应用Excel软件分析敌敌畏农药对两广二号家蚕的安全间隔期

应用Excel软件中的曲线方程分析判断敌敌畏农药对两广二号家蚕的安全间隔期。结果表明：敌敌畏1000倍液的安全间隔期是6d多，其数学模型为幂函数曲线方：y=88．0653x-1834本方法克服以往家蚕的农药安全期无数学模型可循或使用的BASIC方法陈旧繁杂的缺点，也避免英文统计软件SPSS难以在农村普及的不足，是一种计...     

新疆南疆棉花品种试验分析

本研究收集新疆南疆大面积种植的56个棉花品种,对非抗虫棉、常规转基因抗虫棉、杂交抗虫棉F1及F2共4类品种的产量及纤维品质进行了比较分析。结果表明,转基因抗虫棉比非抗虫棉增产29.8%,差异达显著水平;杂交棉比常规棉平均增产4.6%,铃重增加0.38g,衣分提高0.91百分点,均未达到显著水平;杂交抗虫棉F1明显优于F2,主要表现在单株结铃性的显著提高导致产量显著提高,而且断裂比强度和纤维整齐度指数等主要品质指标显著提高。由于在河南安阳试验的密度与新疆有明显差异,其准确性需要在新疆高密度条件下继续验证。     

Functional porous carbons from waste cotton fabrics for dyeing wastewater purification

A new functional porous carbons (PC-WF) is prepared by activation-pyrolysis method use waste cotton fabrics (WF) as an abundant, cheap and available precursor for removal of Brilliant Crocein (BC-GR) and Cationic Red 2GL (CR-GL) from aqueous phase. The PC-WF was characterized by BET, FTIR, SEM, and XRD techniques, the surface area, total pore volume, average pore diameter was found as 1463.5 m² g^-1, 0.783 cm³ g^-1 and 2.14 nm, respectively. The influences on BC-GR and CR-GL adsorption of various experimental factors such as initial concentration and temperature were investigated. Adsorption kinetics was found to be best represented by the pseudo-second order model. The adsorption capacity was 319.8 mg g^-1 for BC-GR and 842.5 mg g^-1 for CR-GL at 30 °C, respectively. The results indicate that for waste cotton fabrics in particular, the practical application of this process to the production of porous carbon would be possible.     

连云港口岸国际航行船舶截获植物有害生物情况分析与建议

为强化对国际航行船舶的检疫监管,降低植物有害生物传入风险,本文对"十二五"期间连云港口岸国际航行船舶截获植物有害生物的情况进行了统计,掌握了截获有害生物的种类,分析了影响截获的主要因素,并提出相应的检疫对策。     

饮料工艺学课程教学改革探讨

饮料工艺学是高校食品类专业的主干专业特色课程,是食品工艺学的一个分支,也是一门应用性很强的科学。主要分析了饮料工艺学课程教学过程中在教学内容、教学方法及教学方式上存在的主要问题,并针对这些问题进行了改革探讨。通过对教学内容进行更新,对教学方法进行改善和对教学方式进行改革,以提高学生的学习效果,培养学生的综合能力,从而达到提高饮料工艺学课程教学效果的目的。     

Characterizing long-term forest disturbance history and its drivers in the Ning-Zhen Mountains,Jiangsu Province of eastern China using yearly Landsat observations (1987–2011)

Forest losses or gains have long been recognized as critical processes modulating the carbon flux between the biosphere and the atmosphere. Timely, accurate and spatially explicit information on forest disturbance and recovery history is required for assessing the effectiveness of existing forest management. The major objectives of our research focused on testing the mapping efficacy of the vegetation change tracker (VCT) model over a forested area in China. We used a new version of VCT algorithm built upon the Landsat time series stacks (LTSS). The LTSS consisted of yearly image acquisitions to map forest disturbance history from 1987 to 2011 over the Ning-Zhen Mountains, Jiangsu Province of east China. The LTSS consisted of TM and ETM+ scenes with different projections due to distinct data sources (Beijing remote sensing ground station and the USGS EROS Center). The validation results of the disturbance year maps showed that most spatial agreement measures ranged from 70 to 86 %, comparable with the VCT accuracies reported for many places in USA. Very low accuracies were identified in 1995 (38.3 %) and 1992 (56.2 %) in the current analysis. These resulted from the insensitivity of the VCT algorithm to detect low intensity disturbances and also from the mis-registration errors of the image pairs. Major forest disturbance types existing in our study area were identified as agricultural expansion (39.8 %), urbanization (24.9 %), forest management practice (19.3 %), and mining (12.8 %). In general, there was a gradual decreasing trend in forest cover throughout this region, caused principally by China’s economic, demographic, environmental and political policies and decisions, as well as some weather events. While VCT has largely been used to assess long term changes and trends in the USA, it has great potential for assessing landscape level change elsewhere throughout the world.