鲁中山区新生代沉积盆地古近系含水层富水性分析

正前人研究结果认为,鲁中山区新生代沉积盆地古近系为一套碎屑岩孔隙裂隙含水层,单井涌水量小于100 m~3/d,长期作为弱富水含水层出现,不具有供水意义(康凤新等,2010)。2016年以来,中国地质调查局启动的沂蒙山革命老区1:5万水文地质调查项目,在大汶河流域中上游鲁中山区实施古近系钻孔8眼,涌水量达10800 m~3/d,直接解困人口1.1万。其中在莱芜盆地西北缘实     

中蒙俄毗邻地区中蒙古—额尔古纳成矿带成矿地质条件与成矿特征

正介于蒙古—鄂霍次克断裂带和中蒙古—得尔布干断裂带之间的中蒙古—额尔古纳成矿带,西起蒙古杭爱山,经中戈壁省、乔巴山,向东延伸至我国大兴安岭北段满洲里—呼吗一带,封闭于俄罗斯阿穆尔州,中国境内部分包括了大兴安岭成矿省的上黑龙江(边缘海)Au(Cu-Mo)成矿带和额尔古纳Cu-Mo-Pb-Zn-Ag-Au—萤石成矿亚带(徐志刚等,2008;朱群等,2014)。     

Characteristics,differences and main controlling factors of source rocks in the central‐southern South China Sea Basins

The South China Sea is rich in oil and gas resources. With the increasing exploration of oil and gas resources in the northern South China Sea and the increasing demand for energy in the world, The central‐southern South China Sea have become important constituencies for oil and gas resources. The central‐southern basins of South China Sea can be divided into three types of basin groups, namely, the southern basin group (Zengmu Basin, Brunei‐Sabah Basin), the western basin group (Wan'an Basin, Zhong jiannan Basin) and the Central Basin Group (Liyue Basin, Beikang Basin, Nanweixi Basin and Palawan Basin). At present, the degree of exploration is relatively low, and the source rock has not yet formed a understanding of the system. The main source rock development time, source rock characteristics, hydrocarbon generation potential and control factors of each basin group are still unclear, which seriously restricts the exploration of oil and gas. Based on the sedimentary facies distribution and sedimentary filling evolution, combined with the geoche mical characteristics of the source rocks, the source age, organic matter type, hydrocarbon generation potential and main controlling factors of the basins in the central‐southern basins are discussed. By the detailed research on delta scale, provenance system, paleoclimate conditions, ancient vegetation development and hydroca rbon generation parent material, the main controlling factors of hydrocarbon generation potential of source rocks in each basin group are revealed.     

内蒙古二连盆地中部古河道型铀矿床中烃类流体特征与铀成矿关系

通过对二连盆地中部下白垩统赛汉组上段古河道型铀矿床砂岩中的酸解烃特征进行分析,探讨了酸解烃中烃类气体组成特征、成因及来源,并结合该区铀矿分布富集的地质特征初步探讨了该区油气与砂岩型铀成矿关系。结果表明,赛汉组上段古河道砂体中CH_4及C_2~+含量与铀含量呈正比,且在氧化带、氧化还原过渡带和还原带内烃类含量具明显的分带性。酸解烃气体组成特征参数C_1/ΣC、C_1/C_2+、C_2/iC_4、C_2/C_3、iC_4/nC_4、iC_5/nC_5、ln(C_1/C_2)、ln(C_2/C_3)表明,研究区赛汉组上段古河道砂体中的烃类气为有机成因的油型气,烃类气主要处于成熟-高成熟阶段,主要为原油伴生气和原油裂解气。根据研究区烃源岩地球化学特征及生排烃史分析认为,该区下白垩统赛汉组上段古河道型铀矿床中烃类气主要来源于下白垩统阿尔善组(K_1ba)湖相腐泥型或偏腐泥型烃源岩,其次为腾一段(K_1bt~1)低熟-成熟阶段的湖相烃源岩。研究区深大断裂、不整合面、主砂体或裂隙是该区深部油气向上逸散的主要通道,深大断裂及不整合面附近应是该区砂岩型铀矿找矿的重点方向;油气在该区古河道砂岩型铀成矿作用过程中具有吸附作用、还原作用和保矿作用,区内砂岩型铀成矿期次、油气聚散史明显受控于晚白垩世末—古新世期的反转构造作用。     

马来西亚吉兰丹SOKOR金矿地质特征及成因浅析

马来半岛金矿主要分布在半岛中央金矿带北部,该成矿带地处特提斯成矿带与环太平洋成矿带交汇处,成矿条件优越。含矿岩石主要是千枚岩及石英斑岩,矿物以黄铁矿为主,矿体产状与接触带产状基本一致,金矿化类型主要有含金块状硫化物型、含金石英脉型及褐铁矿型3种,品位变化较大。矿床地质特征、矿体产状及矿化蚀变信息表明成矿与热液活动紧密相关,应属于浅成低温热液型金矿。     

