Effect of soil pore size distribution on plant-available water and least limiting water range as soil physical quality indicators

Soil pore size distribution(SPSD) is one of the most important soil physical properties. This research investigated the relationships of location and shape parameters of the SPSD curves with plant-available water(PAW) and least limiting water range(LLWR) of the light-textured soils at the Torogh Agricultural Research Station in north-eastern Iran. Soil moisture release curve(SMRC), PAW and LLWR in matric heads of 100 and 330 h Pa for the field capacity and location and shape parameters of the SPSD curves of 30 soils with different texture and organic carbon contents were determined, and the variable relationships were statistically analyzed. The results showed that the median equivalent pore diameter(de), mean de, standard deviation(SD*), and skewness of the SPSD curves were significantly correlated with PAW(PAW330) and LLWR(LLWR330) measured in a matric head of 330 h Pa. Decrease in deand increase in the diversity of soil pore size(SD*) increased PAW330 and LLWR330. The SD* values of all the soil samples were lower than the optimal ranges suggested in literature. Neither PAW nor LLWR values were significantly different in the soils with the optimal modal deand those with non-optimal modal de. Optimal values of median and mean equivalent pore diameters and kurtosis of SPSD curves led to a significant improvement of PAW330 and LLWR330 as soil physical quality indicators. It was recommended to revise the optimal ranges for SD* and modal defor future studies.     

昕水河流域径流变化及其对气候和人类活动的响应

开展流域尺度气候变化和人类活动对径流的影响研究是科学制定流域综合管理规划,并实现流域可持续管理的基础。以黄土高原丘陵沟壑区的典型流域——昕水河流域为研究对象,结合流域多年(1958—2015年)气象水文数据,采用M-K趋势检验法分析年降水、年潜在蒸发散和年径流量的变化趋势,运用双累积曲线法分析年径流量序列的突变年份,并根据生态水文分析法与水量平衡原理定量解析流域尺度气候变化和人类活动对年径流的影响。结果表明:1958-2015年,流域年径流量变化呈显著下降趋势(Z=-5.84,p<0.0001),而降水(Z=-0.72,p=0.31)和潜在蒸散发(Z=-0.5,p=0.88)变化趋势不显著。双累积曲线法表明径流量突变点为1974年和2000年,其中,1975—2000年间影响径流减少的主要因素是气候变化,气候变化导致径流量减少的贡献率为73.14%,土地利用方式仅为26.86%;而2001—2015年土地利用变化是影响径流减少的主要原因,其贡献率高达103.81%,可见土地利用变化已成为昕水河流域径流量变化的主要驱动因素。在今后的流域治理中,需合理制定土地利用方案,实现昕水河流域水土资源协调发展。     

饱和度及干密度对弱膨胀土土水特征曲线影响

采用滤纸法测量不同干密度下试样的总吸力与基质吸力,并绘制相应的土水特征曲线,分析饱和度与干密度对土水特征曲线的影响.实验结果表明:在饱和度一定时,总吸力与基质吸力均随干密度的增大而增大;随饱和度增大,不同干密度的总吸力差值和基质吸力差值逐渐减小;另外,试样的排水速率随饱和度的增大而减小,且干密度越大,排水速率越慢.在较低含水率时,试样的总吸力和基质吸力随干密度的增大而增大,随含水率的增大,干密度对总吸力和基质吸力的影响逐渐弱化.     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.     

