Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery

The accurate and efficient detection of the water depth of coral reefs through remote sensing imagery is crucial for navigation, marine engineering, and marine safety, among others. This study proposed a water depth inversion method that is processed using a two-step strategy. First, a log-dual-band ratio transform model is employed by combining blue, yellow, red, and red edge bands. Second, a multivariable linear regression model is constructed to determine water depth. The experimental study is conducted in a reef island in the South China Sea, and the WorldView-2 satellite data is used as the test data. Results demonstrated that the proposed method needs a few parameters in the model, and can effectively and reliably characterize the correlation between the spectral features and water depth.     

An integrated technology for gas control and green mining in deep mines based on ultra-thin seam mining

With the increasing demand for coal resources, coal mining has gradually entered into the deep strata of coal seams. Although the increase in mining depth improves energy security, it is associated with severe hazards, especially coal and gas outburst. Protective seam mining is an efficient method for gas control and has been widely used in major coal-producing countries. However, studies on deep ultra-thin protective seam (thickness 0.1–1 m, average thickness 0.5 m) mining and its related problems have been rarely reported. Focusing on the challenges resulting from deep mining (mining depth >1100 m) and the research gap, a coal and gas co-exploitation technique, which combines the gas control technology and green mining (including coal preparation and backfilling), has been proposed in this work. Significant benefits have been achieved in the twelfth coal mine of the Pingdingshan coalfield (study area) following the implementation of this technique. The application of the gas control technology markedly improved the gas drainage efficiency, promoted increased gas utilization, and reduced the greenhouse gas emission, providing notable economic and environmental benefits. In addition, implementation of green mining improved the coal quality, relieved the burden of the transport system, and, in particular, effectively prevented surface subsidence, thus protecting the ecological environment of the mining area, which offered significant economic, environmental, and social benefits. The practice in the twelfth coal mine could be used as a valuable example for coal mines with similar geological conditions.     

Fractural structure of thick hard roof stratum using long beam theory and numerical modeling

The thick hard rock (THR) roof of the long-wall mining face is prone to the large-sized cantilever roof, and its sudden fracture will cause serious rock dynamic disasters, such as coal and gas outburst and rockburst. In this study, based on the long beam theory, the initial fracture mechanical model for THR was established, and the first weighting characteristics and extreme fracture step distance were calculated. This study introduced a new technology called deep-hole pre-splitting blasting (DPB) which could break the THR by drilling holes with different depths and angles at different levels of roof rock and then blasting it. Field measurement analysis indicated that the immediate roof and lower thick hard strata were fully collapsed to fill the goaf, and the upper thick hard stratum was effectively cut off. The results showed that mechanical model and drilling holes method and DPB technique were so notably that would lead to a foundation for large-scale popularization and application in a Chinese Mine.     

Calibrating nonparametric cellular automata with a generalized additive model to simulate dynamic urban growth

Understanding factors that drive urban growth is essential to cellular automata (CA) based urban modeling. Multicollinearity among correlated factors may cause negative effects when building CA transition rules, leading to a decrease in simulation accuracy. We use a nonparametric generalized additive model (GAM) to evaluate these relationships through flexible smooth functions to capture the dynamics of urban growth. A GAM-based CA (termed GAM-CA) model was then developed to simulate the rapid urban growth in Shanghai, China from 2000 to 2015. GAM highlights the significance of each candidate factor driving urban growth during the past 15 years. Compared to logistic regression, the GAM-CA transition rules fitted the observed data better and yielded improved overall accuracy and hence more realistic urban growth patterns. The new CA model has great potential for capturing key driving factors to simulate dynamic urban growth, and can predict future scenarios under various spatial constraints and conditions.     

