Use of an inside buffer method to extract the extent of urban areas from DMSP/OLS nighttime light data in North China

Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) nighttime imagery provides a valuable data source for mapping urban areas. However, the spatial extents of large cities are often overestimated because of the effect of over-glow from nighttime light if a fixed thresholding technique is used. In the work reported here, an inside buffer method was developed to solve this issue. The method is based on the fact that the area overestimated is proportional to the extent of the lit area if a fixed threshold is used to extract urban areas in a region/county. Using this method, the extents of urban areas in North China were extracted and validated by interpretations from Landsat Thematic Mapper images. The results showed that the lit areas had a significant linear relationship with the urban areas for 120 representative cities in North China in 2000, with an R² value of over 0.95. This demonstrates that the inside buffer method can be used to extract urban areas. The validation results showed that the inside buffer model developed in 2000 can be directly used to extract the extent of urban areas using more recent nighttime light imagery. This is of great value for the timely updating of urban area databases in large regions or countries.     

Modeling the risk of spread and establishment for Asian longhorned beetle (Anoplophora glabripennis) in Massachusetts from 2008-2009

Land managers responsible for invasive species removal in the USA require tools to prevent the Asian longhorned beetle (Anoplophora glabripennis) (ALB) from decimating the maple-dominant hardwood forests of Massachusetts and New England. Species distribution models (SDMs) and spread models have been applied individually to predict the invasion distribution and rate of spread, but the combination of both models can increase the accuracy of predictions of species spread over time when habitat suitability is heterogeneous across landscapes. First, a SDM was fit to 2008 ALB presence-only locations. Then, a stratified spread model was generated to measure the probability of spread due to natural and human causes. Finally, the SDM and spread models were combined to evaluate the risk of ALB spread in Central Massachusetts in 2008–2009. The SDM predicted many urban locations in Central Massachusetts as having suitable environments for species establishment. The combined model shows the greatest risk of spread and establishment in suitable locations immediately surrounding the epicentre of the ALB outbreak in Northern Worcester with lower risk areas in suitable locations only accessible through long-range dispersal from access to human transportation networks. The risk map achieved an accuracy of 67% using 2009 ALB locations for model validation. This model framework can effectively provide risk managers with valuable information concerning the timing and spatial extent of spread/establishment risk of ALB and potential strategies needed for effective future risk management efforts.     

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy.     

甘肃永靖黑方台4·29罗家坡黄土滑坡的特征

2015年4月29日上午,甘肃省永靖县盐锅峡镇黑方台滑坡高频发区的党川村罗家坡同一斜坡处连续发生了2次大规模黄土滑坡,总体积约65×10~4m~3,最大滑距630 m,摧毁14户居民房屋和3家工厂.通过现场详细调查、取样试验、1∶500地形测量、滑坡影像、视频等资料分析,对灌溉引发的罗家坡黄土滑坡的特征、滑动过程、形成机理进行了探讨.结果表明:第1次滑坡经过近2 a变形过程,整体突然失稳,高速远程滑动;第2次滑坡变形时间仅3 h,分块逐步滑动,滑动历时长而过程复杂,总体为低速远程滑动.高陡的地形和强度低、水敏感性强的土体是滑坡发生的基础,黄土台塬区长期农业灌溉是引发因素,大量水体入渗形成了20余米厚的饱和软弱基座,使抗剪强度降低,导致斜坡失稳滑动.黄土滑坡高速远程滑动的主要原因是滑坡剪出口位置高,滑动势能大,释放条件好,剪出口下部陡坡段为主要加速段;前方有开阔的滑动空间且有一定坡度、平缓的滑道;滑体底部饱和软弱黏性土在滑道上持续产生超孔隙水压力、液化等低摩阻效应,是远程滑动的润滑剂.同时,两次滑体间还存在冲击加速和能量传递作用.     

四川盆地回龙地区下侏罗统自流井组大安寨段混积岩特征及模式

川西回龙地区自流井组大安寨段发育湖相碳酸盐岩和碎屑岩的混合沉积,结合野外露头、钻井岩芯、测井和显微组构等资料的综合分析,对该研究区混积岩沉积微相特征进行了精细刻画。研究认为,回龙地区大安寨段属湖泊混合沉积相,分为滨浅湖混合沉积和半深湖混合沉积两个亚相,并划分了五个沉积微相,分别为高能介壳滩混合沉积微相,低能介壳滩混合沉积微相,砂质浅滩混合沉积微相,浅湖混合沉积微相以及半深湖混合沉积微相。基于所划分的混合沉积相的特征和四川盆地以及研究区回龙大安寨段在侏罗纪的沉积相演变过程,分析了该区混积岩的成因及混合沉积演化模式。得出结论:研究区湖相混合沉积主要受物源供给和水动力条件的控制,在五种不同混合沉积微相控制作用下形成了不同类型的混积岩。     

