Effects of RapidEye imagery’s red-edge band and vegetation indices on land cover classification in an arid region

Land cover classification (LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidEye images was effective for vegetation identification and could improve LCC accuracy. However, there has been no investigation of the effects of RapidEye images’ red-edge band and vegetation indices on LCC in arid regions where there are spectrally similar land covers mixed with very high or low vegetation coverage information and bare land. This study focused on a typical inland arid desert region located in Dunhuang Basin of northwestern China. First, five feature sets including or excluding the red-edge band and vegetation indices were constructed. Then, a land cover classification system involving plant communities was developed. Finally, random forest algorithm-based models with different feature sets were utilized for LCC. The conclusions drawn were as follows: 1) the red-edge band showed slight contribution to LCC accuracy; 2) vegetation indices had a significant positive effect on LCC; 3) simultaneous addition of the red-edge band and vegetation indices achieved a significant overall accuracy improvement (3.46% from 86.67%). In general, vegetation indices had larger effect than the red-edge band, and simultaneous addition of them significantly increased the accuracy of LCC in arid regions.     

牛眠沟流域泥石流形成条件、发展趋势及其防治探讨

汶川地震使牛眠沟流域变成了一个多泥石流灾害的区域,到目前为止,已经发生7次大规模泥石流灾害。经研究,该流域诱发泥石流灾害的3个基本条件非常发育,而目前正处于发展阶段,在震后5~10年内的雨季,极易发生危害性较大、冲击力较强的大规模降雨型泥石流。如果考虑直接利用主沟内沉积的泥石流堆积物,在主沟堆积区的中上游左右两侧修建约为沟宽一半的交替式拦挡土石坝、在中下游修建与沟宽大致相等的拦挡土石坝及在相邻两坝间修建与沟向相对且具有一定坡度斜坡的土木防治工程,可实现消能与耗能双重目的。     

New method for prediction of shale gas content in continental shale formation using well logs

Shale needs to contain a sufficient amount of gas to make it viable for exploitation. The continental heterogeneous shale formation in the Yan-chang (YC) area is investigated by firstly measuring the shale gas content in a laboratory and then investigating use of a theoretical prediction model. Key factors controlling the shale gas content are determined, and a prediction model for free gas content is established according to the equation of gas state and a new petrophysical volume model. Application of the Langmuir volume constant and pressure constant obtained from results of adsorption isotherms is found to be limited because these constants are greatly affected by experimental temperature and pressures. Therefore, using measurements of adsorption isotherms and thermodynamic theory, the influence of temperature, total organic carbon (TOC), and mineralogy on Langmuir volume constants and pressure constants are investigated in detail. A prediction model for the Langmuir pressure constant with a correction of temperatures is then established, and a prediction model for the Langmuir volume constant with correction of temperature, TOC, and quartz contents is also proposed. Using these corrected Langmuir constants, application of the Langmuir model determined using experimental adsorption isotherms is extrapolated to reservoir temperature, pressure, and lithological conditions, and a method for the prediction of shale gas content using well logs is established. Finally, this method is successfully applied to predict the shale gas content of the continental shale formation in the YC area, and practical application is shown to deliver good results with high precision.     

华蓥山地区4口井水位潮汐动态特征研究

本文选择沿华蓥山断裂带分布的荣昌等4口观测井,利用Baytap-G潮汐分析方法,计算各井水位和气压及理论固体潮的潮汐振幅谱,比较其潮汐频谱差异,通过对主要潮汐分波振幅的回归计算定量分析各井水位受气压潮和固体潮影响的大小。基于对井水位正常动态的认识,选择各井水位潮汐的主要分波,对井水位长时序数据进行分析计算,提取水位潮汐响应特征参数(振幅比和相位差),进而探讨特征参数动态变化特征。最后对井水位受气压潮和固体潮影响的差异原因进行了初步探讨。结果表明,荣昌井水位主要受气压作用的影响,北碚、大足、南溪三口井水位受固体潮-气压潮综合作用的影响,而荣昌井水位只受气压潮影响可能与该井所处含水层裂隙发育且该井未下设止水套管有关;荣昌井P_1S_1K_1波和南溪井M_2波振幅比和相位差在几次大震后没有明显变化,说明地震波没有使井孔与含水层之间的水流交换发生显著变化,而北碚井和大足井M_2波振幅比和相位差分别在汶川和芦山地震时发生变化,反映了地震波的疏通影响。     

