数值模型结构不确定性对模拟结果的影响分析

以内蒙古鄂托克旗为例,基于GMS中的MODFLOW模块构建了地下水流数值模拟模型,分析了模型结构(含水层厚度、参数分区)与模型参数不确定性因素对模拟结果的影响.研究结果表明:含水层不确定情景(含水层下边界概化为隔水底板平均值870 m)与实际情况水头差值绝对值的累计和最大为701 m,对模拟结果起了主控作用;当含水层下边界概化为910,940 m时,累计和分别增加为1 013,1 593 m;与仅考虑单个不确定性因素相比,同时考虑模型参数与含水层不确定情景累计和最大为738 m,同时考虑参数分区与含水层不确定情景累计和最大为791 m.因此,在构建地下水流数值模拟模型时,应优先考虑含水层空间结构概化的合理程度,同时考虑多个不确定性因素对模拟结果的综合影响,使地下水数值模拟模型能更精确地反映真实的地下水流状况.     

几种楼梯面可视化快速参数建模方法

楼梯面的智能化建模问题是建筑、装饰等行业的热点问题．以AutoCAD VBA作为开发工具．给出几种楼梯面可视化参数快速建模方法，并对楼梯面的生成算法进行了探讨．使楼梯面模型的设计更具敏捷化、智能化和可交互性．开发的设计程序可作为AutoCAD命令嵌入到的AutoCAD绘图软件中．以提高用户的设计效率。     

基于系统辩识的PID参数自整定

This paper presented a metnod of self-determining PID parameters by using system idenification and gave a engineering sample.     

番鸭生长性状遗传参数的估测

对白羽番鸭RF系各阶段的生长性状进行表型分析和遗传参数估计。结果：各阶段的体重遗传力较高，日增重的遗传力中等，而0－70日龄料肉比和0－84日龄料肉比遗传力偏低。同时还表明，各阶段体重之间和日增重之间存在较强的正遗传相关，而各阶段日增重与料肉比之间存在不同程度的负遗传相关。生长性状遗传相关的变化范围在－0．824－0．912。     

维生素A水平对生长猪生产性能、肝脏维生素A含量和血清免疫参数的影响

试验研究饲粮添加不同水平维生素A(VA) (0、1300、2600、5000、10000、15000IU/kg)对22 -50kg生长猪生产性能、胴体品质、胴体无脂瘦肉增重、肝脏和血浆中VA含量、血清免疫参数的影响。结果表明 ,添加VA1300 -10000IU/kg 提高了日增重 (P>0.05)、极显著地降低料重比 (P<0.01) ;但VA添加水平从1300IU/kg增加至10000IU/kg,料重比显著提高 (P<0.05) ,采食量也极显著提高 (P<0.01)。各组屠宰率、瘦肉率、脂肪率、背膘厚、胴体瘦肉成分都无显著差异 (P>0.05) ,眼肌面积则随VA水平的升高而趋于增大(P>0.05)。胴体瘦肉和无脂瘦肉日增重在添加VA1300IU/kg 和10000IU/kg两组间很接近 ,而且优于其它组 (P<0.05)。随着VA水平的提高 ,肝脏中VA含量极显著提高 (P<0.01) ,至添加VA10000IU/kg组最高 ,之后略下降 ;添加VA有使血浆中VA含量升高的趋势 (P>0.05)。各组血清中IgG、IgA、IgM含量都无显著差异 (P>0.05) ,添加VA使T淋巴细胞中CD3+ 和CD8+ 亚群比例趋于升高 (P>0.05),随着添加VA水平提高 ,血清T淋巴细胞中CD4+/CD8+比值趋于下降 ,至添加VA10000IU/kg 组最低 ,在VA15000IU/kg 组又明显上升 (P>0.05)。以肝脏中VA含量为指标 ,生长猪VA适宜水平为在基础饲料上添加10000IU/kg ,但根据生产性能等其它指标 ,添加1300IU     

