Spatio-Temporal Variability of Wind Energy in the Caspian Sea: An Ecosystem Service Modeling Approach

被引:2
|
作者
Rahimi, Milad [1 ]
Gholamalifard, Mehdi [1 ]
Rashidi, Akbar [2 ]
Ahmadi, Bonyad [1 ]
Kostianoy, Andrey G. [3 ,4 ]
Semenov, Aleksander V. [4 ]
机构
[1] Tarbiat Modares Univ TMU, Fac Nat Resources & Marine Sci FNRMS, Dept Environm, Noor 46414356, Mazandaran, Iran
[2] Tarbiat Modares Univ TMU, Fac Nat Resources & Marine Sci FNRMS, Dept Marine Phys, Noor 46414356, Mazandaran, Iran
[3] Russian Acad Sci, PP Shirshov Inst Oceanol, Nakhimovsky Pr 36, Moscow 117997, Russia
[4] S Yu Witte Moscow Univ, Lab Integrated Res Water Resources, Second Kozhukhovsky Pr 12,Build 1, Moscow 115432, Russia
关键词
offshore wind energy; QuikSCAT; RapidSCAT; Caspian Sea; ecosystem services; REANALYSIS DATA; WEIBULL; QUIKSCAT; SPEED; FIELD; ERA5;
D O I
10.3390/rs14246263
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The ecosystem services that can be obtained from the oceans and seas are very diverse; one of the sources of energy is wind power. The Caspian Sea is characterized by a fragile ecosystem that is under serious anthropogenic stress, including oil and gas production and transportation. In particular, rich oil and gas resources in the region make renewables less important for the Caspian Sea Region. Depletion of hydrocarbon resources, a rise of their price on the international markets, geopolitical tensions, a decrease in the Caspian Sea level, regional climate change, and other factors make exploring offshore wind energy production timely. In order to model the offshore wind energy of the Caspian Sea, data from the ERA-Interim atmospheric reanalysis were used from 1980 to 2015 combined with QuikSCAT and RapidSCAT remote sensing data. The modeling results showed a wind power density of 173 W/m(2) as an average value for the Caspian Sea. For the 1980-2015 period, 57% of the Caspian Sea area shows a decreasing trend in wind power density, with a total insignificant drop of 16.85 W/m(2). The highest negative rate of change is observed in the Northern Caspian, which seems to be more influenced by regional climate change. The Caspian Sea regions with the highest potential for offshore wind energy production are identified and discussed.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Assessment of Spatio-Temporal Changes for Ecosystem Health: A Case Study of Hexi Corridor, Northwest China
    Wei Wei
    Shengxiang Nan
    Chunfang Liu
    Binbin Xie
    Junju Zhou
    Congying Liu
    Environmental Management, 2022, 70 : 146 - 163
  • [42] Spatio-temporal variations of ecosystem services in the urban agglomerations in the middle reaches of the Yangtze River, China
    Dai, Xin
    Wang, Lunche
    Huang, Chunbo
    Fang, Lulu
    Wang, Shaoqiang
    Wang, Lizhe
    ECOLOGICAL INDICATORS, 2020, 115
  • [43] Spatio-Temporal Change of Multiple Ecosystem Services and Their Driving Factors: A Case Study in Beijing, China
    Liu, Huayan
    Xiao, Wenfa
    Li, Qi
    Tian, Yu
    Zhu, Jianhua
    FORESTS, 2022, 13 (02):
  • [44] Spatio-temporal assessment of urbanization impacts on ecosystem services: Case study of Nanjing City, China
    Li, Baojie
    Chen, Dongxiang
    Wu, Shaohua
    Zhou, Shenglu
    Wang, Teng
    Chen, Hao
    ECOLOGICAL INDICATORS, 2016, 71 : 416 - 427
  • [45] Assessment of Spatio-Temporal Changes for Ecosystem Health: A Case Study of Hexi Corridor, Northwest China
    Wei, Wei
    Nan, Shengxiang
    Liu, Chunfang
    Xie, Binbin
    Zhou, Junju
    Liu, Congying
    ENVIRONMENTAL MANAGEMENT, 2022, 70 (01) : 146 - 163
  • [46] Spatio-temporal variation of ecosystem services and the response to urbanization: Evidence based on Shandong province of China
    Ren, Qiran
    Liu, Dandan
    Liu, Yanfang
    ECOLOGICAL INDICATORS, 2023, 151
  • [47] Spatio-temporal independent applicability of one time trained machine learning wind forecast models: a promising case study from the wind energy perspective
    Valsaraj, P.
    Thumba, Drisya Alex
    Kumar, K. Satheesh
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2022, 41 (09) : 1164 - 1182
  • [48] Spatio-temporal fluctuations of interscale and interspace energy transfer dynamics in homogeneous turbulence
    Larssen, H. S.
    Vassilicos, J. C.
    JOURNAL OF FLUID MECHANICS, 2023, 969
  • [49] Spatial and Temporal Variability of Natural Oil Slick Trajectories on the Sea Surface of the South Caspian Sea Revealed by Satellite Data
    Mityagina, M. I.
    Lavrova, O. Yu.
    COSMIC RESEARCH, 2024, 62 (SUPPL1) : S47 - S57
  • [50] AIRU-WRF: A physics-guided spatio-temporal wind forecasting model and its application to the US Mid Atlantic offshore wind energy areas
    Ye, Feng
    Brodie, Joseph
    Miles, Travis
    Ezzat, Ahmed Aziz
    RENEWABLE ENERGY, 2024, 223