基于Copula 函数的边坡可靠度高效分析方法

将Copula函数与高效蒙特卡洛方法结合,提出了含相关随机变量的边坡可靠度高效分析方法。以两个岩质边坡稳定性问题为例验证了所提方法的有效性。结果表明,该方法相比于直接蒙特卡洛方法在保证边坡失效概率的准确性的同时计算效率更高。Copula函数可以构造出具有不同相关结构的岩土体参数的联合概率分布,与高效蒙特卡洛方法(即蒙特卡洛重要抽样方法和子集模拟)结合能高效地处理含多种相关随机变量的边坡可靠度计算问题,相比于现行的Nataf变换方法结果更能体现岩土边坡真实稳定性。此外,该方法也能高效地计算含有复杂的隐式功能函数的边坡可靠度,研究成果拓展了高效蒙特卡洛方法在边坡可靠度分析中的应用。     

基于超星学习通的混合式教学模式应用研究——以发酵工程课程为例

为了提高发酵工程课程的教学质量和教学效果,针对发酵工程课程的内容和特点,将互联网+技术与教学相结合,进行了基于超星学习通平台的混合式线上线下教学方式的改革,结果表明:在增强了学生自主学习能力的同时,也促进了教师的自我提升。     

甘肃省草地植被NDVI时空变化特征及驱动因素研究

本文基于甘肃省2000—2019年归一化植被指数（normalized different vegetation index，NDVI）数据及气象数据，研究了甘肃省草地NDVI时空变化特征及驱动因素。结果表明：近20年，生长季草地NDVI整体水平较低但呈波动上升趋势，增速为0.030·（10a）^-1，草地NDVI分布呈现东南高西北低的格局；20年间生长季NDVI呈显著增加趋势的面积占甘肃省草地的19.08%，主要分布在陇中黄土高原；甘南高原和祁连山地生长季NDVI保持稳定，其中高寒草甸NDVI整体较高且稳定性较强；生长季草地NDVI受夏季降水量的影响较大；人类活动主要促进了草地NDVI的增长。整体而言，甘肃省草地NDVI呈现增长趋势且稳定性较高，降水量对草地NDVI的影响较强。另外，生态工程也促进了草地NDVI增长，需长期实施。     

水流作用下临水岸坡稳定性计算模型

河流崩岸是我国堤防安全面临的重大问题,汛期前后崩岸诱发大量的滑体进入河道,影响航运,给沿岸人民正常生产生活带来重大影响。针对水流作用下临水岸坡失稳问题,综合考虑坡表静水压力、内部孔隙水压力、边坡几何形状等因素的影响,构建了楔形岸坡稳定计算模型,并结合长江干流芙蓉大堤段崩岸实例,分析了各因素对岸坡稳定的作用。结果表明,坡表与地下水位升降及二者之差,对岸坡稳定影响较大,且水流的淘刷深度也直接影响着岸坡整体稳定。     

