Projection of spatiotemporal variability of wave power in the Persian Gulf by the end of 21st century: GCM and CORDEX ensemble
被引:13
作者:
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机构:
Alizadeh, Mohamad Javad
[1
]
Alinejad-Tabrizi, Tahereh
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tehran, Grad Fac Environm, Tehran, IranKN Toosi Univ Technol, Fac Civil Engn, Tehran, Iran
Alinejad-Tabrizi, Tahereh
[2
]
论文数: 引用数:
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Kavianpour, Mohamad Reza
[1
]
Shamshirband, Shahaboddin
论文数: 0引用数: 0
h-index: 0
机构:
Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
Ton Duc Thang Univ, Fac Informat Technol, Ho Chi Minh City, VietnamKN Toosi Univ Technol, Fac Civil Engn, Tehran, Iran
Shamshirband, Shahaboddin
[3
,4
]
机构:
[1] KN Toosi Univ Technol, Fac Civil Engn, Tehran, Iran
[2] Univ Tehran, Grad Fac Environm, Tehran, Iran
[3] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
[4] Ton Duc Thang Univ, Fac Informat Technol, Ho Chi Minh City, Vietnam
Renewable energy;
Climate change;
CORDEX;
Representative concentration pathways;
Energy management;
CLIMATE-CHANGE IMPACTS;
EUROPEAN WIND ENERGY;
COASTAL PROTECTION;
RESOURCE;
FARMS;
WEST;
D O I:
10.1016/j.jclepro.2020.120400
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This study investigates future variability of wave power in the Persian Gulf. The contribution of this paper is twofold: (a) to evaluate spatiotemporal resolutions, downscaling techniques and global circulation model (GCM) selection impacts running multi-climate models, and (b) to project wave energy resources and its variability by the end of 21st century using RCP4.5 and RCP8.5 as two different representative concentration pathways (RCPs). The SWAN (Simulating Waves Nearshore) model forcing with near surface wind components was employed for wave simulation. The numerical wave model was calibrated and validated using wave measurements by two buoys prior to wave energy computations. The results of wave models obtained from different climate models showed a wide range of variety for different climatic resources associated with GCM selection, temporal and spatial resolutions and downscaling approach. Outputs of the wave model forcing with 3 hourly wind data of CMCC-CM and CORDEX-MPI (Max Plank Institute) with daily temporal resolution were recognized as the models with the best performance. Using a weighted average of these two models, the wave characteristics were obtained and wave energy were computed for the historical and future periods. Temporal distribution of energy shows highly intra-annual and seasonal variability when the mean wave power for the strongest month exceeds 1000 Watt per meter that is 10 times higher than the mean wave power in the weakest month. Similarly, a strong spatial variability in wave power distribution was revealed where the middle part of the Gulf has found to have the highest energy and the eastern and northwestern regions have the lowest energy. The projections illustrated a decreasing trend on future wave energy up to 40% in the Iranian coastlines and lower rate of changes in the southern stripe of the study area. (C) 2020 Elsevier Ltd. All rights reserved.
机构:
Inst Super Engn Porto, Rua Dr Antonio Bernardino de Almeida 341, P-4200072 Oporto, PortugalUniv Aveiro, CESAM Dept Phys, Campus Univ Santiago, P-3810193 Aveiro, Portugal
机构:
Inst Super Engn Porto, Rua Dr Antonio Bernardino de Almeida 341, P-4200072 Oporto, PortugalUniv Aveiro, CESAM Dept Phys, Campus Univ Santiago, P-3810193 Aveiro, Portugal