To comprehensively utilize the valuable geological map,exploration profile,borehole,and geochemical logging data and the knowledge on the formation of the Jinshan Ag-Au deposit for forecasting the exploration targets ...To comprehensively utilize the valuable geological map,exploration profile,borehole,and geochemical logging data and the knowledge on the formation of the Jinshan Ag-Au deposit for forecasting the exploration targets of concealed ore bodies,three-dimensional Mineral Prospectivity Modeling(MPM)of the deposit has been conducted using the weights-of-evidence(WofE)method.Conditional independence between evidence layers was tested,and the outline results using the prediction-volume(P-V)and Student's t-statistic methods for delineating favorable mineralization areas from continuous posterior probability map were critically compared.Four exploration targets delineated ultimately by the Student's t-statistic method for the discovery of minable ore bodies in each of the target areas were discussed in detail.The main conclusions include:(1)three-dimensional modeling of a deposit using multi-source reconnaissance data is useful for MPM in interpreting their relationships with known ore bodies;(2)WofE modeling can be used as a straightforward tool for integrating deposit model and reconnaissance data in MPM;(3)the Student's t-statistic method is more applicable in binarizing the continuous prospectivity map for exploration targeting than the PV approach;and(4)two target areas within high potential to find undiscovered ore bodies were diagnosed to guide future near-mine exploration activities of the Jinshan deposit.展开更多
This study examines the molecular and isotopic composition of 193 gas samples collected from oil and gas fields across Colombia's onshore basins with active hydrocarbon production.Comparative analyses were conduct...This study examines the molecular and isotopic composition of 193 gas samples collected from oil and gas fields across Colombia's onshore basins with active hydrocarbon production.Comparative analyses were conducted on both isotopic and molecular compositions across the Lower Magdalena Basin(LMB),Middle Magdalena Basin(MMB),Upper Magdalena Basin(UMB),Putumayo Cagu an Basin(PUTCAB),Catatumbo Basin(CATB),Eastern Llanos Basin(LLAB),and Eastern Cordillera Basin(ECB).The primary objectives were to classify the gases produced,characterize their origins,assess transformation processes such as biodegradation and migration,and analyze the statistical distribution patterns of their components.This geochemical characterization aims to support the discovery of new reserves for both natural gas(NG)and liquefied petroleum gas(LPG),given Colombia's potential risk of diminished energy selfsufficiency in gas resources.The basins under study produce dry gas,wet gas,and liquefied petroleum gas(LPG/C_(3+)),all associated with oil and gas fields of commercial hydrocarbon production.Notably,the LLAB contains the highest proportions of heavy isotopic carbon and C_(3+)(LPG)concentrations,whereas LMB is characterized by isotopically lighter methane,indicative of dry gas predominance.Results suggest a predominantly thermogenic origin for the gases studied,generated within the oil and gas windows,with several samples originating from secondary oil cracking,while some samples from LMB display a likely biogenic origin.Additionally,evidence of gas migration and biodegradation was observed in a significant subset of samples.The analysis of statistical distributions