中国地震发生频率与烈度的空间分布

考虑不同区域地震记录具有时间长度不等的特点,对“震中分布分震级网格点密集值”算法进行改进,结合 GIS 的空间分析方法将地震目录中的点数据空间化为能反映地震发生频率的栅格数据;依据地震震级和烈度的关 系以及地震烈度在空间上的椭圆衰减模型,选择逼近和近似的计算手段,并结合空间插值方法得到中国地震烈度 分布的栅格图。从地震频率分布结果上看,大致以宁夏、甘肃、四川和云南为界,中国西部地区3 级以上的地震发生 频率要高于东部地区;从地震烈度分布结果看,中国甘肃、陕西、宁夏、山西、河北、四川、云南等位于地震带内的区 域在发生地震时产生的烈度较高。     

表面多次波衰减技术在渤海海峡应用效果

浅水地震勘探对于了解近海底地质构造具有重要意义,目前已被广泛用于油气开发、近岸工程等领域。表面多次波的存在干扰了有效波信息,影响了资料品质,造成解释假象,如何有效地压制多次波,已成为浅水地震勘探中的关键问题。表面多次波衰减方法(SRME)是一种去除海面相关多次波效果较好的技术方法,但是,一般认为SRME技术并不适合于浅水区域。分析了SRME去除多次波的基本原理,并将其应用于海洋高分辨率浅水区域多次波的去除。实际处理效果表明,使用SRME技术处理后的叠加剖面多次波去除效果明显,剖面基底清楚,断面清晰。通过对SRME技术应用于浅水区域的探讨,证实了SRME技术在海洋高分辨率地震勘探浅水区域应用效果较好。     

不同蛋白源饲料对褐点石斑鱼幼鱼血细胞发生的影响

以全鱼粉作为唯一蛋白源(D1),用豆粕替代10%、20%鱼粉(D2、D3),玉米蛋白粉替代10%鱼粉(D4),啤酒酵母替代10%鱼粉(D5),配制5组等氮等能饲料,每种饲料设置3个实验组,进行56 d的养殖实验。通过血液和组织涂(印)片、细胞染色和显微观察,研究人工培育的褐点石斑鱼幼鱼外周血液白细胞的分类组成,头肾、脾脏、体肾和肝脏等4种组织中各类血细胞的发生情况,以及不同蛋白源饲料对褐点石斑鱼血细胞发生的影响。结果表明:褐点石斑鱼外周血液中的白细胞由淋巴细胞(53.30%±4.66%)、血栓细胞(35.69%±3.85%)、嗜中性粒细胞(10.34%±3.14%)、单核细胞(0.28%±0.36%)、浆细胞(0.24%±0.34%)和嗜酸性粒细胞(0.15%±0.27%)组成;组织印迹片中,未成熟的红细胞、淋巴细胞和粒细胞主要在头肾印迹片中出现,未成熟的单核细胞主要在头肾和脾脏印迹片中出现,血栓细胞在肝脏印迹片中数量最多,推断褐点石斑鱼幼鱼主要的造血组织是头肾,其次是脾脏;在4种组织中均观察到浆细胞,在体肾印迹片中观察到嗜碱性粒细胞,在肝脏印迹片中观察到巨噬细胞,在头肾印迹片中还观察到巨大原红细胞。显微观察和数据统计分析的结果都表明,投喂5种蛋白源不同的配合饲料,未对褐点石斑鱼4种组织中血细胞的发生情况造成显著影响。     

On improving tropical cyclone track forecasts using a scale-selective data assimilation approach: a case study

A dynamical downscaling approach based on scale-selective data assimilation (SSDA) is applied to tropical cyclone (TC) track forecasts. The results from a case study of super Typhoon Megi (2010) show that the SSDA approach is very effective in improving the TC track forecasts by fitting the large-scale wind field from the regional model to that from the global forecast system (GFS) forecasts while allowing the small-scale circulation to develop freely in the regional model. A comparison to the conventional spectral-nudging four-dimensional data assimilation (FDDA) indicates that the SSDA approach outperforms the FDDA in TC track forecasts because the former allows the small-scale features in a regional model to develop more freely than the latter due to different techniques used. In addition, a number of numerical experiments are performed to investigate the sensitivity of SSDA’s effect in TC track forecasts to some parameters in SSDA, including the cutoff wave number, the vertical layers of the atmosphere being adjusted, and the interval of SSDA implementation. The results show that the improvements are sensitive in different extent to the above three parameters.     