几种缓释肥的氮释放特性以及对草坪草生长的影响

实验室内采用水浸泡法对尿素、3种缓效肥和山西省农业科学院土壤肥料研究所研制(自研草坪肥)的缓效肥的初期溶出率和微分溶出率进行了测定.其中尿素的初期溶出率为22.75%,超出了国际上公认的缓/控释肥的初期溶出率小于15%的指标,而微分溶出率为0.22%,也小于国际上公认的缓/控释肥的微分溶出率(0.25%～2.5%)指标.其他几种缓释肥的初期溶出率为8.73%～14.42%,微分溶出率为0.30%～2.11%,符合国际上公认的缓/控释肥的初期溶出率和微分溶出率指标.田间试验比较和研究了尿素、3种缓效肥和山西省农业科学院土壤肥料研究所研制的缓效肥对草坪草的干草产量和养分含量的影响,尿素和包衣尿素处理的草坪草的生长量前期较高,后期产草量较低,呈马鞍型.其他处理的草坪草干草产量则比较平缓,肥料的氮释放特性与草坪草生长趋势相同.不同肥料处理对草坪草的中量、微量元素含量有一定的影响.     

铜中毒对雏鸭某些血液指标的影响

选用1日龄天府肉鸭210只,随机分为3组,分别喂以对照日粮(Cu12.16mg/kg)、铜中毒日粮(Cu850mg/kg)和铜中毒日粮(Cu1050mg/kg)。试验期7周。以血液病理学方法观察了铜中毒对雏鸭某些血液学指标的影响。结果显示铜中毒组、组雏鸭分别于2周龄和3周龄开始出现临床症状,死亡18只和5只。血液病理学变化表现为,红细胞大小不等、变形变性、坏死溶解;红细胞数量和血红蛋白含量显著降低(P<0.01),血清谷丙转氨酶、谷草转氨酶活性显著升高(P<0.05或P<0.01),血清铜蓝蛋白活性下降。结果表明,铜中毒对雏鸭的生长发育和上述血液指标影响明显。     

Effect of water restriction on milk yield and quality in Lacaune breed ewes

The effect of water restriction on body weight, body condition score, milk yield, and milk composition and rheological characteristics in intensively reared Lacaune ewes was evaluated. After 7 days of adaptation, the trial lasted 28 days. Thirty lactating ewes (48 ± 5 months of age; mean value ± standard deviation) at the beginning of third lactation month were divided into three groups (n = 10), corresponding to the following water restriction treatment: a group control received no drinking water restriction (W100), and two groups received water to the extent of 80% and 60% of W100 daily consumption (W80 and W60 group respectively). The effects of water restriction were assessed at the beginning of experiment (D0), at D14 and D28. The W60 group resulted in a significant decrease in body weight, body condition score, milk yield and feed consumption of hay due to the experimental treatment; whereas a marked increase in both W60 and W80 groups of milk lactose, urea, sodium, sodium chloride content and titratable acidity was observed. Rheological parameters of milk, rennet coagulation time and curd‐firming time were positively affected by water restriction treatments, with a decrease in both experimental groups of the time required for the formation of a stable and firm curd. Results highlight the importance of water consumption in dairy sheep. The scarce availability of water, significantly affecting ewes milk production, is worthy of particular attention in arid area where water stress‐resistant breeds should be considered. This study underlines that milk yield, being closely linked to the availability of water of the breeding habitat due to its high water content (about 81%), could be reached in area where water is not a limiting factor without reducing the genetic expression of the animals. Less severe water restrictions, such as 20% of daily voluntary water intake, produce no detrimental effect on milk yield.     

穗期玉米昼夜生理状态规律的遥感综合探测研究

针对QY、PRI、NDVI、水势分别从不同的方面反映玉米的生理状况,以甜糯二号玉米作为材料,通过田间试验测量玉米昼夜4个参数值,研究了QY、PRI、NDVI、水势4个参数的昼夜变化,并且分析它们之间的相关性。结果表明,QY、水势、PRI三者具有很强的相关性,并且能建立回归模型表示它们之间的联系。     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.