基于SPSS软件对水稻育秧土水分测定结果的拟合和修正

现采用TK100多功能水分测定仪对水稻育秧土进行水分测定。通过SPSS21.0软件,以TK100多功能水分测定仪测定的含水率为自变量,实际含水率(烘干法测得育秧土含水率)为因变量进行曲线拟合,并对拟合出的三种方程相关系数R、回归显著性检验的F值以及F值的显著水平P值进行对比分析,得出最优拟合曲线方程y=2.84-0.05x+0.007 25x2。在验证试验中,拟合函数计算出的含水率与烘干法测得的含水率配对t检验结果无显著差异,拟合曲线恰当、准确。     

不同种植密度条件下单混种作物的生长曲线

代谢比例理论(Metabolic Scaling Theory)认为,植物小个体或幼苗的生物量和物质能量代谢速率之间的异速生长指数为1,而随着植物个体的逐渐增大,其代谢异速生长指数逐渐趋近于3/4。2012年,Deng等基于代谢比例理论建立了植物小个体的动态生长模型。然而,对于受到种内或种间不同竞争压力的植物个体来说,其生长过程无疑将受到邻体竞争的影响,他们是否仍然遵循上述植物小个体的动态生长模型尚不得而知。本研究针对此科学问题选取了春小麦(Triticum aestivum)、胡麻(Linum usitisimum)、玉米(Zea mays)3种作物分别进行两两组合混合种植以及单独种植,种植密度分别为高、中、低3种不同密度梯度;在作物出苗至成熟期间,分别对株高、基茎、冠幅、生物量、以及不同时期样方植物密度共进行6次跟踪测定。通过对Deng等建立的植物小个体动态生长模型的拟合分析,发现在种植密度梯度下不论单种还是混种,其植物个体的生长曲线均符合植物小个体动态生长模型,且具有相似生态位的物种混种条件下的个体生长状况要好于单种条件下的个体生长状况,而低密度条件下的生长状况亦显著优于中、高密度个体生长状况。总之,不同竞争压力下的植物个体,其生长速率和成熟大小虽有所变化,但其生长曲线均符合上述生长模型的预测。该研究不但对植物小个体生长模型和代谢理论的可靠性进行了进一步的验证,而且还使该理论的应用与发展得到进一步的完善。     

Genetic evaluation using random regression models with different covariance functions for test‐day milk yield in an admixture population of Thailand goats

The objectives of this study were to compare covariance functions (CF) and estimate the heritability of milk yield from test‐day records among exotic (Saanen, Anglo‐Nubian, Toggenburg and Alpine) and crossbred goats (Thai native and exotic breed), using a random regression model. A total of 1472 records of test‐day milk yield were used, collected from 112 does between 2003 and 2006. CF of the study were Wilmink function, second‐ and third‐order Legendre polynomials, and linear splines 4 knots located at 5, 25, 90 and 155 days in milk (SP25–90) and 5, 35, 95 and 155 of days in milk (SP35–95). Variance components were estimated by restricted maximum likelihood method (REML). Goodness of fit, Akaike information criterion (AIC), percentage of squared bias (PSB), mean square error (MSE), and empirical correlation (RHO) between the observed and predicted values were used to compare models. The results showed that CF had an impact on (co)variance estimation in random regression models (RRM). The RRM with splines 4 knots located at 5, 25, 90 and 155 of days in milk had the lowest AIC, PSB and MSE, and the highest RHO. The heritability estimated throughout lactation obtained with this model ranged from 0.13 to 0.23.     

MSM法优化材积方程的研究

一元材积表是根据胸径(D)与材积(V)的数学模型编制的林业用表。V=aD~b是编制一元材积表最常用的方程。由于上式是非线性的,过去常采用的方法是将该方程转化为线性拟合问题,但这里存在一个问题,非线性方程取对数转化为线性方程后,通过最小二乘法求得的参数对线性方程来说是最优的,而对原非线性方程而言,则误差较大,有进一步优化的必要。本文试图应用改进单纯形法,进一步优化V=aD~b方程的参数a、b,从而提高一元材积表的精度。     

测定活性炭对四氯化碳吸附值的新方法─—迎头色谱穿透曲线法

提出了一种快速测定活性炭对四氯化碳的吸附值新方法。详细介绍了测定的系统装置、控制条件和操作步骤；阐明了通过穿透曲线测定活性炭对四氯化碳吸附值的原理；分析了规定的四氯化碳吸附值的物理意义。该方法测定快速、操作简易，数据精度符合要求。