渔船用生物柴油减排的进化博弈分析

渔船污染排放是空气污染的一个重要来源,引起国际社会的广泛关注。生物柴油作为一种清洁的可再生能源,具有显著的减排效果。研究从进化博弈论的角度探讨了渔船应用生物柴油的减排策略,分析了有限理性的渔民之间、渔民和企业之间采取不同策略群体比例的动态变化,以及进行稳定策略的条件。研究认为,政府的补贴政策、渔业部门的监督检验和碳交易的有效实施,可以改变渔民的得益矩阵,引导渔民使用替代能源进行减排。对我国捕捞渔船进行了减排成本估算,结果表明,渔船发动机掺混5%的生物柴油将导致每船每年平均增加燃油成本近3 000元。如果政府能够制定生物柴油补贴政策,并建立有效的碳交易制度,在不增加成本的前提下,渔民会逐渐倾向采用生物柴油进行渔船减排。     

金光杏梅叶面积回归测算研究

以金光杏梅成熟叶片为试材,研究了叶长、叶宽与叶面积的关系.结果表明:叶长、叶宽与叶面积均呈正相关关系.叶长、叶宽与叶面积之间的相关系数分别为0.7084、0.8546,叶长和叶宽与叶面积的复相关系数为0.9868,在0.01水平下均达到了极显著水平.在此基础上建立了叶长(x1)、叶宽(x2)、叶长和叶宽与叶面积(y)之间的回归方程y=61.4140x1-2 480.6、y=28.7600x2-0.8546、y=17.6276x1+41.2594x2-1 078.4906,3个回归方程均可用于测算金光杏梅的叶面积,其中以叶长和叶宽与叶面积的二元回归方程测算结果更为精确.在具体应用中,可根据所要求的精确度进行选择.     

Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat

Development of crop coefficient (Kc), the ratio of crop evapotranspiration (ETc) to reference evapotranspiration (ETo), can enhance ETc estimates in relation to specific crop phenological development. This research was conducted to determine growth-stage-specific Kc and crop water use for cotton (Gossypium hirsutum) and wheat (Triticum aestivum) at the Texas AgriLife Research field at Uvalde, TX, USA from 2005 to 2008. Weighing lysimeters were used to measure crop water use and local weather data were used to determine the reference evapotranspiration (ETo). Seven lysimeters, weighing about 14 Mg, consisted of undisturbed 1.5 m × 2.0 m × 2.2 m deep soil monoliths. Six lysimeters were located in the center of a 1-ha field beneath a linear-move sprinkler system equipped with low energy precision application (LEPA) and a seventh lysimeter was established to measure reference grass ETo. Crop water requirements, Kc determination, and comparison to existing FAO Kc values were determined over a 2-year period on cotton and a 3-year period on wheat. Seasonal total amounts of crop water use ranged from 689 to 830 mm for cotton and from 483 to 505 mm for wheat. The Kc values determined over the growing seasons varied from 0.2 to 1.5 for cotton and 0.1 to 1.7 for wheat. Some of the values corresponded and some did not correspond to those from FAO-56 and from the Texas High Plains and elsewhere in other states. We assume that the development of regionally based and growth-stage-specific Kc helps in irrigation management and provides precise water applications for this region.     

Estimating reference evapotranspiration with atmometers in a semiarid environment

Reference evapotranspiration (ET₀) estimations require accurate measurements of meteorological variables (solar radiation, air temperature, wind speed, and relative humidity) which are not available in many countries of the world. Alternative approaches are the use of Class A pan evaporimeters and atmometers, which have several advantages compared to meteorological stations: they are simple, inexpensive and provide a visual interpretation of ET₀. The objectives of the study were to compare the evaporation from atmometers (ET_gage) with the evapotranspiration estimated by the FAO-56 Penman-Monteith equation (ET_0PM) and to evaluate the variability between three modified atmometers of a commercial model. Comparison between daily ET_gage measured by the atmometer and ET_0PM showed a good correlation. However, ET_gage underestimated ET_0PM by approximately 9%. Differences between ET_gage and ET_0PM ranged from −2.4 to 2.2 mm d⁻¹ while the mean bias error was −0.41 mm d⁻¹. Underestimations occurred more frequently on days with low maximum temperatures and high wind speeds. On the contrary, atmometer overestimations occurred on days with high maximum temperatures and low wind speeds. Estimates of ET₀ using the atmometer appeared to be more accurate under non-windy conditions and moderate temperatures as well as under windy conditions and high temperatures. Atmometers 2 and 3 overestimated the evaporated water by atmometer 1 with a maximum variability of cumulative water losses of 4.5%. A temperature-based calibration was performed to improve the atmometer accuracy, using maximum temperature as an independent variable, with good results.     

