A model involving meteorological factors for short- to medium-term,water-level predictions of small- and medium-sized urban rivers

Natural Hazards - With the increase in extreme weather, cities, especially those with small- and medium-sized urban rivers with protected areas smaller than 200 square hectares, are experiencing...     

Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence

Natural Hazards - Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based...     

应用S930树脂富集薄样-X射线荧光光谱现场分析环境水体中8种重金属的方法研究

使用便携式X射线荧光光谱法结合富集技术已能分析液体样品中近20种金属元素,但检出限相对较高(0.1~100μg/L)、富集操作繁多、一种富集法可测元素种类较少等因素制约了该技术的发展。本文研究了一种适应于现场测试环境水样的XRF分析方法。使用20 mg S-930螯合树脂对100 m L水体中8种重金属(V、Mn、Fe、Co、Ni、Cu、Zn和Pb)进行预富集,控制溶液p H=4,搅拌30 min,经真空抽滤系统过滤制得均匀薄样,再使用自制的双层膜包夹样品盒并利用小型台式波长色散XRF测定。结果表明,8种元素标准曲线的相关性R20.997,检测范围为10~1000μg/L,检出限为1.0~6.2μg/L,方法精密度(RSD,n=12)小于5%,加标回收率为80%~120%;标准水样和模拟水样的测定结果分别与标准值和理论值基本一致。本方法巧妙地使用双层聚丙烯膜包夹薄试样的制样方法,较好解决了薄膜样品的污染等问题,简化了水样的预富集操作,制备的树脂薄样可直接供XRF测量。方法检出限较低,稳定性较好,适用于检测Ⅰ~Ⅴ类水体中Fe、Co、Ni和Cu,Ⅱ~Ⅴ类水体中V和Zn,Ⅲ~Ⅴ类水体中Mn和Pb,基本具备对8种重金属污染水体进行环境监测、水质调查等现场分析的能力。     

盆地形成与演化的动力学类型及其地球动力学机制

借鉴国内外已有的盆地研究成果,在盆地分析的基础上,从岩石圈板块作用、岩石圈深部作用和岩石圈表生作用3个方面,兼顾系统性、科学性和应用性,确立了盆地新的分类原则,由此深入研究了盆地形成与演化的动力学类型,并进一步阐述了盆地形成与演化的地球动力学机制。研究结果表明:在盆地分类中,首先主要根据盆地形成的地球动力学环境如岩石圈板块作用环境、深部作用环境以及表生作用环境来划分大类;再根据盆地形成与演化的各种地质作用及其动力学过程如构造作用(伸展、挤压或剪切过程)、热力作用及重力作用进行主要类型划分;再根据盆地的基底性质和地壳类型(如陆壳、洋壳或过渡壳)以及盆地的沉积充填史和构造古地理等(如海相盆地、陆相盆地或过渡相盆地)细分亚类。盆地形成与演化的动力学类型主要包括:单一构造或热体制下盆地演化时的原型盆地类型、单一重力体制下盆地演化的原型盆地类型、多种构造-热体制下盆地演化的叠合盆地类型以及多种构造-热体制下盆地演化的残留盆地类型。在单一构造或热体制下,从板块作用或壳幔作用角度原型盆地动力学类型主要划分为:伸展盆地(陆内伸展盆地、陆间伸展盆地、大洋伸展盆地和弧后伸展盆地),挠曲盆地(弧后挠曲盆地、周缘挠曲盆地、陆内挠曲盆地),走滑盆地(走滑伸展盆地、走滑挠曲盆地)以及克拉通盆地(克拉通退缩盆地、克拉通扩展盆地和克拉通迁移盆地);单一重力体制下原型盆地动力学类型有负载盆地和撞击盆地;多种构造-热体制下的叠合盆地动力学类型有叠加盆地和复合盆地;多种构造-热体制下盆地演化的残留盆地动力学类型有伸展隆起下局部沉降引起的残留盆地、推覆褶皱隆起引起的残留盆地、俯冲至局部碰撞引起的残留盆地及周边抬升隆起引起的残留盆地。关于盆地形成与演化的地球动力学机制包括:岩石圈的板块作用机制,岩石圈的深部作用机制以及岩石圈的表生作用机制。岩石圈的板块作用机制包括板块伸展、挤压和剪切作用;岩石圈的深部作用机制包括软流圈与超级地幔柱对岩石圈的作用,尤其是壳幔作用;岩石圈的表生作用机制也很重要,包括盆地的重力作用、大气作用、海洋作用和生物作用。通过本文的研究,可以为研究整个岩石圈演化、壳幔作用、地球动力学过程以及成藏成矿机制奠定重要理论基础;同时,对于沉积盆地矿产资源、能源资源、水资源勘探和开发,以及灾害防治和环境保护也具有重要应用价值。     

