基于水利益共享的跨境流域水资源多目标分配研究——以澜沧江-湄公河为例

以水利益共享代替分水的理念有利于充分发挥水资源效益和减少区域矛盾冲突,但由于缺乏具体可实施的分配模式一直停留在设想阶段。基于水利益共享理念,建立跨境流域水资源多目标分配指标体系,并结合澜沧江-湄公河流域跨境水资源利用现状及需求,提出澜沧江-湄公河流域跨境水资源多目标分配模型。为基于水利益共享的跨境水资源多目标分配提供了具有充分可操作性的指标体系和分配模型,有助于推进跨境流域水利益共享的实施,实现区域双边或多边在水资源利用上的共赢和发展目标。     

基于高分影像的松嫩低平原地区生态环境问题解析——以黑龙江省肇源县为例

基于高分辨率卫星影像数据，利用遥感、GIS技术获取黑龙江省肇源县内自然资源与生态地质环境各因子分布现状数据，其中：耕地2 541.75 km²、林地161.88 km²、草地349.00 km²、河流128.05 km²、湖泊215.80 km²、沼泽109.17 km²、其他水域84.65 km²、建设用地191.25 km²、未利用地329.94 km²；湿地1 334.54 km²、荒漠化土地775.47 km²。利用地类覆盖率、人均占有量以及景观指数（破碎度指数、平均斑块分形指数、分形维数、多样性指数、均匀度指数）量化分析后，得出两类生态地质环境因子中湿地资源尤其是自然湿地受人类活动干扰程度较大、荒漠化土地受人类活动干扰程度较小的结论。并选取老山村等典型地区进行了多期次遥感动态监测及野外核查，揭示了松嫩低平原典型地区目前存在的湿地退化、土地荒漠化等生态地质环境问题。     

Influence of Spatial-Temporal and Environmental Factors on Larimichthys polyactis,Octopus variabilis,and Species Aggregated Set-Net CPUEs in Haizhou Bay,China

Set-nets are common alongshore fishing gear used in Haizhou Bay, which rely on flow to catch fish. The catch per unit effort(CPUE) of set-net is affected by spatial-temporal and environmental factors but no research has been conducted on this subject. In this study, we used generalized additive models(GAMs) to explore the influence of spatial-temporal and environmental factors on CPUEs of species aggregated, small yellow croaker(Larimichthys polyactis), and octopus(Octopus variabilis) based on logbooks investigations conducted at 4 stations in an alongshore area of Haizhou Bay from 2011 to 2012. The results showed that all CPUEs exhibited significant spatial-temporal differences at various scales. Aggregated CPUE was high when the sea surface temperature(SST) was 15-18℃ and 20-23℃, which was mainly determined by life history traits of the octopus and small yellow croaker(optimal SSTs 14-17℃ and 19-24℃, respectively). Chlorophyll-a concentration had significant influences on the aggregated, small yellow croaker and octopus CPUEs at optimal ranges of 3.8-6.2 mg m~(-3), 4.2-4.8 mg m~(-3) and 4.5-5.5 mg m~(-3), respectively. Flow through the net had positive relationships with CPUEs. The approximate logarithmic trends in regression curves had a critical point of 2.5 Mm~3 d~(-1), which was the dividing point that differentiated whether the major factor affecting CPUEs was the flow velocity or the fishery resource. Our results from this study will help guide fishery production and improve catch rate of set-net fishing in Haizhou Bay.     

Soil and Vegetation Spectral Coupling Difference (SVSCD) for Minerals Extraction from Hyperion Data in Vegetation Covered Area

Remote sensing data have been widely applied to extract minerals in geologic exploration, however, in areas covered by vegetation, extracted mineral information has mostly been small targets bearing little information. In this paper, we present a new method for mineral extraction aimed at solving the difficulty of mineral identification in vegetation covered areas. The method selected six sets of spectral difference coupling between soil and plant (SVSCD). These sets have the same vegetation spectra reflectance and a maximum different reflectance of soil and mineral spectra from Hyperion image based on spectral reflectance characteristics of measured spectra. The central wavelengths of the six, selected band pairs were 2314 and 701 nm, 1699 and 721 nm, 1336 and 742 nm, 2203 and 681 nm, 2183 and 671 nm, and 2072 and 548 nm. Each data set’s reflectance was used to calculate the difference value. After band difference calculation, vegetation information was suppressed and mineral abnormal information was enhanced compared to the scatter plot of original band. Six spectral difference couplings, after vegetation inhibition, were arranged in a new data set that requires two components that have the largest eigenvalue difference from principal component analysis (PCA). The spatial geometric structure features of PC1 and PC2 was used to identify altered minerals by spectral feature fitting (SFF). The collecting rocks from the 10 points that were selected in the concentration of mineral extraction were analyzed under a high-resolution microscope to identify metal minerals and nonmetallic minerals. Results indicated that the extracted minerals were well matched with the verified samples, especially with the sample 2, 4, 5 and 8. It demonstrated that the method can effectively detect altered minerals in vegetation covered area in Hyperion image.     

