芋疫病空间分布格局及其抽样技术研究

为了进一步提高对芋疫病预测预报,科学指导生产上的防治,应用最小二乘法、频次分布、聚集度指标、m^*-m回归分析和Taylor幂法则等对病株的空间分布型进行了分析。结果表明:当田间芋疫病病株率在0.427~0.513时,病株田间分布属聚集分布;当田间芋疫病病株率在0.720~0.820时,病株田间分布属均匀分布。此外其病株空间分布的基本成分是个体群,病株个体间相互吸引,病株在大田中存在明显的发病中心,且病株个体的空间格局随着病株密度的提高越趋均匀分。在此基础上,提出了Iwao最适理论抽样模型N=232.3783/m-87.9438,并建立序贯抽样模型T₀(N)=0.3689N±1.7177$\sqrt{N}$,即:调查株数N时,若累计病株率超过上界可定为防治对象田,若累计病株率未达到下界时,可定为不防治田,若累计病株率在上下界之间,则应继续调查,直到最大样本数m₀=0.3689时,也即病株率15%,所需抽样数542株止。     

车载智能土壤采样系统设计与试验

针对传统土壤样本采集操作复杂、劳动强度大、采集精度低和缺乏信息化管理的问题，设计了一种车载智能土壤采样系统。该系统安装于无人驾驶采样车上，系统包括土壤样本自动采集装置和电气控制系统。对系统整个工作过程进行分析，确定了各关键机构及控制硬件的主要工作参数。电气控制系统以运动控制器为控制核心，土壤样本自动采集装置对不同深度范围的土样进行采集，并按地理位置信息分类收集，通过RFID读写器将GPS系统定位所解算的目标采样点的经纬度地理信息和采样深度等信息写入收集土样采样筒底部的电子标签中。性能试验表明，安装于无人驾驶采样车的车载智能土壤采样系统工作运行稳定、可靠，能够对农耕层0~200mm任意深度范围的土壤进行自动分层采样，效率高、精度高、全程自动化，能够按照位置信息进行分类管理，较好地满足了智能化高质量采集土样的需求。     

农业用地土壤重金属样本点数据精化方法——以北京市顺义区为例

样本点空间分布是样点数据检测评价和挖掘分析的关键因素。以北京市顺义区为例，研发了一种农业用地土壤重金属样本点数据精化方法：首先构建样本点均匀变异指数和均匀因子离散图来共同检测样本点数据均匀性，进一步将样本点类型划分为均匀样本点、聚集样本点和稀疏样本点并确定其数量；其次删除聚集样本点，基于研究区历史数据加密稀疏样本点；最后基于地理空间样本点均匀变异指数、特征空间偏离指数和插值误差共同评价数据精化效果。结果表明，研究区样本点的均匀变异指数为0.429，存在一个聚集样本点和一个稀疏样本点，空间偏离指数为0.327，空间属性插值误差为6.538；冗余数据精化后进行均匀性检测没有发现聚集样本点和稀疏样本点，均匀变异指数下降到0.406，特征空间偏离指数微弱下降，空间属性插值误差下降到6.357。研究表明该方法可以对提高采样数据的均匀性和代表性提供理论指导，可以服务于土壤污染防治行动计划（土十条）、土壤污染状况详查等，为更加精确研究土壤空间信息变化提供一定的基础条件。     

Study on a soil erosion sampling survey in the Pan-Third Pole region based on higher-resolution images

Soil erosion is one of the most severe global environmental problems, and soil erosion surveys are the scientific basis for planning soil conservation and ecological development. To improve soil erosion sampling survey methods and accurately and rapidly estimate the actual rates of soil erosion, a Pan-Third Pole region was taken as an example to study a methodology of soil erosion sampling survey based on high-spatial-resolution remote sensing images. The sampling units were designed using a stratified variable probability systematic sampling method. The spatiotemporal characteristics of soil erosion and conservation were taken into account, and finer-resolution freely available and accessible images in Google Earth were used. Through the visual interpretation of the free high-resolution remote sensing images, detailed information on land use and soil conservation measures was obtained. Then, combined with the regional soil erosion factor data products, such as rainfall-runoff erosivity factor (R), soil erodibility factor (K), and slope length and steepness factor (LS), the soil loss rates of some sampling units were calculated. The results show that, based on these high-resolution remote sensing images, the land use and soil conservation measures of the sampling units can be quickly and accurately extracted. The interpretation accuracy in 4 typical cross sections was more than 80%, and sampling accuracy, described by histogram similarity in 11 large sampling sites, show that the landuse of sampling uints can represent the structural characteristics of regional land use. Based on the interpretation of data from the sample survey and the regional soil erosion factor data products, the calculation of the soil erosion rate can be completed quickly. The calculation results can reflect the actual conditions of soil erosion better than the potential soil erosion rates calculated by using the coarse-resolution remote sensing method.     

