杭州湾大桥岩土工程勘察

文章对杭州湾大桥的勘察工作进行了全面的回顾，并对杭州湾地区地质结构作概略的介绍。     

标度律视角的城市效能测度及中国城市多维要素效能分析

"城市标度律"(urban scaling laws)揭示了城市系统中城市人口和城市要素间普遍存在的非线性规模缩放关系,但目前大多数城市评价忽视了这种关系,常使用人均指标比较不同规模的城市,这会导致评价结果偏差.为此,考虑城市人口和城市要素间的非线性规模缩放关系构建了要素效能指数,用以修正城市规模的影响,度量城市要素实...     

对矿物包裹体溶液性质的新认识——兼论含矿溶液是酸性溶液的地质证据

对金属矿床成矿溶液的性质 ,特别是 pH值 (酸碱度 )的确定 ,是认识含矿溶液的成因、成矿条件和成矿机理的关键。目前对成矿溶液性质的研究主要局限在对围岩蚀变矿物包裹体的测定方面 ,并得出近中性热卤水成矿的结论。作者认为 ,多数围岩蚀变矿物的包裹体溶液不能代表原成矿溶液的性质 ,“近中性的热卤水成矿”的认识有误 ,应是酸性水形成的含矿溶液成矿 ,并从矿物包裹体溶液的特征、Roedder的高金属含量的矿物包裹体溶液的发现、氢氧同位素资料、矿物包裹体中高卤水溶液的起源以及成矿溶液的演化机理等方面论述了酸性金属含矿溶液的成因及成矿演化过程。     

大兴安岭绿林林场一带兴华渡口岩群原岩恢复及大地构造环境探讨

兴华渡口岩群作为额尔古纳地块的基底,其变质年龄、原岩类型及大地构造背景一直是地质学家关注的热点。以大兴安岭北段绿林林场一带兴华渡口岩群作为研究对象,利用锆石U-Pb同位素测年限定了原岩的变质时代,结合岩相学与地球化学综合分析方法开展原岩恢复,并进一步讨论了其形成的大地构造背景。研究认为兴华渡口岩群主要由斜长角闪岩类、浅粒岩类、变粒岩类和石英岩类组成;斜长角闪岩类原岩为基性火山岩,浅粒岩类原岩为英安质凝灰岩,石英岩和变粒岩原岩为泥质粉砂岩;斜长角闪岩类亏损非活动性微量元素Ta、Nd、P,大地构造环境属岛弧环境;浅粒岩类主要亏损Ta、Nd、P、Sr、Ti等元素,形成于大陆边缘造山带环境。绿林林场一带兴华渡口岩群的变质年龄下限为774.1±3.8 Ma。      

A Closure Study of Aerosol Hygroscopic Growth Factor during the 2006 Pearl River Delta Campaign

Measurements of aerosol physical, chemical and optical parameters were carried out in Guangzhou, China from 1 July to 31 July 2006 during the Pearl River Delta Campaign. The dry aerosol scattering coefficient was measured using an integrating nephelometer and the aerosol scattering coefficient for wet conditions was determined by subtracting the sum of the aerosol absorption coefficient, gas scattering coefficient and gas absorption coefficient from the atmospheric extinction coefficient. Following this, the aerosol hygroscopic growth factor, f(RH), was calculated as the ratio of wet and dry aerosol scattering coefficients. Measurements of size-resolved chemical composition, relative humidity (RH), and published functional relationships between particle chemical composition and water uptake were likewise used to find the aerosol scattering coefficients in wet and dry conditions using Mie theory for internally- or externally-mixed particle species [(NH₄)₂SO₄, NH₄NO₃, NaCl, POM, EC and residue]. Closure was obtained by comparing the measured f(RH) values from the nephelometer and other in situ optical instruments with those computed from chemical composition and thermodynamics. Results show that the model can represent the observed f(RH) and is appropriate for use as a component in other higher-order models.     

