Influence of aquatic plants on the hydrogen isotope composition of sedimentary long-chain n-alkanes in the Lake Qinghai region,Qinghai-Tibet Plateau

The hydrogen isotopic composition(δD) of leaf wax long-chain n-alkanes(C27, C29, and C31) from lacustrine sediments has been widely applied to reconstruct terrestrial paleoclimatic and paleohydrological changes. However, few studies have addressed whether the aquatic-derived n-alkanes can affect the δD values of lake sedimentary long-chain n-alkanes, which are usually regarded as a recorder of the terrestrial hydrological signals. Here we systematically investigated δD values of long-chain n-alkanes from modern aquatic plants, both near-shore and off-shore surface sediments, surrounding terrestrial plant litters, as well as river water and lake water in Lake Qinghai and its satellite lakes on the northeastern Qinghai-Tibet Plateau. Our data showed that(i) δD values of long-chain n-alkanes from aquatic plants varied from-184‰ to-132‰ for n-C27, from-183‰ to-138‰ for n-C29, and from-189‰ to-130‰ for n-C31, respectively, with no significant differences among the three n-alkanes homologues;(ii) δD values of long-chain n-alkanes from aquatic plants were generally more positive than those from surrounding terrestrial plants, possibly because that they recorded the D-enrichment of lake water in this semi-arid region;(iii) δD values of long-chain n-alkanes from surface sediments showed significant differences among the three n-alkanes homologues, due to the larger aquatic input of n-C27 to the sedimentary lipid pool than that of n-C31, and(iv) n-C27 δD values of near-shore aquatic plants and near-shore sediments are more negative than those from off-shore as a result of lower δD values of near-shore lake water. Our findings indicate that in this region(i) the offset between sedimentary n-C27 and n-C31 δD values(ΔδDC27-C31) could potentially be used to evaluate if sedimentary long-chain n-alkanes are derived from a single source;(ii) while δD values of n-C27 may be influenced by lake water hydrological changes, sedimentary n-C31 is derived predominantly from terrestrial plants and thus its δD can serve as a relatively reliable indicator for terrestrial paleoclimatic and paleohydrological reconstructions.     

南堡凹陷南部沙一段控砂模式

南堡凹陷盆地内部构造特征复杂,砂体时空分布差异较大。为了明确砂体分布规律,首先对南部缓坡带构造-沉积背景进行研究和岩心相观察,识别了沙一段辫状河三角洲前缘砂体;进而通过对南部缓坡带层序地层格架的建立、沉积学研究和地震地质解释,发现沙一段砂体同时受到顺源和逆源两种同沉积断裂坡折带类型控制。其中,顺源坡折带控制了断槽物源通道的走向,逆源坡折带改变了水流的流向,阻止了砂体的运移。据此,建立了南堡凹陷南部缓坡带沙一段同沉积断裂的控砂模式,得出沙一段砂体具有"沙垒田凸起供砂,断槽物源通道输砂,逆源坡折带阻砂和同沉积洼槽带聚砂"的发育特点。     

挤密条件下U型地埋管换热器换热效率的理论分析及数值模拟

土层的导热系数是影响地源热泵地埋管换热器换热效率的重要因素之一,与土样的密度密切相关。为了提高地源热泵换热器换热效率,本文基于柱热源理论,建立了挤密钻进条件下换热器的传热理论模型,对换热器的换热效率进行了计算,并利用Ansys有限元软件对土层挤密条件下换热器的换热效果进行了数值分析。结果表明,与传统方法相比,土层挤密可有效降低钻孔周围的热阻,U型管换热器的换热效率可提高17%~20%。     

