张家口地震台和兴隆地震台地脉动信号初步分析

选取河北省张家口和兴隆2个台站的数字化地震仪连续1年,每日02～03时的地脉动记录,计算功率谱和自相关函数。结果发现兴隆台脉动谱中有4个比较突出的峰值,分别为0．3Hz、3Hz、8Hz、15Hz,张家口台只有3个峰值0．3Hz、3Hz、15Hz。兴隆台UD向的自相关函数呈现出一种比较典型的“红噪声”形态,EW向则呈现出负相关特征,认为可能是只作用于水平向的倾斜脉动的影响。小幅度的仪器干扰信号无论从脉冲标定还是地震波形中都很难发现的,而对脉动进行谱分析则很容易分辨。兴隆台和张家口台地脉动卓越周期时间曲线,基本集中在0．3秒,比较稳定。     

Rainstorm-generated sediment yield model based on soil moisture proxies (SMP)

This study develops improved Soil Moisture Proxies (SMP) based suspended sediment yield (SMPSY) models corresponding to three antecedent moisture conditions (AMCs) (i.e., AMC-I-AMC-III) by coupling the improved initial abstraction (I_a-λ) model, the SMA procedure and the SMP concept for modelling the rainfall generated suspended sediment yield. The SMPSY models specifically incorporate a watershed storage index (S) model to accentuate the transformation from storm to storm and to avoid the sudden jumps in sediment yield computation. The workability of the SMPSY models is tested using a large dataset of rainfall and sediment yield (98 storm events) from twelve small watersheds and a comparison has been made with the existing MSY model. The goodness-of-fit (GOF) statistics is evaluated in terms of the Nash Sutcliffe efficiency (NSE), and error indices, i.e., root mean square error (RMSE), normalized root mean square error (nRMSE), standard error (SE), mean absolute error (MAE), and RMSE-observations standard deviation ratio (RSR). The NSE values vary from 74.31% to 96.57% and from 75.21% to 91.78%, respectively for the SPMSY and MSY model. The NSE statistics indicate that the SMPSY model has lower uncertainty in simulating sediment yield as compared to the MSY model. The error indices are lower for the SMPSY model than the MSY model for most of the watersheds. These results show that the SMPSY model has less uncertainty and performs better than the MSY model. A sensitivity analysis of the SMPSY model shows that the parameter β is most sensitive followed by parameter S, α and A. Overall, the results show that the characterization of soil moisture variability in terms of SMPs and incorporation of improved delivery ratio and runoff coefficient relationship improves the simulation of the erosion and sediment yield generation process.     

青藏高原"一江两河"农区居民食物消费结构与特征

居民食物消费受自然地理环境、城镇化等因素影响,同时通过市场机制影响区域粮食安全和农牧业发展。以西藏“一江两河”地区为例,基于分层抽样,通过2019年实地入户调研,获取了262户农村居民上年度食物消费数据,对青藏高原农区居民的食物消费结构及其影响因素进行分析。结果表明：① 样本内居民的植物性食物的消费量是动物性食物的3.19倍,植物性食物以蔬菜和粮食为主,动物性食物以肉类和牛奶为主;青稞及青稞酒在藏民饮食中占有重要地位。② 居民食物消费规模和结构与食物自给率指标密切相关,自给自足特征显著。③ 不同地区、家庭规模、务工规模、收入水平以及家庭年龄之间,居民的家庭食物消费结构均有所差异,且不同家庭之间面粉和水果的消费差异最显著。④ 区域差异、家庭规模类型和家庭务工规模是影响样本农区居民食物消费综合差异的主要因素。结果可为青藏高原地区居民食物消费结构改善、膳食营养提升以及农牧业转型发展提供科学基础和决策借鉴。     

2022冬奥会背景下北京区域居民参与冰雪运动消费调查

运用文献资料、问卷调查和数理统计、应用因子分析方法,结合北京区域滑雪场空间分布情况,对比居民冰雪运动参与倾向和频率,发现北京区域居民参与冰雪运动及消费的主要影响因素为性别、年龄、距离、收入水平和政策红利;分析得出雪场密度和区域经济水平、性别等对参与冰雪运动消费特征的影响。归纳4个主要影响北京区域居民参与冰雪运动的公共因子,分别是冰雪运动基础因子、冰雪运动信息因子、冰雪运动距离因子以及冰雪运动友谊因子。提出不断提升冰雪运动产品服务质量,出台鼓励性冰雪运动消费政策,完善冰雪运动消费环境,创新冰雪运动消费内容,逐步扩大冰雪消费规模等建议。     

黄河流域多尺度水系统结构变化特征

大河流域的水系统是支撑社会-生态系统的基础,理解水系统的结构变化是深入揭示区域系统演化的关键。基于自然-社会水系统视角,从黄河全流域和二级水资源分区尺度,利用1998—2018年降水、蒸发、径流、社会经济耗水等水系统变量,通过Mann-Kendall趋势检验和线性回归分析方法,分析了水系统要素的变化趋势及结构演变特征。结果表明：在全流域尺度,降水、蒸发分别以4.25 mm·a^-1、4.09 mm·a^-1的速率上升,但蒸发在空间上的变化更显著;径流量呈现先减少再上升后急剧下降的趋势,且与降水量显著正相关。社会系统耗水量呈现增速减缓的特征,农业灌溉占耗水结构的比例以0.50%的速率逐年下降;城镇公共、居民生活和生态环境耗水比例分别以0.07%、0.29%、0.11%的速率上升。在二级水资源分区尺度,各水系统分异特征明显,兰州至头道拐段及花园口以下区域水系统所支撑社会经济发展的功能已经出现了超载。各水系统要素间具有不同程度的协同演变趋势,在湿润区域,蒸发相较于降水具有明显的滞后现象,但在干旱区域两者变化趋势基本一致。黄河流域水系统要素在时空上均存在明显的异质性,未来人口和经济的进一步发展可能会使区域的水资源压力加剧。     

