UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 149

Sortiert nach

Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine Learning Methods

Remote sensing (Basel, Switzerland), 2023-12, Vol.15 (23), p.5524

2023

Volltextzugriff (PDF)

Identification of the controlling factors for hydrological responses by artificial neural networks

Hydrological processes, 2021-11, Vol.35 (11), p.n/a

2021

Volltextzugriff (PDF)

Precipitation assimilation from gauge and satellite products by a Bayesian method with Gamma distribution

International journal of remote sensing, 2021-02, Vol.42 (3), p.1017-1034

2021

Volltextzugriff (PDF)

Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence

Journal of hydrology. Regional studies, 2022-12, Vol.44, p.101204, Article 101204

2022

Volltextzugriff (PDF)

Historical pan evaporation changes in the Qiantang River Basin, East China

International journal of climatology, 2016-03, Vol.36 (4), p.1928-1942

2016

Volltextzugriff (PDF)

Physical Properties and Polymorphism of Acrylic Acid-Grafted Poly(1,4-butylene adipate-co-terephthalate)/Organically Modified Layered Double Hydroxide Nanocomposites

Polymers, 2022-01, Vol.14 (3), p.492

2022

Volltextzugriff (PDF)

Integrating hydrometeorological information for rainfall-runoff modelling by artificial neural networks

Hydrological processes, 2009-05, Vol.23 (11), p.1650-1659

2009

Volltextzugriff (PDF)

Development of an Interdisciplinary Prediction System Combining Sediment Transport Simulation and Ensemble Method

Water (Basel), 2021-09, Vol.13 (18), p.2588

2021

Volltextzugriff (PDF)

Merging multiple precipitation sources for flash flood forecasting

Journal of hydrology (Amsterdam), 2007-07, Vol.340 (3), p.183-196

2007

Volltextzugriff (PDF)

Dynamic ANN for precipitation estimation and forecasting from radar observations

Journal of hydrology (Amsterdam), 2007-02, Vol.334 (1), p.250-261

2007

Volltextzugriff (PDF)

Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method

Natural hazards (Dordrecht), 2024-03, Vol.120 (4), p.3213-3238

2024

Volltextzugriff (PDF)

Identifying the Sensitivity of Ensemble Streamflow Prediction by Artificial Intelligence

Water (Basel), 2018-10, Vol.10 (10), p.1341

2018

Volltextzugriff (PDF)

Modeling and Investigating the Mechanisms of Groundwater Level Variation in the Jhuoshui River Basin of Central Taiwan

Water (Basel), 2019, Vol.11 (8), p.1554

2019

Volltextzugriff (PDF)

Dynamic neural networks for real-time water level predictions of sewerage systems-covering gauged and ungauged sites

Hydrology and earth system sciences, 2010-07, Vol.14 (7), p.1309-1319

2010

Volltextzugriff (PDF)

Investigating the impact of the Chi-Chi earthquake on the occurrence of debris flows using artificial neural networks

Hydrological processes, 2009-09, Vol.23 (19), p.2728-2736

2009

Volltextzugriff (PDF)

Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information

Journal of hydrology (Amsterdam), 2014-01, Vol.508, p.374-384

2014

Volltextzugriff (PDF)

A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China

Hydrological sciences journal, 2017-11, Vol.62 (15), p.2511-2530

2017

Volltextzugriff (PDF)

Synthesis, Characterization, and Physical Properties of Maleic Acid-Grafted Poly(butylene adipate-co-terephthalate)/Cellulose Nanocrystal Composites

Polymers, 2022-07, Vol.14 (13), p.2742

2022

Volltextzugriff (PDF)

A two-step-ahead recurrent neural network for stream-flow forecasting

Hydrological processes, 2004-01, Vol.18 (1), p.81-92

2004

Volltextzugriff (PDF)

Exploring the Mechanism of Surface and Ground Water through Data-Driven Techniques with Sensitivity Analysis for Water Resources Management

Water resources management, 2016-10, Vol.30 (13), p.4789-4806

2016

Volltextzugriff (PDF)

Comparison of static-feedforward and dynamic-feedback neural networks for rainfall–runoff modeling

Journal of hydrology (Amsterdam), 2004-05, Vol.290 (3), p.297-311

2004

Volltextzugriff (PDF)

Evaluating the contribution of multi-model combination to streamflow hindcasting by empirical and conceptual models

Hydrological sciences journal, 2017-07, Vol.62 (9), p.1456-1468

2017

Volltextzugriff (PDF)

A novel SPH-SWEs approach for modeling subcritical and supercritical flows at open channel junctions

Journal of hydro-environment research, 2016-12, Vol.13, p.76-88

2016

Volltextzugriff (PDF)

Multi-step-ahead neural networks for flood forecasting

Hydrological sciences journal, 2007-02, Vol.52 (1), p.114-130

2007

Volltextzugriff (PDF)

A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses

Natural hazards (Dordrecht), 2012-09, Vol.63 (2), p.769-787

2012

Volltextzugriff (PDF)

1 – 25 von 149

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(134)
Mit Volltextzugriff
(139)

Publikationsform

Sprache

Englisch
(148)
Japanisch
(23)

Erscheinungsjahr

n.n

Thema

Science & Technology
(124)
Life Sciences & Biomedicine
(74)
Physical Sciences
(48)
Humans
(45)
Technology
(33)
Exact Sciences And Technology
(28)
Water Resources
(22)
Engineering
(21)
Female
(21)
Male
(20)
Environmental Sciences
(19)
Environmental Sciences & Ecology
(19)
Applied Sciences
(17)
Middle Aged
(16)
Cell Line, Tumor
(15)
Integrative & Complementary Medicine
(15)
Aged
(13)
Hydrology
(13)
Pollution
(13)
Engineering, Civil
(12)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine Learning Methods

Identification of the controlling factors for hydrological responses by artificial neural networks

Precipitation assimilation from gauge and satellite products by a Bayesian method with Gamma distribution

Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence

Historical pan evaporation changes in the Qiantang River Basin, East China

Physical Properties and Polymorphism of Acrylic Acid-Grafted Poly(1,4-butylene adipate-co-terephthalate)/Organically Modified Layered Double Hydroxide Nanocomposites

Integrating hydrometeorological information for rainfall-runoff modelling by artificial neural networks

Development of an Interdisciplinary Prediction System Combining Sediment Transport Simulation and Ensemble Method

Merging multiple precipitation sources for flash flood forecasting

Dynamic ANN for precipitation estimation and forecasting from radar observations

Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method

Identifying the Sensitivity of Ensemble Streamflow Prediction by Artificial Intelligence

Modeling and Investigating the Mechanisms of Groundwater Level Variation in the Jhuoshui River Basin of Central Taiwan

Dynamic neural networks for real-time water level predictions of sewerage systems-covering gauged and ungauged sites

Investigating the impact of the Chi-Chi earthquake on the occurrence of debris flows using artificial neural networks

Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information

A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China

Synthesis, Characterization, and Physical Properties of Maleic Acid-Grafted Poly(butylene adipate-co-terephthalate)/Cellulose Nanocrystal Composites

A two-step-ahead recurrent neural network for stream-flow forecasting

Exploring the Mechanism of Surface and Ground Water through Data-Driven Techniques with Sensitivity Analysis for Water Resources Management

Comparison of static-feedforward and dynamic-feedback neural networks for rainfall–runoff modeling

Evaluating the contribution of multi-model combination to streamflow hindcasting by empirical and conceptual models

A novel SPH-SWEs approach for modeling subcritical and supercritical flows at open channel junctions

Multi-step-ahead neural networks for flood forecasting

A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses

Suchergebnisse filtern