王家厂水库洪水实时预报方法及应用研究

考虑到流域降雨时空变化和流域地形、河道特征对流域产汇流的影响，应用新安江三水源产流模型、流域分散入流非线性汇流模型以及流域洪水实时预报校正模型，对王家厂流域洪水进行模拟，取得了较为满意的计算结果。     

手扶拖拉机－驾驶员系统实验模态分析

用实验方法研究手扶拖拉机－驾驶员系统的振动特性，测量了随机激励时拖拉机上１６个测点及人体上７个测点的加速度响应，得到了前１０阶模态参数，并与没有驾驶员的情况进行了对比，所得结果可供人体振动防护和手扶拖拉机的振动设计参考     

凡纳对虾小触角表面结构的显微观察

应用光学显微镜和扫描电子显微镜观察了凡纳对虾小触角的表面结构。结果发现：小触角上广泛着生着700根以上的羽状刚毛；外鞭片状隆起腹面平均约具280根无顶孔但有细分支的化感刚毛，这类有分支的化感刚毛在其它十足目种类上未见有报道，而且其刚毛数也较其它种类少；内侧附肢前端与柄节上直立的羽状刚毛毛簇顶相接触，推测该结构可能对相邻的复眼具某种作用。     

烟后作超级稻品比试验初报

福建省长汀县常年种植烤烟0.6万多hm2,烤烟采收结束期为6月底7月初,比双季早稻成熟期提前15~20d。为充分利用7月上中旬高温强照的温光资源,大幅度提高烟后作稻单产,筛选出适宜长汀县烟后作稻种植的高产优质抗性较强的组合,     

采用改进CenterNet模型检测群养生猪目标

为实现对群养环境下生猪个体目标快速精准的检测,该研究提出了一种针对群养生猪的改进型目标检测网络MF-CenterNet（MobileNet-FPN-CenterNet）模型,为确保目标检测的精确度,该模型首先以无锚式的CenterNet为基础结构,通过引入轻量级的MobileNet网络作为模型特征提取网络,以降低模型大小和提高检测速度,同时加入特征金字塔结构FPN（Feature Pyramid Networks）以提高模型特征提取能力,在保证模型轻量化、实时性的同时,提高遮挡目标和小目标的检测精度。该研究以某商业猪场群养生猪录制视频作为数据源,采集视频帧1 683张,经图像增强后共得到6 732张图像。试验结果表明,MF-CenterNet模型大小仅为21 MB,满足边缘计算端的部署,同时对生猪目标检测平均精确度达到94.30%,检测速度达到69 帧/s,相较于Faster-RCNN、SSD、YOLOv3、YOLOv4目标检测网络模型,检测精度分别提高了6.39%、4.46%、6.01%、2.74%,检测速度分别提高了54、47、45、43 帧/s,相关结果表明了该研究所提出的改进型的轻量级MF-CenterNet模型,能够在满足目标检测实时性的同时提高了对群养生猪的检测精度,为生产现场端的群养生猪行为实时检测与分析提供了有效方法。     

Effect of Assessment Scale on Spatial and Temporal Variations in CH4, CO2, and N2O Fluxes in a Forested Wetland

Emissions of methane (CH₄), carbon dioxide (CO₂), and nitrous oxide (N₂O) from a forested watershed (160 ha) in South Carolina, USA, were estimated with a spatially explicit watershed-scale modeling framework that utilizes the spatial variations in physical and biogeochemical characteristics across watersheds. The target watershed (WS80) consisting of wetland (23%) and upland (77%) was divided into 675 grid cells, and each of the cells had unique combination of vegetation, hydrology, soil properties, and topography. Driven by local climate, topography, soil, and vegetation conditions, MIKE SHE was used to generate daily flows as well as water table depth for each grid cell across the watershed. Forest-DNDC was then run for each cell to calculate its biogeochemistry including daily fluxes of the three greenhouse gases (GHGs). The simulated daily average CH₄, CO₂ and N₂O flux from the watershed were 17.9 mg C, 1.3 g C and 0.7 mg N m⁻², respectively, during the period from 2003–2007. The average contributions of the wetlands to the CH₄, CO₂ and N₂O emissions were about 95%, 20% and 18%, respectively. The spatial and temporal variation in the modeled CH₄, CO₂ and N₂O fluxes were large, and closely related to hydrological conditions. To understand the impact of spatial heterogeneity in physical and biogeochemical characteristics of the target watershed on GHG emissions, we used Forest-DNDC in a coarse mode (field scale), in which the entire watershed was set as a single simulated unit, where all hydrological, biogeochemical, and biophysical conditions were considered uniform. The results from the field-scale model differed from those modeled with the watershed-scale model which considered the spatial differences in physical and biogeochemical characteristics of the catchment. This contrast demonstrates that the spatially averaged topographic or biophysical conditions which are inherent with field-scale simulations could mask “hot spots” or small source areas with inherently high GHGs flux rates. The spatial resolution in conjunction with coupled hydrological and biogeochemical models could play a crucial role in reducing uncertainty of modeled GHG emissions from wetland-involved watersheds.     

