新疆三塘湖盆地牛圈湖区块异常低压成因及压力演化定量分析

三塘湖盆地牛圈湖区块中生界侏罗系西山窑组储层具有典型的异常低压油藏特征,晚白垩末期储层达到最大埋深,此时下部芦草沟组烃源岩演化程度达到最大,随着油气持续向储层充注,此时地层压力达到最大,可达30.33~50.74MPa。本文从引起油藏异常低压的主要因素入手,定量分析了构造抬升与地层剥蚀、地层温度降低、成岩作用中的"耗水作用"以及矿物蚀变引起的自生体积缩小等因素对地层压力的影响。这些因素共同作用导致了地层压力降低,其中溶蚀作用中矿物蚀变所形成的"耗水作用",使地层压力下降24.4%~37.1%,是造成储层异常低压的首要因素,同时矿物蚀变导致自身体积缩小并导致储层压力下降16.5%~24.8%,地层温度降低和构造运动对储层压力降低影响相对较弱,降低幅度分别为7.9%~8.6%和4.8%~8.1%。以上种种因素的共同作用,使得地层压力下降17.45~37.85MPa,最终形成现今异常低压的分布格局。     

2015年汛期气候预测先兆信号的综合分析

文章全面回顾了发布2015年汛期预测时考虑的先兆信号及其应用情况。2015年春夏季厄尔尼诺事件进一步发展,并由中部型向东部型转变,热带印度洋为一致偏暖模态发展;冬、春季北大西洋三极子为正位相;冬、春季北极海冰较常年略偏少,南极海冰偏多;冬季欧亚积雪增量略少,青藏高原积雪略多但气温偏高。通过诊断分析,认为2015年汛期预测的主导外强迫信号是太平洋厄尔尼诺事件和印度洋海温一致偏暖模态。同时参考动力气候模式的预测,在4月初的预报中,重点考虑了厄尔尼诺事件的强度和空间型变化对东亚夏季风环流的影响,有利于东亚夏季风偏弱,西太平洋副热带高压偏强偏西,季风季节内进程偏晚,我国降水呈南多北少型。在5月底的订正预报中,进一步考虑热带印度洋偏暖模态对副热带高压偏强偏西偏南的影响,以及南半球越赤道气流强度偏弱特征及对夏季风季节进程和强度的影响。经过综合分析,准确地预测了2015年东亚夏季风偏弱、我国夏季降水南多北少的布局,以及季节内主要气候事件的演变。最后对汛期气候预测存在的不足进行了初步分析和讨论。     

内蒙古河套灌区春玉米作物系数试验研究

作物系数曲线是估算作物生长季耗水量变化的重要参数。基于2013年4—9月内蒙古巴彦淖尔市临河区田间水分试验和1994—2013年气象站观测资料,利用水量平衡法反求春玉米作物系数,分析生长季内的变化规律, 建立动态模拟方程,并与联合国粮农组织 (FAO) 分段直线法结果进行比较, 提出胁迫条件下作物系数的叶面积修正方法。结果表明:玉米作物系数随发育进程可用三项式曲线描述,变化趋势与产量水平无关, 但随产量增高而变幅增大;以出苗后相对积温为时间变量建立模拟方程效果较好,决定系数 (R2) 均在0.92以上;模拟计算出各站点最大 (1.30~1.48) 和平均 (0.831~0.919) 作物系数,与FAO分段直线法计算的典型值和区间值基本一致,生长中期平均相对误差为3.4%~7.2%;提出利用相对叶面积指数修正作物系数的计算方法;通过2014年实例检验,土壤水分模拟值与实测值的平均相对误差为6.3%,相对误差小于15%的占95.8%。     

利用多光谱卫星遥感和深度学习方法进行青藏高原积雪判识

青藏高原积雪对全球气候变化十分重要,针对已有积雪遥感判识方法中普遍采用的可见光与红外光谱数据易受复杂地形与高海拔影响,导致青藏高原地区积雪判识精度较低的问题,提出了一种基于多光谱遥感与地理信息数据特征级融合的积雪遥感判识方法:以风云三号卫星可见光与红外多光谱遥感资料与多要素地理信息作为数据源,由地面实测雪深数据与现有积雪产品交叉筛选出样本标签,构建并训练基于层叠去噪自编码器(SDAE)的特征融合与分类网络,从而有效辨识青藏高原遥感图像中的云、积雪以及无雪地表。经地面实测雪深数据验证,该方法分类精度显著高于使用相同数据源的FY-3A/MULSS积雪产品,略高于国际主流积雪产品MOD10A1与MYD10A1,并且年均云覆盖率最低。试验结果表明该方法可有效地减少云层对积雪判识的干扰,提升分类精度。     

