研究森林变化对河川水沙影响的一种便捷方法──以四川省都江堰市白沙河为例

依据航片判读、森林资源调查资料和水文数据，利用流域自身对比法，得出森林变化对河川径流泥沙的定量关系。文中还阐明本方法的技术关键——消除降雨量不同对水沙的影响．该方法具有适合我国国情、费小效宏、精度较高、简捷易行等优点，值得推广提倡。     

Application of Incremental Genetic RBF NN in Converter Vanadium Recover

Converter vanadium recover is a very sophisticate reaction which is diverse and non- line. From the point of view of statistics and reaction mechanism, it is difficult to build up end- point control static model. Aim at this problem, the paper puts forward a model identify method based on incremental genetic RBF neural network to build up such a model, which can perfectly resolve the problem of random selection of RBF cluster center number and sample data clustering. Furthermore, in order to ensure structure of neural network to fit with continuous incremental data set, the paper presents a method of incremental data dealing, which is applied to amend the parameters of neural network. Then the request of continuous production is satisfied. Finally the result of test shows that after adopting the algorithm, the error of result is less than before and end- point hitting ratio satisfies to ninety percent. These indicate the algorithm has the engineering practicability.     

浅谈建立郑州市道路路面养护管理系统

路面管理系统是通过对路面运行状况、使用性能、使用周期、进行对比、分析，预测路面管理的最佳养护预算投资并在最佳养护经济投资条件等各种因素限制下，寻求道路养护管理最佳战略决策。     

数字滤波技术在汽车碰撞试验中的应用研究

为了使开发的汽车碰撞试验系统的数据处理结果满足CMVDR 294法规要求，研究了汽车碰撞试验数据处理过程中的关键技术．根据汽车碰撞试验的具体要求改进了数字滤波器的设计过程，并应用Matlab进行了不同频率的幅频特性仿真分析，提出了一种能够简化设计过程、提高计算精确性的数字滤波器设计方法，并根据该方法在LabVIEW平台上开发了满足法规要求的数字滤波器．同时，通过对大量的碰撞试验数据进行分析处理，验证了该数字滤波器能够有效屏蔽原始数据中的噪声与高频分量，幅值不失真．     

Pathogenicity and Virulence of the Two Dutch VCGs of Verticillium dahliae to Woody Ornamentals

Two experiments were performed in two consecutive years to test whether isolates of different vegetative compatibility groups (VCGs) differ in their ability to cause disease in woody ornamentals, to study the host specificity of the isolates and to get an insight into disease development in woody hosts. A range of woody ornamental plant species, including Acer campestre, Acer platanoides, Acer pseudoplatanus, Catalpa bignonioides, Cotinus coggygria, Robinia pseudoacacia, Rosa canina, Syringa vulgaris and Tilia cordata, were root-dip inoculated with six isolates of Verticillium dahliae, belonging to the two VCGs that occur in the Netherlands (VCG NL-1 and VCG NL-2). Isolates belonging to each VCG caused severe symptoms of verticillium wilt in most plant species tested. Disease progress differed between plant species, but was generally the same for the two VCGs. No overall differences in virulence were observed between the two VCGs for external wilt symptoms, number of dead plants, or shoot length. No significant VCG × plant species interactions were present for these characteristics. However, isolates of VCG NL-1 caused more vascular discolouration than did isolates of VCG NL-2. Isolates within VCGs often differed considerably in their virulence to certain hosts, as shown by highly significant isolate × plant species interactions. Isolates were more virulent on their original host. These findings imply that VCG identification does not contribute to disease prediction for a range of woody hosts.     

扫描昆虫雷达实时数据采集、分析系统

利用自行设计、制作的扫描昆虫雷达数据采集分析系统,对扫描雷达回波的VGA图像信号进行单帧采集和多幅序列采集,经过图像处理、参数自动识别和回波的自动分析、计算后可得到昆虫活动的方位、高度、距离、密度、飞行的方向和速度等一系列迁飞活动数据。对迁飞昆虫活动实时监测,实现该类害虫的准确预测和有效治理具有非常重要的作用。     

The impact of truncating data on the predictive ability for single‐step genomic best linear unbiased prediction

Simulated and swine industry data sets were utilized to assess the impact of removing older data on the predictive ability of selection candidate estimated breeding values (EBV) when using single‐step genomic best linear unbiased prediction (ssGBLUP). Simulated data included thirty replicates designed to mimic the structure of swine data sets. For the simulated data, varying amounts of data were truncated based on the number of ancestral generations back from the selection candidates. The swine data sets consisted of phenotypic and genotypic records for three traits across two breeds on animals born from 2003 to 2017. Phenotypes and genotypes were iteratively removed 1 year at a time based on the year an animal was born. For the swine data sets, correlations between corrected phenotypes (Cp) and EBV were used to evaluate the predictive ability on young animals born in 2016–2017. In the simulated data set, keeping data two generations back or greater resulted in no statistical difference (p‐value > 0.05) in the reduction in the true breeding value at generation 15 compared to utilizing all available data. Across swine data sets, removing phenotypes from animals born prior to 2011 resulted in a negligible or a slight numerical increase in the correlation between Cp and EBV. Truncating data is a method to alleviate computational issues without negatively impacting the predictive ability of selection candidate EBV.     

基于高光谱特征参数的冬小麦氮营养指数估算

为了实现快速高精度获取冬小麦氮营养指数的高光谱监测技术，利用美国SVC HR-1024I型野外光谱辐射仪对2017-2019年关中地区的冬小麦进行遥感监测，获取“三边”参数、任意两波段光谱指数和植被指数，通过相关性分析和逐步回归分析方法筛选冬小麦氮营养指数的敏感光谱参数，结合偏最小二乘回归(PLSR)、随机森林算法(RFR)、支持向量机回归(SVR)和梯度增强回归(GBDT)建立冬小麦氮营养指数模型，并对模型估算精度进行验证。结果表明，从拔节期到灌浆期，各时期的氮营养指数与任意两波段光谱指数均呈极显著相关，其中拔节期氮营养指数与任意两波段光谱指数相关性均高于其他时期，且基于一阶导数光谱的归一化光谱指数和比值光谱指数与氮营养指数的相关系数最大，为0.66。拔节期基于梯度增强回归的冬小麦氮营养指数预测模型的决定系数(r²)和均方根误差(RMSE)分别为0.96和0.05,模型验证的r²、RMSE和相对预测偏差(RPD)分别为0.95、0.12和2.12,模型预测精度最高。因此，拔节期基于梯度增强回归的冬小麦氮营养指数估算模型可用于冬小麦氮营养监测...     

广西县级林地变更调查试点技术方法

为探索广西县级林地年度变更调查技术方法,以鹿寨县为例,运用遥感自动检测技术、森林资源管理信息平台等,对地类及管理属性变化图斑进行变更,形成本期林地数据库和林地变化数据库。文章分析了林地变更调查的关键技术方法,指出了存在的问题,并提出相应的建议。     

关于地理空间数据整合与持续高效更新存在的问题分析

文章针对当前地理空间数据整合与持续高效更新所存在的问题,在地理空间数据更新中引入了“数据同化”这一思想和概念,对持续高效更新存在的问题及“地理空间数据同化”的涵义和关键技术进行了论述.