石墨烯薄膜原子氧剥蚀行为及电阻特性

目的研究石墨烯薄膜在原子氧空间环境的适应性,为其在航天器上应用提供参考。方法采用刮涂法制备石墨烯薄膜,将石墨烯薄膜材料及石墨烯电阻传感器置于微波源原子氧设备内开展原子氧试验,原子氧剂量分别为3.0×10^20 atoms/cm2和7.5×10^20 atoms/cm^2,研究薄膜表面形貌、结构、成分及电阻性能的变化。结果采用刮涂法可制备氧含量较低的石墨烯薄膜,原子氧剂量为7.5×10^20 atoms/cm^2情况下,石墨烯薄膜的厚度损失为5.3μm,原子氧反应率为7.14×10^-25 atoms/cm^3。原子氧作用后,石墨烯薄膜中碳原子无序程度增大,C—O、—COOH官能团含量降低,C=O官能团含量增加。石墨烯电阻传感器的R0/R比值随原子氧剂量增加线性降低,0.8μm厚度薄膜可探测最大原子氧剂量为5×10^19 atoms/cm^2,增加薄膜厚度有望提高传感器的使用寿命。结论得到了石墨烯薄膜厚度损失、原子氧反应率、微观结构及电阻特性的变化规律,可为石墨烯薄膜的空间应用提供技术支撑。     

气候和土地利用/覆被变化对宁波地区生态系统产水服务的影响

提供水资源是重要的生态系统服务功能之一,对区域经济和生态系统的可持续发展具有重要作用.近年来,人类活动对水资源的需求量增加,加之水环境污染和水资源浪费现象严重,造成了部分地区的缺水问题.在此背景下,本文以宁波地区为例,研究气候变化和土地利用/覆被变化对生态系统产水服务的影响.首先,利用InVEST模型中的产水量模块,估算了区域的产水量.然后,利用情景分析的方法设计6种情景,分析了气候变化和土地利用/覆被变化对区域产水量的影响.最后,量化了气候和土地利用/覆被变化这2种因素对生态系统产水服务的贡献程度,并讨论了形成机制.研究表明:①2000—2015年,宁波地区的降水量增加了6.44%,潜在蒸散量减少了8.35%.城镇化导致建设用地面积增加了120%,耕地面积减少了22.37%.在气候变化和土地利用/覆被变化的共同作用下,平均产水量增加了10.91%.②气候变化对生态系统产水服务的影响更为显著,而土地利用/覆被变化的影响较小.其中,2000—2015年气候变化对宁波地区产水量的贡献率高达97.56%,而土地利用/覆被变化的贡献率仅为2.44%.③城镇生态系统的产水量高于其他生态系统类型,农田生态系统的产水量高于森林和草地生态系统.因此,城镇化会增加产水量,退耕还林还草会导致产水量的减少.     

SPATIAL AND TEMPORAL VARIABILITY IN SUSPENDED SEDIMENT YIELDS OF NORTH ISLAND BASINS,NEW ZEALAND1

ABSTRACT: Specific annual suspended sediment yields and their standard deviations are presented for 47 basins of North Island, New Zealand. Most of the variance in yields is explained by catchment mean rainfall. Rivers with similar flow range have similar suspended sediment concentration ratings, independent of differing watershed lithology and regolith, except for six basins having an abundance of soft fine sediments. Prediction equations for yield and its standard deviation are derived for four essentially arbitrary regions. AU feature rainfall as the independent variable. Differences between regions may owe to variations in intensity, frequency, and duration patterns of storms and, in one area, to bed material size as well. The temporal distribution of annual yields from a basin m be modeled by a two-parameter lognormal function: the prediction equations above may be used to evaluate this function at a site for which suspended sediment data are unavailable.     

耕地不同产量水平的面积与分布监测法

查清中低产田的面积、分布与开发条件是制定农业综台开发规划的重要依据。采用按公里网布设的农业资源动态监测系统,开展对耕地不同产量水平的面积与分布的动态监测,其方法具有准确、简便和实用的特点。     

蔬菜施不同肥料对产量和土壤肥力的贡献

为控制施肥对蔬菜和土壤的负面影响，充分利用施肥对土壤肥力的保护功能，探讨蔬菜合理的有机肥施用量，在不同质地土壤上，田间试验小白菜、苦瓜、豇豆三种蔬菜施不同量有机肥，收获时测定其产量、品质及试验前后的土壤有机质质量分数。结果表明，(1)在施适量无机NPK的条件下，每造蔬菜的有机肥(禽畜粪便，下同)施用量，砂土上小白菜为4500kg／hm^2、苦瓜和豇豆为3000kg/hm^2；在壤土上，小白菜和苦瓜均宜施3000kg/hm^2，豇豆则宜施4500kg／hm^2；在粘土上，小白菜每造只宜施1500～3000kg／hm^2的有机肥。(2)有机肥必须与无机肥合理配合施用，才能获得最佳的产量和品质效果。(3)施有机肥3000-4500kg/hm^2 适量无机肥可使土壤有机质水平保持在种植蔬菜前的质量分数水平，该施肥量和方式不仅可使蔬菜高产、优质，还有利于保护土壤肥力。(4)对蔬菜产量的贡献，有机肥和化肥配合施用的处理对蔬菜产量的贡献最大，来自土壤的效应由小到大依次为有机肥和化肥配合施用→化肥→有机肥，进一步反映合理施肥有利于保护土壤肥力。     