历史数据和强化学习相结合的低频轨迹数据匹配算法

针对低频(采样间隔大于1min)轨迹数据匹配算法精度不高的问题,提出了一种基于强化学习和历史轨迹的匹配算法HMDP-Q,首先通过增量匹配算法提取历史路径作为历史参考经验库;根据历史参考经验库、最短路径和可达性筛选候选路径集;再将地图匹配过程建模成马尔科夫决策过程,利用轨迹点偏离道路距离和历史轨迹构建回报函数;然后借助强化学习算法求解马尔科夫决策过程的最大回报值,即轨迹与道路的最优匹配结果;最后应用某市浮动车轨迹数据进行试验。结果表明:本文算法能有效提高轨迹数据与道路匹配精度;本算法在1min低频采样间隔下轨迹匹配准确率达到了89.2%;采样频率为16min时,该算法匹配精度也能达到61.4%;与IVVM算法相比,HMDP-Q算法匹配精度和求解效率均优于IVVM算法,16min采样频率时本文算法轨迹匹配精度提高了26%。     

Geological Characteristics and Stability Evaluation of Wanjia Middle School Slope in Wenchuan Earthquake Area

To investigate the formation mechanism and the stability of Wanjia middle school slope in Wenchuan Earthquake Area, the macroscopic geological characteristics and the failure process of the landslide are researched by engineering geology analysis method, limit equilibrium method, and finit element method. The results show that after the Wenchuan Earthquake, retaining walls, houses and other infrastructure on the foot of Wanjia middle school slope were severely destroyed, 10 cm wide tension fracture appeared at the trailing edge of the slope. Wanjia middle school slope is a type of medium-sized soil landslide. The area of the deformation body is about 19,314 m², the total volume of the deformation body is about 23 × 10⁴ m³. There may be two potential sliding surfaces in the unstable slope: shallow and deep landslide. The analysis results of the limit equilibrium method and the finite element method show that: under dead weight, dead weight + rainstorm, dead weight + earthquake conditions, the plastic zone occurs mainly at the middle part or the trailing edge of the slope, and it doesn’t fully cut through the deep landslide body, so the deep landslide is stable. However, under rainstorm or earthquake conditions, the plastic zone almost completely cut thorough the shallow landslide body, it shows that the shallow landslide is in the understable–basic stable state. It is found that the results of finite element method is concordant with the results of the limit equilibrium method (F _s = 1.06–1.29, the shallow landslide is in the basic stable–stable state). The calculation results show that shallow landslides are likely to occur in Wanjia middle school slope during a rainstorm or an earthquake, so monitoring and control of the slope should be strengthened. The shallow landslide should be managed by some measures, such as anti slide pile retaining structures and drainage works, and the dangerous rock bodies on the slope surface should be cleaned up.     

动力学模型预测深海鲣鱼(Katsuwonus pelamis)调理食品常温下的货架期

为了预测鲣鱼(Katsuwonus pelamis)调理食品的货架期,将鲣鱼调理食品贮藏在25°C、30°C、35°C温度条件下,通过测定在贮藏期间菌落总数、挥发性盐基氮、过氧化值三个指标的变化,分别对这三个指标与贮藏时间、温度建立一级动力学模型,来预测鲣鱼调理食品的货架期。经计算得出,菌落总数预测模型中的活化能(Ea)及指前因子(k0)分别为30.96 k J/mol和2.06×103,挥发性盐基氮预测模型中的的活化能及指前因子分别为24.35 k J/mol和75.1,过氧化值预测模型中的活化能及指前因子分别为48.75 k J/mol和2.92×106。在32°C和37°C条件下验证动力学模型,结果表明相对误差分别为–5.52%和–6.45%,准确性较好。进一步推算得出,在18°C和23°C常温下贮藏鲣鱼调理食品,产品的货架期为209d和172d。     

Factors driving riverbed scouring and sedimentation in the Bayangaole to Toudaoguai reaches of the Upper Yellow River

The Inner Mongolia reaches of the Yellow River face problems of severe sedimentation caused by a variety of complex factors. The sedimentation process in those reaches has been characterized using the sediment balance method, and the key factors affecting the process have been analyzed using the correlation analysis method. The results show that during the period 1952–2012 the Bayangaole (Bayan Gol) to Toudaoguai reaches in Inner Mongolia have undergone successive processes of accumulative sedimentation, then relative balance, and then accumulative sedimentation once again. The total annual sedimentation is 12.0341×10⁸ m³, of which accumulations from July to October account for 95.1% and the reaches from Sanhuhekou to Toudaoguai account for 98.5%. The main factor affecting scouring and sedimentation of the Bayangaole to Sanhuhekou reaches is the combined water and sediment condition. The critical conditions for equilibrium are an incoming sediment coefficient < 0.007 kg·s·m^–6 and a flow discharge > 700 m³·s^–1. The main factor affecting scouring and sedimentation of the Sanhuhekou to Toudaoguai reaches is the incoming sediment from the tributaries on the south bank and the combined water and sediment condition of the main stream. The critical conditions of the main stream for maintaining equilibrium status are a flow discharge of the main stream exceeding 800 m³·s^–1 and a comprehensive incoming sediment coefficient < 0.005 kg·s·m^–6. The incoming sediment from the tributaries has little impact on the main stream when the annual sediment load is less than 0.1×10⁸ t. The incoming sediment coefficient of the main stream and the incoming sediment from the tributaries both play vital roles in the riverbed evolution of the Inner Mongolia reaches, but the latter contributes the most.