and compositional trends reveals a prevalent high methane content,with substantial C_(2)-C_(5)(C_(2+))gas concentrations across all basins studied.This composition underscores the potential for both natural gas(NG)and LPG production.The C_(3+)(LPG)content varies between 1%and 92%,with 35%of the samples containing less than 5%LPG.High original gas-in-place(OGIP)volumes and substantial LPG content in the Eastern Llanos foothills,encompassing fields such as Cusiana and Cupiagua,highlight the prospective potential of this region.Near-field exploration could further add reserves of both NG and LPG.展开更多
我国人多地少,持续提高花生产量是花生栽培的首要目标。建国以来,我国花生高产栽培技术研究与应用取得了长足的进步,形成了独具中国特色的花生高产栽培技术体系,带动了花生整体生产水平的不断提高。回顾和总结我国花生高产栽培历程和经...我国人多地少,持续提高花生产量是花生栽培的首要目标。建国以来,我国花生高产栽培技术研究与应用取得了长足的进步,形成了独具中国特色的花生高产栽培技术体系,带动了花生整体生产水平的不断提高。回顾和总结我国花生高产栽培历程和经验,分析和探讨花生持续增产潜力与途径,有助于进一步提升我国花生高产栽培研究创新能力和整体生产水平。20世纪70年代初期,通过应用增产效果显著的氮磷化肥施用技术,产量突破了6000 kg hm^(-2);70年代末,通过化学调控、地膜覆盖、氮磷钾平衡施肥等关键技术,产量突破了7500 kg hm^(-2);进入20世纪90年代后,通过缓控徒长、量化施肥等关键技术,产量突破了9000kghm^(-2);进入新千年后,通过单粒精播等关键技术,产量突破了11,250 kg hm^(-2);2023年,以单粒精播技术为核心,配套全程可控施肥、“三防三促”群体调控和微生物耦合技术等,构建高产栽培技术体系创造实打验收12,982 kg hm^(-2)的全国高产纪录。据推算花生实际生产能力还有较大的提升空间,培育高潜力品种、充分挖掘土壤生产潜能和构建高质量的群体是未来进一步提高花生产量的主要途径。展开更多
目的观察基于相位对比(PC)MRI颅内血流动力学参数预测急性高原反应(AMS)的价值。方法前瞻性招募72名健康青年志愿者,于平原地区采集平静呼吸及轻、中及重度瓦尔萨尔瓦动作(VM)下的颈内动脉(ICA)及颈内静脉(IJV)PC MRI并记录ICA及IJV血...目的观察基于相位对比(PC)MRI颅内血流动力学参数预测急性高原反应(AMS)的价值。方法前瞻性招募72名健康青年志愿者,于平原地区采集平静呼吸及轻、中及重度瓦尔萨尔瓦动作(VM)下的颈内动脉(ICA)及颈内静脉(IJV)PC MRI并记录ICA及IJV血流动力学参数;根据急进海拔4411 m的高原地区10 h后路易斯湖评分(LLS)结果划分AMS组(n=9)与无AMS组(n=63);采用单因素及多因素logistic回归分析筛选各状态下AMS的独立预测因素,构建单一及联合VM状态预测模型;绘制受试者工作特征曲线,计算曲线下面积(AUC),评估各模型预测效能。结果轻度VM下ICA搏动指数(PI ICA)、中度VM下IJV面积(S IJV)及重度VM下IJV阻力指数(RI IJV)均为AMS独立预测因素(P均<0.05)。联合VM状态模型(AUC=0.869)预测AMS的效能高于单一VM状态模型(AUC=0.698~0.738)。结论基于轻度VM PI ICA、中度VM S IJV及重度VM RI IJV构建的模型可有效预测AMS。展开更多
基金financially supported by the Ministry of Science and Technology of China(Nos.2022YFF0801201,2021YFC2900300)the National Natural Science Foundation of China(Nos.41872245,U1911202)the Guangdong Basic and Applied Basic Research Foundation(No.2020A1515010666)。
文摘To comprehensively utilize the valuable geological map,exploration profile,borehole,and geochemical logging data and the knowledge on the formation of the Jinshan Ag-Au deposit for forecasting the exploration targets of concealed ore bodies,three-dimensional Mineral Prospectivity Modeling(MPM)of the deposit has been conducted using the weights-of-evidence(WofE)method.Conditional independence between evidence layers was tested,and the outline results using the prediction-volume(P-V)and Student's t-statistic methods for delineating favorable mineralization areas from continuous posterior probability map were critically compared.Four exploration targets delineated ultimately by the Student's t-statistic method for the discovery of minable ore bodies in each of the target areas were discussed in detail.The main conclusions include:(1)three-dimensional modeling of a deposit using multi-source reconnaissance data is useful for MPM in interpreting their relationships with known ore bodies;(2)WofE modeling can be used as a straightforward tool for integrating deposit model and reconnaissance data in MPM;(3)the Student's t-statistic method is more applicable in binarizing the continuous prospectivity map for exploration targeting than the PV approach;and(4)two target areas within high potential to find undiscovered ore bodies were diagnosed to guide future near-mine exploration activities of the Jinshan deposit.
