Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

Natural Resources Research - A large ore loss and dilution can be expected when using a pre-blast ore boundary for shovel guidance because of the movement and re-distribution of ore in the muck...     

海上风电场高桩承台群桩基础平台的设计研究

针对国内海上风电基础设计没有统一的规范及标准,为提升海上风电基础设计建设的水平,通过对东南沿海某海域海上风电基础的设计进行了有限元计算分析论证,验证了群桩高承台结构设计方案的设计方法和设计参数。分析结果表明该设计的最大应力主要发生在塔筒底座与承台接触部位及钢管桩与承台连接段,应在连接部位加强措施处理;基础竖直位移较小,水平位移相对较大;分界部位应力较集中,刚度不能顺畅过渡,可考虑填充碎石土等方法加强。本研究对海上风电基础设计技术的研究与探索,可为将来制定中国海上风电行业标准提供可靠的依据,对中国未来大批量的海上风电能源的开发有着重要意义。     

我国深海矿产研究:进展与发现(2011-2020)

深海矿产是地球上尚未被人类充分认识和利用的最大潜在战略矿产资源,近十年我国在该领域的研究取得了重要进展.在太平洋国际海底区域申请到2块多金属结核勘探区、1块富钴结壳勘探区,在西南印度洋中脊申请到1块多金属硫化物勘探区.研究阐明了我国多金属结核和富钴结壳勘探区小尺度成矿规律,揭示了其成矿作用过程及古海洋古气候记录,探讨了...     

云南永善县茂林铜矿铜元素赋存状态研究

云南永善县茂林铜矿属于玄武岩型铜矿,品位较低.通过电子探针、化学多元素分析以及光、薄片镜下观察等研究,对矿石的结构、构造,铜矿物在矿石中的赋存状态都有了清楚认识.研究结果显示约68％的铜以独立矿物的形式赋存在赤铜矿和自然铜中,另有32％的铜则以类质同像的形式赋存在绿泥石中.     

喜马拉雅珠峰地区冬季大气气溶胶化学组分及光学特征

为了研究喜马拉雅山北坡冬季大气气溶胶化学组分、光学特征及来源,2017年11—12月在珠穆朗玛峰站(QOMS)共采集22个PM2.5样品.结果显示:PM2.5中包括水溶性离子(WSIs)、有机质(OM)、元素碳(EC)在内的所有检测成分,总质量浓度为(3.36±1.06)μg·m-3;有机碳(OC)、元素碳(EC)和水...     

Degradation induces changes in the soil C:N:P stoichiometry of alpine steppe on the Tibetan Plateau

Due to the Tibetan Plateau's unique high altitude and low temperature climate conditions,the region's alpine steppe ecosystem is highly fragile and is suffering from severe degradation under the stress of increasing population,overgrazing,and climate change.The soil stoichiometry,a crucial part of ecological stoichiometry,provides a fundamental approach for understanding ecosystem processes by examining the relative proportions and balance of the three elements.Understanding the impact of degradation on the soil stoichiometry is vital for conservation and management in the alpine steppe on the Tibetan Plateau.This study aims to examine the response of soil stoichiometry to degradation and explore the underlying biotic and abiotic mechanisms in the alpine steppe.We conducted a field survey in a sequent degraded alpine steppe with seven levels inNorthern Tibet.The plant species,aboveground biomass,and physical and chemical soil properties such as the moisture content,temperature,pH,compactness,total carbon(C),total nitrogen(N),and total phosphorus(P)were measured and recorded.The results showed that the contents of soil C/N,C/P,and N/P consistently decreased along intensifying degradation gradients.Using regression analysis and a structural equation model(SEM),we found that the C/N,C/P,and N/P ratios were positively affected by the soil compactness,soil moisture content and species richness of graminoids but negatively affected by soil pH and the proportion of aboveground biomass of forbs.The soil temperature had a negative effect on the C/N ratio but showed positive effect on the C/P and N/P ratios.The current study shows that degradation-induced changes in abiotic and biotic conditions such as soil warming and drying,which accelerated the soil organic carbon mineralization,as well as the increase in the proportion of forbs,whichwere difficult to decompose and input less organic carbon into soil,resulted in the decreases in soil C/N,C/P,and N/P contents to a great extent.Our results provide a sound basis for sustainable conservation and management of the alpine steppe.     