西北太平洋九州-帕劳海脊北部KPR12岩芯40万年来有机碳来源、埋藏特征及其环境响应

西北太平洋海陆相互作用强烈,受黑潮和亚洲大陆风尘输入影响显著,是研究海洋沉积物中有机碳埋藏与陆源输入、海洋初级生产力和海洋环境演化关系的理想靶区。本研究基于采自九州-帕劳海脊北部的重力活塞647 cm长的KPR12岩芯,分析了总有机碳（TOC）、总氮（TN）、有机碳稳定碳同位素组成（δ¹³C_TOC）、蛋白石（Opal）以及粒度等指标,初步探讨了近40万年来轨道尺度沉积有机碳的来源、埋藏特征及其影响机制。岩芯的TOC含量平均值为0.214%,呈冰期较高、间冰期较低的旋回特征。岩芯沉积物粒度的不同端元反映了研究区风尘输入大致呈冰期较高的趋势。岩芯的δ¹³C_TOC（-25.24‰~-21.04‰,平均值为-22.59‰）显示有机质以海源为主（约62%）,海源有机碳含量趋势与TOC的变化一致。研究区不同时期陆源物质的输入受风尘输送和黑潮的综合控制,黑潮增强可能对该区间冰期陆源有机碳贡献的升高有一定影响。岩芯中TOC与Opal含量的相关性分析表明,海洋初级生产力可能不是控制该岩芯有机碳含量变化的主要原因。冰期-间冰期旋回中的深层水通风条件、黑潮和北太平洋中层水的发育以及陆源细颗粒物质输入可能共同影响着本区沉积有机碳的降解与埋藏保存。

     

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.     

机载扫描激光地面测绘系统分析

本文根据机载扫描激光地面测绘系统的功能和要求，分析了它的工作原理，概括出该系统中扫描激光测距的特点，介绍了一种最新的机载扫描激光地面测绘系统，最后提出了几个需要继续研究的问题     

陕北煤炭资源可持续发展之开发思路

论述了陕北煤炭资源主要特点及开发引起的环境问题,从生态环境保护角度探讨了矿区开发的可持续发展问题,认为应该坚持统一规划、合理布局、适度规模、分散开发、就近转化、保水采煤的开采总方针,坚决杜绝小煤窑的滥采乱挖,组建大型集团公司统一开发,作好煤炭液化、气化、水与煤关系的研究工作,确保矿区经济发展与生态环境相协调。     

三峡库区消落区土壤磷释放的环境影响因子

以三峡库区消落区万州段为试验基地,选取释磷能力较强的紫色冲积土,根据三峡水库消落带的"干湿交替"空间和时间特征,进行万州断面土壤磷释放的影响因子的实验室模拟试验和万州江面淹没的对照试验。研究发现,随着淹水时间的变化,各种形态的磷在前5~10d各形态磷变化有相当的差异,随后变化趋势趋于稳定。TP有降低的趋势,土壤磷有一定的释放。野外研究表明Olsen-P在淹水10周左右到达最大值,以后缓慢降低。淹水时土壤Olsen-P增加,干燥后降低。多次淹水时每次淹水后土壤的有效磷水平都略有增加,落干后相较上次落干后有效磷水平降低,最后一次淹水后相较与初始时Olsen-P水平低16.7%。随着淹水深度增加,土壤的Olsen-P水平在淹水时由淹水前20.53mg/kg提高到43.23mg/kg,增加110.6%。当上覆水磷浓度较低时(<2mg/L),磷吸附到达平衡的时间较短,约需要6周。当上覆水磷浓度较高(>2mg/L)时,磷吸附到达平衡的时间较长。微生物活动对淹水土壤的磷释放有一定影响,有微生物时磷的释放高于无微生物者0.048mg/L。种植植物的土壤在淹水后Olsen-P含量大于土壤直接淹没时的释放量,种植狗牙根(Cynodondactylon)和野地瓜藤(Ficustikoua)的土壤中Olsen-P分别较未种植物土壤释放量高出21.5%和12.7%。