成型和灼烧温度对垃圾衍生燃料灰渣理化特性的影响

以生活垃圾衍生燃料(refuse derived fuel,RDF)为研究对象,通过挤压成型的RDF与非成型的RDF在600~1 100℃条件下灼烧,所产生的灰渣进行质量、粒径、化学成分等特性进行分析,探索RDF灰渣随温度变化的规律以及潜在的应用价值。研究结果表明,在1 000℃以下,RDF灰渣随着温度提高,灰分组分发生分解反应,主要是残余有机物、碳酸盐、硫酸盐的分解,灰渣粒径减小;当温度升至1 000℃以上,灰分组分发生化合反应,生成产物以复合硅酸盐为主,灰渣粒径增大甚至结块;灰渣在化学反应过程中,非金属元素C,Cl,S转化为气体化合物逸出主体,使灰渣质量减小;成型RDF灰渣晶体含量比非成型RDF高;成型RDF灰渣粒径比非成型RDF灰渣大。     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

Fish‐processing wastes as an alternative diet for culturing the minute rotifer Proales similis de Beauchamp

We evaluated the suitability of fish waste diet (FWD) for culturing the minute rotifer Proales similis through the observation of their population growth and particle size selective feeding. A total of five treatments either with Nannochloropsis oculata or FWD (0.75 and 0.50 g/L) or the combination of N. oculata and FWD were set up in triplicates. P. similis were cultured in diluted natural seawater (8 g/L salinity) and 26 ± 1°C with the diet treatments being applied randomly. We daily monitored the rotifer density, the number of bacteria and the water quality in all the cultures. The population density of P. similis increased exponentially in all treatments, while the mean growth in FWD 0.75 g/L was significantly higher (p < .05) than that in the control. Addition of N. oculata to FWD resulted to lowered P. similis population growth. Bacterial colony count was high in FWD and introduction of P. similis to the diet decreased their density. The estimated bacteria ingestion rates were generally in the range of 6.03 × 10²–1.24 × 10⁴ bacteria/rotifer/hr and there was a positive linear relationship between bacterivory and rotifer population growth. We also observed a shift in the particle size distribution with a reduction in the frequency and concentration of small‐sized particles (<2.5 μm) at day 6. These results accentuate the potential of fish‐processing waste as diet for culturing P. similis which feeds on bacteria and small particles (≤2.5 μm) that are by‐products of degradation of this diet.     

Intensive organic vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated management

Intensive vegetable production in greenhouses has rapidly expanded in China since the 1990s and increased to 1.3 million ha of farmland by 2016, which is the highest in the world. We conducted an 11‐year greenhouse vegetable production experiment from 2002 to 2013 to observe soil organic carbon (SOC) dynamics under three management systems, i.e., conventional (CON), integrated (ING), and intensive organic (ORG) farming. Soil samples (0–20 and 20–40 cm depth) were collected in 2002 and 2013 and separated into four particle‐size fractions, i.e., coarse sand (> 250 µm), fine sand (250–53 µm), silt (53–2 µm), and clay (< 2 µm). The SOC contents and δ¹³C values of the whole soil and the four particle‐size fractions were analyzed. After 11 years of vegetable farming, ORG and ING significantly increased SOC stocks (0–20 cm) by 4008 ± 36.6 and 2880 ± 365 kg C ha^?1 y^?1, respectively, 8.1‐ and 5.8‐times that of CON (494 ± 42.6 kg C ha^?1 y^?1). The SOC stock increase in ORG at 20–40 cm depth was 245 ± 66.4 kg C ha^?1 y^?1, significantly higher than in ING (66 ± 13.4 kg C ha^?1 y^?1) and CON (109 ± 44.8 kg C ha^?1 y^?1). Analyses of ¹³C revealed a significant increase in newly produced SOC in both soil layers in ORG. However, the carbon conversion efficiency (CE: increased organic carbon in soil divided by organic carbon input) was lower in ORG (14.4%–21.7%) than in ING (18.2%–27.4%). Among the four particle‐sizes in the 0–20 cm layer, the silt fraction exhibited the largest proportion of increase in SOC content (57.8% and 55.4% of the SOC increase in ORG and ING, respectively). A similar trend was detected in the 20–40 cm soil layer. Over all, intensive organic (ORG) vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated (ING) management.     

