Time‐lapse monitoring of soil water content using electromagnetic conductivity imaging

The volumetric soil water content (θ) is fundamental to agriculture because its spatiotemporal variation in soil affects the growth of plants. Unfortunately, the universally accepted thermogravimetric method for estimating volumetric soil water content is very labour intensive and time‐consuming for use in field‐scale monitoring. Electromagnetic (EM) induction instruments have proven to be useful in mapping the spatiotemporal variation of θ. However, depth‐specific variation in θ, which is important for irrigation management, has been little explored. The objective of this study was to develop a relationship between θ and estimates of true electrical conductivity (σ) and to use this relationship to develop time‐lapse images of soil θ beneath a centre‐pivot irrigated alfalfa (Medicago sativa L.) crop in San Jacinto, California, USA. We first measured the bulk apparent electrical conductivity (EC_a – mS/m) using a DUALEM‐421 over a period of 12 days after an irrigation event (i.e. days 1, 2, 3, 4, 6, 8 and 12). We used EM4Soil to generate EM conductivity images (EMCIs). We used a physical model to estimate θ from σ, accounting for soil tortuosity and pore water salinity, with a cross‐validation RMSE of 0.04 cm³/cm³. Testing the scenario where no soil information is available, we used a three‐parameter exponential model to relate θ to σ and then to map θ along the transect on different days. The results allowed us to monitor the spatiotemporal variations of θ across the surveyed area, over the 12‐day period. In this regard, we were able to map the soil close to field capacity (0.27 cm³/cm³) and approaching permanent wilting point (0.03 cm³/cm³). The time‐lapse θ monitoring approach, developed using EMCI, has implications for soil and water use and management and will potentially allow farmers and consultants to identify inefficiencies in water application rates and use. It can also be used as a research tool to potentially assist precision irrigation practices and to test the efficacy of different methods of irrigation in terms of water delivery and efficiency in water use in near real time.     

隔膜泵容积效率影响因素的灰色关联分析

分析了ＧＭ－１２０型单缸强制式隔膜泵容积效率的主要影响因素，用灰色关联分析的方法给出了这些影响因素的优势序列，为进一步改善隔膜泵的性能提供了依据。     

Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling

Florida is the largest producer of fresh-market tomatoes in the United States. Production areas are typically intensively managed with high inputs of fertilizer and irrigation. The objectives of this 3-year field study were to evaluate the interaction between N-fertilizer rates and irrigation scheduling on yield, irrigation water use efficiency (iWUE) and root distribution of tomato cultivated in a plastic mulched/drip irrigated production systems. Experimental treatments included three irrigation scheduling regimes and three N-rates (176, 220 and 230 kg ha⁻¹). Irrigation treatments included were: (1) SUR (surface drip irrigation) both irrigation and fertigation line placed right underneath the plastic mulch; (2) SDI (subsurface drip irrigation) where the irrigation line was placed 0.15 m below the fertigation line which was located on top of the bed; and (3) TIME (conventional control) with irrigation and fertigation lines placed as in SUR and irrigation being applied once a day. Except for the “TIME” treatment all irrigation treatments were controlled by soil moisture sensor (SMS)-based irrigation set at 10% volumetric water content which was allotted five irrigation windows daily and bypassed events if the soil water content exceeded the established threshold. Average marketable fruit yields were 28, 56 and 79 Mg ha⁻¹ for years 1-3, respectively. The SUR treatment required 15-51% less irrigation water when compared to TIME treatments, while the reductions in irrigation water use for SDI were 7-29%. Tomato yield was 11-80% higher for the SUR and SDI treatments than TIME where as N-rate did not affect yield. Root concentration was greatest in the vicinity of the irrigation and fertigation drip lines for all irrigation treatments. At the beginning of reproductive phase about 70-75% of the total root length density (RLD) was concentrated in the 0-15 cm soil layer while 15-20% of the roots were found in the 15-30 cm layer. Corresponding RLD distribution values during the reproductive phase were 68% and 22%, respectively. Root distribution in the soil profile thus appears to be mainly driven by development stage, soil moisture and nutrient availability. It is concluded that use of SDI and SMS-based systems consistently increased tomato yields while greatly improving irrigation water use efficiency and thereby reduced both irrigation water use and potential N leaching.     