人肠道微生物对海带岩藻聚糖硫酸酯及其寡糖的降解利用

采用人肠道微生物体外厌氧发酵技术,研究人肠道微生物对不同分子量岩藻聚糖硫酸酯的降解利用。分别将五个志愿者的肠道微生物接种到以高分子量和低分子量岩藻聚糖硫酸酯为唯一碳源的培养基中,酵解48h后,采用TLC和PAGE分析分子量变化,PMP-HPLC分析单糖组成变化,GC分析短链脂肪酸的生成情况。结果发现:在人肠道微生物体外降解岩藻聚糖硫酸酯的体系中,岩藻聚糖硫酸酯寡糖和低分子量组分(10—20k Da)含量显著降低,而且酵解产物的单糖组成没有变化,说明被人肠道微生物彻底降解利用;而人肠道微生物对高分子量岩藻聚糖硫酸酯(20k Da)的降解和利用度很低,产物的半乳糖和甘露糖的比例明显下降。低分子量和高分子量岩藻聚糖硫酸酯在酵解后均生成短链脂肪酸乙酸、丙酸和丁酸,但在高分子量岩藻聚糖硫酸酯发酵液中还生成了支链脂肪酸(异丁酸、异戊酸)和戊酸。研究结果表明,人肠道微生物能够彻底降解利用复杂的海带岩藻聚糖硫酸酯寡糖和低分子量组分,但是对高分子量岩藻聚糖硫酸酯的降解率很低。单糖分析说明人肠道微生物能够降解和利用多糖中的所有单糖,产生有利于肠道健康的短链脂肪酸,但是只有低分子量岩藻聚糖硫酸酯能够抑制支链脂肪酸生成。     

求解弹性波方程的辛RKN格式

将弹性波方程变换至Hamilton体系,构造适用于弹性波模拟的高效显式二阶辛Runge-Kutta-Nystrm(RKN)格式,运用根数理论得到此格式的阶条件方程组.通过给定系数的限定条件,得到方程的对称解.为了使时间离散误差达到极小,提出数值频率与真实频率比较,通过Taylor展开,得到关于辛系数的限定方程,求解方程组得到最小频散辛RKN格式.对比分析时间演进方程的稳定性,得到使库朗数达到极大值的限定方程,求解方程组得到最稳定辛RKN格式.发现此两种格式为同一格式.新得到的辛RKN格式不依赖于空间离散方法,为了对比的需要,选取有限差分法进行空间离散.在频散、稳定性分析中,与常见辛格式对比,从理论上分析了本文提出的格式在数值频散压制、稳定性提升等方面的优势,数值实验进一步证实了理论分析的正确性.     

LiDAR点云生成DEM的水面置平方法研究与实现

以LiDAR激光点云数据为基础,分析了水面信息自动识别和置平处理的技术方法,并使用C#语言编程实现,取得了理想的效果,在实际DEM生产过程中得到了很好的应用。     

L1范数约束被动源数据稀疏反演一次波估计

对于被动源地震数据,运用常规的互相关算法得到的虚拟炮记录中,不仅含有一次波反射信息,还包括了表面相关多次波.然而,通过传统的被动源数据稀疏反演一次波估计(EPSI)方法,可以求得只含有一次波,不含表面相关多次波的虚拟炮记录.本文改进了传统的被动源数据稀疏反演一次波估计问题的求解方法,将被动源稀疏反演一次波估计求解问题转化为双凸L1范数约束的最优化求解问题,避免了在传统的稀疏反演一次波估计过程中用时窗防止反演陷入局部最优化的情况.在L1范数约束最优化的求解过程中,又结合了2DCurvelet变换和小波变换,在2DCurvelet-wavelet域中,数据变得更加稀疏,从而使求得的结果更加准确,成像质量得到了改善.通过简单模型和复杂模型,验证了本文提出方法的有效性.     

塔里木河流域农牧系统耦合协调度分析

种植业(农业系统中的小农业)和畜牧业是农业系统中的两大主要组成部分,其协调发展有利于现代农业的实现。塔里木河流域是新疆重要的农业生产区域,农牧耦合协调发展将有利于推动流域现代农业的进程,增加农牧民收入。在统计学"变异性系数"的基础之上对其进行改良,构建了塔里木河流域农牧系统的耦合度和耦合协调度模型,以2003-2014年的统计数据为基础,定量分析了流域农牧系统耦合度和协调度,得出以下结论:流域传统农业特征显著;流域农牧协调发展存在一定的难度;流域农牧耦合只是简单的初级耦合,农牧高级耦合发展后劲还不足;政策因素对流域农牧耦合影响较大。     

天山北坡城市群城市综合承载力评价

天山北坡城市群是新疆打造丝绸之路经济带核心区的重要载体和节点。以新疆“十二五”规划中天山北坡经济带所覆盖的12个城市为研究对象,从人口、生态环境、资源、经济、公共服务、交通等6个维度构建评价体系,运用改进的熵值法、变异系数等对2011-2013年天山北坡城市群城市综合承载力进行分析。结果表明:天山北坡城市群城市综合承载力空间分异明显且呈固化趋势;资源和经济是造成各城市综合承载力差距的主要原因;生态环境与资源为承载力首要制约因素且二者均超载严重;城市群生态-生产-生活承载力耦合协调度整体有所改善,但情况依旧较差。