不同植被措施下排土场边坡细沟发育时空特征

为明确不同恢复年限植被措施对煤矿排土场边坡水土流失的防治效应,采用样方调查法,以内蒙古准格尔旗永利煤矿矿区排土场边坡为研究对象,以裸露边坡(CK)为对照,研究不同恢复年限(1a、3a、5 a)的沙柳方格+沙棘+沙打旺(SHA)和沙柳方格+沙打旺(SA)2种措施对细沟发育的影响。结果表明:(1)1a时CK、SHA与SA措施细沟宽度均集中分布在4～8 cm,细沟深度均集中分布在2～4 cm;3 a时CK、SHA与SA措施细沟宽度则集中分布在4～8 cm、8～12 cm、4～8 cm,细沟深度均集中分布在4～6 cm;5 a时CK与SHA措施细沟宽度均集中分布在8～12 cm,而细沟深度则集中分布在4～6 cm和8～14 cm;(2)CK(1～5 a)、SHA措施(1～5 a)和SA措施(1～3 a)的细沟平均宽分别为7.57～11.35 cm、7.58～13.31 cm和5.57～6.14 cm,细沟平均深分别为3.38～6.23 cm、4.19～10.34 cm、2.59～4.24 cm,三者的细沟平均宽深比分别为2.39、2.12和2.05,平均细沟密度分别为1.52～5.25 m·m–2、1.42～1.68 m·m–2和1.88～2.25 m·m–2;(3)1 a时CK、SHA和SA措施的细沟宽深比随坡长变化幅度较大,随着恢复年限增加,宽深比则呈下降趋势,CK、SHA措施和SA措施的细沟密度和细沟侵蚀量均随坡长增加呈增大趋势;(4)与CK相比,1 a时SHA和SA措施边坡细沟侵蚀模数分别减小25.0%和25.86%,两种措施减蚀效果差别不大,而3 a时则分别减小了61.73%和35.31%,SHA措施减蚀效果显著增强。研究结果可以为矿区排土场边坡的植被合理布设提供科学依据与理论指导。     

土壤管理措施对坡耕地侵蚀退化耕层的恢复作用

【目的】紫色土坡耕地土壤侵蚀严重,研究土壤管理措施对不同侵蚀程度坡耕地耕层侵蚀恢复作用,为紫色土坡耕地耕层质量调控和坡耕地持续利用提供理论及实践依据。【方法】采用单因素方差分析（One-way ANOVA）检验各指标的差异显著性,研究不施肥（CK）、施化肥（F）、施生物炭+化肥（BF）3种土壤管理措施对侵蚀0 cm（S_-0）、侵蚀5 cm（S_-5）、侵蚀10 cm（S_-10）、侵蚀15 cm（S_-15）、侵蚀20 cm（S_-20） 5个不同侵蚀程度坡耕地耕层土壤属性的恢复作用。【结果】（1）随侵蚀程度增加,土壤砂粒含量由38.1%—42.4%逐渐增至44.2%—46.4%,土壤黏粒含量由12.6%—14.8%逐渐减少至9.6%—11.0%;与S_-0、S_-5、S_-10相比,S_-15、S_-20土壤容重显著增大;S_-10侵蚀程度下,土壤抗剪强度最大,在8.71—9.56 kg·cm^-2之间;F、BF处理下S_-15侵蚀程度的土壤稳定入渗率、平均入渗率降幅均最大。（2）不同管理措施下坡耕地耕层土壤属性差异显著,BF处理下土壤砂粒含量小、黏粒含量最大,0—10 cm、10—20 cm土层土壤容重显著低于CK（P<0.05）,土壤总孔隙度、毛管孔隙度均显著高于CK、F处理;BF处理下土壤初始入渗率、稳定入渗率、平均入渗率均最大,CK处理最小;与CK处理相比,BF处理土壤抗剪强度显著增大。（3）随侵蚀程度增加,土壤可蚀性K值显著下降,与S_-0相比,S_-20侵蚀程度下土壤可蚀性K值下降0.1960%—0.2192%;BF处理下土壤可蚀性K值最大,F处理次之,CK最小;S_-10侵蚀程度下F、BF处理的K值均较CK增加幅度最大,分别增加0.0684%、0.1404%。【结论】施加生物炭+化肥在改善土壤物质组成、结构特征、提高土壤蓄渗性能等方面较单施化肥效果更为显著,可有效减轻紫色土坡耕地耕层土壤侵蚀,对侵蚀10 cm条件下的坡耕地耕作层（0—20 cm）土壤的改良效果最佳。     