麻山药种植田沙壤土流动性离散元模型颗粒放尺效应

为简化麻山药-沙壤土复合体离散元模型，提高离散单元法在农业领域中的计算效率，以沙壤土为研究对象，在EDEM离散元软件中构建非球形颗粒，进行双目标参数标定试验，采用放大颗粒粒径方法，利用转鼓、坍塌与FT4流变仿真试验，从颗粒群动态堆积角、流动质量、流动速率以及能量等方面探究了颗粒放尺效应对颗粒群物理特性的影响。试验结果表明：干燥处理后的2 mm粒径沙壤土基质静态堆积角和动态堆积角平均值分别为32.16°和35.02°；与独立标定试验相比，双目标标定试验获得的仿真参数更具准确性与唯一性；在动态堆积角试验中，真实沙壤土颗粒在转鼓中所形成的动态堆积角随粒径和旋转速度的增大而减小，而在仿真试验中，转鼓转速相同情况下，非球形颗粒群在增大粒径的情况下所产生的动态休止角差异较小；坍塌试验中，不同粒径颗粒群在流动过程中的流动质量与平均流速变化趋势基本一致，但误差随粒径增大而增大；颗粒质量相同时，将粒径分别放大2倍及4倍，颗粒数量同比减少87.24%、98.92%，仿真时间明显缩短，计算效率显著提高；FT4流变试验表明，当放尺因子S为2时，阻力FV及其力矩T随时间变化的拟合曲线值约为原尺时的2倍，而当放尺因子S为4时，与原尺相比，拟合曲线斜率差异显著，相关性明显降低。研究结果可为构建沙壤土离散元放尺模型提供理论依据，同时也可为农业工程离散元放尺仿真计算提供一定参考。     

川西高山树线交错带海拔梯度上土壤有机碳稳定性特征

高山树线交错带是高海拔地带对环境变化最为敏感的生态系统之一，土壤有机碳库及其稳定性在生态系统变化中具有显著指示作用。通过物理-化学方法对土壤不同活性有机碳进行连续分级分离，研究土壤有机碳不同组分在海拔环境梯度下分布特征及稳定性。结果表明，高山树线交错带土壤有机碳主要集中在物理分级组分（≥0.02 mm），且粒径越大有机碳含量越高，即主要以颗粒态有机碳形式存在，占比均高于98%；在<0.02 mm有机-无机复合体中有机碳采用化学分级分离，这部分有机碳占比低于土壤总有机碳2%，且主要以腐殖质（胡敏素）形式存在（占土壤总有机碳0.6%~0.8%），腐殖质占有机碳比例远低于一般土壤；随着海拔升高，土壤有机碳总量上升，颗粒态有机碳（物理分级组分）比例升高，胡敏素类腐殖质比例下降。因此，川西高海拔树线交错带的高寒土壤有机碳，主要以不稳定有机碳（POC）形式存在，随着温度上升（海拔降低）将导致土壤矿质化和腐殖化加剧，有机碳总量下降，土壤不稳定性组分（物理分级组分）降低，土壤稳定性（腐殖化比例）上升。     

基于粒子群算法优化光谱指数的甜菜叶片氮含量估测研究

为对甜菜叶片氮含量进行快速估测,利用高光谱成像仪获取甜菜冠层叶片高光谱图像数据,通过凯氏定氮法测定叶片氮含量。基于精细采样法在全波段范围内构建归一化光谱指数(Normalized difference spectral index,NDSI)和土壤调节光谱指数(Soil-adjusted spectral index,SASI),并提出了基于粒子群算法的植被冠层调节参数L优化方法,探寻任意波段组合下SASI的最佳L值及其变化规律。在筛选出特征光谱指数基础上,开展甜菜叶片氮含量的定量估测和可视化研究。结果表明,各生育期SASI对甜菜冠层叶片氮含量(Canopy leaf nitrogen content,CLNC)的敏感度高于NDSI,尤其在NDSI易发生饱和现象的近红外区域。相比常规光谱指数,叶丛快速生长期基于SASI1(R430. 20,R896. 76)和SASI2(R433. 03,R896. 01)建立的CLNC估测模型预测效果最优,2015年验证集R~2为0. 78,RMSE为2. 48 g/kg,RE为4. 18%;糖分增长期以SASI3(R952. 09,R946. 11)和SASI4(R760. 37,R803. 48)的建模效果最佳,2015年验证集R~2为0. 67,RMSE为2. 71 g/kg,RE为4. 72%;糖分积累期的最优建模参数为SASI5(R883. 30,R887. 79),2015年模型R~2为0. 72,RMSE为2. 54 g/kg,RE为4. 49%。为直观显示甜菜CLNC在时间和空间尺度上的变化规律,基于上述估测模型计算并生成甜菜CLNC的预测分布图,实现了甜菜CLNC的可视化。研究结果表明,提出的甜菜CLNC估测方法具有可行性,可为及时了解作物长势及营养估测提供技术支持。     

艾比湖湿地不同盐渍化土壤粒度组成及可蚀性研究

为了研究内陆干旱区不同盐渍化土壤的粒径组成及其可蚀性的空间分布,在不同盐渍化程度上探讨其与土壤中盐分含量的相互关系,本研究以新疆维吾尔自治区艾比湖湿地为研究靶区,利用2015年5月获取的66个表层土壤样品,对土壤的粒度组成、含盐量、分形维数和可蚀性因子K值进行了研究。结果表明:样品中盐土占比达到59.09%,平均含盐量达131.59 g/kg,研究区内盐渍化现象既普遍又严重;土壤颗粒以粉粒和砂粒为主,随着盐渍化程度的加剧黏粒含量不断增加,砂粒含量则相反;土壤颗粒的分形维数D值介于2.14~2.60,平均值为2.45;随着盐渍化程度加剧,分形维数逐渐变大,K值也随之逐渐增大,盐土的K值最大达0.093;土壤可蚀性因子K值与含盐量的相关性较高(r=0.596**),在一定程度上可以说明,土壤的含盐量水平越高,K值越大,越容易被侵蚀。