Ye Tuo
Zitiert von
Zitiert von
Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales
Z Duan, J Liu, Y Tuo, G Chiogna, M Disse
Science of the Total Environment 573, 1536-1553, 2016
Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy)
Y Tuo, Z Duan, M Disse, G Chiogna
Science of the total environment 573, 66-82, 2016
Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia
Z Duan, Y Tuo, J Liu, H Gao, X Song, Z Zhang, L Yang, DF Mekonnen
Journal of hydrology 569, 612-626, 2019
A multi-objective approach to improve SWAT model calibration in alpine catchments
Y Tuo, G Marcolini, M Disse, G Chiogna
Journal of Hydrology 559, 347-360, 2018
Uncertainty of modelled flow regime for flow-ecological assessment in Southern Europe
O Vigiak, S Lutz, A Mentzafou, G Chiogna, Y Tuo, B Majone, H Beck, ...
Science of the Total Environment 615, 1028-1047, 2018
A new approach to quantify propagation time from meteorological to hydrological drought
S Ho, L Tian, M Disse, Y Tuo
Journal of Hydrology 603, 127056, 2021
Drivers of the water use efficiency changes in China during 1982–2015
H Sun, Y Bai, M Lu, J Wang, Y Tuo, D Yan, W Zhang
Science of the Total Environment 799, 149145, 2021
Coupling hydrological modeling and support vector regression to model hydropeaking in alpine catchments
G Chiogna, G Marcolini, W Liu, TP Ciria, Y Tuo
Science of the total environment 633, 220-229, 2018
Calibration of snow parameters in SWAT: Comparison of three approaches in the Upper Adige River basin (Italy)
Y Tuo, G Marcolini, M Disse, G Chiogna
Hydrological sciences journal 63 (4), 657-678, 2018
Fully automated snow depth measurements from time-lapse images applying a convolutional neural network
M Kopp, Y Tuo, M Disse
Science of The Total Environment 697, 134213, 2019
Integration of remote sensing and Mexican water quality monitoring system using an extreme learning machine
LF Arias-Rodriguez, Z Duan, JJ Díaz-Torres, M Basilio Hazas, J Huang, ...
Sensors 21 (12), 4118, 2021
The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains, Northwest China
S Wu, X Zhang, J Du, X Zhou, Y Tuo, R Li, Z Duan
Hydrological Processes 33 (12), 1686-1697, 2019
Development and application of high resolution SPEI drought dataset for Central Asia
K Pyarali, J Peng, M Disse, Y Tuo
Scientific data 9 (1), 172, 2022
A multi-criteria model selection protocol for practical applications to nutrient transport at the catchment scale
Y Tuo, G Chiogna, M Disse
Water 7 (6), 2851-2880, 2015
Distinguishable root plaque on root surface of Potamogeton crispus grown in two sediments with different nutrient status
W Mi, J Cai, Y Tuo, H Zhu, Y Hua, J Zhao, W Zhou, D Zhu
Limnology 14, 1-11, 2013
Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios
B Zhao, H Sun, D Yan, G Wei, Y Tuo, W Zhang
Journal of Hydrology: Regional Studies 38, 100968, 2021
Global water quality of inland waters with harmonized landsat-8 and sentinel-2 using cloud-computed machine learning
LF Arias-Rodriguez, UF Tüzün, Z Duan, J Huang, Y Tuo, M Disse
Remote Sensing 15 (5), 1390, 2023
Allocation of ecological water rights considering ecological networks in arid watersheds: A framework and case study of Tarim River basin
D Yan, L Chen, H Sun, W Liao, H Chen, G Wei, W Zhang, Y Tuo
Agricultural Water Management 267, 107636, 2022
Shifted discharge and drier soils: Hydrological projections for a Central Asian catchment
T Schaffhauser, S Lange, Y Tuo, M Disse
Journal of Hydrology: Regional Studies 46, 101338, 2023
Automated flood depth estimates from online traffic sign images: Explorations of a convolutional neural network-based method
Z Song, Y Tuo
Sensors 21 (16), 5614, 2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20