水合物赋存形式对石英砂电性特征影响的数值模拟研究

天然气水合物储层精确评价关系到储层的生产与开发过程.由于储层微观结构具有非均质性, 且水合物合成分解过程中分布形式复杂, 水合物储层物性变化规律尚不明晰, 从而难以对储层水合物饱和度进行准确预测.为明确水合物赋存模式对电性特征的影响规律, 本文基于石英砂样品采用随机模拟的方法实现了颗粒包裹型、孔隙填充型和团簇状分布三类赋存模式的水合物数字岩心构建, 并进一步提取孔径分布分析不同水合物分布模式下的微观结构变化特征, 利用有限元方法对含水合物数字岩心进行电性模拟, 结合阿尔奇公式得到适用于含水合物石英砂介质的经验参数取值, 并采用实验室内水合物合成实验电阻率测量数据与实际储层电阻率测井数据对比验证了阿尔奇经验参数取值的正确性及有效性.结果表明, 随着水合物饱和度逐渐增加, 在相同水合物饱和度下, 颗粒包裹型生长引起的微观结构变化对电传导过程的影响最为显著; 孔隙填充型水合物生长引起的孔隙结构变化对电传导过程影响最小; 不同水合物赋存形式下, 沉积物孔径分布变化规律从微观角度解释了三类分布模式的电性差异.研究结果有助于研究储层内含水合物沉积物合成分解过程中的电性特征演化规律.

     

Detection of ionospheric scintillation effects using LMD–DFA

The performance and measurement accuracy of global navigation satellite system (GNSS) receivers is greatly affected by ionospheric scintillations. Rapid amplitude and phase variations in the received GPS signal, known as ionospheric scintillation, affects the tracking of signals by GNSS receivers. Hence, there is a need to investigate the monitoring of various activities of the ionosphere and to develop a novel approach for mitigation of ionospheric scintillation effects. A method based on Local Mean Decomposition (LMD)–Detrended Fluctuation Analysis (DFA) has been proposed. The GNSS data recorded at Koneru Lakshmaiah (K L) University, Guntur, India were considered for analysis. The carrier to noise ratio (C/N₀) of GNSS satellite vehicles were decomposed into several product functions (PF) using LMD to extract the intrinsic features in the signal. Scintillation noise was removed by the DFA algorithm by selecting a suitable threshold. It was observed that the performance of the proposed LMD–DFA was better than that of empirical mode decomposition (EMD)–DFA.     

洱海叶绿素a浓度的季节动态和空间分布

2010年5月至2011年4月,对洱海叶绿素a的季节动态、空间分布及其与环境因子的关系进行研究.结果表明,水体中叶绿素a浓度存在明显的季节变化,其变化范围为4.11~24.30μg/L,年平均值为10.4±6.5μg/L,最小值出现在2011年3月,最大值出现在2010年9月.叶绿素a浓度在夏、秋季较高,冬、春季较低.在空间变化上,叶绿素a浓度在南部湖区最大,其次是北部湖区,中部湖区最低.Pearson相关系数和主成分分析表明,洱海叶绿素a浓度在不同湖区中与水温和透明度均呈极显著相关.总氮在北部和南部湖区与叶绿素a浓度均存在一定的相关性,而总磷与叶绿素a浓度在南部湖区存在一定的相关性.根据修正的卡尔森营养状态指数,洱海综合TSI值为50.6,水质处于中营养状态.     

