Re-defining tillage erosion: quantifying intensity–direction relationships for complex terrain

Abstract. Current tillage erosion models account for the influence of tillage direction in the magnitude of the soil (tillage) transport coefficient. It is argued here that this is counter-intuitive and causes significant problems in modelling tillage erosion in areas of complex terrain. This article examines whether a re-modelling of tillage erosion is possible that separates tillage direction (an interaction with the landform) from the soil transport coefficient (a measure of tillage intensity representing the combination of implement erosivity and soil erodibility). Experimental data for mouldboard ploughing upslope, downslope and cross-slope at Coombe Barton Farm, Devon are examined. Integration of data for all directions into a single relationship, which relates translocation in the direction of tillage to slope in the direction of tillage and translocation perpendicular to tillage to slope perpendicular to tillage, is not possible using previously published methods of analysis. However, when total translocation distance is regressed against the tangent of the slope at 45° to the tillage direction (bisecting the tillage direction and the direction of overturning) it is found that a single relationship can be used to describe tillage in all three directions. Therefore, this relationship is used to determine a single value of the soil transport coefficient ( k _fTa) for constant soil and implement conditions but different tillage directions. This redefinition of tillage is important both for true estimation of tillage erosion severity, the adirectional coefficient being 40% larger than the directional coefficient, and for modelling of tillage erosion in complex terrain. These improvements are vital when tillage erosion simulation is used to direct soil conservation strategies.     

The effects of stubble burning and tillage on soil carbon sequestration and crop productivity in southeastern Australia

Abstract. In Australia, stubble burning and tillage are two of the major processes responsible for the decline of soil organic carbon concentration in cropped soils, and the resulting soil degradation. However, the relative importance of these two practices in influencing the soil organic carbon concentration and the long-term impact on soil quality and productivity are not clear. The effects of stubble burning as practised by farmers in southeastern Australia were evaluated in two field trials, one of 19 years duration, the other of 5 years. Conventional tillage (three tillage passes) led to greater loss of soil organic carbon than stubble burning. Loss of total soil organic carbon attributed to stubble burning in the 0–10 cm layer was estimated to be 1.75 t C ha⁻¹ over the period of the 19-year trial, equivalent to 29% of that lost due to tillage. In the 5-year trial, no change in soil organic carbon due to stubble burning was detectable. Changes in soil quality associated with stubble burning detected in the longer trial included a reduction in macro-aggregate stability, and increases in pH and exchangeable K⁺. Only the latter two were detected in the shorter trial. A higher mean wheat yield (average 0.15 t ha⁻¹) following stubble burning was observed in the 19-year trial but not in the 5-year trial. Research to monitor the longer term effects of stubble burning is needed, and to identify conditions where loss of soil organic carbon is minimized.     

基于NGO-CNN-SVM的高标准农田灌溉工程施工成本预测

为提高高标准农田项目施工成本的预测精度,控制施工成本在合理范围,减少投资风险,该研究从单体灌溉工程施工成本预测角度出发,通过随机森林（random forest,RF）筛选出高标准农田灌溉工程施工成本的关键影响因素,结合卷积神经网络（convolutional neural networks,CNN）和支持向量机（support vector machine,SVM）两种模型的优点,通过北方苍鹰优化算法（northern goshawk optimization,NGO）对模型里的惩罚因子和核参数进行寻优,构建基于NGO-CNN-SVM的施工成本预测模型。通过辽宁省2018—2023年高标准农田工程中灌溉工程的施工成本数据,选取样本决定系数R²、平均绝对误差MAE、平均绝对百分比误差MAPE和均方根误差RMSE作为精度指标进行分析,结果表明：基于NGO-CNN-SVM的施工成本预测模型在渠道工程中MAE低于0.615万元,RMSE低于0.512万元,R²达到0.968以上,相对误差小于4.210%;在进水闸工程中MAE低于0.610万元,RMSE低于0.536万元,R²达到0.966以上,相对误差小于4.410%;在桥涵工程中MAE低于0.494万元,RMSE低于0.477万元,R²达到0.970以上,相对误差小于3.548%,并相比较于反向传播神经网络,CNN和CNN-SVM模型,NGO-CNN-SVM模型的预测结果均最优。通过特征选择、模型融合、算法优化以及不同模型对比表明NGO-CNN-SVM模型具有更高的预测准确率和泛化性,可为高标准农田灌溉工程施工成本预测提供理论依据。     

