空间信息技术支持下的沿海风能资源评价
Wind Energy Resources Assessment in the Coastal Zones Based on Spatial Information Techniques
查看参考文献20篇
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文摘
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沿海地区是我国重要的风能资源区,由于近地面风场具有很强的时空变异性,给风能资源定量评价带来了很大困难.空间信息技术的发展为我们提供了新的视角和手段,近年来,利用星载合成孔径雷达(SAR)进行沿海风场信息遥感反演已从试验逐步走向成熟,它以布拉格原理为依据,建立合成孔径雷达后向散射系数与海面风场之间的关系,反演风速、风向等关键参数,并进而对研究区风能资源进行准确的定量评价.本文回顾了本领域国内外研究进展,重点阐述了风场要素反演的基本方法和校验手段,探讨了目前存在的一些问题和改进方法,并对本方法在我国的应用前景作了展望. |
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其他语种文摘
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Coastal zones play a very important role in wind energy resources exploration in China. Offshore wind is an attractive energy source due to the potential of very high wind power as a result of relatively low sea surface roughness. The great variation of wind field near the ground baffles wind energy resources assessment. Synthetic aperture radar (SAR) images from remote sensing satellites have been achieved over the oceans on a continuous basis. Their unique characters, including independence on daylight, uninfluenced from clouds, high spatial resolution and large spatial coverage, make them a very useful tool for acquiring main parame-ters of wind fields in ocean areas. Main data sources are ERS-1 and ERS-2 satellites of Europe, the RADARSAT-1 satellite of Canada, and the latest European satellite ENVISAT. fSAR-derived sea wind maps may be estimated from empirical scatter meter algorithms that fare valid for open sea conditions. With recent development of spatial information techniques, jmethodology and algorithm for retrieving wind vectors from SAR onboard satellite become ma- Iture. The physical principle is that capillary waves and short gravity waves at the sea surface \created by the instantaneous wind field backscatters electromagnetic radiation in the C-band as jemitted and received by the SAR instrument. Relationship between backscatter coefficient and Isea surface wind field was established based on Bragg mechanism, and key factors such as winddirection and speed were derived. Empirical algorithms, the so -called scatterometer modelsCMOD-4 and CMOD-IFR, relate the backscattered signal to wind speed.The paper gave a brief review in this area. Means for wind field retrieval and validation were >ipresented in detail. Problems and application prospect in China were also discussed. |
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来源
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地理科学进展
,2004,23(6):41-48 【核心库】
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关键词
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空间信息技术
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风能
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资源
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评价
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地址
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1.
中国科学院地理科学与资源研究所, 北京, 100101
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中国水利水电科学研究院水资源研究所, 北京, 100044
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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大气科学(气象学);环境质量评价与环境监测 |
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基金
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国家973计划
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文献收藏号
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CSCD:1800343
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参考文献 共
20
共1页
|
|
1.
Johannessen O M. Wind energy mapping of coastal zones by synthetic aperture radar (SAR) for siting potential windmill locations.
International Journal of Remote Sensing,2000,21(9):1781-1786
|
CSCD被引
1
次
|
|
|
|
|
2.
Hasager C B. On offshore wind energy mapping using satellite SAR.
Canadian Journal of Remote Sensing,2002,28(1):80-89
|
CSCD被引
2
次
|
|
|
|
|
3.
Kim D. Estimation of sea surface wind vector using RADARSAT data.
Remote Sensing of Environment,2002,80:55-64
|
CSCD被引
1
次
|
|
|
|
|
4.
张永红. 合成孔径雷达成像处理的数学原理.
遥感信息,2000,4:13-15
|
CSCD被引
2
次
|
|
|
|
|
5.
董庆. 多波段多极化合成孔径雷达的海洋学应用.
多波段多极化合成孔径雷达的海洋学应用,2001,1:67-72
|
CSCD被引
1
次
|
|
|
|
|
6.
Scoon A. Demonstration of an improved calibration scheme for ERS-1 SAR imagery using a scatterometer wind model.
地球科学进展,1996,17(2):413-418
|
CSCD被引
1
次
|
|
|
|
|
7.
Frank H. Modelling the wind climate of Ireland.
Boundary-Layer Meteorology,1997,85:359-378
|
CSCD被引
1
次
|
|
|
|
|
8.
Stoffelen A. 'ERS-1 Scatterometer Data and Characteristics and Wind Retrieval Skills' Proceeding of first ERS-1 Symposium.
'ERS-1 Scatterometer Data and Characteristics and Wind Retrieval Skills' Proceeding of first ERS-1 Symposium, ESA SP-359,1993
|
CSCD被引
1
次
|
|
|
|
|
9.
Thompson D R. Polarization ratio for microwave backscattering from the ocean surface at lowto moderate incidence angles.
Proceedings of 1998 International Geoscience and Remote Sensing Symposium,1998:1671-1673
|
CSCD被引
1
次
|
|
|
|
|
10.
Gerling T W. Structure of the surface wind field from SEASAT SAR.
Journal of Geophysical Research,1986,91:2308-2320
|
CSCD被引
20
次
|
|
|
|
|
11.
Du Y. Wind direction estimation from SAR images of the ocean using wavelet analysis.
Can. J. Remote Sens,2002:28,498-509
|
CSCD被引
1
次
|
|
|
|
|
12.
Fichaux N. a new approach using wavelet transform.
Canada Journal of Remote Sensing,2002,28:510-516
|
CSCD被引
7
次
|
|
|
|
|
13.
Vachon P. Validation of wind vector retrieval from ERS-1 SAR images over the ocean.
Global Atmosphere and Ocean System,1996,5:177-187
|
CSCD被引
1
次
|
|
|
|
|
14.
杨劲松. 合成孔径雷达图像的近岸海面风场反演.
遥感学报,2001,5(1):13-16
|
CSCD被引
28
次
|
|
|
|
|
15.
宫靖远.
风电场工程技术手册,2004
|
CSCD被引
20
次
|
|
|
|
|
16.
Stoffelen A. Wind retrieval and ERS scatterometer radar backscatter measurements.
Advance in Space Research,1993,13:53-60
|
CSCD被引
1
次
|
|
|
|
|
17.
Lehner S. Rosenthal.
Journal of Geophysical Research,1998,103:7847-7856
|
CSCD被引
12
次
|
|
|
|
|
18.
Horstmann J. Tonboe.
IEEE Transection of Geoscience and Remote Sensing,2000,38:2122-2131
|
CSCD被引
23
次
|
|
|
|
|
19.
K S Chem. Retrieval Of Ocean Winds Form Ers-1/2 Scatterometer And Sar Data Using Natural Network.
Proceedings of the 18th Asian Conference on Remote Sensing,1997
|
CSCD被引
1
次
|
|
|
|
|
20.
Horstmann J. Computation of Wind Vectors Over the Ocean Using Spaceborne Syntheric Aperture Radar.
John Hopkins APL Technical Digest,2000:21,100-107
|
CSCD被引
1
次
|
|
|
|
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