近年来,我国风能资源开发增长迅速,甘肃省风能资源储量在全国名列前茅。为降低风电企业投资的风险,需要对当地多年的风速状况进行评估。文中选用甘肃省79个台站1976年至2010年35年的风速资料,30个台站的历史沿革资料,采用T检验法、SNHT(...近年来,我国风能资源开发增长迅速,甘肃省风能资源储量在全国名列前茅。为降低风电企业投资的风险,需要对当地多年的风速状况进行评估。文中选用甘肃省79个台站1976年至2010年35年的风速资料,30个台站的历史沿革资料,采用T检验法、SNHT(Standard Normal Homogeneity Test)方法及经验正交分解方法(EOF)对甘肃省风速资料进行分析。T检验表明,甘肃省79个站35年的风速资料有3.98%的存在非均一性;资料分析结果表明,甘肃各地风速除陇中及定西部分地区略有上升外,大部分地区风速呈下降趋势,包括风能资源丰富的地区,且下降趋势较明显,其中河西祁连山区风速下降在0.13m/s.10a～0.26m/s.10a之间,河西东部地形平坦区域风速下降在0.13m/s.10a以下;陇南及陇东大部分地区风速下降在0.13m/s.10a以下。甘肃台站风速每十年变化量与本站1976～2010年平均风速比较结果显示:除陇中及定西部分地区风速略有上升,每十年上升在5%～10%之间外,河西祁连山区风速每十年下降在5%～15%之间,河西东部地形平坦区域风速每十年下降在5%以下;陇南及陇东大部分地区风速每十年下降在5%～10%之间。这是今后风电场投资必须要考虑与防范的风险因素之一。展开更多
Based on the meteorological data and production data of maize of 10 stations in Northeast China from 1961 to 2006,the primary climatic factors influencing maize yield in different region were studies by the method of ...Based on the meteorological data and production data of maize of 10 stations in Northeast China from 1961 to 2006,the primary climatic factors influencing maize yield in different region were studies by the method of Baier yields models.The result showed that the yield of maize in Heilongjiang and Jilin Province were mainly affected by temperatures,with air temperature increased,the meteorological yield of maize increased.The meteorological yield of maize in Liaoning Province was mainly affected by precipitation and sunshine duration,and different regions had different effects.展开更多
文摘近年来,我国风能资源开发增长迅速,甘肃省风能资源储量在全国名列前茅。为降低风电企业投资的风险,需要对当地多年的风速状况进行评估。文中选用甘肃省79个台站1976年至2010年35年的风速资料,30个台站的历史沿革资料,采用T检验法、SNHT(Standard Normal Homogeneity Test)方法及经验正交分解方法(EOF)对甘肃省风速资料进行分析。T检验表明,甘肃省79个站35年的风速资料有3.98%的存在非均一性;资料分析结果表明,甘肃各地风速除陇中及定西部分地区略有上升外,大部分地区风速呈下降趋势,包括风能资源丰富的地区,且下降趋势较明显,其中河西祁连山区风速下降在0.13m/s.10a～0.26m/s.10a之间,河西东部地形平坦区域风速下降在0.13m/s.10a以下;陇南及陇东大部分地区风速下降在0.13m/s.10a以下。甘肃台站风速每十年变化量与本站1976～2010年平均风速比较结果显示:除陇中及定西部分地区风速略有上升,每十年上升在5%～10%之间外,河西祁连山区风速每十年下降在5%～15%之间,河西东部地形平坦区域风速每十年下降在5%以下;陇南及陇东大部分地区风速每十年下降在5%～10%之间。这是今后风电场投资必须要考虑与防范的风险因素之一。
基金Supported by National Science and Technology R&D Program(2006BAD04B02)~~
文摘Based on the meteorological data and production data of maize of 10 stations in Northeast China from 1961 to 2006,the primary climatic factors influencing maize yield in different region were studies by the method of Baier yields models.The result showed that the yield of maize in Heilongjiang and Jilin Province were mainly affected by temperatures,with air temperature increased,the meteorological yield of maize increased.The meteorological yield of maize in Liaoning Province was mainly affected by precipitation and sunshine duration,and different regions had different effects.