水稻田间育秧水肥药变量喷灌装置设计与试验

为解决南方水稻工厂化田间育秧水肥药人工管理作业中存在的灌溉均匀性差、化肥和农药浪费以及劳动强度大等问题,该研究设计了一种水稻田间育秧水肥药变量喷灌装置,阐述了水肥药变量喷灌装置总体结构和工作原理,进行了关键部件设计与试验;以可编程逻辑控制器（programmable logic controller,PLC）为控制核心,构建了注肥量在线调控及整机变量喷灌控制系统。采用Box-Behnken试验设计方法,对装置喷灌均匀性与主要影响因素进行试验研究,应用单目标优化方法对喷灌关键参数进行优化,并通过验证试验,得到最优参数组合为：干管入口水压0.20 MPa、球阀开度90°、喷头喷角80°,此时装置的喷灌均匀性为92.69%;构建了氯化钾肥液质量浓度与电导率（electrical conductance,EC）值的线性模型,开展了装置变量灌溉施肥性能试验,3种喷灌等级下各作业区的肥液EC值分别为1.65、1.66和1.68 mS/cm,平均喷灌强度分别为900.85、1092.04和1263.67 mm/h,施肥均匀系数分别为85.21%、87.86%和91.62%。采用水肥药变量喷灌装置开展水稻育秧田间管理试验,华航51常规稻和广8优165杂交稻的秧苗长势均匀度均高于95%,成毯性良好,各项素质指标满足机插作业要求。所设计的水肥药变量喷灌装置能够满足水稻田间育秧水肥药变量喷灌作业要求,对提高水稻工厂化田间育秧机械化水平、保证秧苗质量具有实际应用价值。     

多组离合器参与的换挡过程混合建模与仿真

在分析多组离合器参与的自动变速器换挡过程特点的基础上,指出该换挡过程是由连续系统与离散系统组成的混合系统,进而提出基于键合图理论的连续系统和基于有限状态机的离散系统的换挡过程混合建模方法。在Matlab／Simulink和Matlab／Stateflow平台上建立了包含多种状态的东方红1302R型橡胶履带拖拉机液压机械无级变速器的换挡过程仿真模型,仿真结果表明该建模方法能很好地模拟自动变速器换挡过程中离合器的动态行为,并通过仿真分析了其对换挡品质的影响。     

柔性坐标测量机参数辨识方法

设计了一种六自由度关节式柔性坐标测量机,并对该测量机测量方程中的参数进行了辨识,提出了一种快速简易的单点锥窝标定方法。该方法基于单点锥窝提供的空间单点基准,利用非线性最小二乘中的高斯-牛顿法,求解测量机测量方程的参数值。实验结果表明,该方法能够有效提高测量机的整体精度,且操作简单、计算效率高。     

甲氧基丙烯酸酯类杀菌剂在我国的登记用量分析

为探究嘧菌酯与硒代蛋氨酸复合暴露后对水体生物早期发育的影响,采用半静态试验法,测定了等毒性配比的嘧菌酯和硒代蛋氨酸二元混合体系复合暴露对水生模式生物斑马鱼胚胎及仔鱼的发育毒性及对相关酶活性的影响。结果表明：经不同质量浓度的嘧菌酯和硒代蛋氨酸(0.1 + 0.2、0.25 + 0.5、0.5 + 1.0和1.0 + 2.0 mg/L) (其中硒代蛋氨酸按硒元素的质量计,下同)复合暴露后,胚胎出现自主运动次数减少、孵化率降低、死亡率增加及心率下降现象,同时仔鱼体长受到显著抑制,且呈现明显的时间-剂量-效应关系;与对照组相比,在嘧菌酯和硒代蛋氨酸不同质量浓度(0.0005 + 0.001、0.005 + 0.01和0.05 + 0.1 mg/L)复合暴露下,斑马鱼仔鱼体内过氧化氢酶(CAT)活性显著降低,且高浓度复合暴露组(0.05 + 0.1 mg/L)的抑制作用最显著(P < 0.01),而对超氧化物歧化酶(SOD)活性则无显著影响;与对照组相比,高浓度复合暴露组显著抑制了线粒体呼吸链复合体Ⅲ的活性(P < 0.05),而其余浓度复合暴露组差异不显著。研究结果表明,经嘧菌酯与硒代蛋氨酸不同质量浓度复合暴露(0.1 + 0.2、0.25 + 0.5、0.5 + 1.0和1.0 + 2.0 mg/L)后,会对斑马鱼胚胎及仔鱼发育产生毒性效应,但在目前自然水体环境实际浓度水平下,除了抑制CAT活性外,尚不会产生其他毒性效应。以上研究结果可以为水体环境中嘧菌酯和硒代蛋氨酸浓度监测及复合暴露的生态风险评估提供数据支撑。     

基于单片机与电话网的远程测控研究

在很多的行业、部门中,都存在着因为现场与能够处理数据的管理机构隔着较远的距离,或者因为现场无人值守而导致取得的第一手数据无法及时的进行上传,但是,又必须要定时的对部分现场数据进行及时的了解和传送,这样的话对现场的情况就能够起到实时监控或者准时监控的目的。这时,各行业部门中就非常需要得到一种能够满足该项要求的单片机数据采集及远程通信系统来提供可靠的技术支持。     

茶叶揉捻机棱骨安装的优化参数

用二元回归正交设计的试验方法加工三级杀青叶,建立了揉捻机的揉捻叶质量与揉捻机棱骨的安装根数及安装角度之间的数学模型。根据优化理论,求得棱骨的最佳安装根数为１２根,最佳安装角度为４２°。经验证,证明基本正确。