Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Intercropping, drip irrigation, and the use of plastic mulch are important management practices, which can, when utilized simultaneously, increase crop production and save irrigation water. Investigating soil water dynamics in the root zone of the intercropping field under such conditions is essential in order to understand the combined effects of these practices and to promote their wider use. However, not much work has been done to investigate soil water dynamics in the root zone of drip-irrigated, strip intercropping fields under plastic mulch. Three field experiments with different irrigation treatments (high T1, moderate T2, and low T3) were conducted to evaluate soil water contents (SWC) at different locations, for different irrigation treatments, and with respect to dripper lines and plants (corn and tomatoes). Experimental data were then used to calibrate the HYDRUS (2D/3D) model. Comparison between experimental data and model simulations showed that HYDRUS (2D/3D) described different irrigation events and SWC in the root zone well, with average relative errors of 10.8, 9.5, and 11.6 % for irrigation treatments T1, T2, and T3, respectively, and with corresponding root mean square errors of 0.043, 0.035, and 0.040 cm³ cm^?3, respectively. The results showed that the SWC in the shallow root zone (0–40 cm) was lower under non-mulched locations than under mulched locations, irrespective of the irrigation treatment, while no significant differences in the SWC were observed in the deeper root zone (40–100 cm). The SWC in the shallow root zone was significantly higher for the high irrigation treatment (T1) than for the low irrigation treatment, while, again, no differences were observed in the deeper root zone. Simulations of two-dimensional SWC distributions revealed that the low irrigation treatment (T3) produced serious severe water stress (with SWCs near the wilting point) in the 30–40 cm part of the root zone, and that using separate drip emitter lines for each crop is well suited for producing the optimal soil water distribution pattern in the root zone of the intercropping field. The results of this study can be very useful in designing an optimal irrigation plan for intercropped fields.     

抗旱保水剂应用特性的实验研究

应用抗旱保水剂是近年来发展较快的一种非工程节水灌溉措施，在实际应用中，土、肥、水等多种因素对保水剂持水能力有很大影响。通过大量试验，对保水剂在各种应用条件下的持水特性进行了定性研究，提出了应用保水剂应注意的问题及若干建议。     

轧花机变频调速参数自调整模糊控制系统

通过对ＭＹ－１２１轧花机的内部结构及工作原理的研究，指出现行籽棉物流控制系统的不足，研制了模糊智能变频调速系统，控制方案已在计算机上实现，并用于棉厂实时控制，该模糊控制系统运行结果是令人鼓舞，极大地改善了控制精度，稳定了扎花生产。     

单缸柴油机双喷油器燃烧系统

对单缸柴油机双喷油器直喷燃烧系统进行了研究，分析了供油系统油管分叉夹角及截面收缩比、燃烧室油线布置及几何形状的优化原则。采用该燃烧系统，可增加燃油喷注在燃烧室内的自由贯穿长度，减少对进气涡流的依赖，促进混合气形成和燃烧；可降低气缸盖及活塞的热负荷；由于进、排气门中心线与气缸中心线处于同一平面，故气门流通面积大，可以改善进排气流动性能；可实现先缓后急的喷油规律。     

微波辅助生物质焦炭诱导甲苯裂解和重整试验

选用甲苯模拟焦油芳香环物质,研究微波辅助生物质焦炭诱导甲苯裂解和重整反应规律、产物特性和焦炭变化。试验结果表明,焦炭对甲苯裂解有催化作用,微波环境易于甲苯裂解。甲苯裂解率和氢气选择性与温度正相关,750℃是适宜的温度选项,此温度下裂解率与氢气选择性分别为92.77%和91.94%,此后无明显变化。通入CO2促使甲苯重整制备合成气,700℃最高转化率92.03%和最大合成气收率91.30%均在CO2流量为80 m L/min时实现,H2/CO值随CO2流量的加大而降低直至0.22。通入CO2导致焦炭碳质量变化率增加,700℃最高达5.42%,此部分碳转化合成气,对合成气产率的贡献率最高可达15.40%。通入CO2可减缓积碳对甲苯转化的不利影响。     

装载机工作装置横梁安装可行域CAD

建立了装栽机工作装置横梁安装可行域ＣＡＤ（计算机辅助设计）数学模型，编制了相应的绘图程序，绘图结果为实际设计提供了理论依据。     

防旱减灾经济效益计算方法初探

利用大量的统计资料，研究了防旱减灾经济效益的计算方法，其中重点提出了临时抗旱措施的经济效益计算方法，可供今后计算抗旱效益时应用和参考。     

玉米收获机拉茎辊的改进设计

针对摘穗板-拉茎辊组合式摘穗装置在玉米收获过程中存在的问题,对拉茎辊进行改进设计。改进后的拉茎辊叶片轴采用无缝钢管经模具拉伸成型,整个叶片轴是一体的,叶片棱面为圆弧结构,并且将叶片轴后端与销轴连接的卡槽尺寸加大,加装金属耐磨套。该改进方案解决了传统拉茎辊易开焊、振动大、寿命短等问题。利用Solid Works软件对改进后拉茎辊进行有限元分析得知:应力和最大应变主要分布在拉茎辊后端的U型槽内,最大位移分布在叶片棱上,都在材料的变化范围内,改进方案合理。     

稻田水体碳氮稳定同位素组成与时空变化研究

利用稳定同位素技术研究了稻田沟渠、池塘、湿地等水体的碳、氮稳定同位素组成特征与时空变化。结果表明,水中颗粒性有机物(Particulate organic matter,POM)δ13C值(稳定性碳同位素比值)在-31.5‰~-24.3‰之间变化,平均值为-27.7‰,可能主要来自于浮游植物和浮游动物的贡献。POM稳定性碳同位素比值存在明显的季节变化,呈现出春、夏季高于秋、冬季的趋势。浮游动物与POM稳定性碳同位素比值之间的时空变化存在一定的相关性,说明研究区内浮游动物对内源有机碳的利用可能主要来自POM。颗粒性有机物δ15N存在秋、冬季高于春、夏季的趋势,但空间差异不显著,其中湿地的变化幅度相对较大(3.2‰~6.3‰),δ15NPOM平均值为4.1‰,说明研究区固氮作用较小,外源物的污染程度较低。     

深松旋耕全层施肥联合整地机施肥量影响因素分析

针对深松旋耕全层施肥联合整地机在作业过程中存在施肥不均、精度较低等现象,对影响施肥量因素进行分析,确定排肥轴转速、排肥器开度以及肥箱料位高度为影响因素,设计三因素五水平正交试验,以施肥量变异系数为评价指标,进行极差分析和方差分析得出影响因素主次顺序:肥箱料位高度>排肥轴转速>排肥器开度,其中料位高度对施肥量变异系数的影响高度显著,为后续肥箱肥料监测系统提供理论基础。施肥量变异系数在0.19%~3.12%之间,满足试验要求。运用最小二乘法建立施肥量关于排肥轴转速、排肥器开度和肥箱料位高度之间的数学模型。经检验:数学模型值与实测值的相关系数达到0.889,可以作为施肥精量控制相关技术参数的选择依据。