胜利东二号露天矿6煤层直接液化性能评价     

韩晓宙  霍超  赵岳  张建强  张恒利  贺军 《中国煤炭地质》2019,(3):19-22

基于褐煤直接液化特性与煤性质的关系,从煤岩组分和煤质基本性质出发,结合前人对与褐煤直接液化相关的煤岩组分和煤质指标研究成果,通过采样测试与收集数据,探讨了胜利煤田东二号露天矿6煤层煤岩组分、灰分、挥发分、H/C原子比对其直接液化的影响,提出了褐煤作为直接液化的指标要求范围。结果表明:该煤层活性组分(腐植组和稳定组)含量较高,挥发分含量大于35%、H/C原子大部分大于0. 70、浮煤灰分大部分小于10%,符合液化指标要求,可作为较理想的直接液化原料煤。  相似文献   

Binary Star Fractions from the LAMOST DR4     

Zhi-Jia Tian  Xiao-Wei Liu  Hai-Bo Yuan  Bing-Qiu Chen  Mao-Sheng Xiang  Yang Huang  Chun Wang  Hua-Wei Zhang  Jin-Cheng Guo  Juan-Juan Ren  Zhi-Ying Huo  Yong Yang  Meng Zhang  Shao-Lan Bi  Wu-Ming Yang  Kang Liu  Xian-Fei Zhang  Tan-Da Li  Ya-Qian Wu  Jing-Hua Zhang 《天文和天体物理学研究(英文版)》2018,(5)

Stellar systems composed of single, double, triple or higher-order systems are rightfully regarded as the fundamental building blocks of the Milky Way. Binary stars play an important role in formation and evolution of the Galaxy. Through comparing the radial velocity variations from multiepoch observations, we analyze the binary fraction of dwarf stars observed with LAMOST. Effects of different model assumptions, such as orbital period distributions on the estimate of binary fractions,are investigated. The results based on log-normal distribution of orbital periods reproduce the previous complete analyses better than the power-law distribution. We find that the binary fraction increases with Teff and decreases with [Fe/H]. We first investigate the relation between α-elements and binary fraction in such a large sample as provided by LAMOST. The old stars with high [α/Fe] dominate with a higher binary fraction than young stars with low [α/Fe]. At the same mass, earlier forming stars possess a higher binary fraction than newly forming ones, which may be related with evolution of the Galaxy.  相似文献   

塔克拉玛干荒漠-绿洲过渡带尘卷风活动特征——以肖塘为例     

马明杰  杨兴华  何清  买买提艾力&#  买买提依明  周成龙  霍文 《中国沙漠》2019,39(2):115-121

利用1992-2011年塔克拉玛干沙漠北缘荒漠-绿洲过渡带肖塘气象站的观测资料，分析了该地区尘卷风的年、月变化规律及其与气象因子的关系。结果表明：（1）1992-2011年尘卷风发生日数总体呈波动递减趋势；尘卷风主要发生在3-9月，占全年总日数的90.9%，其中4-7月占全年总日数的70%左右。（2）尘卷风月发生日数随月平均地表与1.5 m高处温差的增大而线性增加（r=0.875，P<0.01）。（3）尘卷风月发生日数随着月平均风速的增大而幂函数增加（r=0.89，P<0.01）。（4）尘卷风月发生日数随月平均相对湿度的增大而线性减少（r=-0.869，P<0.01）。  相似文献   

Machine-Learning-Aided Determination of Post-blast Ore Boundary for Controlling Ore Loss and Dilution     

Yu  Zhi  Shi  Xiuzhi  Zhou  Jian  Gou  Yonggang  Rao  Dijun  Huo  Xiaofeng 《Natural Resources Research》2021,30(6):4063-4078

Natural Resources Research - In the process of open-pit bench blasting for many mines, rock fragments move in the direction of loose space after fragmentation under explosive energy, leading to ore...  相似文献   

Projections of changes in marine environment in coastal China seas over the 21st century based on CMIP5 models     

Tan  Hongjian  Cai  Rongshuo  Huo  Yunlong  Guo  Haixia 《中国海洋湖沼学报》2020,38(6):1676-1691

Journal of Oceanology and Limnology - The increases of atmospheric carbon dioxide and other greenhouse gases have caused fundamental changes to the physical and biogeochemical properties of the...  相似文献   

Transcriptomic Profiling of the Immune Response to Crowding Stress in Juvenile Turbot (Scophthalmus maximus)     

Huo  Huanhuan  Gao  Xiaoqiang  Fei  Fan  Qin  Fei  Huang  Bin  Liu  Baoliang 《中国海洋大学学报(英文版)》2020,19(4):911-922

  相似文献   

A new prediction model for grain yield in Northeast China based on spring North Atlantic Oscillation and late-winter Bering Sea ice cover          下载免费PDF全文

