Analyses of the Compositional Characteristics and Sources of the Organochlorine Pesticides in the Surface Sediments of Guanghai Bay,Taishan City,Guangdong Province     

FAN Xiaoping  HE Yicheng  ZHANG Peng  Huo Zhuqing  ZHEN Leiming 《《地质学报》英文版》2019,93(Z2):65-66

Organochlorine pesticides (OCPs) are a class of toxic and harmful persistent organic pollutants widely found in environment. Hexachlorocyclohexane (HCHs) and DDTs are two of the most widely used OCPs (Qiu et al., 2004), so it is important to find out their compositional characteristics and sources in surface sediments. Guanghai Bay is located in the south of Guanghai Bay Industrial Park in Taishan City, Guangdong Province. It borders Huangmaohai to the east and Zhenhai Bay to the west, covering an area of about 236 square kilometers. In this study, surface sediments were collected at 16 sites in Guanghai Bay (Fig. 1). After the surface sediments were pretreated, GC‐MS was used to analyze OCPs. A total of 14 OCPs were detected and their content was shown in Table 1. The concentration of ΣOCPs ranged between 0.507～0.860ng·g‐1, with an average of 0.680 ng?g‐1. In general, the content of ΣOCPs was the highest at No. A12 site. The concentrations of these 14 detected OCPs ordered as dieldrin > epoxy heptachlor > P, P'‐DDD > γ‐HCH >endrin >aldrin > P, P'‐DDE >mirex >hexachlorobenzene >P, P'‐DDT > α‐HCH > δ‐HCH >β‐HCH > heptachlor.  相似文献   

二连盆地脑木根凹陷沉积型铀矿成矿特征     

唐朝苗  徐强  赵岳  霍超  盛新丽 《中国煤炭地质》2019,(3):32-38

二连盆地乌兰察布坳陷是我国重要的沉积型铀矿成矿区,脑木根凹陷为二连盆地乌兰察布坳陷南缘的一个次级凹陷,其中的下白垩统赛汉组沉积了一套三角洲-湖泊相含煤碎屑岩建造,具备铀成矿基本条件。通过对煤田钻孔资料"二次开发",配合钻探验证,在下白垩统赛汉组中圈定了连续稳定的放射性异常区。发现了潜水氧化型和同沉积泥岩型铀矿成矿类型,研究区铀矿化主要受古气候、成矿期砂体沉积特征、铀源、后生氧化作用等多重因素的控制。建立了研究区潜水氧化叠合同沉积泥岩型铀矿成矿模式。  相似文献   

平庄盆地六家立井地区找铀目标层岩石学特征及其找矿意义     

殷榕蔚  霍超  吕永华  赵岳  赵明  张恒利  贺军 《中国煤炭地质》2019,(3):39-44

六家立井地区位于平庄盆地北缘,白垩系下统阜新组上段是该区砂岩型铀矿床目标层位,具有较好找铀前景。为深入了解该区砂体的岩石学特征,通过野外钻探工作、岩心编录、样品采集及岩矿测试方法,详细研究了目标层碎屑岩类型、碎屑岩成分、结构构造等岩石学方面特征。结果表明目标层碎屑岩成分成熟度和结构成熟度均较低,具有搬运距离短、沉积速度快的特点,其物源较单一,初步判断物源来自盆地东北部和西北部隆起带酸性花岗岩,同时也为铀成矿提供了良好的铀源。  相似文献   

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   

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

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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