在ERDASIMAGINE中建立邯郸市TM影像土地类型解译标志

为了准确地了解邯郸市的土地利用类型,掌握土地资源的发展动态,在ERDASIMAGINE软件支持下,将Landsat 5号卫星所得的TM4、3、2波段数据组合输出成为标准假彩色影像,对其进行几何校正、重采样、图像裁剪与镶嵌等操作,依据遥感图像特征、地物相关关系、区域特点和全国土地利用分类系统,对处理后所得的邯郸市TM影像建立土地类型解译标志。经过实地验证,其结果判正率比较高,可以满足解译精度的要求,这说明利用遥感技术建立土地利用类型解译标志是可行的。     

桃蚜在辣椒上的空间分布及抽样技术研究

桃蚜作为世界范围内农作物主要害虫,在我国主要蔬菜种植区均有发生。因其繁殖能力强以及对蔬菜尤其是辣椒质量造成危害而成为重要防治对象。为了明确四川省成都主要辣椒种植区桃蚜空间分布格局,本试验运用2种回归方法和8个聚集度指标(K, C, CA, I, M*, m*/m, L*, L*/(1+m))对桃蚜盛发期种群的空间格局进行了研究；同时,通过Iwao回归法和Taylor幂法计算桃蚜种群理论抽样数,Iwao和kuno序贯抽样技术拟合桃蚜的序贯抽样模型。结果表明桃蚜种群呈聚集分布,聚集强度随种群密度的升高而增加,且个体间相互吸引,其聚集原因是由桃蚜习性与环境因素共同引起的,但8月下旬开始聚集原因主要有环境因素决定；通过种群密度与聚集度指标相关性分析表明,用平均拥挤度(m*/m)、负二项分布指标(K),久野指数(CA)及L*/(m+1)分析桃蚜空间分布型更具说服力；并利用空间格局参数确定了理论抽样数和序贯抽样模型。     

Effect of pancreas disease caused by SAV 2 on protein and fat digestion in Atlantic salmon

Salmonid alphavirus (SAV) causes pancreas disease (PD) in farmed Atlantic salmon (Salmo salar L.), and exocrine pancreas tissue is a primary target of the virus. Digestive enzymes secreted by the exocrine pancreas break down macromolecules in feed into smaller molecules that can be absorbed. The effect of SAV infection on digestion has been poorly studied. In this study, longitudinal observations of PD outbreaks caused by SAV subtype 2 (SAV2) in Atlantic salmon at two commercial sea sites were performed. The development of PD was assessed by measurement of SAV2 RNA load and evaluation of histopathological lesions typical of PD. Reduced digestion of both protein and fat co‐varied with the severity of PD lesions and viral load. Also, the study found that during a PD outbreak, the pen population comprise several subpopulations, with different likelihoods of being sampled. The body length of sampled fish deviated from the expected increase or steady state over time, and the infection status in sampled fish deviated from the expected course of infection in the population. Both conditions indicate that disease status of the individual fish influenced the likelihood of being sampled, which may cause sampling bias in population studies.     

