气象因子

桑树春芽发育与气象因子的关系研究

Study on Relationship Between Development of the Mulberry Budding in Spring and Climate Factors

在混沌相空间重构局域法的基础上提出了几种新的预测方法，并将气象因子引入到了混沌预测中。本文在研究过程中得到了以下一些初步的结果。

Then new load forecasting methods are developed based on the chaotic phase space reconstruction , in which climate factors are considered .

基于气象因子的BP神经网络风电场风速预测

The forecasting of wind speed in wind farm based on the meteorological factors with BP neural network

利用8个气象因子建立了子囊盘数量的逐步回归模拟方程和BP神经网络系统模型，模型的拟合效果好，对2003年子囊盘数量的预测也较为准确。

The 8 factors stepwise regression equation and BP Artificial Neural Network ( ANN ) model of the disease were established .

利用因子分析方法，将影响能见度的诸多因子归纳总结为6类公因子，即：（1）公因子F1，代表常规气象因子；

The factors which impact visibility are induced into 6 species by factor analysis : F1-general meteorological factor ;

陕北黄土丘陵沟壑区NDVI与气象因子的相关性分析

The Correlations Between Climatic Factors and NDVI in Hilly and Gully Area of Loess Plateau in Northern Shaanxi

城市空气质量的EOF展开及其与气象因子的CCA分析&以南京市为例

EOF Expanding to City Air Quality and CCA Analysis between Air Quality and Meteorological Factors in Nanjing

根据不同的日期类型，对普通工作日和双休日采用优化BP神经网络建模，并分别采用气象因子直接输入、温湿度输入两种方法进行对比分析。

For workday and weekend , optimization BP neural network model is used according to day type . Both meteorological factors direct input and temperature humidity input are adopted for comparative analysis .

利用1980～1998年在山东青州调查的数据资料，结合相关气象因子及烟草蚜传病毒病的病情指数，采用BP神经网络方法建立了烟草蚜传病毒病的预测模型。

Based on data of meteorological factors and tobacco virus diseases transmitted by aphids from 1980 to 1998 in Qingzhou of Shandong province prediction models were established by means of BP neural network .

黄脊竹蝗Ceracriskiangsu发生与气象因子的相关性研究

Study on the relationship between yellow back bamboo locusts Ceracris Kiangsu occurred and meteorological factors

将1978&1986年的上述气象因子用Bayes判别分析法建立判别方程，为预测桑疫病流行打下了基础。

The above meteorological factors during 1978-1986 were used to build a distinguish equation by means of the Bayes distinguish analysis , which could be adopted in the forecast of the mulberry blight epidemic .

为准确掌握松毛虫种群基数，做好预测预报，作者应用距平符号法，利用前4a气象因子与松毛虫发生量的关系，进行了松毛虫动态预测，准确率100%。

So anomalous sign was used in the forecast of pine caterpillars ' dynamics with the weather data in the last 4 years . The accuracy was 100 % .

主要探讨了NPP过程模型的主要因子（植被覆盖分类、植物生长状况信息、土壤水分信息和气象因子）的遥感获取方法。

The remote sensing acquirement method of the main factors of NPP process model ( vegetation cover classification , vegetation growth state , soil moisture and meteorological factors ) are discussed .

本文以计算得到的作物需水量为目标输出，气象因子为网络输入，建立了作物需水量预测的BP网络模型。

And then , actual crop water requirements can be reckoned . This study uses actual crop water requirements which have already been calculated as target outputs , weather factors as inputs , to establish the BP neural network model of crop water requirements forecast .

对南宁市2003年的空气污染指数（API）与天气因素（天气类型、气象因子）的相关性进行了详细分析。结果表明，高压脊在冬春季对API影响较大；

The relation of API ( Atmosphere pollution index ) and weather factors ( weather type , weather genes ) in 2003 of Nanning city was analyzed , the results show that in winter and spring the high pressure ridge affect API greatly ;

DEM数据在模型估算中提供了精细化的各项地形因子，GIS软件为地形因子和气象因子的栅格化耦合解算提供了高效的工作平台，并为模拟结果的可视化制图提供了有力的工具。

In the model , DEM data provided the intensification terrain factors . GIS software provided an efficient work platform for the grid coupling of terrain factors and meteorological factors . It also provided a powerful tool for the visual mapping of simulated results .