钾对龙眼产量和品质的影响

为了提高龙眼产量，提高钾肥的施肥效益，于1993～1995年进行龙眼果园不同钾肥用量的施肥试验．结果表明，龙眼在施用氮碗肥及补充土壤缺乏的中微量元素养分的基础上，增施钾肥可增大果型、提高单果重，显著增加果实产量，并可改善果实品质；龙眼增施钾肥有明显的经济效益．提出龙眼适宜的施钾量为：每株每产50kg鲜果树面年施K2O1.2kg．     

浙江天台山茶树光合日变化及光响应

自然条件下使用LCA－4型便携式光合测定系统研究了栽培天天台山主峰华顶山的茶树连体叶片的光合日变化及光响应。结果表明：在初夏晴天,上年越冬叶片（下称二年生叶）的光合速率,表观量子效率,羧化效率和饱和光强比展叶红16d的一年生叶高,CO2补偿点和光补偿点比一年生叶低,两者的净光合速率日进程曲线均为“双峰”型,午间胞间CO2浓度上升表明,此时净光合速率下降主要受非气孔限制因素的影响。一年生叶蒸腾速率高于二年生叶,它们日进程曲线为单峰河,午间最高,而气孔阻力进间最低。不同时段作光响应和CO2响应试验表明,上午茶树的表观量子效率,饱和光强和羧化效率较高,光补偿点和CO2补偿点较低。图3表4参26     

高产玉米因土高效施肥技术研究

通过田间试验,研究广东省粤东河源灯塔盆地的粉砂坭地和粤北阳山县石灰岩山区的黄泥地氮、磷、钾养分的供应特性;高产玉米不同生育期吸收氮、磷、钾的规律,以及在不同土壤上氮、磷、钾肥的不同配比对玉米产量和经济效益的影响。根据试验结果进行统计,提出了高产玉米因土高效施肥技术方法。     

A Bayesian strategy for combining predictions from empirical and process-based models

We present a strategy for using an empirical forest growth model to reduce uncertainty in predictions made with a physiological process-based forest ecosystem model. The uncertainty reduction is carried out via Bayesian melding, in which information from prior knowledge and a deterministic computer model is conditioned on a likelihood function. We used predictions from an empirical forest growth model G-HAT in place of field observations of aboveground net primary productivity (ANPP) in a deciduous temperate forest ecosystem. Using Bayesian melding, priors for the inputs of the process-based forest ecosystem PnET-II were propagated through the model, and likelihoods for the PnET-II output ANPP were calculated using the G-HAT predictions. Posterior distributions for ANPP and many PnET-II inputs obtained using the G-HAT predictions largely matched posteriors obtained using field data. Since empirical growth models are often more readily available than extensive field data sets, the method represents a potential gain in efficiency for reducing the uncertainty of process-based model predictions when reliable empirical models are available but high-quality data are not.     

Copper distribution in chemical soil fractions and relationships with maize crop yield

Agricultural practices can lead to copper accumulation in soils and at high concentration it can become toxic for plants. One common toxic effect of copper on plants is a decrease of crop yield. Here, we studied 1) the crop yield of maize grown on plots of a soil intentionally enriched with copper sulphate and 2) the possible relationship between the copper concentration in chemical soil fractions and the maize crop yield. Anthropogenic copper is mainly bound to manganese oxides, to iron oxides and to the organic matter. Maize (Zea maize L.) was grown on outdoor experimental plots. The crop yield was evaluated for three development stages: the 6–10 leaf stage, the female flowering stage and the maturity stage, 2, 4 and 6 years after the soil copper enrichment. Strong crop yield reductions, proving a toxic effect of copper on maize growth were noted 2 years after the copper input at the maturity stage and 4 years after the copper input at the 6–10 leaf stage. Variations in maize crop yield are described with linear multiple regression equations including the variable copper content in soil, and other variables when needed such as soil pH, soil organic carbon level and the climatic variables, the precipitation rate and the ambient temperature. The crop yield study at the 6–10 leaf stage and at the female flowering stage does not provide significant regression equations, while the crop yield study at the maturity stage does. Request variables for the models are the total copper content or the copper bound to the organic matter and the meteorological data. Electronic Publication