Microtremor-based analysis of the dynamic response characteristics of earth-fissured sites in the Datong basin,China

This study conducted microtremor testing along six survey lines that cross three typical earth fissures in the Datong basin to determine the dynamic response characteristics of earth fissure sites with regard to the Fourier amplitude spectrum, response spectrum, and Arias intensity. The results show the following.(1) The predominant frequency of an earth fissure site is mainly affected by the thickness and the shear wave velocity of the soil layer and is minimally effected by the presence of an earth fissure.(2) Earth fissures have a pronounced amplification effect on dynamic response. Fourier amplitude, response acceleration, and Arias intensity are high near an earth fissure and decrease with an increase in distance from the earth fissure, tending toward stability at a distance of 20 m.(3) The area that is seriously affected by this amplification is within 6–8 m of an earth fissure, and the general affected area is farther out than this, to a distance of 25 m.(4) New construction should be avoided in an area affected by the amplification, and existing buildings in general and seriously affected areas need to be reinforced to increase their seismic fortification intensity.     

经济危机背景下对我国专业化产业区的反思——重温意大利式产业区的价值

在该文中,产业区是指从事同一生产过程不同阶段的生产和服务活动的专业化的中小企业组成特色的地方系统.在过去的10年中,我国专业化产业区和意大利式产业区的相似性已经被广泛关注.但是,我国的大量产业区因其非创新性的大批量制造而难以走出"低端道路"的困局,遭受经济危机的冲击.该文重温了意大利产业区模式.以新的视角探讨其核心价值,指出产业社区的文化根基以及持续创新的工业设计是其发展的动力源泉.在危机影响下变化的市场环境中,将大规模定制的生产模式引入产业区研究,并通过对比我国产业区与意大利式产业区,提出以设计为中心、加强技术创新与服务创新的产业区发展战略.     

Observation of hydrogen peroxide concentrations in a Japanese red pine forest

In order to study the concentrations of hydrogen peroxide (H₂O₂) and the factors controlling its concentrations, we monitored concentrations of H₂O₂ and other gases such as sulfur dioxide, ozone, and NO _x as well as meteorological factors such as air temperature, relative humidity, and wind direction/speed during eight measurement periods from 2000 to 2002 in a Japanese red pine forest in Japan. The H₂O₂ concentrations ranged from below 0.01 to 1.64 ppb, and analysis of the diurnal variation in H₂O₂ concentration showed high concentrations around noon, and low concentrations in the morning and late afternoon. The H₂O₂ concentrations were high in early summer, when O₃ concentration, temperature, and solar radiation were high, and were low in fall, when O₃ concentration, temperature, and solar radiation were low. We propose that O₃ concentration affects the production of H₂O₂ in the monitored region during the period under study, but that high H₂O₂ concentrations were sometimes caused by the transport of polluted air from urban regions. H₂O₂ concentrations decreased remarkably when SO₂ concentrations increased by transported volcanic emission on Miyake Island. In the absence of the effects of SO₂, H₂O₂ concentrations increased with increasing O₃ concentration and temperature.     

池州地区冬半年固态降水及其环流背景统计特征

基于2003－2018年池州冬半年观测资料,采用T-mode主成分客观分析法（TPCA）等方法进行固态降水与环流背景的统计分析。结果表明：池州172个固态降水日中,固态降水的主要月份占比分别是1月的44.8%、2月的27.9%和12月的16.3%;其中雨雪转换、纯雪和冻雨3类占比分别为55.2%、41.3%和3.5%。环流形势可划分为一槽一脊型（Ⅰ型）,纬向波动型（Ⅱ型）和两槽一脊型（Ⅲ型）,Ⅰ型占比最多,Ⅱ型次之,Ⅲ型较少。Ⅰ～Ⅲ型分别代表北方冷空气从中路、西路和东路南下,池州固态降水过程主要受中路冷空气影响。Ⅰ型气温最低,出现固态降水概率最高,是其它形势3倍以上;Ⅱ型气温最高,出现固态降水概率最低。除Ⅲ型外,纯雪过程中低层温度均较雨雪转换过程低2.0 ℃左右;雨雪转换过程中925 hPa温度与850 hPa基本相同,一般在-4.0～-5.0 ℃之间,而纯雪过程则较850 hPa偏高1.0 ℃左右;雨雪转换过程1000 hPa温度基本在0 ℃附近,纯雪则在0 ℃以下。925 hPa盛行东北风,850 hPa存在气旋性环流,配合700 hPa上12.0 m/s左右急流、水汽通量及水汽通量散度大值中心,有利于池州固态降水的产生。它一般属于大尺度降水,层结稳定,锋区位于700 hPa以下,低层有冷平流,切变线一般位于850～800 hPa之间。     

歧口凹陷歧北斜坡白云岩演化规律研究

在古近系沙河街组沙一段沉积期,为歧口凹陷最大湖扩期,在西南部整体古地理为宽缓的湖湾环境,气候潮湿温暖,物源供给较弱,在这种条件下,该地区发育大面积的碳酸盐岩沉积,以白云岩夹油页岩互层分布为特征。利用歧北斜坡两口重点井的岩心资料,对该区内的白云岩演化特征进行分析。研究表明,湖平面的升降决定了古地理环境,直接影响了白云岩发育的类型。歧北高斜坡区,水体较中斜坡浅,自下而上发育生屑灰岩、微晶云岩、灰质云岩、云质灰岩,表明古地理环境由粒屑滩—局限洼地—湖湾的演化过程;而在歧北中斜坡区,位于港西凸起周缘,早期主要为浅滩环境,发育灰质云岩和云质灰岩,向上过渡为微晶云岩、泥质云岩、泥岩,湖平面的多次升降,决定了该区古地理环境由浅滩—局限洼地—湖湾—半深湖的演化过程。通过地质钻探,该区在部分区域的白云岩已发现油层,证明该区白云岩储集层具有良好油气潜力,白云岩储集层已成为歧口凹陷古近系非常规油气增储的重要领域之一。     