本文以MODIS传感器的卫星遥感数据为基础，分析从MODIS数据产品获取的气象因子和降雨的关系，建立针对流域的分布式的降雨量估算模型。

This thesis set up a regional scale estimation model of precipitation , and analyzed the relation between the data of MODIS with rainfall , based on the data of satellite , obtained with the MODIS sensor .

选择纬度、经度以及16个与水热状况有关的气象因子进行R型主成分分析，用前5个主成分坐标值进行模糊ISODATA聚类分析，将研究区划分为3类；

According to the methods of type-R principal component analysis and fuzzy ISODATA cluster analysis , the studied area was divided into 3 climatic types based on 2 items of geographical data and 16 items of meteorological data collected from 171 counties .

利用逐步回归法建立了基于气象因子的白粉菌分生孢子浓度预测模型，并用时间序列分析方法建立了预测分生孢子浓度的ARIMA（1,1,0）模型，2种模型都达到了极显著水平。

Prediction models of Bgt conidial concentrations in the air based on meteorological factors were constructed using multiple regression analysis and time series analysis . Regression coefficients of linear model and ARIMA ( 1,1,0 ) model both reached significant levels .

结果表明，NB和ZINB模型对数据拟合较好，模型内各气象因子显著性水平较高，对雷击火发生次数均具有较好的预测能力。

Comparison of the two models according to AIC , Vuong and other methods showed that the fitting ability and predictive power of ZINB model are better than those of the NB model .

为掌握石林景区主要乡土植物物候节律，选择25科35种乡土植物，对其物候特征与同期主要气象因子进行了2a平行观测。

The phenology of 35 indigenous plants of 25 families and the relationship between the penological rhythms of the plants and climatic factors in the corresponding period were studied for two years ( 2003 ~ 2004 ) at the Stone Forest Scenic Spot in Yunnan .

并将Penman公式和生物因子相结合，提出了干旱预报方程，用气象因子和作物因子预报土壤非胁迫水分贮存量，并可应用于区域性干旱分析。

The Penman equation is coordinated with biological factors in presenting equation for forecasting droughts . Non-stressed moisture stored in soil is predicted by using both meteorological factors and factors related to the crops , which may also be applied to analysis of regional droughts .

SPAC各部分水势变化的起伏顺序是大气植物土壤，说明水势变化受植物水分代谢进程直至气象因子的强烈影响和控制。

Sequence of variation intensity for water potential in each part of the SPAC was atmosphere , plant and soil . It is shown that the water potential was influenced and controlled strongly by the process of plant water metabolism and up to meteorological factors .

以主迁入峰日虫l和主峰期虫量、主峰期格局特征为重要因子。迁入期的相对湿度，降水量、温雨系数等气象因子与主害代田间种群数量关系密切。

The quantity at principal moving peak , total amount and pattern characteristic during the peak period were great factors , and climate elements such as relative humidity , rainfall and temperature - rain coefficient had a close relation to population quantity of main generation in field .

以浙江长兴县1962～1978年17a的银杏年产果量和各年度的33个气象因子进行逐步回归分析，结果表明有5个气象因子对产量的影响最为显著。

A stepwise regression analysis was made using the maidenhair tree annual seed yield of 17 years ( 1962 ~ 1978 ) in Changxing County as dependent variable ( y ) and 33 climatic factors of these years as independent variable ( x ) .

影响新台糖1号甘蔗茎重增长的关键气象因子

Key Meteorological Factors That Affect Sugarcane Stem Weight Increase of ROC_1

北京春季的树木物候与气象因子的统计学分析

Statistic analysis on the Phenophase of trees in spring of Beijing

杏雌蕊败育与主要气象因子的关系分析

Study on the correlation between apricot pistil abortion and meteorological factors

杭州湾海涂造林后气象因子动态变化

Dynamics of Weather Factors of Seabeach after Forestation in Hangzhou Bay

苹果优质生产的最适气象因子和气候区划

Optimum meteorological factors and climate divisions of apple for good quality