富磷矿三阶段动态成矿模式:黔中开阳式高品位磷矿成矿机制

震旦系陡山沱组沉积期形成的黔中开阳、瓮安富磷矿沉积区,矿石产量大、品位高,是国内外重要的磷矿资源产区。黔中磷矿主要分布于黔中古陆周缘的滨浅海环境中,矿石类型以碎屑状磷块岩为主,间夹原生泥晶磷块岩、生物结构磷块岩和次生土状结构磷块岩。开阳式高品位磷块岩的动态沉积成矿过程通常为“三阶段成矿”: 第一阶段为初始成磷作用阶段,在新元古代大规模成磷背景下,上升洋流携带深部富磷海水进入滨浅海地区,并通过生物化学作用使磷质聚集并形成原生磷块岩沉积;第二阶段为簸选成矿作用阶段,高能波浪、风暴水流对原生磷块岩持续的破碎、磨蚀、搬运和再沉积过程中,簸选去除了原生沉积物中的陆源细碎屑、砂泥质成分,保留并聚集磷质碎屑颗粒,形成品位较高的碎屑状矿石;第三阶段为淋滤作用阶段,海平面升降变化使之前形成矿石受暴露事件影响,遭受强烈的风化淋滤作用,碎屑状磷矿石内的碳酸盐岩胶结物和白云石条带被淋滤运移,导致矿层发育大量溶蚀孔洞,甚至形成土状磷块岩,矿石品位再次得到大幅度提升。三阶段成矿作用随古地理条件和海平面变化在沉积成岩过程中多期次、动态进行,最终形成工业价值极高的磷矿石。     

内蒙古中部苏尼特左旗地区阿巴嘎组火山岩地球化学特征及成因

内蒙古中部苏尼特左旗地区阿巴嘎组火山岩主要由安山岩组成。岩石富碱、高钾和铝、低镁。富集大离子亲石元素(LILEs)Rb、Ba、U、K和轻稀土元素(LREE),相对亏损高场强元素(HFSEs),具明显的Nb、Ta和Ti负异常和Pb正异常。稀土元素总量较高,轻、重稀土元素分馏强烈且属轻稀土元素富集型,具弱负Eu异常。主量、微量元素地球化学特征表明,阿巴嘎组安山岩为钾质火山岩,岩浆上升演化过程中经历了斜长石和铁镁矿物的分离结晶作用,无地壳物质的混染。阿巴嘎组钾质火山岩的形成与新生代太平洋板片俯冲密切相关,其岩浆来源于滞留的俯冲太平洋板片释放流体交代的富集陆下岩石圈地幔,是在板内伸展体制下含金云母石榴子石二辉橄榄岩低程度部分熔融的产物。这种板内伸展体制可能是新生代滞留于地幔过渡带中的太平洋板片俯冲后撤引起的。     

纳入动态数据的改进FLUS模型在城市增长边界划定中的应用

城市增长边界是管控城市建设用地无序扩张的有效手段,科学合理划定城市增长边界是当前研究关注的重要课题。本研究试图引入百度动态交通时间和POI数据改进FLUS模型,以长沙市中心城区为例,采用2000、2010和2018年3期土地利用数据对比验证改进FLUS模型模拟精度,并利用改进FLUS模型设置2种情景,模拟2030年长沙市中心城区土地利用变化,结合用地适宜性评价划定城市增长边界。结果显示：① 纳入动态数据的改进FLUS模型模拟2010年和2018年土地利用相比原模型KAPPA系数提高了2.90%和2.74%,总体精度提高了1.79%和1.83%,表明改进模型具有更高模拟精度;② 利用改进FLUS模型模拟的2030年长沙市中心城区土地利用变化,基准情景和生态保护情景建设用地规模分别为930.06 km²和881.36 km²,均以耕地转为建设用地比例最大;③ 长沙市中心城区刚性增长边界范围为1479.59 km²,占中心城区总面积的37.38%,边界内包含了芙蓉区、天心区、雨花区、岳麓区和开福区的大部分区域;④ 基准情景和生态保护情景下,长沙市中心城区弹性增长边界面积分别为799.35 km²和742.92 km²,建设用地扩张空间主要为长沙县和望城区,结果与2010版长沙市城市总体规划拓展方向一致。纳入动态数据的改进FLUS模型多情景模拟划定城市增长边界,能更高精度的为规划决策提供科学依据。     

Delineating Hierarchical Hospital Service Areas in Florida

Hospital service area (HSA) and hospital referral region (HRR), known as a hierarchical HSA system, have been used as analysis units in a growing body of large‐scale studies of healthcare spending, utilization, and outcome in the United States. However, the popular Dartmouth HSAs and HRRs were produced more than two decades ago and are unable to represent contemporary healthcare markets. This research uses a revised Huff Model to delineate two levels of hospital service areas in Florida, resulting in sixty‐four HSAs nested in twenty‐one HRRs. Three elements distinguish our method from existing work. First, a best‐fitting distance‐decay function derived from the actual travel pattern of hospitalization is embedded in the Huff Model to strengthen the model's theoretical foundation in individual spatial behavior. Secondly, the hierarchal central place structure is supported by the differing travel‐friction coefficients for general versus specialized patients; general patients experience a steeper gradient and thus a shorter average travel range that supports delineating more HSAs of smaller area size, and specialized patients exhibit a flatter gradient and thus a longer average travel range that leads to fewer HRRs of large‐sized areas. Finally, the delineation method automated in geographic information systems (GIS) can be easily replicated in other regions to define large‐scale and consistent hierarchical HSA systems.