基于逐减随机震源采样法的频率域二维黏滞声波方程全波形反演

全波形反演方法利用叠前地震波场的运动学和动力学信息重建地下速度结构,具有揭示复杂地质背景下构造与岩性细节信息的潜力。然而,巨大的计算量是阻碍其发展的一个瓶颈问题。为此,研究者们提出了震源编码技术来减少计算量,但是此方法在模型更新过程中会引进随机串扰噪声,降低反演结果准确性。所以,在保证计算精度的情况下,本文提出了采用逐减随机震源采样的方法来高效计算全波形反演问题。笔者将此方法应用于频率域二维黏滞声波波动方程全波形反演,开始了在频率域进行随机震源采样类方法的研究,计算过程中共使用了依次增大的8个频率段;并应用Overthrust模型来验证此类随机震源采样法的正确性。实验结果表明：基于逐减随机震源采样法的反演结果与实际Overthrust模型的拟合误差为0.065 65,而应用基于全部震源的全波形反演方法得到的反演结果与实际Overthrust模型的拟合误差为0.064 64,两者差别不大;但计算用时由740 min减少到291.2 min,即计算效率提高了2.54倍。为了更好地确定方法的有效性,将其应用于Marmousi模型进行试算。模型试算结果表明：基于逐减随机震源和基于全部震源得到的反演结果与实际Marmousi模型的拟合误差分别为0.080 12和0.078 97,相差不大;但计算用时由1 218.9 min减少到274.4 min,计算效率提高了4.44倍。综上,在保证反演精度的情况下,基于逐减随机震源采样法的频率域全波形反演方法大大减少了计算量,具有不可替代的计算优势,并且没有引进随机串扰噪声。     

Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province,Vietnam

The groundwater potential map is an important tool for a sustainable water management and land use planning,particularly for agricultural countries like Vietnam. In this article, we proposed new machine learning ensemble techniques namely Ada Boost ensemble(ABLWL), Bagging ensemble(BLWL), Multi Boost ensemble(MBLWL),Rotation Forest ensemble(RFLWL) with Locally Weighted Learning(LWL) algorithm as a base classifier to build the groundwater potential map of Gia Lai province in Vietnam. For this study, eleven conditioning factors(aspect, altitude, curvature, slope, Stream Transport Index(STI), Topographic Wetness Index(TWI), soil, geology,river density, rainfall, land-use) and 134 wells yield data was used to create training(70%) and testing(30%)datasets for the development and validation of the models. Several statistical indices were used namely Positive Predictive Value(PPV), Negative Predictive Value(NPV), Sensitivity(SST), Specificity(SPF), Accuracy(ACC),Kappa, and Receiver Operating Characteristics(ROC) curve to validate and compare performance of models. Results show that performance of all the models is good to very good(AUC: 0.75 to 0.829) but the ABLWL model with AUC = 0.89 is the best. All the models applied in this study can support decision-makers to streamline the management of the groundwater and to develop economy not only of specific territories but also in other regions across the world with minor changes of the input parameters.     

基于DBSCAN算法的孔深测量与地层反演理论研究

论文针对地质勘探取心工况复杂、钻进深度大、事故发生率高、岩性复杂、钻进参数难以获取、无法实时掌握钻进状态的难题,在充分调研现有工况识别技术的采集原理、功能种类、现场实测的基础上,结合钻探智能化、自动化的发展方向,运用硬件与软件结合的思想,设计了实时测量钻探参数的方案。论文首次提出使用DBSCAN（针对噪声空间基于分布密度进行聚类的算法）密度聚类法分析钻进参数,结合光电编码器增量的正负性进行工况判别,以获取钻头位置以及钻孔深度。该方案可以判别钻进状态,获取钻进工艺参数,将测量数据作为所钻地层的可钻参数来反演地层。钻机的自动化、智能化研究能获取大量地层资料,有利于推进钻进工艺学发展,实现从经验钻探到智能钻探进的突破。同时,为智能钻进系统奠定基础。     

高黎贡山羚牛生境适宜性评价及廊道建设

以高黎贡山羚牛为研究对象,选取了植被类型、植被覆盖度、海拔、坡度、水源、土地覆被、主要道路、居民点8个影响因子,基于GIS技术,构建阻力面,从而探测多因子影响作用下高黎贡山羚牛适宜生境。结果表明：区域内羚牛的适宜生境面积整体占比较少,适宜区域主要分布在研究区的中西部及西南地区,在北部区域也有零散分布。羚牛的迁徙受到人类活动的干扰及道路阻隔的影响,其生境遭到一定程度的破坏。结合现有羚牛栖息地分布及最小阻力模型,建立区域内羚牛的生态廊道,结果显示：廊道主要分布于高黎贡山保护区南段、马边瓦底中段、子巴、俄恰沙迪、马士打亚窟、其期北段、四克洛娃俎及木当一带。