用研究灾变规律的关键时方法分析了El Nio、La Nia事件和太阳活动对河南省东亚飞蝗 (Locus ta migratoria manilensis Meyen) 的影响。结果发现, El No和La Nia事件不会促使河南省沿黄地区东亚飞蝗的大发生, 并得出El Ni no和L...用研究灾变规律的关键时方法分析了El Nio、La Nia事件和太阳活动对河南省东亚飞蝗 (Locus ta migratoria manilensis Meyen) 的影响。结果发现, El No和La Nia事件不会促使河南省沿黄地区东亚飞蝗的大发生, 并得出El Ni no和La Ni na事件对飞蝗大发生的影响主要通过影响其发生地的天气、气候 (主要是降水), 从而影响飞蝗的大发生。在太阳黑子相对数高年的后一年, 河南省东亚飞蝗大发生的可能性超过90%。展开更多
Methods and approaches are discussed that identify and filter off affecting factors (noise) above primary signals,based on the Adaptive-Nework-Based Fuzzy Inference System. Influences of the zonal winds in equatorial ...Methods and approaches are discussed that identify and filter off affecting factors (noise) above primary signals,based on the Adaptive-Nework-Based Fuzzy Inference System. Influences of the zonal winds in equatorial eastern and middle/western Pacific on the SSTA in the equatorial region and their contribution to the latter are diagnosed and verified with observations of a number of significant El Nio and La Nia episodes. New viewpoints are propsed. The methods of wavelet decomposition and reconstruction are used to build a predictive model based on independent domains of frequency,which shows some advantages in composite prediction and prediction validity.The methods presented above are of non-linearity, error-allowing and auto-adaptive/learning, in addition to rapid and easy access,illustrative and quantitative presentation,and analyzed results that agree generally with facts. They are useful in diagnosing and predicting the El Nio and La Nia problems that are just roughly described in dynamics.展开更多
文摘用研究灾变规律的关键时方法分析了El Nio、La Nia事件和太阳活动对河南省东亚飞蝗 (Locus ta migratoria manilensis Meyen) 的影响。结果发现, El No和La Nia事件不会促使河南省沿黄地区东亚飞蝗的大发生, 并得出El Ni no和La Ni na事件对飞蝗大发生的影响主要通过影响其发生地的天气、气候 (主要是降水), 从而影响飞蝗的大发生。在太阳黑子相对数高年的后一年, 河南省东亚飞蝗大发生的可能性超过90%。
文摘Methods and approaches are discussed that identify and filter off affecting factors (noise) above primary signals,based on the Adaptive-Nework-Based Fuzzy Inference System. Influences of the zonal winds in equatorial eastern and middle/western Pacific on the SSTA in the equatorial region and their contribution to the latter are diagnosed and verified with observations of a number of significant El Nio and La Nia episodes. New viewpoints are propsed. The methods of wavelet decomposition and reconstruction are used to build a predictive model based on independent domains of frequency,which shows some advantages in composite prediction and prediction validity.The methods presented above are of non-linearity, error-allowing and auto-adaptive/learning, in addition to rapid and easy access,illustrative and quantitative presentation,and analyzed results that agree generally with facts. They are useful in diagnosing and predicting the El Nio and La Nia problems that are just roughly described in dynamics.