High‐T and low‐P metamorphism in the Xilingol Complex of central Inner Mongolia,China: An indicator of extension in a previous orogeny

The Xilingol Complex comprises biotite gneisses and amphibolite interlayers with extensive migmatization. Four representative samples were documented and found to record either two or three metamorphic stages. Phase modelling using thermocalc suggests that the observed assemblages represent the final stages that underwent cooling from temperature peaks, and are consistent with a fluid‐absent solidus in P–T pseudosections. Their P–T conditions are further constrained to be 5–6 kbar/680–725°C and 4–5 kbar/650–680°C for two garnet‐bearing gneiss samples, 4–5 kbar/660–730°C for a cordierite‐bearing gneiss sample, and 4–5 kbar/680–710°C for an amphibolite sample based on mineral composition isopleths, involving measured Mg content in biotite, anorthite in plagioclase, grossular and pyrope in garnet and Ti content in amphibole. The peak temperature conditions recovered are 760–790°C or >760°C at 5–6 kbar based on the composition isopleths of plagioclase, biotite, garnet and especially the comparison of melt contents between the calculated and observed. A pre‐peak heating process with slight decompression can be suggested for some samples on the basis of the core–rim increase in the plagioclase anorthite, and the stability of ilmenite. Zircon U–Pb dating using the LA‐ICP‐MS method provides systemic constraints on the metamorphic ages of the Xilingol Complex to be 348–305 Ma, interpreted to represent the post‐peak cooling stages. Moreover, metagabbroic dykes that intruded into the Xilingol Complex yield 317 ± 3 Ma from magmatic zircon, and are considered to have played a significant role for heat advection triggering the high‐T and low‐P metamorphism. Thus, the clockwise P–T paths involving pre‐peak heating, peak and post‐peak cooling recovered for the Xilingol Complex are consistent with an extensional setting in the Carboniferous that developed on a previous orogen in response to addition of mantle‐derived materials probably together with upwelling of the asthenospheric mantle.     

An experimental approach for determination of the Weibull homogeneity index of rock or rock-like materials

Acta Geotechnica - The spatial variation of the physical–mechanical properties of rock or rock-like materials is an intrinsic characteristic of the materials induced by multiscale material...     

参数优化DBSCAN算法的城管案件聚类分析

针对DBSCAN算法参数对聚类结果具有较大的不确定性问题,该文提出了基于空间分析的参数优化思想:首先,基于Ripley’s K函数分析,实现自适应确定数据聚类范围EPS值;基于K-D树分析,实现自适应确定在Eps阈值内的点数量MinPts值;然后,基于以上参数的自适应确定思想,利用R语言编写了DBSCAN算法,进一步实现了数据的精确聚类。基于典型城市管理案件的实验结果表明:该方法充分考虑了空间数据统计特性,具有较好的适用性,聚类簇特征明显,聚类质量较高。     

GIS多准则的城市垃圾楼空间布局优化选址

针对城市公共设施的传统选址方法较少考虑空间维度因素的问题,该文提出了基于地理信息系统(GIS)多准则的城市公共设施选址模型,利用GIS多准则技术基于空间维度分析了城市自然环境和人文要素等综合影响下的公共设施选址方法,并以城市垃圾楼选址为例进行了实例应用。实验结果表明:该方法不仅充分考虑了城市复杂的地理环境,还深度探究了影响城市公共设施选址的综合性因素。     

利用对象光谱与纹理实现高分辨率遥感影像云检测方法

针对高分辨率遥感影像云检测过程中合适的云检测光谱阈值难以确定及影像中类云地物对云检测精度影响的问题,提出一种基于对象光谱与纹理的高分辨率遥感影像云检测方法。首先,对影像进行直方图均衡化处理,根据均衡化影像直方图获得合适的影像云检测光谱阈值。其次,用简单线性迭代聚类算法对影像进行分割生成分割对象,以对象为处理单元,根据云检测光谱阈值和对象光谱属性对对象进行云检测过滤,获得初始云检结果。然后,求得直方图均衡化影像的纹理图,根据对象的纹理均值及角二阶矩对初始云检测结果提纯,消除类云地物对云检测精度的影响。最后对提纯云区域进行区域增长及膨胀处理,获得最终的影像云检测结果。定性对比试验和定量评价结果表明,本文方法可以获得良好的影像云检测结果。     

A fine-granularity scheduling algorithm for parallel XDraw viewshed analysis

Viewshed analysis is widely used in many terrain applications such as siting problem, path planning problem, and etc. But viewshed computation is very time-consuming, in particular for applications with large-scale terrain data. Parallel computing as a mainstream technique with the tremendous potential has been introduced to enhance the computation performance of viewshed analysis. This paper presents a revised parallel viewshed computation approach based on the existing serial XDraw algorithm in a distributed parallel computing environment. A layered data-dependent model for processing data dependency in the XDraw algorithm is built to explore scheduling strategy so that a fine-granularity scheduling strategy on the process-level and thread-level parallel computing model can be accepted to improve the efficiency of the viewshed computation. And a parallel computing algorithm, XDraw-L, is designed and implemented taken into account this scheduling strategy. The experimental results demonstrate a distinct improvement of computation performance of the XDraw-L algorithm in this paper compared with the coarse-partition algorithm, like XDraw-E which is presented by Song et al. (Earth Sci Inf 10(5):511–523, 2016), and XDraw-B that is the basic algorithm of serial XDraw. Our fine-granularity scheduling algorithm can greatly improve the scheduling performance of the grid cells between the layers within a triangle region.