多目标资源调查站位优化设计——以渤海为例

本研究以渤海为研究区域,通过数值模拟,分析了种类出现率(将基于渤海调查的17个主要渔业种类分为3类:Ⅰ类出现率≥70%,Ⅱ类出现率50%～70%,Ⅲ类出现率50%)和栖息水层对单种类资源量相对误差(Relative error, REE)的影响,不同调查站位数量(48和60)对定点采样与分层随机采样分析结果的影响,并优化了渤海多目标渔业资源调查的设计方案。结果显示,Ⅰ类中5种资源量REE在20%以内,Ⅱ类中3种资源量REE在30%以内,Ⅲ类中6种资源量REE在35%以内,即单种资源量评估值随种类出现率下降,相对误差变大;种类的栖息水层对种类资源量REE无明显影响。定点采样评估值随站位数量减少,精度下降(鱼类、虾类、蟹类、头足类的资源量指数和Margalef丰富度指数的REE分别增加了1.1%、2.5%、8.4%、4.4%和3.3%);分层随机采样可弥补站位数减少带来的精度下降,如站位数为48的分层随机采样获得的鱼类资源量指数评估精度(REE为4.6%)高于站位数为60的定点采样的精度(REE为7.7%),有助于减少调查成本和保护资源量低的种类。然而,每种采样方法并不能完全满足多目标最优,不同站位分配方案影响分层随机采样的精度,按照抽样费用最优准则设置站位,可获得精确度较高的鱼类、虾类、蟹类、头足类及黄鲫(Setipinnataty)、口虾蛄(Oratosquillaoratoria)、日本枪乌贼(Loligojaponica)、鳀鱼(Engraulis japonicus)、叫姑鱼(Johniusgrypotus)、泥脚隆背蟹(Carcinoplaxvestita)、中国对虾(Fenneropenaeus chinensis)等主要种类资源量评估结果,可作为渤海多目标种类资源调查的站位设计方案。     

The influence of diel period on fish assemblage in the unstructured littoral of reservoirs

Abstract Diel changes in littoral fish assemblage were studied in four reservoirs in the Czech Republic (Central Europe). The sampling was performed by beach seining in an unstructured littoral zone. Perch, Perca fluviatilis L., roach, Rutilus rutilus (L.), bream, Abramis brama (L.), carp, Cyprinus carpio L., ruffe, Gymnocephalus cernua (L.), pikeperch, Sander lucioperca (L.), eel, Anguilla anguilla (L.) and A. brama × R. rutilus hybrids exhibited higher densities at night. Only bleak, Alburnus alburnus (L.) exhibited higher densities during the day. The number of species was higher in night hauls, and mean body size of roach and bleak was also higher at night. Diel changes in fish densities resulted in the change in species composition between day and night. The study has implication for the sampling design to assess littoral fish assemblages using beach seine netting and recommends night sampling for a representative assessment or sampling during both diel periods for a robust assessment.     

基于混合狼群算法参数优选的泵站群运行优化

对于求解复杂的并联泵站群优化运行模型,狼群算法(wolf pack algorithm,WPA)存在收敛性和鲁棒性差等问题。为改善这些问题,该文以某典型并联泵站群为例,以泵站系统主机组运行能耗最低为优化目标,考虑流量、叶片角度、开机台数等约束条件,建立了并联泵站群优化运行模型。将模拟退火算法引入WPA算法中,提出混合狼群算法(hybrid wolf pack algorithm,HWPA)用于求解建立的优化模型。选择最小值、平均值和标准差作为算法性能的评价指标。相较于粒子群算法(particle swarm optimization,PSO)和WPA算法,HWPA算法求解典型并联泵站群优化运行模型得出的运行能耗最小值平均降低了15.60、10.23 kW,平均值平均降低了36.94、14.30 kW,标准差平均降低了84.82%、72.90%。在HWPA算法的基础上,对算法中的游走步长、奔袭步长、围攻步长的最小值和最大值4个参数进行单因素分析和拉丁超立方抽样设计计算,确定出4个参数的最优组合为0.33、1.53、0.672和4.8×10^5,进而提出改进混合狼群算法(improved hybrid wolf pack algorithm,IHWPA)。相较于HWPA算法,IHWPA算法求解典型并联泵站群优化运行模型得出的运行能耗最小值和平均值平均降低了4.66和13.26 kW,标准差平均降低了94.02%。应用IHWPA算法确定典型并联泵站群6个不同运行工况优化方案,结果表明,采用引入模拟退火算法、优选WPA算法参数的方法提高了算法的全局收敛性与计算鲁棒性,泵站运行最优决策方案较实际方案的运行能耗平均降低9.80%,可为泵站工程提供合理有效的运行方案,降低运行能耗。