Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Pao Shan Yu"'
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3224 (2020)
Monthly rainfall forecasts can be translated into monthly runoff predictions that could support water resources planning and management activities. Therefore, development of monthly rainfall forecasting models in reservoir watersheds is essential for
Externí odkaz:
https://doaj.org/article/f096e6b92d544ccea430b480dd84a0c1
Publikováno v:
Climate, Vol 3, Iss 1, Pp 42-62 (2014)
The study aims to assess climate change impacts on streamflow drought in a catchment upstream of Tseng-Wen Reservoir which is the main water supplier in southern Taiwan. A singular-value-decomposition statistical downscaling method and a stochastic w
Externí odkaz:
https://doaj.org/article/541701517e3e42938af84d336f9d9ffc
Publikováno v:
Water Resources Management. 35:847-868
The study proposed a Standardized Precipitation Index (SPI) drought forecasting model based on singular spectrum analysis (SSA) and single least square support vector machine (LSSVM) with a twofold investigation: (Begueria et al. Int J Climatol, 34(1
Publikováno v:
Water, Vol 11, Iss 3, p 451 (2019)
A statistical downscaling approach for improving extreme rainfall simulation was proposed to predict the daily rainfalls at Shih-Men Reservoir catchment in northern Taiwan. The structure of the proposed downscaling approach is composed of two parts:
Externí odkaz:
https://doaj.org/article/2c12f547be264d8ca2ca86b6ce71689c
Autor:
Roozbeh Moazenzadeh, Nguyen Thi Thuy Linh, Ahmed El-Shafie, Ngoc Duong Vo, Babak Mohammadi, Haitham Abdulmohsin Afan, Ali Najah Ahmed, Quoc Bao Pham, Pao Shan Yu
Publikováno v:
Soft Computing. 24:18039-18056
Artificial intelligence (AI) models have been effectively applied to predict/forecast certain variable in several engineering applications, in particular, where this variable is highly stochastic in nature and complex to identify utilizing classical
Publikováno v:
Sensors, Vol 12, Iss 1, Pp 954-971 (2012)
This work provides a design for two types of sensors, based on the thermal dissipation and heat ratio methods of sap flow calculation, for moderate to large scale deployments for the purpose of monitoring tree transpiration. These designs include a p
Externí odkaz:
https://doaj.org/article/e48f1521c93541a59781859ab4fce932
Publikováno v:
Meteorological Applications. 25:510-522
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 27, Iss 6, p 991 (2016)
Typhoon Morakot hit southern Taiwan in 2009, bringing 48-hr of heavy rainfall [close to the Probable Maximum Precipitation (PMP)] to the Tsengwen Reservoir catchment. This extreme rainfall event resulted from the combined (co-movement) effect of two
Externí odkaz:
https://doaj.org/article/15b5f0c1015e4502a3285722a9413253
Publikováno v:
Applied Sciences, Vol 10, Iss 3224, p 3224 (2020)
Applied Sciences
Volume 10
Issue 9
Applied Sciences
Volume 10
Issue 9
Monthly rainfall forecasts can be translated into monthly runoff predictions that could support water resources planning and management activities. Therefore, development of monthly rainfall forecasting models in reservoir watersheds is essential for
Autor:
Pao Shan Yu, Bo Tsen Wang, Hung Wei Tseng, Natalia L. Frolova, Kuo Chin Hsu, R. G. Dzhamalov, Vadim Yu. Grigorev
Publikováno v:
Journal of Water and Climate Change. 11:54-73
Extreme hydrological events have occurred in many climate zones in recent decades. Most importantly, the water distribution in hydrological components has changed with apparent variations in climate. The associated impact on water resources is of con