Inverse modelling of aquifer parameters in basaltic rock with the help of pumping test method using MODFLOW software

The origin and movement of groundwater are the fundamental questions that address both the temporal and spatial aspects of ground water run and water supply related issues in hydrological systems. As groundwater flows through an aquifer, its composition and temperature may variation dependent on the aquifer condition through which it flows. Thus, hydrologic investigations can also provide useful information about the subsurface geology of a region. But because such studies investigate processes that follow under the Earth's shallow, obtaining the information necessary to answer these questions is not continuously easy. Springs, which discharge groundwater table directly, afford to study subsurface hydrogeological processes.The present study of estimation of aquifer factors such as transmissivity (T) and storativity (S) are vital for the evaluation of groundwater resources. There are several methods to estimate the accurate aquifer parameters (i.e. hydrograph analysis, pumping test, etc.). In initial days, these parameters are projected either by means of in-situ test or execution test on aquifer well samples carried in the laboratory. The simultaneous information on the hydraulic behavior of the well (borehole) that provides on this method, the reservoir and the reservoir boundaries, are important for efficient aquifer and well data management and analysis. The most common in-situ test is pumping test performed on wells, which involves the measurement of the fall and increase of groundwater level with respect to time. The alteration in groundwater level (drawdown/recovery) is caused due to pumping of water from the well. Theis (1935) was first to propose method to evaluate aquifer parameters from the pumping test on a bore well in a confined aquifer. It is essential to know the transmissivity (T = Kb, where b is the aquifer thickness; pumping flow rate, Q = TW (dh/dl) flow through an aquifer) and storativity (confined aquifer: S = bS_s, unconfined: S = S_y), for the characterization of the aquifer parameters in an unknown area so as to predict the rate of drawdown of the groundwater table/potentiometric surface throughout the pumping test of an aquifer. The determination of aquifer's parameters is an important basis for groundwater resources evaluation, numerical simulation, development and protection as well as scientific management. For determining aquifer's parameters, pumping test is a main method. A case study shows that these techniques have been fast speed and high correctness. The results of parameter's determination are optimized so that it has important applied value for scientific research and geology engineering preparation.     

闽中南罕见冬季锋前暴雨个例特征分析

利用福建省逐小时加密自动站资料、风廓线、S波段双偏振雷达与雨滴谱等新型探测资料以及NCEP逐6 h的1°×1°大气再分析资料,分析了2017年2月21—22日福建中南部一次预报失败的冬季暴雨过程。结果表明:(1)此次暴雨过程类似于锋前暖区暴雨,自2000年以来仅此一例,十分罕见,是在低空急流偏强并长时间维持的背景下产生的,并未受到南支槽和冷空气的影响。(2)闽中大到暴雨带和闽南暴雨区的对流系统相互独立,有多个对流系统影响闽中地区,仅两个对流系统影响闽南地区。降水有较明显对流特征,属暖云弱对流降水,容易导致预报员对雨强估计不足。(3)此次冬季暴雨过程的水汽主要来自南海地区,低层水汽条件与汛期暴雨相当,但整层水汽条件较汛期略差;低空急流对暖湿气流的输送使暴雨区趋于不稳定,但对流不稳定度较汛期弱。(4)高空辐散低层辐合的配置为冬季暴雨带来了有利的动力抬升条件,但暴雨区涡旋性不强,无明显正涡度柱。其中,闽中大到暴雨主要与条件性对称不稳定有关,是在湿斜压作用下倾斜上升运动中产生,而闽南暴雨区既存在对流不稳定,也存在条件性对称不稳定。     

Swarm intelligence-based solver for parameter estimation of laboratory through-diffusion transport of contaminants

Theoretical approaches are of fundamental importance to predict the potential impact of waste disposal facilities on ground water contamination. Appropriate design parameters are generally estimated by fitting theoretical models to data gathered from field monitoring or laboratory experiments. Transient through-diffusion tests are generally conducted in the laboratory to estimate the mass transport parameters of the proposed barrier material. These parameters are usually estimated either by approximate eye-fitting calibration or by combining the solution of the direct problem with any available gradient-based techniques. In this work, an automated, gradient-free solver is developed to estimate the mass transport parameters of a transient through-diffusion model. The proposed inverse model uses a particle swarm optimization (PSO) algorithm that is based on the social behavior of animals searching for food sources. The finite difference numerical solution of the forward model is integrated with the PSO algorithm to solve the inverse problem of parameter estimation. The working principle of the new solver is demonstrated and mass transport parameters are estimated from laboratory through-diffusion experimental data. An inverse model based on the standard gradient-based technique is formulated to compare with the proposed solver. A detailed comparative study is carried out between conventional methods and the proposed solver. The present automated technique is found to be very efficient and robust. The mass transport parameters are obtained with great precision.