车辆碾压作用下戈壁地表起尘浓度

通过野外观测车辆碾压作用下戈壁地表PM₁₀释放浓度,探讨其主要影响因素。针对戈壁区砾石、砂砾、砂质和砂土4种路面类型,应用TSI粉尘仪多次重复观测车辆碾压产生的PM₁₀浓度,进而阐明碾压次数、车速和地表水分等因素对起尘浓度的影响。结果表明：4种路面的平均起尘浓度依次为5.339、9.089、16.944、50.251 mg·m^-3,是自然状态下的5~50倍;起尘浓度随碾压次数增多而增大,其中砂土路情况下的增长最显著;随土层厚度的增大呈现出幂函数的增长趋势;降雨后路面起尘浓度显著减小,且降雨量会影响降雨后起尘浓度的变化趋势。最后提出了针对性的建议和措施以减弱车辆碾压导致的戈壁地表起尘。     

Jason-2高度计电离层GIM误差分析及修正研究

基于Jason-2高度计2015年地球物理数据集(GDR)38个周期太平洋海域的全球电离层图(GIM)电离层校正值和双频校正值的数据,分不同季度和不同纬度区域比较二者的差异,结果表明:GIM值与双频校正值之间存在明显的差异,GIM校正值普遍高于双频校正值,说明GIM高估了电离层路径延迟,GIM校正值与双频校正值的差异与季节和纬度区间有关。用梯度下降法得到GIM值的修正方程,将修正方程应用于2016年Jason-2的全年数据,修正后的GIM值与双频校正值十分接近,在各年份中均具有良好的适用性。在单频高度计不能使用电离层双频校正算法的情况下,可以利用不同季度和不同纬度区域的修正方程对同等高度的高度计GIM值进行修正以达到双频校正值的精度水平。     

Examining the Relationship Between Spatial Configurations of Urban Impervious Surfaces and Land Surface Temperature

The urban heat island(UHI) effect has significant effects on the quality of life and public health. Numerous studies have addressed the relationship between UHI and the increase in urban impervious surface area(ISA), but few of them have considered the impact of the spatial configuration of ISA on UHI. Land surface temperature(LST) may be affected not only by urban land cover, but also by neighboring land cover. The aim of this research was to investigate the effects of the abundance and spatial association of ISAs on LST. Taking Harbin City, China as an example, the impact of ISA spatial association on LST measurements was examined. The abundance of ISAs and the LST measurements were derived from Landsat Thematic Mapper(TM) imagery of 2000 and 2010, and the spatial association patterns of ISAs were calculated using the local Moran’s I index. The impacts of ISA abundance and spatial association on LST were examined using correlation analysis. The results suggested that LST has significant positive associations with both ISA abundance and the Moran’s I index of ISAs, indicating that both the abundance and spatial clustering of ISAs contribute to elevated values of LST. It was also found that LST is positively associated with clustering of high-ISA-percentage areas(i.e.,>50%) and negatively associated with clustering of low-ISA-percentage areas(i.e.,<25%). The results suggest that, in addition to the abundance of ISAs,their spatial association has a significant effect on UHIs.     

大连市大气污染物质量浓度与气溶胶光学厚度的相关性分析

分别对2015年6~12月和2016年6~12月大连地区的大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃的浓度数据进行数据统计分析,基于ENVI软件平台利用MODIS数据反演大连地区的气溶胶光学厚度,通过回归建模研究气溶胶光学厚度与大连地区10个地面监测站点的大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃的浓度数据的相关性。回归建模以气溶胶光学厚度（AOD）为自变量,以大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃为因变量,在SPSS软件中分别选取线性、对数、三次、乘幂、指数5种函数类型进行研究,通过对比回归模型的拟合优度R²,选择最优拟合模型,探讨利用遥感数据反演气溶胶光学厚度监测大气污染的相关性。结果表明：气溶胶光学厚度与NO₂、PM2.5和PM10的最优拟合模型均为三次模型,其拟合优度R²分别是0.685、0.801和0.845;与O₃和SO₂的最优拟合模型为指数模型,其R²为0.367和0.482;与CO的最优拟合模型为对数模型,其拟合优度R²为0.810。该结果为分析大气气溶胶污染来源以及治理提供了数据。