pH-dependent distribution of soil ammonia oxidizers across a large geographical scale as revealed by high-throughput pyrosequencing

Purpose

Ammonia-oxidizing archaea (AOA) and bacteria (AOB) are ubiquitous and important for nitrogen transformations in terrestrial ecosystems. However, the distribution patterns of these microorganisms as affected by the terrestrial environments across a large geographical scale are not well understood. This study was designed to gain insights into the ecological characteristics of AOA and AOB in 65 soils, collected from a wide range of soil and ecosystem types.

Materials and methods

Barcoded pyrosequencing in combination with quantitative PCR was employed to characterize the relative abundance, diversity, and community composition of archaeal 16S rRNA gene, and AOA and AOB amoA genes in 65 soil samples.

Results and discussion

The operational taxonomic unit richness and Shannon diversity of Thaumarchaeota, AOA, and AOB were highly variable among different soils, but their variations were best explained by soil pH. Soil pH was strongly correlated with the overall community composition of ammonia oxidizers, as measured by the pairwise Bray–Curtis dissimilarity across all sites. These findings were further corroborated by the evident pH-dependent distribution patterns of four thaumarchaeal groups (I.1a-associated, I.1b, I.1c, and I.1c-associated) and four AOB clusters (2, 3a.1, 10, and 12). The ratios of AOA to AOB amoA gene copy numbers significantly decreased with increasing pH, suggesting a competitive advantage of AOA over AOB in acidic soils.

Conclusions

These results suggest that the distribution of ammonia oxidizers across large-scale biogeographical settings can be largely predicted along the soil pH gradient, thus providing important indications for the ecological characteristics of AOA and AOB in different soils.     

Fungal endophyte Phomopsis liquidambari B3 enriches the diversity of nodular culturable endophytic bacteria associated with continuous cropping of peanut

Previously, the application of the fungal endophyte Phomopsis liquidambari B3 exhibited notable effect in alleviating soil obstacles caused by continuous cropping of peanut. It was supposed that P. liquidambari B3 could enhance the efficiency of nodulation and nitrogen fixation by enriching the diversity of nodular endophytic bacteria under continous monocropping system. To verify this hypothesis, a pot experiment was conducted under natural conditions. Four treatments were set as follow: discontinuous cropping soil (NS), continuous cropping soil (CK), continuous cropping soil inoculate with actived P. liquidambari B3 (CSB3), and continuous cropping soil inoculate with sterilized P. liquidambari B3 (CSIB3). As a result, a total of 120 isolates were obtained. Our study clearly declared that the addition of fungal endophyte effectively enriched the genetic diversity and the community composition in CSB3. In contrast, a low genetic diversity level and simplex community structure were exhibited in CK and CSIB3. Meanwhile, the positive percentage rate and corresponding community composition of the plant growth-promoting isolates in NS and CSB3 were larger and more abundant than the other. This is the first time to describe the effects of fungal endophytes on the diversity of the nodular culturable endophytic bacteria associated with continuous cropping of peanut.     

汽车新动力━━HEV综述

介绍了混合动力电动汽车(HEV)的概念、HEV动力总成的组成及型式,以丰田PRIUS为例阐述了HEV的工作原理。     

工程车辆并行自适应神经网络自动换挡控制

为了解决工程车辆在重载作业时传动系统效率大幅下降的问题,以工程车辆"两参数"换挡规律为依据,提出一种并行自适应神经网络自动换挡控制的方法。结构上由神经网络控制、自适应神经网络模型、网络评价和运行监控模型组成。仿真结果表明,该控制方法提高了工程车辆液力机械传动系统效率,有效地克服了神经网络控制实时性差,难以在工程实际中应用的问题,实现了换挡控制的智能化。