimed to analyze the variability of average annual streamflow time series of the National Interconnected System (NIS) (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform (WT). Th

Externí odkaz: https://doaj.org/article/27c9495a7482416eb079d04a4a6d66ce

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Akademický článek

Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs

Autor: Yongyu Song, Jing Zhang, Yuequn Lai

Publikováno v: Journal of Water and Climate Change, Vol 12, Iss 7, Pp 3264-3281 (2021)

Due to the spatial heterogeneity, the hydrological model calibration results only at the total outlet of the basin may not represent the whole basin. To more accurately simulate the historical streamflow process within the Qujiang River Basin, we set

Externí odkaz: https://doaj.org/article/8392b4c594b84ec6a536797057187a71

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Akademický článek

Uncertainty assessment of water resources and long-term hydropower generation using a large ensemble of future climate projections for the Nam Ngum River in the Mekong Basin

Autor: Thatkiat Meema, Yasuto Tachikawa, Yutaka Ichikawa, Kazuaki Yorozu

Publikováno v: Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100856- (2021)

Study region: The Nam Ngum River Basin, the major tributary of the Mekong River, is located in the Laos PDR. Study focus: This study aims to assess the sensitivity of Nam Ngum 1 reservoir operation to water resource uncertainty driven by a combinatio

Externí odkaz: https://doaj.org/article/f5a484999e2346fbba061e2f38773d52

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Akademický článek

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Akademický článek

Using Convolutional Neural Networks for Streamflow Projection in California

Autor: Shiheng Duan, Paul Ullrich, Lele Shu

Publikováno v: Frontiers in Water, Vol 2 (2020)

In this study, a novel temporal convolutional neural network (TCNN) model is developed for long-term streamflow projection in California within the Catchment Attributes for Large-Sample Studies (CAMELS) watershed regions. The TCNN model consists of s

Externí odkaz: https://doaj.org/article/de614043fee94375aa16b1694a662e53

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Wavelet transform for medium-range streamflows projections in national interconnected system

Autor: Sousa Lima, Carlos Eduardo, Maciel da Silva, Marx Vinicius, da Silva Silveira, Cleiton, Vasconcelos Junior, Francisco das Chagas

Publikováno v: Revista Brasileira de Ciências Ambientais (Online); v. 57 n. 1 (2022): RBCIAMB-ISSN 2176-9478-Março; 72-83
Brazilian Journal of Environmental Sciences (Online); Vol. 57 No. 1 (2022): RBCIAMB-ISSN 2176-9478-March; 72-83
Revista Brasileira de Ciências Ambientais
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)
instacron:ABES

This study aimed to analyze the variability of average annualstreamflow time series of the National Interconnected System(NIS) (Brazil) and create a projection model of future streamflowscenarios from 3 to 10 years using wavelet transform (WT).The st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::06c108614a40ddf89f15e362a246d4aa
https://www.rbciamb.com.br/Publicacoes_RBCIAMB/article/view/1048

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