2000-2012年陕甘宁黄土高原区地表蒸散时空分布及影响因素

分析陕甘宁黄土高原区地表蒸散变化特征及其影响因素,可以为区域水资源规划、生态环境改善提供依据。本文利用MOD16蒸散数据,统计分析了陕甘宁黄土高原区2000-2012年地表实际蒸散量的时空变化特征,并结合国家气象站点观测数据和基于像元的相关分析法探讨了其影响因素。结果表明:(1) 2000-2002年蒸散量迅速上升,在2003年达到最高值378.6 mm, 2003-2006年蒸散量呈下降趋势,2006年之后蒸散量呈现缓慢上升趋势。(2) 近13年来,陕甘宁黄土高原区多年平均蒸散量具有明显的空间差异,蒸散量自西北至东南递增,最南部的六盘山、子午岭、黄龙山地是3个主要的高值区;年蒸散量以夏季最多,其次是春季,秋季和冬季最少,且季节蒸散的分布与年蒸散的空间分布格局基本一致。(3) 陕甘宁黄土高原区蒸散量草地和耕地的贡献率最高,密灌丛、疏灌丛次之,常绿针叶林、森林草原贡献率则较小。(4) 陕甘宁黄土高原区动力因素对地表蒸散量影响以正相关为主,风速对该区影响较大;热力因素对地表蒸散量影响以负相关为主,其中气温与蒸散在空间上呈负相关的区域较大,日照时数与蒸散在空间上的负相关区域的面积次之;水分条件(降水量、相对湿度)对蒸散的影响也以正相关为主。     

礁滩体与建设性成岩作用

礁、礁丘、丘同属碳酸盐建隆,礁、滩是重要勘探目的层。但各自在沉积组分、组构、环境和时空分布,以及油气地质条件上迥然不同,因而无论从理论还是勘探实践上,都有必要将其各成体系划分开来。礁滩自身为好储集岩,当建设性成岩作用叠加后可形成好的储层。碳酸盐岩优质储层形成,主要受沉积微相与建设性成岩作用两大因素控制。前者是基础,并以高能的礁滩相带为最好;后者主要包括破裂、白云石化和溶蚀三大类,并以白云石化或溶蚀为最优,其中的溶蚀分布最广泛、影响最深刻而对优质储层形成起决定性作用。礁滩储层中的古岩溶类型最为丰富多彩,包括同生期、准同生期、表生期和埋藏期热流体岩溶的所有类型,白云岩化礁滩体也不例外。其中,同生-准同生期岩溶的形成机制与礁滩沉积时高频层序旋回向上变浅序列的短暂暴露淋溶有关,表生期岩溶则受控于礁滩沉积后三级层序旋回Ⅰ型界面的暴露淋溶。由此,导致礁滩储层中除了可以也是(碳酸盐岩中)唯一保存原生孔隙外,还发育了次生溶蚀孔洞缝和大型溶洞。礁丘、灰泥丘尤其是丘间洼地中发育高有机质丰度烃源岩;它们自身没有有效的原生孔隙,但岩溶作用可以形成次生孔隙。     

A new discovery of transition rules for cellular automata by using cuckoo search algorithm

This paper presents an intelligent approach to discover transition rules for cellular automata (CA) by using cuckoo search (CS) algorithm. CS algorithm is a novel evolutionary search algorithm for solving optimization problems by simulating breeding behavior of parasitic cuckoos. Each cuckoo searches the best upper and lower thresholds for each attribute as a zone. When the zones of all attributes are connected by the operator ‘And’ and linked with a cell status value, one CS-based transition rule is formed by using the explicit expression of ‘if-then’. With two distinct advantages of efficient random walk of Lévy flights and balanced mixing, CS algorithm performs well in both local search and guaranteed global convergence. Furthermore, the CA model with transition rules derived by CS algorithm (CS-CA) has been applied to simulate the urban expansion of Nanjing City, China. The simulation produces encouraging results, in terms of numeric accuracy and spatial distribution, in agreement with the actual patterns. Preliminary results suggest that this CS approach is well suitable for discovering reliable transition rules. The model validation and comparison show that the CS-CA model gets a higher accuracy than NULL, BCO-CA, PSO-CA, and ACO-CA models. Simulation results demonstrate the feasibility and practicability of applying CS algorithm to discover transition rules of CA for simulating geographical systems.     

