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基于混沌吸引子的复杂农业系统预测模型研究 总被引:1,自引:0,他引:1
农业生产是自然再生产和经济再生产有机结合的过程,农业系统是高度耦合了自然生态、社会经济系统等的复杂大系统,具有非线性和耗散性特征。复杂农业系统要素非线性作用所表现的系统行为形成农业系统的整个演化轨迹。从长期演化来看,由于系统内部自组织作用、系统协同和外部随机扰动的作用使得农业系统出现混沌现象,故复杂系统具有长期不可预测性。本文根据复杂农业系统的预测规范,重构复杂农业系统相空间,建立了基于“混沌吸引子”的非线性混沌动力学预测模型,并以成都的相关数据进行分析验证。 相似文献
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DING Guoan CHAN Chuenyu GAO Zhiqiu YAO Wenqing LI Yoksheung CHENG Xinghong MENG Zhaoyang YU Haiqing WONG Kamhang WANG Shufeng MIAO Qiuju 《中国科学D辑(英文版)》2005,48(Z2)
The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower. 相似文献
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应用模糊综合评判的方法,建立了钦州市甘蔗产量年景与前期关系较密切的5个大气环流因子在不同的预的备选因素,然后,根据不同年份的及因子权重A~报等级下各个因子区间的隶属度矩阵,以此作为模糊变换矩阵R~,应用模糊数学的运算法则,得到甘蔗产量年景的预测结果。和A~因子值来构造R~ 相似文献
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分析了1997—2006年辽宁境内能见度小于1000 m雾的时空分布特征。结果表明:就雾发生的频率而言,辽宁存在两个高值区和两个低值区,高值区分别位于黄海北部沿岸至辽宁东部山区和锦州北部至阜新一带,低值区分别位于辽宁中北部平原以及朝阳地区。从雾的日变化上看,近86%的雾出现在夜间,近69%的雾出现在02-08时,且多为辐射雾。地域不同但气候条件相近时,雾的日变化与雾发生的次数存在极其相似的特点。依据相似的地理环境和气候条件、雾的日变化特征以及雾发生次数等,将辽宁划分为5个预报区,对雾采取分区预报,以提高雾预报的准确率。 相似文献
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对照常规天气图实况资料,检验几种常用NWP产品对2008年7月5日山东一次强降水过程的形势场预报和降水预报,并对其物理量场进行诊断分析.结果表明,暴雨落区与诸多物理量场的配置紧密相关;暴雨区出现在低层水汽辐合中心移动路径上,位于与水汽通量散度强辐合中心和强上升运动中心接近处;暴雨区移动方向与水汽通量大值中心、△θse(500-850)负值中心长轴方向一致,水汽通量散度低层辐合、高层辐散两者均满足时有利于强降水发生;200 hPa高空辐散的抽吸作用远比仅有低层辐合更有利于上升运动发展;地面强降水区出现在200 hPa强辐散中心所在处. 相似文献
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干旱监测预警指数研究 总被引:6,自引:5,他引:6
提出以降水的应时性、有效性、土层水的后效作用,以及大气温湿状况为依据,建立干旱指标的问题,给出了评价短期气候干旱状况的干旱实时监测和预警指数。同时对如何科学地度量干旱灾害程度也进行探讨。 相似文献
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MASNUM海浪数值模式业务化预报与检验 总被引:2,自引:2,他引:0
介绍了MASNUM(Key Laboratory of Marine Science and Numerical Modeling)海浪数值预报系统,并利用全球和西北太平洋的Jason-1卫星数据和NDBC浮标数据中的海浪波高观测,对该预报系统进行了自2007年8月1日-2007年12月31日5个月的24,48和72 h预报结果的比较检验.模式校验结果表明,有效波高预报与观测的绝均差在0.5 m左右,从夏季到冬季,预报精度不断提高,与风场冬季预报精度较高吻合. 相似文献