Effect of plastic deformation on hydraulic fracturing with extended element method

The propagation of hydraulic fracture in elastic rocks has widely been investigated. In the paper, we shall focus on numerical modeling of hydraulic fracturing in a class of porous rocks exhibiting plastic deformation. The plastic strain of porous rocks is described by a non-associated plastic model based on Drucker–Prager criterion. The plastic deformation is coupled with fluid pressure evolution described by the lubrication theory. An extended finite element method is used for modeling the propagation of fracture. The fracture propagation criterion is based on the J-integral. The proposed numerical model is validated by comparisons with numerical and analytical results. The influence of plastic deformation on fracture propagation process is investigated.

     

非饱和土壤水流方程的极值原理

讨论了非饱和土壤水流问题及其数值计算方案的极值原理,在理论上证明了连续问题及其数值格式均满足极值原理,即在一定的条件下,预报变量的最大值和最小值只能在边界上达到,从而描述了特定的物理性质.这些问题在讨论入渗、蒸发问题的研究中是重要的.     

700年以来冲绳海槽西南部粘土矿物来源及其对沉积环境的响应

利用X射线衍射（XRD）技术对冲绳海槽南部HOBAB4-S2站700年以来的黏土矿物组成以及结晶学特征进行了研究和分析,并对该区的沉积特征、物质来源以及黏土矿物所记录的东亚季风的演化历史进行了探讨。研究发现冲绳海槽南部HOBAB4-S2站黏土矿物组合总体是以伊利石（59–77 %,平均含量69 %）和绿泥石（11–17 %,平均含量14 %）为主,而蒙脱石（5–23 %,平均含量12 %）和高岭石含量（2–6 %,平均含量4 %）则相对较低。通过黏土矿物研究对物源进行分析,发现冲绳海槽南部研究站位的黏土矿物中,蒙脱石主要是来自于长江或者东海大陆架的再沉积。伊利石,绿泥石以及高岭石主要来自于台湾河流,尤其是兰阳溪。蒙脱石/（伊利石+绿泥石）比值的大小可以用来指示东亚夏季风的强弱变化。1320 AD以来的黏土矿物组合的变化较好地记录了部分中世纪暖期后期、小冰期以及现代暖期3个时期在百年时间尺度上的气候波动。该指标显示,相对于中世纪暖期后期,东亚季风强度在小冰期（1405–1850 AD）和在现代暖期（1955 AD）均存在明显的减弱,指示该时期台湾东北部-冲绳海槽南部地区处于相对湿润强降雨的气候环境。     

技术创新对黄河流域城市绿色发展的影响研究

创新是推动黄河流域高质量发展的重要途径之一。利用2006—2018年黄河流域79个地级以上城市的面板数据,首先构建指标体系对各城市技术创新及绿色发展水平进行分析,其次通过面板计量模型深入探究技术创新对城市绿色发展的作用机理。研究表明：① 2006—2018年,黄河流域城市技术创新与绿色发展水平均得到明显提升,但空间差异显著,总体呈“下游>中游>上游”阶梯式递减特征。② 黄河流域城市技术创新对绿色发展总体上没有显著影响,但在加入技术创新的二次项后,两者之间呈现显著的“U”型非线性关系,即技术创新先抑制后促进城市绿色发展,这也验证了技术的“回弹效应”假说;③ 技术创新对黄河流域城市绿色发展的影响可以通过直接效应和间接效应共同体现,但这两种效应正好相反,即一个城市技术创新能力的提升对该城市绿色发展存在显著的“U”型（先抑制后促进）关系,但对邻近城市的作用呈现倒“U”型相反的关系。根据研究结论,从技术创新对城市绿色发展的直接效应和间接效应2个方面提出了相应的政策建议。     

Method for UAV-based 3D topography reconstruction of tidal creeks

It is common to obtain the topography of tidal flats by the Unmanned Aerial Vehicle(UAV) photogrammetry,but this method is not applicable in tidal creeks.The residual water will lead to inaccurate depth inversion results,and the topography of tidal creeks mainly de-pends on manual survey.The present study took the tidal creek of Chuandong port in Jiangsu Province,China,as the research area and used UAV oblique photogrammetry to reconstruct the topography of the exposed part above the water after the ebb tide.It also proposed a Trend Prediction Fitting (TPF) method for the topography of the unexposed part below the water to obtain a complete 3D topography.The topography above the water measured by UAV has the vertical precision of 12 cm.When the TPF method is used,the cross-section should be perpendicular the central axis of the tidal creek.A polynomial function can be adapted to most shape of sections,while a Fourier function obtains better results in asym-metrical sections.Compared with the two-order function,the three-order function lends itself to more complex sections.Generally,the TPF method is more suitable for small,straight tidal creeks with clear texture and no vegetation cover.     

