柳州市马尾松地径一元材积表的编制

结合二类调查的固定样地调查,收集了柳州市683株马尾松的胸径、地径成对值,拟合地径——胸径回归方程。利用一元立木材积表导算出柳州市马尾松人工林地径一元立木材积表,适用性检验结果,其精度达94.9%.     

温州野生地被植物园林筛选初报

广泛调查了温州地区野生地被植物种类,初步筛选出82种,利用园林植物应用的评价体系,进行评价分级,确定10种最适宜园林应用的地被植物,介绍6种地被植物园林应用情况.     

稻谷储藏真菌危害早期预测的研究

对稻谷储藏过程中,水分和温度的变化与真菌生长关系进行了研究,建立了一种稻谷储藏真菌危害早期预测方法.将12.5％％、13.4％、14.5％、15.6％和16.2％水分稻谷样品,置于10℃、15℃、20℃、25℃、30℃、35℃恒温箱中储藏180 d,每10 d取一次样检测真菌生长状况.结果表明:12.5％水分稻谷长期储藏是安全的;13.4％水分稻谷短期储存是安全的,长期储藏仍存在潜在风险;14.5％水分稻谷在15℃以下储存半年是安全的;15.6％和16.2％稻谷在实验的6个温度下储存20 d内均检出有真菌生长.不同温度下稻谷储藏真菌生长顺序为:35℃＞30℃＞25℃＞20℃＞15℃＞10℃.基于上述真菌生长规律的研究,对稻谷储存水分、温度和真菌起始生长时间进行幂函数分析,得出稻谷储存水分、温度和真菌危害早期预测曲线,通过本曲线可进行高水分稻谷储存安全期预测.     

基于KPCA-WLSSVM的建筑能耗预测模型

为降低建筑能耗影响因素间复杂相关性对模型性能的影响,建立了一种基于KPCA-WLSSVM的建筑能耗预测模型。利用核主元分析(KPCA)对输入变量进行数据压缩,消除变量之间的相关性,简化模型结构;进一步采用加权最小二乘支持向量机(WLSSVM)方法建立建筑能耗预测模型,同时结合一种新型混沌粒子群-模拟退火混合优化(CPSO-SA)算法对模型参数进行优化,以提高模型的预测性能及泛化能力。通过将KPCA-WLSSVM模型方法应用于某办公建筑能耗的预测中,并与WLSSVM、LSSVM及RBFNN模型相比,实验结果表明,KPCA-WLSSVM模型方法能有效提高建筑能耗预测精度。     

Application of Water Quality Standand Leuel Method in Eualuazing Status Quo of Heauy-Metals Pollution in Riuers

The status quo of heauy-metals pollution in water phase of course of Long-Tan hydropower statian was eualuated by water Quality Standand Level Method. With this special method,mone objectiue and definite results were obtained.     

Application of Attribute Reduct Method in Spatial Load Forecasting

Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.     

微分响应在降雨误差修正中的应用

误差修正是实时洪水预报研究和应用中的重要内容,从修正模型降雨输入角度出发,提出了一种基于微分响应的降雨误差修正方法,并通过实例论证了该方法修正降雨量的适用性。该方法通过计算降雨所对应模型的微分响应来修正降雨,从而修正出口断面流量过程。将该修正方法结合新安江模型,对闽江建阳流域的19场历史洪水进行了有效性检验,结果表明:此方法对洪量、洪峰的修正效果明显,且能够显著提高洪水预报的合格率,修正后合格率由63.2%提高到94.7%。     

地温空调井抽回灌效果影响关键因子识别

为了探析引起地温空调井抽回灌效果的主要制约因素,通过单相关系数分析、主成分绝对得分的源解析模型、拟合度检验和多元线性回归的方法分析影响单井回灌效率的影响因素。结果表明:井径、滤水管孔隙率及抽回灌井数比与单井回灌效率的相关性和拟合度较好,故将井径、滤水管孔隙率及抽回灌井数比作为影响单井回灌效率的关键因子,同时分析了单井回灌效率与关键因子的之间的拟合方程及多元线性回归方程,得到了单井回灌效率与关键因子之间的定量关系。     

Flowering phenology of a herbaceous species (Poa annua) is regulated by soil Collembola

The role of soil organisms as possible driver of flowering has never been investigated. We hypothesized that Collembola (microarthropods) will change plant allocation to reproductive modes by changing soil nutrient availability. Individual seedlings of Poa annua were planted in microcosms, in the presence or absence of Collembola. Collembola affected biotic (fungal biomass) and abiotic ($\text{N}-{{\text{NO}}_3}^{-}$, P₂O₅) soil properties and some morphological (number of leaves, root biomass) and chemical (C:N, K, Mg, N) traits of P. annua. As a result, flowering of P. annua was promoted by the presence of Collembola. This provides experimental evidence that soil microarthropods can affect the reproduction strategy and phenology of a plant.