基于空间相邻关系的GML点对象聚类算法研究

目前的聚类算法针对关系数据库而没有考虑空间相邻关系的相似度问题,因而提出对GML点对象离群检测算法进行改进,从而应用于GML聚类。改进的算法以空间相邻关系为度量准则得到相似性矩阵,从而对GML中的点对象聚类。试验结果表明：改进的算法能实现GML点对象基于空间相邻关系的聚类,具有较高的效率。     

植物河道河相关系动态调整

基于前人对无植物河道河相关系研究方法及研究成果,本文遵循仙农熵(Shannon Entropy)理论,利用最大熵原理和变分法,给出考虑植物因子影响的河相关系系数动态表达式,并利用室内物理模型试验所观测的数据对该公式进行敏感性分析和验证,得到比较满意的理论结果.     

Sources of dissolved organic carbon in forest soils: evidences from the differences of organic carbon concentration and isotope composition studies

There is considerable discussion and uncertainty in the literature regarding the importance of fresh litter versus older soil organic matter as sources of soil dissolved organic carbon (DOC) in forest floor. In this study, the differences of organic carbon concentration and stable isotope composition were analyzed under different background conditions to identify the origins of DOC in forest soil. The data show that there is no significant difference in SOC content between these collected soil samples (P > 0.05), but the litter-rich surface soils have relatively higher DOC concentration than the litter-lacking (P < 0.01) ones, and the δ ¹³C values of DOC (δ ¹³C_DOC) are closer to δ ¹³C of litter than δ ¹³C values of SOC (δ ¹³C_SOC). In the litter-lacking surface soil samples, the range of δ ¹³C_DOC is between δ ¹³C_SOC and δ ¹³C of dominant plant leaves. These results suggest that DOC mainly derive from litter in the litter-rich surface soil with, and the main path of DOC sources may change with surrounding conditions. In addition, δ ¹³C_SOC and δ ¹³C_DOC become more positive, and the absolute values of Δ (δ ¹³C_DOC − δ ¹³C_SOC) decrease with depth in the soil profiles, which indicate that the percentage of DOC below 5 cm, derived from degradation of humus, may increase with soil depth.     

Dynamic design and construction of highway cut slopes in Huangshan area, China

Deformation and failure of high slope impact the construction and operation safety of highway in the mountainous areas. The deformation and failure are mainly caused by poor design which normally has not well combined with the geological conditions and unplanned construction. Therefore, effective design and construction management should be conducted for ensuring a successful construction without damage and risk. In light of the reality of high slope construction along highway in the Huangshan area, this paper proposes a technical procedure for dynamic design and construction management of high slopes along highway in the mountainous area. The proposed construction management scheme is divided into three phases, i.e., 1) design phase, 2) preparation phase of excavation, and 3) construction phase. During the design phase, experiences and lessons learnt from the design and construction of other high slopes along highway in the same region are summarized. The number of slopes and slope height should be optimized from the aspects of route selection and route form. During the preparation phase of excavation, “Excavation Permit Management System” should be adopted, and construction scheme should be made by the construction unit, then the scientific research and design unit determine whether it guarantees slope stability and makes optimization measures. During the construction phase, the scientific research unit would make proposal of optimization design, and apply the achievements of scientific research into practice through common efforts of various units based on the understanding of excavation and investigation. The management system mentioned above is adopted to conduct dynamic design and construction management for more than 90 slopes along the Huangshan — Taling — Taolin Expressway, and successful results of application have been achieved.     

基于PhaseNet的地震信号自动处理方法准确性分析

利用一种深度学习地震信号检测方法（PhaseNet模型）检测甘肃省岷县MS6.6地震序列,根据地震震相关联技术和绝对定位Hypoinverse方法构建AI检测目录,对比人工分析地震目录和震相报告,分析AI自动处理地震事件的误差范围。结果表明,AI技术能够实现85.5%的人工工作量,定位误差在20 km范围内呈正态分布;在低震级地震事件检测中,AI方法也发挥了显著能力。相比于人工处理方法,AI方法稳定性好、不依赖个人经验、分析速度快,在大震后的地震目录快速产出中能发挥关键作用,可提高地震分析能力、节省人力成本。