文摘This study examines the molecular and isotopic composition of 193 gas samples collected from oil and gas fields across Colombia's onshore basins with active hydrocarbon production.Comparative analyses were conducted on both isotopic and molecular compositions across the Lower Magdalena Basin(LMB),Middle Magdalena Basin(MMB),Upper Magdalena Basin(UMB),Putumayo Cagu an Basin(PUTCAB),Catatumbo Basin(CATB),Eastern Llanos Basin(LLAB),and Eastern Cordillera Basin(ECB).The primary objectives were to classify the gases produced,characterize their origins,assess transformation processes such as biodegradation and migration,and analyze the statistical distribution patterns of their components.This geochemical characterization aims to support the discovery of new reserves for both natural gas(NG)and liquefied petroleum gas(LPG),given Colombia's potential risk of diminished energy selfsufficiency in gas resources.The basins under study produce dry gas,wet gas,and liquefied petroleum gas(LPG/C_(3+)),all associated with oil and gas fields of commercial hydrocarbon production.Notably,the LLAB contains the highest proportions of heavy isotopic carbon and C_(3+)(LPG)concentrations,whereas LMB is characterized by isotopically lighter methane,indicative of dry gas predominance.Results suggest a predominantly thermogenic origin for the gases studied,generated within the oil and gas windows,with several samples originating from secondary oil cracking,while some samples from LMB display a likely biogenic origin.Additionally,evidence of gas migration and biodegradation was observed in a significant subset of samples.The analysis of statistical distributions and compositional trends reveals a prevalent high methane content,with substantial C_(2)-C_(5)(C_(2+))gas concentrations across all basins studied.This composition underscores the potential for both natural gas(NG)and LPG production.The C_(3+)(LPG)content varies between 1%and 92%,with 35%of the samples containing less than 5%LPG.High original gas-in-place(OGIP)volumes and substantial LPG content in the Eastern Llanos foothills,encompassing fields such as Cusiana and Cupiagua,highlight the prospective potential of this region.Near-field exploration could further add reserves of both NG and LPG.
文摘我国人多地少,持续提高花生产量是花生栽培的首要目标。建国以来,我国花生高产栽培技术研究与应用取得了长足的进步,形成了独具中国特色的花生高产栽培技术体系,带动了花生整体生产水平的不断提高。回顾和总结我国花生高产栽培历程和经验,分析和探讨花生持续增产潜力与途径,有助于进一步提升我国花生高产栽培研究创新能力和整体生产水平。20世纪70年代初期,通过应用增产效果显著的氮磷化肥施用技术,产量突破了6000 kg hm^(-2);70年代末,通过化学调控、地膜覆盖、氮磷钾平衡施肥等关键技术,产量突破了7500 kg hm^(-2);进入20世纪90年代后,通过缓控徒长、量化施肥等关键技术,产量突破了9000kghm^(-2);进入新千年后,通过单粒精播等关键技术,产量突破了11,250 kg hm^(-2);2023年,以单粒精播技术为核心,配套全程可控施肥、“三防三促”群体调控和微生物耦合技术等,构建高产栽培技术体系创造实打验收12,982 kg hm^(-2)的全国高产纪录。据推算花生实际生产能力还有较大的提升空间,培育高潜力品种、充分挖掘土壤生产潜能和构建高质量的群体是未来进一步提高花生产量的主要途径。
文摘目的观察基于相位对比(PC)MRI颅内血流动力学参数预测急性高原反应(AMS)的价值。方法前瞻性招募72名健康青年志愿者,于平原地区采集平静呼吸及轻、中及重度瓦尔萨尔瓦动作(VM)下的颈内动脉(ICA)及颈内静脉(IJV)PC MRI并记录ICA及IJV血流动力学参数;根据急进海拔4411 m的高原地区10 h后路易斯湖评分(LLS)结果划分AMS组(n=9)与无AMS组(n=63);采用单因素及多因素logistic回归分析筛选各状态下AMS的独立预测因素,构建单一及联合VM状态预测模型;绘制受试者工作特征曲线,计算曲线下面积(AUC),评估各模型预测效能。结果轻度VM下ICA搏动指数(PI ICA)、中度VM下IJV面积(S IJV)及重度VM下IJV阻力指数(RI IJV)均为AMS独立预测因素(P均<0.05)。联合VM状态模型(AUC=0.869)预测AMS的效能高于单一VM状态模型(AUC=0.698~0.738)。结论基于轻度VM PI ICA、中度VM S IJV及重度VM RI IJV构建的模型可有效预测AMS。
