TY - JOUR
T1 - Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM)
T2 - A case study in Hulu Terengganu catchment, Malaysia
AU - Che Wan Zanial, Wan Norsyuhada
AU - Malek, Marlinda Abdul
AU - Md Reba, Mohd Nadzri
AU - Zaini, Nuratiah
AU - Ahmed, Ali Najah
AU - Sherif, Mohsen
AU - Elshafie, Ahmed
N1 - Funding Information:
This MSc study is financially supported by BOLD Scholarship, College of Graduate School. Universiti Tenaga Nasional , Malaysia.
Publisher Copyright:
© 2023 The Authors
PY - 2023/5
Y1 - 2023/5
N2 - The hydropower Plant in Terengganu is one of the major hydroelectric dams currently operated in Malaysia. For better operating and scheduling, accurate modelling of natural inflow is vital for a hydroelectric dam. The rainfall-runoff model is among the most reliable models in predicting the inflow based on the rainfall events. Such a model's reliability depends entirely on the reliability and consistency of the rainfall events assessed. However, due to the hydropower plant's remote location, the cost associated with maintaining the installed rainfall stations became a burden. Therefore, the study aims to create a continuous set of rainfall data before, during, and after the construction of a hydropower plant and simulate a rainfall-runoff model for the area. It also examines the reliability of alternative methods by combining rainfall data from two sources: the general circulation model and tropical rainfall measuring mission. Rainfall data from ground stations and generated data using inverse distance weighted method will be compared. The statistical downscaling model will obtain regional rainfall from the general circulation model. The data will be divided into three stages to evaluate the accuracy of the models in capturing inflow changes. The results revealed that rainfall data from TRMM is more correlated to ground station data with R2 = 0.606, while SDSM data has R2 = 0.592. The proposed inflow model based on GCM-TRMM data showed higher precision compared to the model using ground station data. The proposed model consistently predicted inflow during three stages with R2 values ranging from 0.75 to 0.93.
AB - The hydropower Plant in Terengganu is one of the major hydroelectric dams currently operated in Malaysia. For better operating and scheduling, accurate modelling of natural inflow is vital for a hydroelectric dam. The rainfall-runoff model is among the most reliable models in predicting the inflow based on the rainfall events. Such a model's reliability depends entirely on the reliability and consistency of the rainfall events assessed. However, due to the hydropower plant's remote location, the cost associated with maintaining the installed rainfall stations became a burden. Therefore, the study aims to create a continuous set of rainfall data before, during, and after the construction of a hydropower plant and simulate a rainfall-runoff model for the area. It also examines the reliability of alternative methods by combining rainfall data from two sources: the general circulation model and tropical rainfall measuring mission. Rainfall data from ground stations and generated data using inverse distance weighted method will be compared. The statistical downscaling model will obtain regional rainfall from the general circulation model. The data will be divided into three stages to evaluate the accuracy of the models in capturing inflow changes. The results revealed that rainfall data from TRMM is more correlated to ground station data with R2 = 0.606, while SDSM data has R2 = 0.592. The proposed inflow model based on GCM-TRMM data showed higher precision compared to the model using ground station data. The proposed model consistently predicted inflow during three stages with R2 values ranging from 0.75 to 0.93.
KW - GCM
KW - Hydropower plant
KW - Inflow
KW - SDSM
KW - TRMM
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U2 - 10.1016/j.heliyon.2023.e15740
DO - 10.1016/j.heliyon.2023.e15740
M3 - Article
AN - SCOPUS:85153590862
SN - 2405-8440
VL - 9
JO - Heliyon
JF - Heliyon
IS - 5
M1 - e15740
ER -