Scenario simulation of the geohazard dynamic process of large-scale landslides: a case study of the Xiaomojiu landslide along the Jinsha River

Natural Hazards - Large-scale landslides often cause severe damage due to their long run-out distances and having disaster chain effects. Scenario simulation has been adopted in the current work in...     

Application of 3D laser scanning on NATM tunnel deformation measurement during construction

Acta Geotechnica - The 3D laser scanning technology is implemented to multi-temporally scan the lining of a NATM tunnel during construction. An improved moving average method (IMAM) is firstly...     

广东百顺地区伽马场参数特征及其与铀矿化关系

运用伽马场参数特征与铀矿化关系,结合判别分析系数和伽马频率曲线形态,对百顺地区的牛澜、烟筒岭、百顺硅化断裂带的异常点、带的找矿远景区段作了评价,简述伽马频率曲线形态与矿体空间位置的关系。     

GPS网与旧网的坐标拟合

随着GPs技术的不断普及,许多城市都在利用它对城市控制网进行改建、扩建.而旧网的坐标资料以及多年积累的成果资料还须利用,这就涉及到新旧坐标的换算问题.本文以吴江市城镇地籍测量为例.     

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强降水对厦门地震台伸缩仪的影响

对厦门地震台伸缩仪趋势变化中出现的一些异常现象的研究表明,其异常并不是前兆异常,而是强降水的影响。     

中国南海表层叶绿素a季节内变化特征及成因

对中国南海表层叶绿素a季节内变化的研究有助于深入认识其海洋特征,满足渔情预报等实际应用需求。利用卫星观测资料分析南海表层叶绿素a不同季节的季节内变化特征,结果表明南海表层叶绿素a季节内振荡强度冬季最高。冬季和春季的季节内振荡最强区域都位于吕宋岛西北侧海区,夏季和秋季振荡较强的区域偏向菲律宾群岛一侧。分析表明研究海区表层温度和表层叶绿素a 存在负相关,冬强夏弱,北强南弱。大部分海区海面高度和叶绿素a 相关性不显著,但南海东南边缘海区海面高度和叶绿素a在季节内存在正相关。冬季海盆尺度逆时针旋转的环流结构应是这些现象产生的原因。除南海东南边缘海区、海南岛东南海区和吕宋岛西侧海区之外,风应力大小和热通量均与叶绿素a 在季节内呈正相关。这显示非局地风场和海流等因素、海洋动力调整过程可能在吕宋海峡以西和南海东南边缘的表层叶绿素a 季节内变化中起到重要作用。     

中国租赁住房发展的区域差异与影响因素

加快培育和发展住房租赁市场,是新时代中国住房制度改革的重要内容。基于2000年和2010年全国分县人口普查数据,运用GIS空间统计方法和空间计量模型,实证分析了中国337个地级以上城市的租赁住房发展区域差异与影响因素。研究表明：2000—2010年,中国租赁住房发展经历了“空间分散化”向“空间集聚”的发展态势,租赁住房发展高值区向长三角和珠三角城市群、西部地区的部分区域中心城市以及北京、厦门等经济发达城市更加靠拢;中国租赁住房发展和变化存在显著的空间集聚特征,且空间集聚趋势越来越强,而不同时期的中国租赁住房发展热点区分布有所变迁;空间计量模型表明,二三产业从业人员比例、住宅价格、租售比、外来人口比例、常住人口、65岁以上人口比例、家庭户规模和平均受教育年限等因素是影响2010年中国租赁住房发展区域差异的显著因素;而2000—2010年中国租赁住房发展变化主要与常住人口、外来人口比例、人均住房面积、65岁以上人口比例、平均受教育年限和少数民族比例等因素有关。     

Assessing titanium dioxide nanoparticles transport models by Bayesian uncertainty analysis

With the rapid growth of nanotechnology industry, nanomaterials as an emerging pollutant are gradually released into subsurface environments and become great concerns. Simulating the transport of nanomaterials in groundwater is an important approach to investigate and predict the impact of nanomaterials on subsurface environments. Currently, a number of transport models are used to simulate this process, and the outputs of these models could be inconsistent with each other due to conceptual model uncertainty. However, the performances of different models on simulating nanoparticles transport in groundwater are rarely assessed in Bayesian framework in previous researches, and these will be the primary objective of this study. A porous media column experiment is conducted to observe the transport of Titanium Dioxide Nanoparticles (nano-TiO₂). Ten typical transport models which consider different chemical reaction processes are used to simulate the transport of nano-TiO₂, and the observed nano-TiO₂ breakthrough curves data are used to calibrate these models. For each transport model, the parameter uncertainty is evaluated using Markov Chain Monte Carlo, and the DREAM_(ZS) algorithm is used to sample parameter probability space. Moreover, the Bayesian model averaging (BMA) method is used to incorporate the conceptual model uncertainty arising from different chemical reaction based transport models. The results indicate that both two-sites and nonequilibrium sorption models can well reproduce the retention of nano-TiO₂ transport in porous media. The linear equilibrium sorption isotherm, first-order degradation, and mobile-immobile models fail to describe the nano-TiO₂ retention and transport. The BMA method could instead provide more reliable estimations of the predictive uncertainty compared to that using a single model.