华南上扬子区深部温度估算及其油气地质意义

盆地热体制及深部温度估算对油气和区域地热能资源评估具有重要意义。南方上扬子区是海相油气勘探的重要区块,近年来更是我国页岩气勘探的主要选区。然而,由于数据不足及研究目标的分散,该区的盆地热体制特征还有待深化。结合前人已有地热数据,并整合新近开展的稳态测温数据,我们揭示了上扬子区现今地温梯度、大地热流分布特征,继而估算了1000～6000m埋深处的深部地层温度和2套主要古生界海相烃源岩底界面处的温度。结果表明,上扬子区具有中-低温的地热状态,其现今地温梯度和大地热流的范围(平均值)分别为10～74℃/km(24℃/km)和27～118mW/m~2(64mW/m~2),整体上从东北向西南方向递增,呈现出"东北低、西南高"的分布趋势。1000～6000m埋深处估算温度的分布格局与地温梯度及热流的分布趋势基本一致。东北部的鄂西-湘北地区为低温区,中部的四川盆地其大部分为中温区,西南的云南地区为高温区。上扬子区现今地热分布格局受区域差异构造和岩浆作用控制。结合储层温度估算并综合其他油气地质资料,提出川东的石柱-涪陵、川南的威远-自贡-泸州和宜宾-长宁等区的下志留统龙马溪组页岩层系是上扬子区油气勘探有利区带。     

长江下游区域地温场特征及其能源意义

区域地热特征及深部温度估算对于油气勘探和地热能资源评价和开发利用具有重要意义,长江下游地区是我国东部经济社会高度发达的地区,其能源需求大,区域热状态研究能为该区地热资源评价提供关键约束。通过整合长江下游地区已有的温度数据和实测岩石物性参数,勾勒出该区的现今地温场特征,并进一步估算其1 000~5 000 m埋深处的地层温度。研究表明,长江下游地区现今地温梯度为16~41 ℃/km,且以18~25 ℃/km居多,苏北盆地区呈现高地温梯度。大地热流值为48~80 mW/m²,其均值为60 mW/m²,表现为中等的地热状态,有利于油气和地热能形成。此外,长江下游地区深部地温估算表明,1 000 m埋深处的温度范围为30~54 ℃,2 000 m时温度范围为50~95 ℃,3 000 m时温度范围为65~130 ℃,4 000 m时温度范围为80~170 ℃,5 000 m时温度范围为100~210 ℃。区域深部地温的展布趋势呈NE向,高温区域集中在安徽南部和江苏东北部。结合60 ℃和120 ℃等温线的埋深分布及区域地质、地球化学和地热特征,初步探讨了该区油气与地热资源的有利区带及其相应的开发利用类型。     

泸州2005年"2.22"大雾天气浅析

2005年2月22日,泸州市北部几个区县均出现了大面积的浓雾(市区没有测站,但根据当时的实况来看,能见度应在50米以下),南部虽然能见度较好,亦出现了轻雾.普查1980～2001年的历史资料,2月下旬泸州市区大雾概况,泸州、纳溪各一次,其余站点均没有出现,可见,该时段大雾出现几率较少,是小概率事件,预报技术上有一定的难度.     

内蒙古东南部地区夏季旱涝的环流特征分析及预测

主要从与内蒙古东南部地区(指赤峰市和通辽市)夏季旱涝关系密切的西太平洋副高、亚洲地区环流和蒙古冷涡三个主要的天气系统入手,分析旱涝年的环流差异。结果表明:⑴夏季蒙古冷涡偏多、副热带高压偏强和北半球盛行经向环流,是造成夏季降水偏多的主要环流形势;⑵冬季北半球极涡纬度和亚洲地区的环流指数对夏季环流形势有一定的指示意义;二者相互动态地影响了夏季旱涝,据此建立夏季旱涝预测模型。经过1995—2008年14年的实际应用,趋势准确率为85.7%。     

三峡水库香溪河鱼类群落结构特征及历史变化

由于自然和人为因素的影响,三峡水库鱼类资源一直在发生变化,为掌握三峡水库蓄水后典型支流香溪河鱼类群落的现状及历史变化,于2020年7月—2021年4月使用多网目复合刺网和地笼对香溪河鱼类群落进行实地采样,并结合历史数据进行比较分析。研究期间共采集到鱼类55种,隶属于7目14科,鲤科鱼类种类数最多,以杂食性鱼类和湖泊定居性鱼类为主,优势种为贝氏?(Hemiculter bleekeri)、短颌鲚(Coilia bratchygnahus)、似鳊(Pseudobrama simoni)和翘嘴鲌(Culter alburnus),其相对重要性指数(IRI)分别为5502、3828、2567和1109。鱼类物种多样性指数在春季最高,夏季最低。刺网单位捕捞努力量渔获个体数和单位捕捞努力量渔获量在夏季最高,冬季最低。与三峡水库蓄水前相比,香溪河鱼类中长江上游特有鱼类减少4种,外来鱼类增加3种。湖泊定居性种类持续增加,喜流水性种类减少,鱼类优势种发生较大变动。2020—2021年香溪河鱼类组成与1987年的相似性指数为0.29,与2012—2013年的相似性指数为0.53,反映三峡水库蓄水前后香溪河...     

