基于地理权重回归模型的土壤有机质空间预测

准确了解土壤有机质的空间分布是合理施肥的重要前提,也是水土流失控制及保护环境的重要基础。利用113个土壤有机质样点数据,以海拔高度、土壤侵蚀强度、土地利用、比值植被指数、样点至河流的欧氏距离、亚铁矿物指数及坡度为参考因子,来尝试利用GWR(Geographically Weighted Regression)模型探索多重因素作用下的土壤有机质空间分布,并通过与普通线性回归(ordinary least squares,OLS)相比较,来了解GWR模型的精度,进而进行了土壤有机质的空间制图,并对其制图效果进行了评价。结果表明,与OLS模型相比,GWR预测模型它能显著降低AIC(Akaike Information Criterion)值,较大程度地提高模型的决定系数,并有效地减少模型的回归残差值。从制图的总体效果看,GWR模型的预测结果与实测值的吻合程度要优于OLS模型。文章还对利用GWR模型进行回归时的样点数量、因子筛选及因子定量化等方面进行了相应的讨论。     

华南兴国县影响土壤侵蚀时空动力学的环境因素

By using soil erosion maps of four different time periods and a digital elevation model (DEM), in combination with the remote sensing and GIS technologies, soil erosion dynamics in Xingguo County of Jiangxi Province in South China were analyzed on both temporal and spatial scales in soils of different parent materials, altitudes and slopes. The results showed that from 1958 to 2000 severe soil erosion was coming under control with a decreasing percentage of the land under severe erosion. It was also found that the soils developed from Quaternary red clay, granite and purple shale were more susceptible to soil erosion and that areas sitting between 200 to 500 m in altitude with a slope less than 3° or between 7° to 20° where human activities were frequent remained to be zones where soil erosion was most likely to occur. These areas deserve special attention in monitoring and controlling.     

基于激光雷达的巡检机器人导航系统研究

智能巡检机器人能够高效、可靠地完成巡检任务,降低工作人员的劳动强度,准确、稳定的导航定位是巡检机器人执行巡检任务的基础。本文研究了基于激光雷达的巡检机器人导航系统,可实现机器人在室内外环境下的地图建立、路径规划和导航定位。导航系统由远程监控平台与巡检机器人组成,远程监控平台发布巡检任务、监控机器人状态、查询与存储检测数据,巡检机器人可实现自主导航定位、遍历检测点、执行数据采集等巡检任务,二者通过无线网络实现远程数据交互。融合激光雷达与编码器信息,使用高鲁棒性Gmapping算法建立二维环境地图。根据地图与检测点信息,采用分支界定算法搜索最优巡检路线,以减少巡检时间和能源消耗。使用自适应蒙特卡罗定位(AMCL)算法估计机器人位置和姿态,结合巡检路线,进行导航定位。根据横向偏差与航向偏差,通过经典的PID算法完成机器人驱动控制。机器人搭载可见光相机与红外相机,可对目标进行可见光通道与红外通道的融合图像检测。对巡检机器人进行了室内导航定位试验,试验结果表明,在1 m/s的速度下,位置与航向偏差的平均绝对误差(MAE)分别小于5 cm和1.1°,标准差(SD)分别小于5 cm和1.5°,能够满足巡检导航定位的要求。     

芹菜对铁的吸收及铁对其生长和品质的影响

通过调节水培营养液中铁浓度分别为0,0.7,1.4,2.8,5.6,8.4,11.2和14.0.mg/L的8个水平种植4个芹菜品种,研究了不同铁供应水平对芹菜生长和植株铁含量及其品质的影响。结果表明,0.7mg/L浓度下,芹菜生长良好,没有表现缺铁症状,1.4mg/L浓度时,叶片中的铁含量达最大值,2.8mg/L浓度下,芹菜产量,Vc、蛋白质、叶绿素含量较高,硝酸盐含量较低。在各铁供应水平下4个芹菜品种均未出现铁中毒现象。供铁以后,其供应量对芹菜叶中钙、镁含量影响不大;锌含量与营养液中铁浓度呈负相关,铁锌之间表现出离子竞争作用。     

Growth and phosphorus uptake of maize cultivated alone,in mixed culture with other crops or after incorporation of their residues