Remote Sensing Inversion for Simulation of Soil Salinization Based on Hyperspectral Data and Ground Analysis in Yinchuan,China

The Pingluo area, as an experimental study area in Yinchuan, has been subjected to major environmental degradation due to soil salinization problems. Soil salinization is one of the main problems of land degradation in arid and semiarid regions. In the present study, remote sensing was integrated with mathematical modeling to evaluate soil salinization adequately. To detect soil salinization, soil water content and electrical conductivity of soil samples were analyzed. The reflectance of soil samples was measured using a spectrometer (SR-3500) with 1024 bands. Indices of soil salinity, vegetation and drought were analyzed using Landsat images over the study area. Based on Landsat images, physicochemical analysis, reflectance of sensitive bands for soil salinization and environmental indices, canopy response salinity index (CRSI), perpendicular drought index (PDI) and enhanced normalized difference vegetation index (ENDVI), a new model was established for simulation and prediction of soil salinization in the study area. Correlation analyses and multiple regression methods were used to construct an accurate model. The results showed that green, blue and near-infrared light was significantly correlated with soil salinity and that the spectral parameters improved this correlation significantly. Therefore, the model was more effective when combining spectral parameters with sensitive bands with modeling. After mathematical transformation of soil reflectance, the correlations of bands sensitive to soil salinization were 0.739 and 0.7 for electrical conductivity and water content, respectively. After transformation of vegetation reflectance, the correlation coefficient of soil salinity became 0.577. After inversion of the model based on soil hyperspectral and water content, the significance became 0.871 and 0.726, respectively, which can be used to predict soil salinity and water content. The spectral soil salinity model had a coefficient of 0.739 for soil salinity prediction. Among the salinity indices, the CRSI was selected as the most significant, with R² of 0.571, whereas the R² for PDI reached only 0.484. Among the vegetation indices, the ENDVI had the highest response to soil salinity, with R² of 0.577. After scale conversion, the correlation percentages between CRSI and measured soil salinity and between ENDVI and measured soil salinity increased to 16.2% and 8.5%, respectively. Following the correlation between PDI and soil water content, the percentage of correlation increased to 11.6%. The integration of hyperspectral remote sensing, ground methods and an inversion method for salinity is a very important and effective technique for rapid and nondestructive monitoring of soil salinization.

     

全球导航卫星系统反射测量(GNSS+R)最新进展与应用前景

全球导航卫星系统(GNSS)具有全天候、近实时、高精度的特点,可持续发射L波段信号,广泛应用于定位、导航和授时(PNT)。随着GNSS技术的发展,最近GNSS反射信号可探测地球表面特征,即GNSS反射测量(GNSS+R)。结合GNSS接收机天线位置和介质信息,利用延迟测量值可以确定表面粗糙度和表面特性。GNSS+R作为当前GNSS和遥感领域的研究热点,取得了一些研究进展和成果。本文详细介绍了GNSS+R原理和方法及其最新应用进展,包括各种GNSS+R技术手段和方法,以及海洋、陆地、水文、植被和冰雪等遥感应用,特别是最新BeiDou-R和TDS-1研究进展。最后给出了GNSS+R应用前景和展望,包括多GNSS系统、GNSS+R接收机、GNSS+R卫星计划和新兴应用等。     

一种快速有效的大数据区域网平差方法

针对摄影测量影像来源多样化、复杂化、大数据化等趋势,传统区域网平差算法在应对当前复杂多变的数据来源,矩阵排列毫无规律的法方程结构以及大数据量带来的高内存需求和低计算效率等问题上,遇到了前所未有的挑战,为了解决上述难题,本文引入了预条件共轭梯度法以及不精确牛顿解法求解区域网平差过程中的法方程,同时使用一种块状法方程系数矩阵压缩存储格式,构建了全新的区域网平差技术流程。本文方法避免了直接对法方程系数矩阵的求逆,压缩了法方程系数矩阵所需的内存空间,使得本文算法比传统算法所需计算机内存空间大幅减少,平差计算速度明显提升,同时保证了计算精度与传统方法相当。初步试验证明,本文方法对4500张影像、近900万像点数据的平差计算在普通电脑上仅需要约15min,且计算精度达到子像素级。     

中国县域高龄人口地域分异特征及环境成因

以全国分县为基本研究单元,基于2000和2010年人口普查资料,依据高龄化系数将中国不同区域划分为未高龄化、浅度高龄化、中度高龄化和深度高龄化4个类型区,并探讨其空间上的地域分异规律。并选取5个自然环境指标,利用偏最小二乘法（PLS）,对高龄化水平区域差异的环境成因进行定量分析。结果表明：① 全国县域高龄化水平呈现“西疏东密”分布格局;高龄化系数三级阶梯状分布明显,平原、丘陵、盆地普遍高于山地及高原地区;由“凹”字型向“东西隆升、北端塌缩”格局演变。② 高龄人口空间集聚不断增强,区域间差异逐渐增大。③ 水文指数、气候指数是影响全国县域高龄人口集聚的主要因素;地形起伏度、空气质量指数对高龄人口分布影响不显著,对不同类型区影响差异显著;随着时间的推移,植被指数对高龄人口空间分布的影响趋强;社会经济因素对高龄人口分布具有扰动作用。     

基于HJ-1A高光谱影像的湿地精细分类

混合像元的存在不仅影响了基于高光谱影像的地物识别和分类精度,而且已成为遥感科学向定量化发展的主要障碍。本文以扎龙湿地为试验区,以环境一号卫星采集的高光谱影像为数据源,分别采用传统的全约束最小二乘光谱解混算法(fully constrained least squares spectral unmixing algorithm, FCLS)与基于稀疏约束最小二乘光谱解混算法(sparse constrained least squares spectral unmixing algorithm, SUFCLS)实现了试验区湿地的精细分类,并对两种分类结果的表现及其分类精度进行了对比分析。研究结果表明：SUFCLS算法能够自适应的从光谱库中选择场景中所占比例最高的一组端元,并将此端元的组合应用于传统的全约束最小二乘光谱解混中实现不同湿地类型丰度的提取,该算法充分考虑了端元的空间异质性,弥补了FCLS算法在端元选取过程中的不足。精度验证结果表明与FCLS算法相比,SUFCLS算法分类结果的均方根误差更小,丰度的相关系数更高,因此该方法对于提高湿地解混精度以及实现湿地精细化分类具有重要意义。