Mengzi Zhou  Huijun Wang  Zhiguo Huo 《Acta Meteorologica Sinica》2017,31(2):409-419

Accurate estimations of grain output in the agriculturally important region of Northeast China are of great strategic significance for guaranteeing food security. New prediction models for maize and rice yields are built in this paper based on the spring North Atlantic Oscillation index and the Bering Sea ice cover index. The year-to-year increment is first forecasted and then the original yield value is obtained by adding the historical yield of the previous year. The multivariate linear prediction model of maize shows good predictive ability, with a low normalized root-mean-square error (NRMSE) of 13.9%, and the simulated yield accounts for 81% of the total variance of the observation. To improve the performance of the multivariate linear model, a combined forecasting model of rice is built by considering the weight of the predictors. The NRMSE of the model is 12.9% and the predicted rice yield explains 71% of the total variance. The corresponding cross-validation test and independent samples test further demonstrate the efficiency of the models. It is inferred that the statistical models established here by applying year-to-year increment approach could make rational prediction for the maize and rice yield in Northeast China before harvest. The present study may shed new light on yield prediction in advance by use of antecedent large-scale climate signals adequately.  相似文献   

An examination of the Galileo NeQuick model: comparison with GPS and JASON TEC     

Wang  Ningbo  Yuan  Yunbin  Li  Zishen  Li  Ying  Huo  Xingliang  Li  Min 《GPS Solutions》2017,21(2):605-615

GPS Solutions - We evaluate the performance of Galileo broadcast NeQuick model by comparing it with GPS broadcast Klobuchar and the original NeQuick2 models. The broadcast coefficients of Galileo...  相似文献   

江西省早稻雨洗花灾害指标构建与灾损评估   总被引：3，自引：2，他引：1       下载免费PDF全文

田俊  霍治国 《应用气象学报》2018,29(6):657-666

构建早稻雨洗花灾害指标及适于早稻产量估算的灾损评估模型,对开展早稻雨洗花灾害监测、损失评估、灾害保险等具有重要意义。该文以江西省早稻为研究对象,利用1981-2015年14个水稻气象观测站逐日气象资料和农业气象观测资料,筛选出基于早稻抽穗扬花期间过程降水量、最大降水量、降水日数及实际产量的雨洗花灾害样本78个,在此基础上,利用相关分析、正态分布以及主成分回归法,建立了雨洗花灾害指标和灾损评估模型,并对其进行验证。结果表明:抽穗扬花期降水对雨洗花灾害形成有显著影响,其主要影响时段为抽穗扬花普遍期前后5 d内,关键时段为抽穗扬花普遍期前后3 d内。日降水量40 mm可作为早稻抽穗扬花期雨洗花灾害临界指标。以该指标为基础,统计日降水量不低于40 mm的降水日数及其对应的累积降水量,当累积降水量为40~170 mm时,为轻度雨洗花灾害,早稻一般减产小于15%,平均减产10%;当累积降水量不小于170 mm时,为重度雨洗花灾害,早稻一般减产不低于15%,平均减产22%。指标验证结果与历史实际灾害发生情况有较好的一致性。雨洗花灾损评估模型检验结果表明:雨洗花年模拟产量与实际产量吻合度较高,平均相对模拟误差为4.3%,78.0%的资料相对误差在5%以内,可利用该模型对雨洗花年的早稻减产率进行模拟和预测。  相似文献   

湖南省油菜春季涝渍过程灾变判别指标   总被引：4，自引：1，他引：3       下载免费PDF全文

范雨娴  霍治国  杨宏毅  尚莹 《应用气象学报》2018,29(2):141-153

以湖南省油菜为研究对象,综合洪涝与连阴雨的致灾因子,利用历史灾情数据反演涝渍过程样本,构建临灾、受灾状态样本,采用均值t检验方法,定量分析不同降水累积衰减系数w情况下,降水因子差异的显著性,构建有效累积降水量P_E。基于Fisher判别准则,计算涝渍灾害临灾与受灾的临界线,构建逐日动态的油菜春季涝渍过程灾变判别指标y,并进行涝渍过程样本反演及独立样本验证。分析春季涝渍受灾频率与相对气象产量的关系,构建灾害影响评价模型。结果表明:当w=0.899时,受灾与临灾样本P_E的差异最显著。灾变判别指标y可逐日动态监测涝渍灾变过程及灾害后续影响,为动态监测区域油菜涝渍过程提供了数据支撑;指标指示的灾变范围与实际受灾情况基本一致,为区域防灾减灾提供了科学参考。开花期及结荚期湖南油菜涝渍受灾频率较高,成熟期较低。湖南省油菜春季涝渍灾害影响指数呈东南高西北低,长沙东部、株洲中部及北部、湘潭、永州及郴州中部油菜产量受涝渍灾害影响最重。  相似文献