Intercropping or rotating of P‐efficient crop species which mobilize sparingly soluble P by their root exudates can have beneficial effects on growth and P uptake of P‐inefficient species. We aimed at studying the effect of intercropping or incorporating of crop residues of P‐efficient crops on the components of maize P‐uptake, i.e. the root‐system size and P influx (P‐uptake rate per unit root length). This was studied in 3 pot experiments in a low‐P sandy soil. In the first experiment, maize was intercropped with white lupine, sugar beet or oilseed rape, and with groundnut in the second experiment. In the third experiment, maize was grown after incorporating the crop residues of white lupine, sugar beet or oilseed rape. Maize growth and yield was strongly inhibited when intercropped with white lupine, sugar beet or oilseed rape, probably because of competition for nutrients. But with groundnut as the accompanying species, maize yield was increased by a factor of 3, mainly because of an enhanced P influx. Crop residues of oilseed rape and sugar beet increased the yield of maize by factors 2 and 1.6, respectively, because of a 3 and 2 times higher P uptake as compared to maize grown after maize without incorporation of crop residue. The reason for the higher maize P‐uptake after oilseed rape was an 11 times higher P influx as compared to maize without crop residues, and after sugar beet residues because of an enhanced root growth and a 4 times higher P influx. Lupine residues did not improve maize growth, mainly because of a low P influx, which was even less than that of maize grown without crop residues. The soil solution P concentration and calcium acetate lactate‐extractable P (CAL P) measured in this study did not reflect the P availability as indicated by the plants (P uptake, P influx). This indicates that other mechanisms such as P mobilization in the rhizosphere by root exudates or cell‐wall components were responsible for the increased P availability. These mechanisms need further investigation.     

我国东北地区土壤有机碳密度和储量的估算研究

土壤有机碳库(Soilorganiccarbonpool)是陆地碳库的主要组成部分,在陆地碳循环研究中有着重要的作用。据估计,全球大约有15 0 0Gt碳是以有机质形态存在于土壤中[1] ,因此,土壤有机碳库量的微小变化,都会对大气温室气体浓度及全球气候产生相当大的影响。另一方面,土壤有机碳含量     

芨芨草水土保持功能的初步研究

芨芨草是黄土高原地区广泛分布的禾本科植物.人们对其水土保持方面的定量研究基本上还处于空白.通过对芨芨草草地土壤抗冲性、渗透性、土壤抗剪强度等指标的研究,来探讨芨芨草的水土保持功能.结果表明:芨芨草能明显提高土壤的抗冲性、渗透性及土壤的抗剪强度,并能增加地表的覆盖度.芨芨草在黄土高原地区的水土保持工作中有着广阔的应用前景.     

Current status and future strategy in breeding grasspea (Lathyrus sativus)

Efforts in grasspea (Lathyrus sativus) improvement have increased since the development of lines that are very low in the neurotoxin Beta-N-oxalyl-L-alpha-beta-diamino propionic acid (ODAP); also referred to as Beta-N oxalyl-amino-L-alanine (BOAA). Many programs now address several related aspects of improvement simultaneously. These include reduced ODAP concentrations, insect and disease resistance, nitrogen fixation, agronomic practices, fodder and forage production, and components for increased yielding ability. The coordinated, multidisciplinary approach now being applied to the genetic improvement of grasspea should allow the potential of this largely neglected grain legume to be fully realized.     

农田非结构特征视觉导航研

研究了农田非结构环境下,通过机器视觉提取导航线的处理算法.首先,根据农作物的特点提出了使用聚类的方法检测作业区域终点;其次,为避免噪声干扰,利用移动窗口检测二值图像白色像素的个数,确定导航路径区域;最后,使用改进的Hough变换提取导航线.实验表明,该算法可以准确提取绿色植物的行信息,处理一帧分辨率为320×240像素的彩色图像平均需要57.404ms,正确识别率达99%.     

基于机器视觉的棉种破损检测技术

研究了破损棉种的机器视觉识别方法,采用均值、方差、均方比等统计特性参数,计算棉种边界破损参数.通过实验确定均方比分类阈值为0.58,将棉种分为破损棉种和正常棉种.选取正常棉种330粒、破损棉种110粒,利用该检测系统进行检测,其识别精度达93%.