进积型三角洲交汇区沉积模式--以东营凹陷沙三中亚段为例

作为碎屑岩储层发育的最主要沉积相类型之一,进积型三角洲在油气勘探领域具有举足轻重的地位;加强对进积型三角洲沉积模式的研究,对于油气储层预测具有重要现实意义。渤海湾盆地东营凹陷古近纪湖盆内发育的东营三角洲和永安三角洲在沙河街组三段中亚段沉积期发生了交汇,而有关两个三角洲的交汇方式、沉积特征及交汇区储层的预测尚未引起足够的重视。以岩芯观测、录井和地震资料为基础,分析了东营凹陷古近系沙三段中亚段三角洲交汇区沉积特征,探讨了沉积期次、交汇过程,建立了三角洲交汇区沉积模式。研究表明,东营凹陷沙河街组三段中亚段主要发育湖泊、进积型三角洲沉积;储集砂体主要形成于三角洲前缘水下分流河道,河口坝微相次之,浊积岩主要分布于深湖区。认为此前界定的东营三角洲的分布范围可能被夸大,而永安三角洲的沉积规模可能被低估。东营凹陷古近系沙三中亚段可划分为9个期次,其作用过程可分为局部交汇阶段和完全交汇阶段。三角洲水下交汇区是水流汇聚和沉积物卸载的有利场所,叠置砂体可成为有利的油气储层,因而具有重要的油气勘探价值。     

The Coarse-Grained Lacustrine Slope Apron Deposits in the Moliqing Area, Yitong Basin, Northeast China

Overlapping gravity accumulation bodies were formed on the northwestern steep slope of the Shuangyang Formation in the Moliqing fault depression of northeast China. This study analyzed in detail the spatial distribution of the lithofacies and lithofacies associations of these accumulation bodies based on more than 600 m of core sections, and summarized 12 major types of lithofacies and three types of lithofacies associations: (1) the proximal zone consists of gravelly debris flows dominated by alluvial channel conglomerates; (2) the middle zone is dominated by various gravity flow deposits and traction flow deposits; and (3) the distal zone is dominated by mudstones with intercalations of sandy debris and turbidites. Combining with the grain size cumulative probability curves analysis, we determined the transformation of debris flows to sandy debris flows and to turbidity currents in the slope zone of the basin margin, and further proposed a lacustrine slope apron model that is characterized by (1) an inconstant multiple source (line source), (2) an alternation of gravity flow deposits and traction flow deposits dominated by periodical changes in a source flood flow system, and (3) the transformation of sandy debris flow deposits into distal turbidity current deposits. This sedimentary model may be applicable to other fault depressions for predicting reservoir distribution.     

Coupled Model of Two-phase Debris Flow, Sediment Transport and Morphological Evolution

The volume fraction of the solid and liquid phase of debris flows,which evolves simultaneously across terrains,largely determines the dynamic property of debris flows. The entrainment process significantly influences the amplitude of the volume fraction. In this paper,we present a depth-averaged two-phase debris-flow model describing the simultaneous evolution of the phase velocity and depth,the solid and fluid volume fractions and the bed morphological evolution. The model employs the Mohr–Coulomb plasticity for the solid stress,and the fluid stress is modeled as a Newtonian viscous stress. The interfacial momentum transfer includes viscous drag and buoyancy. A new extended entrainment rate formula that satisfies the boundary momentum jump condition(Iverson and Ouyang,2015) is presented. In this formula,the basal traction stress is a function of the solid volume fraction and can take advantage of both the Coulomb and velocity-dependent friction models. A finite volume method using Roe's Riemann approximation is suggested to solve the equations. Three computational cases are conducted and compared with experiments or previous results. The results show that the current computational model and framework are robust and suitable for capturing the characteristics of debris flows.     

梧州某安置小区滑坡分析与治理设计研究

文章从地层岩性、地质构造、水文地质条件等方面阐述该滑坡的基本特征,运用传递系数法对滑坡进行了稳定性分析与评价,为滑坡治理设计提供了依据。根据计算结果提出了采用削坡、预应力锚索+格构梁+锚杆挂网喷射混凝土防护,并结合生物防护及地表排水措施,具有较高的实践和理论意义。     

三峡工程对宜昌-监利河段水温情势的影响分析

三峡工程蓄水使得下游长江河道水温情势发生显著变化,并对下游生态环境产生重要影响。基于宜昌水文站14年的实测资料,采用纵向一维水温模型模拟分析了宜昌至监利300 km河道水温变化过程,探讨了不同蓄水期三峡工程下泄水温变化对坝下鱼类产卵场的影响程度。结果表明:①三峡工程蓄水后宜昌断面水温出现了平坦化及延迟现象,低温水和高温水效应明显;175 m蓄水期宜昌断面4月、12月,水温分别较蓄水前改变-4.3℃、3.7℃。②三峡工程的运行使得下游河道水气热交换量发生变化,但干流流量较大使得水温沿程恢复效果较弱;工程调蓄对坝下河段的影响占主导作用,三峡工程调蓄对监利断面4月、12月存在-3.2℃、3.0℃的温度影响。③三峡工程蓄水后,宜昌中华鲟产卵场冬季20.0℃的水温出现时间推迟1~4旬,监利四大家鱼产卵场春季18.0℃的水温出现时间推迟1~3旬,并随着蓄水位的抬升,推迟幅度逐渐加大。