水库地震监测与预测技术研究项目实施情况

介绍了"水库地震监测与预测技术研究"项目在广东河源新丰江水库库区详细的实施情况,包括观测场址的勘选、台基测试、台站建设、仪器安装、数据处理等工作,总结了项目成功实施的经验。     

A statistical framework of data fusion for spatial prediction of categorical variables

With rapid advances of geospatial technologies, the amount of spatial data has been increasing exponentially over the past few decades. Usually collected by diverse source providers, the available spatial data tend to be fragmented by a large variety of data heterogeneities, which highlights the need of sound methods capable of efficiently fusing the diverse and incompatible spatial information. Within the context of spatial prediction of categorical variables, this paper describes a statistical framework for integrating and drawing inferences from a collection of spatially correlated variables while accounting for data heterogeneities and complex spatial dependencies. In this framework, we discuss the spatial prediction of categorical variables in the paradigm of latent random fields, and represent each spatial variable via spatial covariance functions, which define two-point similarities or dependencies of spatially correlated variables. The representation of spatial covariance functions derived from different spatial variables is independent of heterogeneous characteristics and can be combined in a straightforward fashion. Therefore it provides a unified and flexible representation of heterogeneous spatial variables in spatial analysis while accounting for complex spatial dependencies. We show that in the spatial prediction of categorical variables, the sought-after class occurrence probability at a target location can be formulated as a multinomial logistic function of spatial covariances of spatial variables between the target and sampled locations. Group least absolute shrinkage and selection operator is adopted for parameter estimation, which prevents the model from over-fitting, and simultaneously selects an optimal subset of important information (variables). Synthetic and real case studies are provided to illustrate the introduced concepts, and showcase the advantages of the proposed statistical framework.     

济阳坳陷新生代主要生油岩系底界面温度分布

依据济阳坳陷千余口测温井的地温梯度数据和地层岩性描述、分层数据以及钻井资料,计算了该区各生油岩系底界面的温度。统计结果表明:济阳坳陷大部分地带沙河街组地层底界面温度介于90～150℃之间,目前仍具有大量生油的温度条件,而在一些凸起地区和斜坡地带,该地层组段温度普遍小于90℃,未能达到生油的温度指标;孔店组地层也具有一定的生油温度条件。研究表明,地层温度与地层界面埋深密切相关,温度随界面埋深的增大而升高,沉积厚度大的凹陷带界面温度大于沉积厚度小的凸起区或斜坡地带,说明地层界面埋深是决定地温高低的主要控制因素,而地温梯度对地层界面温度的影响相对较小。     

1989年3月特强磁暴期间的电离层暴

用欧亚大陆地面电离层垂测站资料考察1989年3月12～16日磁暴期间的电离层暴形态及其发展变化. 特强磁暴引发的电离层暴是全球性的,但自磁层沉降的高能粒子对热层低部的加热程度及区域分布不同,因而各经度链区域内电离层暴的特征也有所差异. 本文研究表明,与理论推断对照,欧洲地区内F2层最大电子密度NmaxF2(或f0F2)并不出现正暴现象,而负暴自高纬向低纬的发展则与典型的热层环流结果相符. 此外,此磁暴过程期间在中低纬区存在明显的波动过程. 在亚洲高纬地区,磁暴初期13日有约10 h的正暴,而负暴过程则与欧洲地区类似,但不太清晰;且无波动现象. 磁暴期间,同一经度链的中低纬地区,夜间常发生多站同时的h′F突增. 本文再次证实这是一般磁暴期间常出现的普遍现象.     

The ecological distributions of N, P utilizing bacteria and heterotrophic bacteria in the moderate hypoxia zone of the Changjiang Estuary

The distributions of N utilizing bacteria (denitrifying bacteria and ammonifying bacteria), P utilizing bacteria (organic phosphobacteria and inorganic phosphobacteria) and heterotrophic bacteria in the Changjiang Estuary, and the roles of main environmental factors in distributing bacteria, are explored with observations from two cruises in June and August 2006. Comparisons between the two important periods of initial hypoxia phase (June) and developed hypoxia phase (August) show differences in both bacterial distributions and the associated main environmental factors. First, the primary group of ammonifying bacteria has larger magnitude with spatial maximum value in the hypoxic stations related to sediment in August. The phosphobacterial abundance and detection rates in August are much lower than those in June, but the denitrifying bacterial abundance becomes greater in August. However, the difference of heterotrophic bacterial abundance between June and August is not obvious. Second, main environmental factors influencing bacteria vary from initial hypoxia phase to developed hypoxia phase. Two parameters (salinity and NO₃ ^?) in surface water and five environmental parameters (pH, salinity, PO₄ ^3?, NO₃ ^? and temperature) in bottom water and surface sediment play major roles in the bacterial abundance in June, while different parameter combinations (salinity and PO₄ ^?) in surface water and different parameter combinations (DO, DOC, NO₃ ^?, PO₄ ^3? and pH) in bottom water and surface sediment play major roles in August. Moreover, the bottom bacteria distributions in area south of 31°N are related to the position of the Taiwan Warm Current in June. The bacterial abundance and distribution may respond to the environmental change in the hypoxia processes of initial phase and developed phase. During the hypoxia processes, the whole structure of bacterial functional groups probably turns to different states, causing the recycling of nutrient regeneration and aggravating hypoxia regionally.