A discussion on and alternative to the Penman-Monteith equation

The Penman-Monteith (PMe) equation that estimates evaporation from leaf/canopy surfaces is based on a few approximations. Several authors discussed ensuing errors and suggested improvements. This paper reminds those discussions which ended in the early nineties. It compares linearized PMe− with non-linear iterative solutions and illustrates resulting deviations. It differentiates between deviations for daily and hourly evaporation rate estimates. The latter are found to be higher. It also demonstrates deviations obtained at two different altitudes above sea level. Considering present tendencies to refine evaporation estimates for practical purposes and making use of easily available methods for solving non-linear equations this paper offers a new method to estimate evaporation.In a first step, a simple algebraic term, the surface temperature control sum, is introduced to find approximate differences between air and evaporating surface (leaf, canopy) temperatures. It suggests to concentrate research on the r_s/r_a ratio. A new formula is derived for estimating leaf/canopy surface temperatures for non-water stressed plants.In a second step, the estimates of temperature differences are used to calculate evaporation estimates. This two-step approximation leads to appreciably smaller errors as compared to the PMe-solution over the full range of input parameters of agro-meteorological relevance. It is, however, less accurate than some of methods proposed in literature. The method is meant for practical application in agricultural water management.     

针板电极荷电液体射流不稳定性分析

基于荷电液体射流的模型和广义坐标下的Lagrange方程,建立了静电场作用下无粘性液体射流的色散方程,并对该方程进行了数值求解,分析了若干因素对荷电液体射流的轴对称模型和非轴对称模型的影响.研究结果表明:随着电场强度的增大,荷电液体射流的最大扰动增长率增大.低电压时静电场对轴对称射流的不稳定性有显著作用,电压逐渐升高时非轴对称模型逐渐占据主导地位,最终导致液滴的破碎;随着射流半径的减小,荷电液体射流的不稳定性增加,轴对称模型下射流半径的改变对射流不稳定性的影响比非轴对称模型小;不同的液体介质对荷电液体射流不稳定性的影响在非轴对称模型下表现得更为显著.     

基于特征线方程N—S方程非增量型分离算法

为克服传统有限元方法求解流场时由于对流项占优而引起的求解振荡和基函数选择困难的问题,推导了基于特征线方程的粘性不可压N-S方程的增量型和非增量型分离算法的公式及求解步骤,并讨论了两者的Babuska-Brezzi条件.沿着特征线方向,N-S方程的对流项消失,方程矩阵是自伴随矩阵,可以自动满足有限单元法中能量泛函最小的要求,并可以给出合理的粘性耗散项.动量方程的求解采用非增量型分离算法,压力和速度可以采用任意阶次的插值函数,离散后的方程自动满足Babuska-Brezzi条件.为验证算法的可靠性,采用T3P3空间等阶次U-p单元计算了方柱绕流.结果表明：基于特征线方程的非增量型分离算法可以很好地应用于粘性不可压流场的计算,与目前流行的其它方法相比,该算法有明显的优势.     

农业引进技术消化吸收模型及其演化仿真

对于农业技术的引进,必须综合考虑技术应用地区的经济发展状况、市场规模以及其他影响技术消化吸收的要素.农户人力资本均等程度较高但均值较低的地区应引进应用难度系数较低的中间技术或者原始技术;人力资本均值较高且方差较大的地区则应引进应用难度系数较大的尖端技术或者先进技术.农业引进技术消化吸收的进程取决于农业技术扩散,而农业技术扩散同时受两种效应影响,即学习效应和研发推动效应.在学习效应推动下,对于农户人力资本方差较大的经济,在技术扩散早期扩散速度较快,而在技术扩散后期则扩散速度较慢.另一方面,在研发推动下,对于人力资本方差较小的经济,技术扩散较快.     

白胡椒微波干燥特性及数学模型研究

利用功率分别为200、400、600、800W的微波对白胡椒进行干燥试验.试验结果表明,与传统晾晒干燥工艺相比,微波干燥胡椒的时间大为缩短,但干燥后的白胡椒易开裂,微波功率越大,品质越差;利用3种方程建立薄层白胡椒微波干燥模型,并进行比较分析,结果显示基于Page方程的白胡椒微波干燥模型变量间相关性大,模型具有极显著意义,方程拟合效果较合理.对不同功率微波干燥得到的白胡椒产品进行感官评价,结果表明采用微波干燥方法得到的白胡椒产品品质随微波功率的升高而变差.     

2种紫花苜蓿高温半致死温度与耐热性研究

运用电导率法对秋眠级不同的2个苜蓿品种“WL-525HQ”和“WL-232HQ”进行耐热性测定。叶片经梯度高温处理后,细胞伤害率呈“S”型曲线。通过Logistic方程拐点确定半致死温度,“WL-525HQ”和“WL-232HQ”的高温半致死温度分别为54.13 ℃和52.26 ℃,“WL-525HQ”的耐热性强于“WL-232HQ”,其结果与2种苜蓿的实际耐热趋势一致。