Volumetric soil measures for routine soil testing

Abstract

The design, dimensiors and materials for constructing volumetric soil measures for routine soil testing use are presented. Scoop calibration techniques are also described. Reproducibility of results obtained under routine laboratory, conditions are shown. The measures include volumes of 1.0‐, 2.5‐, 5.0‐ and 10‐ cm³ respectively.     

不同固沙植被下沙丘土壤水分动态比较

以毛乌素沙地覆盖度>90%的油蒿、50%～60%的沙柳、35%～40%的樟子松固定沙丘为研究对象,流动沙丘为对照,采用自动监测系统实时监测降雨、0～200 cm土壤含水量及200 cm以下渗漏量,分析5—11月不同固沙植被下沙丘土壤水分动态差异,以期为固沙植被稳定性评价提供参考。结果表明:较低覆盖度樟子松与高盖度油蒿、沙柳相比更具固沙优势。3种固沙植被表层0～30 cm土壤水分受降雨影响大,对>20 mm降雨均产生响应;60～200 cm土壤水分时间变化特征存在差异,樟子松与对照变化趋势一致,油蒿和沙柳仅对40 mm降雨产生响应;0～200 cm土壤水分垂直变化没有相同规律,变异性较大,樟子松变幅最大,为(5.03±3.09)%;深层渗漏特征基本一致,均有极少量水分渗漏到200 cm以下。     

大规模植物场景绘制技术综述

大规模场景的快速绘制技术是虚拟现实、实时仿真等领域的关键技术。在农林业信息化发展进程中,植物场景的快速绘制技术对于农林业的发展有着深远的意义。但是由于植物模型固有的复杂性,以及农林业中大规模场景的要求,要实现实时绘制面临很多挑战。由于研究人员的不断努力,近年来在这一领域取得了丰硕的成果。回顾了该技术的发展历程,对其关键技术进行了分析和比较,最后对该领域的发展做出了总结和展望。     

植被和坡向对土壤温度与土壤热通量变化的影响

土壤温度是森林气候的重要因素,与植物的生长关系密切.不同坡度和坡向的林分,光照条件的差异使林内的土壤温度和土壤热通量发生相应的变化.为研究试验区不同林分水热平衡规律,本试验监测了林木生长季土壤和大气温度.结果表明:整个生长季的平均地温林外＞阳坡＞阴坡,6-10月不同土层温度的变化规律是先下降后上升;土壤不同土层间温度极...     

金属体积成形过程的无网格RPIM方法分析

建立了基于无网格径向点插值RPIM法的二维体积成形动态显式计算模型.采用具有Delta函数性质的RPIM形函数构造位移域，因此可以很方便地施加本质边界条件.基于防御节点法给出了二维接触碰撞问题的接触力计算方法，避免罚函数法罚因子选择问题，以及拉格朗日乘子法不适合显式算法的问题.采用完全拉格朗日格式和弹塑性本构关系解决金属体积成形过程所涉及的几何非线性和材料非线性问题，并通过将工件变形分解为偏量部分和体积部分，有效消除金属体积成形中的体积自锁现象.数值算例表明，该算法可方便准确处理大变形畸变问题，是模拟金属体积成形过程的一种有效方法.     

基于硬件加速的真三维显示体素化算法

提出了一种新的体素化算法，利用显示硬件支持二维光栅化算法和新的可编程控制功能，提高了体素化算法的效率。该算法通过逐层处理的方式将三维数据离散成为一系列的切片，利用硬件渲染完成切片的光栅化操作，将最终的光栅化结果组合成为体数据表达。算法利用可编程图形处理单元（GPU）的大规模纹理、动态顶点数据和灵活的纹理数据操作等特性，有效地降低了系统压力，提高了算法效能。实验证明，该算法满足真三维显示技术的要求。     

土壤容重对土壤供氮能力及棉花吸收利用氮素的影响

本文应用~(15)N示踪法研究不同土壤容重对土壤供氮能力及棉花吸氮的影响。阐明了丘陵黄棕壤地区棉花低产的原因是棉田土壤容重过大,使土壤的供氮能力——A_N值显著下降,棉株对氮素养分的吸收量减少,而且延缓了氮素养分由营养器官向生殖器官的转运。降低土壤容重是挖掘丘陵黄棕壤地区棉田增产潜力的有效施施。