黄河三角洲北部风电场对水体蒸散发的影响
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摘要
以黄河三角洲北部风电场为例,利用SEBAL模型,采用Landsat5-TM和Landsat8-OLI/TIRS数据、气象数据、DEM数据以及MODIS数据反演出风电场建设前后水体的蒸散发(ET),分析单个风机和风电场对水体ET的影响,最终得出如下结论:(1)在单个风机中,风力发电机的建设对以风机为中心的200 m缓冲区内水体ET有均匀化作用,并且对缓冲区内的各风向水体ET均匀化程度不同,下风向区域水体ET的均匀化程度最大,旁风向区域水体ET的均匀化程度最小。(2)在整个风电场区域内,风机数量影响风电场对水体ET的均匀化程度,且风机密度与均匀化程度呈负相关,风机越密集均匀化程度越小、越稀疏、均匀化程度越大。
Taking wind farm at the north of Yellow River Delta for example, based on the Landsat5-TM and Landsat8-OLI/TIRs data, meteorological data, DEM data and MODIS data, we used SEBAL model to invert the water evapotranspiration(ET) before the construction of wind farm, and analyzed the influence of single wind turbine and wind farm on the water ET. The following conclusions show that(1)in a single wind turbine, the construction of the wind turbine has homogenization effect on the water ET within the 200 m of buffer with the wind turbine as the center, and the effects are different. The water ET homogenization down the wind is the biggest, and the homogenization degree is the smallest at the side wind direction.(2)In the whole wind farm area, the number of wind turbines affect the homogenization degree of water ET, and the wind turbines density is negatively correlated with the degree of homogenization. The denser the wind turbines, the homogenization degree of the wind turbines are smaller, vice versa.
Taking wind farm at the north of Yellow River Delta for example, based on the Landsat5-TM and Landsat8-OLI/TIRs data, meteorological data, DEM data and MODIS data, we used SEBAL model to invert the water evapotranspiration(ET) before the construction of wind farm, and analyzed the influence of single wind turbine and wind farm on the water ET. The following conclusions show that(1)in a single wind turbine, the construction of the wind turbine has homogenization effect on the water ET within the 200 m of buffer with the wind turbine as the center, and the effects are different. The water ET homogenization down the wind is the biggest, and the homogenization degree is the smallest at the side wind direction.(2)In the whole wind farm area, the number of wind turbines affect the homogenization degree of water ET, and the wind turbines density is negatively correlated with the degree of homogenization. The denser the wind turbines, the homogenization degree of the wind turbines are smaller, vice versa.
引文
[1]兰忠成.中国风能资源的地理分布及风电开发利用初步评价[D].兰州:兰州大学, 2015
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[13]曾丽红,宋开山,张柏,等.应用Landsat数据和SEBAL模型反演区域蒸散发及其参数估算[J].遥感技术与应用,2008,23(3):255-263
[14]王颖,刘连刚,郑桂森,等.北京野鸭湖湿地区域蒸散发遥感反演研究[J].测绘科学, 2014,39(1):45-47
[15]韩松俊,刘群昌,杨书君.黑河流域上中下游潜在蒸散发变化及其影响因素的差异[J].武汉大学学报, 2009,42(6):734-737
[16]赵宗慈,罗勇,江滢.风电场对气候变化影响研究进展[J].气候变化研究进展, 2011,7(6):400-406
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[18]Wang C, Prinn R G. Potential Climatic Impacts and Reliability of Large-scale Offshore Wind Farms[J]. Environmental Research Letters, 2011,6(2):291-294
[19]李国庆,刘志峰,常学礼,等.风电场对草地蒸散发影响分析[J].生态科学, 2016,35(6):146-151
[20]Christiansen M B, Charlotte B. Hasager.Wake Effects of Large Offshore Wind Farms Identi?ed from Satellite SAR[J]. Remote Sensing of Environment, 2005(98):251-268
[2]魏庆勇,刘巧梅,刘来胜.风电场开发的环境效益及环境影响[J].环境与可持续发展, 2009, 34(1):11-13
[3]李智兰.风电场建设对周边扰动区域土壤养分和植被的影响[J].水土保持研究, 2015, 22(4):61-66
[4]李国庆,李晓兵.风电场对环境的影响研究进展[J].地理科学进展, 2016, 35(8):1 017-1 026
[5]Wang C, Prinn R G. Potential Climatic Impacts and Rreliability of Very Large-scale Wind Farms.[J]. Atmospheric Chemistry&Physics Discussions, 2009, 9(5):2 053-2 061
[6]Zhou L, Tian Y, Roy S B, et al. Impacts of Wind Farms on Land Surface Temperature[J]. Nature Climate Change, 2012, 2(7):539-543
[7]Li S, Song C. Evapotranspiration from a Freshwater Marsh in the Sanjiang Plain, Northeast China[J]. Journal ofHydrology,2008, 352(1-2):202-210
[8]吴远龙.基于改进的SEBS模型黄河三角洲蒸散发遥感反演及其时空变化研究[D].北京:中国石油大学, 2010
[9]王永丽,于君宝,董洪芳,等.黄河三角洲滨海湿地的景观格局空间演变分析[J].地理科学, 2012,32(6):717-724
[10]朱碧泓,杨永辉,张哲,等.华能东营河口风电场一期工程[R].上海勘测设计研究院, 2008.07
[11]东营大众网.广饶国华风电场通过山东电力集团公司并网验收.[EB/OL].[2017-05-20]. http://dongying.dzwww.com/xsq/grx/gryaownes/201112/t20111229_6843127.htm.
[12]周玲,张丽,许君一,等.基于SEBAL模型的漓江流域蒸散量变化分析[J].水土保持研究, 2015, 22(4):332-337
[13]曾丽红,宋开山,张柏,等.应用Landsat数据和SEBAL模型反演区域蒸散发及其参数估算[J].遥感技术与应用,2008,23(3):255-263
[14]王颖,刘连刚,郑桂森,等.北京野鸭湖湿地区域蒸散发遥感反演研究[J].测绘科学, 2014,39(1):45-47
[15]韩松俊,刘群昌,杨书君.黑河流域上中下游潜在蒸散发变化及其影响因素的差异[J].武汉大学学报, 2009,42(6):734-737
[16]赵宗慈,罗勇,江滢.风电场对气候变化影响研究进展[J].气候变化研究进展, 2011,7(6):400-406
[17]徐荣会.干旱区风电场对局地微气象环境的影响研究[D].呼和浩特:内蒙古农业大学, 2014
[18]Wang C, Prinn R G. Potential Climatic Impacts and Reliability of Large-scale Offshore Wind Farms[J]. Environmental Research Letters, 2011,6(2):291-294
[19]李国庆,刘志峰,常学礼,等.风电场对草地蒸散发影响分析[J].生态科学, 2016,35(6):146-151
[20]Christiansen M B, Charlotte B. Hasager.Wake Effects of Large Offshore Wind Farms Identi?ed from Satellite SAR[J]. Remote Sensing of Environment, 2005(98):251-268