能源地缘政治与能源权力研究

围绕油气资源的权力博弈仍然是当今世界最主要的能源权力争夺,但不同时代的能源权力的属性有所不同,能源安全与能源战略内涵也有所不同。论文在系统梳理能源地缘政治基础上,提出了能源权力的概念,并从地缘政治格局、能源安全观、能源网络和全球能源治理4个方面进行了具体阐述。研究认为：① 以能源分布、产销空间变化及其规律性总结是传统能源地缘政治研究的核心,油气资源地理分布的不平衡性是能源权力产生的最直接因素。② 从石油危机时代到未来新能源时代,能源安全观的不同是影响国际能源地缘政治权力变化的重要因素。③ 能源的商品属性和地缘属性决定了能源贸易不仅是经济行为,其空间的流动与国际政治关系密切。生产与消费的分离使得油气二次分配过程中的贸易控制和通道控制对能源权力重构产生重要影响。④ 全球能源权力巨变和复杂错综的能源权力网络将引发全球能源治理体系的新秩序。权力的主体从国家、国际组织、跨国公司转变为全球能源网络中利益共同体,能源治理的主题从一国之利益走向了全球能源权力的再分配过程。展望未来,如何在理论上建构新时代的能源权力的理论体系,深化气候变化和新能源等因素影响下的世界能源权力的演变、地理空间与权力的相互依赖关系、权力秩序的重构及其效应、全球能源治理机制及其治理模式等研究,对科学认知和研判世界能源形势与能源战略的演化具有重要的意义,也是能源地缘政治学研究的重要方向性命题。     

长基线时间序列季节项提取和重构方法分析

运用经验模态分解（EMD）、集合经验模态分解（EEMD）和完备总体经验模态分解（CEEMD）3种方法对原始基线时间序列进行分解,得到各自时间序列的本征函数模态分量（IMF）、相关系数及周期性强度,进而确定其季节项分量,同时通过比较季节项和原始基线时间序列的叠加功率谱图优选分解方法。结果表明,CEEMD方法对基线时间序列季节项提取和重构效果最佳。     

风电场设计私有云GIS平台架构研究

云计算是目前信息产业最热门的技术之一,GIS厂商纷纷将GIS软件迁移至云计算环境。与国外云计算部署不同,国内更青睐私有云技术,企业、政府机构纷纷搭建私有云GIS平台。针对风电场设计的特点,本文基于目前云计算应用和研究,构建了私有云GIS平台的体系框架,并对平台所涉及的主要关键技术进行了深入探索,对私有云GIS模式下的资源进行了详细的分类,包括核心服务、服务管理、用户访问接口3个部分。其中,核心服务将硬件基础设施、软件运行环境、应用程序抽象成服务,可满足多样化的风电场设计应用需要。     

Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis

Automatic change detection of land cover features using high-resolution satellite images, is a challenging problem in the field of intelligent remote sensing data interpretation, and is becoming more and more effective for its applications viz. urban planning and monitoring, disaster assessment etc. In the present study, a change in detection approach based on the image morphology that analyses change in the local image grids is proposed. In this approach, edges from both the images are extracted and grid wise comparison is made by probabilistic thresholding and power spectral density analysis for identifying change area. One of the advantages of the proposed methodology is that the temporal images used in the change analysis need not be radiometrically corrected as analysis is based on edge extractions. The grid-based analysis further reduces the error, which might have been introduced by image mis-registration. The proposed methodology is validated by finding the temporal changes in the linear land cover features in parts of Kolkata city, India using three different image data-sets from LISS IV, Cartosat-1 and Google earth having varied spatial resolutions of 5.8 m, 2.5 m and about 1 m, respectively. The overall accuracy in identifying changes is found to be 64.82, 73.86 and 80.93% for LISS IV, Cartosat-1 and Google earth data-set, respectively.     

A Research Synthesis and Theoretical Model of Relationships Between Factors Influencing Outdoor Domestic Water Consumption

Outdoor domestic water use is often targeted by demand management strategies. However, despite a rich empirical evidence base coming from primary studies, it is still unclear how factors that influence this type of demand interact and which are the most suitable to be addressed by water conservation programs. Based on 423 scientific contributions, we develop a research synthesis combining a variety of techniques to create a theoretical model of the relationships among factors most consistently observed in the literature. The findings uncover a great degree of complexity in terms of interactions between spatial-structural, social-structural, and cultural and psychological factors at different scales. For researchers, the methodology and the outcomes can be useful to better frame existing and future research within the literature on the topic. In practice, the adaptation of the theoretical model to local specificities can facilitate the design of more efficient and integrated demand management strategies.