不同自然通风方式对日光温室性能的影响

为探究不同自然通风方式下日光温室室内环境因子的变化规律,提高日光温室自然通风效率,设计2种不同自然通风方式:后坡整体开窗式和后坡间隔开窗式。将分别采用后坡整体开窗式和后坡间隔开窗式通风方式的温室,依次记为G1、G2,并以传统顶通风式日光温室(G3)为对照,对上述3座采用不同自然通风方式的温室内部环境和作物生长状况进行了研究。结果表明:晴天白天,G1、G2的室内光照强度分别比G3提高了26.34%和10.16%,G1、G2、G3平均气温分别为33.7、33.8、34.8℃,平均相对湿度分别为47.15%、47.21%、44.03%,风速折减率分别为0.80、0.74、0.90;晴天13:00,G1、G2的植物冠层气温分布呈现南高北低,而G3的呈南低北高分布。G1、G2内的番茄产量分别比G3提高了19.54%、6.90%。综上,后坡整体开窗式表现最优。     

王正非林火蔓延模型改进研究

王正非林火蔓延模型是目前国内比较先进的森林火灾蔓延模型,但是由于林火行为的复杂性,此模型在准确率和普适性方面仍存在许多不足。本文结合已有的成果进一步改进王正非模型,增加了可燃物湿度对林火蔓延速度的影响,改进了林火初始速度的计算方式。针对各种坡度对林火蔓延行为的影响给出了一个计算公式。与改进前相比,改进后的模型使其对林火蔓延情况的预估更为精准。     

The future of genetic engineering to provide essential dietary nutrients and improve growth performance in aquaculture: Advantages and challenges

Advancements in gene technology in recent years have been driving the aquaculture industry forward. Improvements in growth performance, feed efficiency, and omega‐3 content are goals of the industry that could capitalize on applications of genetic engineering. One of the major challenges in the industry is to reduce the use of fish meal and oil, to improve the environmental and economic sustainability of aquaculture. The recent development of genetically engineered feed ingredients is one potential solution to the looming problem of fish meal and oil dependency. Furthermore, the development of transgenic fish has potential to improve production efficiency and other future desirable characteristics that relate to feed utilization and product quality. New gene technologies are beginning to revolutionize how we produce our food, and in aquaculture, will ultimately reduce pressure on wild fish stocks, help to preserve natural aquatic ecosystems, and improve nutritional profiles of farmed fish for human consumption. The purpose of this review is to provide an update on the current applications of genetic engineering technology to improve aquaculture through nutrition, including the development and use of transgenic feed ingredients, transgenic fish, and ultimately their impacts on nutrition, product quality, and consumers.     

Modelling soil erodibility in mountain rangelands of southern Kyrgyzstan

Soil erosion in mountain rangelands in Kyrgyzstan is an emerging problem due to vegetation loss caused by overgrazing. It is further exacerbated by mountain terrain and high precipitation values in Fergana range in the south of Kyrgyzstan. The main objective of this study was to map soil erodibility in the mountainous rangelands of Kyrgyzstan. The results of this effort are expected to contribute to the development of soil erodibility modelling approaches for mountainous areas. In this study, we mapped soil erodibility at two sites, both representing grazing rangelands in the mountains of Kyrgyzstan and having potentially different levels of grazing pressure. We collected a total of 232 soil samples evenly distributed in geographical space and feature space. Then we analyzed the samples in laboratory for grain size distribution and calculated soil erodibility values from these data using the Revised Universal Soil Loss Equation (RUSLE) K-factor formula. After that, we derived different terrain indices and ratios of frequency bands from ASTER GDEM and LANDSAT images to use as auxiliary data because they are among the main soil forming factors and widely used for prediction of various soil properties. Soil erodibility was significantly correlated with channel network base level (geographically extrapolated altitude of water channels), remotely sensed indices of short-wave infrared spectral bands, exposition, and slope degree. We applied multiple regression analysis to predict soil erodibility from spatially explicit terrain and remotely sensed indices. The final soil erodibility model was developed using the spatially explicit predictors and the regression equation and then improved by adding the residuals. The spatial resolution of the model was 30 m, and the estimated mean adjusted coefficient of determination was 0.47. The two sites indicated different estimated and predicted means of soil erodibility values (0.035 and 0.039) with a 0.05 significance level, which is attributed mainly to the considerable difference in elevation.