荒漠-绿洲过渡带斑块植被区起沙风对风蚀积沙量的影响

以黑河中游荒漠-绿洲过渡带斑块植被区的风蚀积沙观测资料为基础,结合中国生态系统研究网络（CERN）临泽内陆河流域研究站的风况资料,应用地统计学方法对2012-2013年风蚀季（3-8月）的风蚀积沙过程进行分类,并分析起沙风对风蚀积沙量的影响。结果表明：（1）2012-2013年风蚀季风蚀积沙量的空间变异过程分为随机性变异过程（2012年4-7月）和结构性变异过程（2012年8月及2013年3-7月）。（2）在随机性变异过程中,风蚀积沙量与起沙风的风速,风向,风频率依次相关;在结构性变异过程中,风蚀积沙量与起沙风的风向,风速,风频率依次相关。③输沙势（DP）与风蚀积沙量的相关性大小为随机性变异过程>结构性变异过程;在随机性变异过程中,合成输沙势（RDP）与风蚀积沙量无明显相关关系（R²=0.0745）;而在结构性变异过程中,合成输沙势（RDP）与风蚀积沙量的相关系数较高（R²=0.9343）。④在随机性变异过程中,各月风蚀积沙量呈不规则的片状分布;在结构性变异过程中,各月积沙量呈明显的带状分布。     

从第二次土地调查看上海市地籍管理

本文分析了上海市第二次土地调查中地籍调查的技术方法,结合上海市地籍管理现状,根据实际工作需要,提出改进和完善地籍管理的几点思考。     

Early Detection of Terrorism Outbreaks Using Prospective Space–Time Scan Statistics

Terrorism is a complex phenomenon with high uncertainty involving a myriad of dynamic known and unknown factors. It is and will remain a challenge to predict or detect terrorism outbreaks at an early stage. This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. To evaluate the effectiveness of the approach, we analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's (START) Global Terrorism Database (GTD) from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.     

广西北部湾城市群生态承载力研究

引入区域生态足迹模型评价广西北部湾经济圈生态发展可持续程度,定量分析研究区域土地可持续利用状况.进一步利用灰色关联度和系统聚类分析方法,对北部湾城市群整体和个体在关联度上进行纵向与横向对比分析,划分在结构和功能上相似或互补的单位.分析结果表明,北部湾2011年的人均生态足迹赤字达到0.373hm2,说明人类对自然资源的利用已经超过区域土地的承载能力.建议实行区域合作分工制,明确各自发展方向,合理调整产业结构,调整区域内土地利用结构和功能,提高北部湾区域土地可持续利用能力.     

Constructing personalized transportation networks in multi-state supernetworks: a heuristic approach

An integrated view encompassing the networks for public and private transport modes as well as the activity programs of travelers is essential for accessibility analysis. In earlier research, the multi-state supernetwork has been put forward by the authors as a suitable technique to model the system in such an integrated fashion. An essential part of a supernetwork involving multi-modal and multi-activity is the personalized transportation network, which is an under-researched topic in the academic community. This article attempts to develop a heuristic approach to construct personalized transportation networks for an individual's activity program. In this approach, the personalized network consists of two types of network extractions from the original transportation system: public transport network and private vehicle network. Three examples are presented to illustrate that the public transport network and private vehicle network can represent an individual's attributes and be applied in large-scale applications for analyzing the synchronization of land-use and transportation systems.