Coarse-grained parallel genetic algorithm applied to a vector based land use allocation optimization problem: the case study of Tongzhou Newtown, Beijing, China

A Coarse-Grained Parallel Genetic Algorithm (CGPGA) is utilized to search for near-optimal solutions for land use allocation optimization problems in the context of multiple objectives and constraints. Plans are obtained based on the trade-off among three spatial objectives including ecological benefit, accessibility and compatibility. The Multi-objective Optimization of Land Use model integrates these objectives with the fitness function assessed by reference point method (goal programming). The CGPGA, as the first coupling in land use allocation optimization problems, is tested through the experiments with one processor, two processors and four processors to pursue near-optimal land use allocation scenarios and the comparison to these experiments based on Generic Genetic Algorithm (GGA), which clearly shows the robustness of the model we proposed as well as its better performance. Furthermore, the successful convergent (near-convergent) case study utilizing the CGPGA in Tongzhou Newtown, Beijing, China evinces the capability and potential of CGPGA in solving land use allocation optimization problems with better efficiency and effectiveness than GGA.     

日本Mw9.0地震前的舒曼谐振异常分析

2011年3月11日日本本州岛东海岸附近海域发生了Mw9.0地震.基于中国云南的舒曼谐振(SR)观测站的磁场观测数据,分析了与该次地震有关的SR疑似异常现象.分析表明,震前3 4天低阶谐振开始出现比较明显的幅度增强现象,以2011年3月8日(北京时间)这一天的现象最明显,南北向在7:00-10:00和12:00-15:00异常比较明显,而东西向只在12:00-15:00异常相对比较强.根据对2011年3月1-11日及对应每天前后各15天共41天的数据的联合分析,3月8日部分时间段的低阶谐振磁场差明显高于一倍甚至两倍标准差;相比而言,正常的一天内各阶磁场差要明显低于一倍标准差.最后,根据一些日本地震学者提出的SR异常机理,进一步分析了在云南观测站能观测到日本地震异常的可能性.结果表明,在永胜观测站可以观测到日本地震引起的一阶到三阶SR异常,与发现的异常主要集中在低阶的现象比较吻合.     

芦山MS7.0地震前远、 近场形变 时空演化特征研究

应用芦山M_S7.0地震震中附近跨断层及连续形变观测资料, 分析了芦山地震前不同阶段地形变变化的特点, 讨论了震中附近区域异常时空演化过程. 结果表明: ① 自2013年1月起, 沿鲜水河断裂带一些跨断层基线观测到显著的加速转折变化, 沿安宁河、 则木河断裂带个别场地的跨断层水准基线, 2010年以来出现的巨幅异常等是突出的场兆变化; 沿龙门山断裂带一些水准观测在汶川M_S8.0地震后持续的调整变化具有近震源区变形特征. ② 鲜水河、 龙门山和安宁河3条主要断裂围成的三叉口地区, 地倾斜、 应变、 重力及断层水准和蠕变观测临震前均未有显著的异常变化, GPS水平、 垂直位移年速率最小, 该地区是形变变化或形变异常分布的“空区”. ③ 在对近场与远场多种连续形变数据通过傅里叶变换提取年周期成分后发现, 临震前2—3年近震源区域的地倾斜、 重力年变化幅度不是增大, 而是减小. 芦山M_S7.0地震前观测到的形变前兆现象特征与汶川M_S8.0地震等震前的前兆现象较为接近. 因此, 芦山地震前近震源区及外围形变异常分布特征不是个别的现象.      

An assessment of three satellite-based precipitation data sets as applied to the Thailand region

The study examines three satellite-based data sets to estimate long-term precipitation for the Thailand region: the Tropical Rainfall Mapping Mission (TRMM) 3B43, the Climate Prediction Centre morphing technique (CMORPH), and a locally developed regression model using the geostationary meteorological satellite (GMS) covering the Thailand region. Data for the first two sets were available at a spatial resolution of 0.25° × 0.25°, while the local regression model used data from the GMS at a resolution of 5 km × 5 km. The statistical regression model was developed by relating long-term monthly average precipitation from 27 rain gauge stations with concurrent satellite data in the visible and thermal infrared bands. The model was then tested against independent data from 27 rain gauge stations. Satellite/rain gauge ratios were estimated, and a smooth spline surface was used to correct the error from the model. Data from the three approaches were compared with a rain gauge network. The TRMM relation performed better than CMORPH, and the performance for GMS was comparable to TRMM with root mean square different and mean bias difference of 33.6 and 4.2%, respectively. The locally developed regression model was used to produce monthly and yearly total rainfall maps from the GMS data for the entire country.