Stellar Population Analysis of Galaxies based on Genetic Algorithms

We present a new method for determining the age and relative contribution of different stellar populations in galaxies based on the genetic algorithm. We apply this method to the barred spiral galaxy NGC 3384, using CCD images in U, B, V, R and I bands. This analysis indicates that the galaxy NGC 3384 is mainly inhabited by old stellar population (age >109yr). Some problems were encountered when numerical simulations are used for determining the contribution of different stellar populations in the integrated color of a galaxy. The results show that the proposed genetic algorithm can search efficiently through the very large space of the possible ages.     

基于弱势人群个体可达性评价的社区服务设施配置研究

当前我国人口形势面临老龄化与少子化风险,抓好“一老一小”、确保老有所养和幼有所育成为我国城乡发展中特别关注的方面。在这一背景下,如何营造有利于养老和生育的社会环境,如何针对老年人、育龄妇女和儿童等弱势人群提供更为合理的设施配置成为民生工程的重要内容。社区服务设施作为城市公共服务的空间载体,其配置模式的完善与提升是落实以人为本、集中体现社会公平的重要路径。当前,从网络地图规划路径API获取的出行时间成本矩阵能够为可达性研究提供接近真实的出行时间数据,此外个体化的人口数据如实有人口数据能够以其丰富的属性信息为识别各类弱势人群提供依据,同时精确刻画人口的空间分布。本文基于弱势人群的需求特征与相关规范,对老年人、育龄妇女和儿童三类弱势人群提出了明确定义,并构建了面向各类弱势人群个体使用需求的社区服务设施供给标准。在此基础上,利用实有人口数据、网络地图出行时间成本矩阵和POI数据,综合考虑社区服务设施的服务容量,提出了基于弱势人群个体可达性评价的社区服务设施供给评价与布局优化方法,并以广州市人民南社区为例进行了应用实践。研究表明,人民南社区的弱势人群服务设施供给存在不足,优化配置后设施的供需情况更加合理,服务人口覆盖率亦明显提升。本文提出的方法能够从独立个体尺度精确评价社区弱势人群服务设施的布局合理性,在拓展数据类型及应用方法方面为当前人口形势下精细化研究服务设施的空间分布和供需问题提供新的思路。     

Population growth in Bejing: trends and countermeasures

Beijing’ population has experienced a dramatic increase eversince the founding of the People’s Republic of China. Population growthin Beijing can be broadly broken down into three major components:natural increase, immigration, and the growth of floating population. Thecontinuous growth of Beijing’s population is closely linked with its centralized multi-function. The comprehensive countermeasures to control Beijing’s population growth are proposed, for example, decentralizing economicfunctions, including developing the suburbs, developing the metropolitan areaand creating counter-magnetic centers, reforming the administrative and economic systems.     

SOFTWARE REVIEWS

ATLAS*GIS , Version 1.0. ATLAS*MapMaker , Version 4.0. FIVFIV-SINSIN , Release 9.0. Geo-EAS , Version 1.2.1. Evan Englund Sim City , Version 1.0 Statistix , Version 3.1.     

A revised DDO abundance calibration for population I red giants

Several arguments that justify establishing a revised abundance calibration for DDO photometry of population I red giants are presented. The components of the blanketing vector in the DDOC(45–48) vsC(42–45) diagram are determined for late-type dwarfs and giants. We have redefined the DDO cyanogen anomaly and calibrated it against metallicity. The sample of field giants now available with abundances derived from high dispersion spectroscopy is substantially larger than previously available, leading to a more accurate abundance calibration. Iso-abundance lines in theC(41–42) vsC(42–45) diagram have been determined for population IG and K giants and an iterative method for deriving abundances of these stars is described. We show that the new DDO abundances are in very good agreement with those derived from high dispersion spectroscopy. The new method improves by about 0.1 dex the DDO abundances derived for early G and/or late K giants, with respect to the δCN method of Janes (1975).     

Stellar Populations in Bulges of Spiral Galaxies

We present a few results of a work in progress tackling the radial spectroscopic properties of bulges of spiral galaxies. This revised version was published online in September 2006 with corrections to the Cover Date.     

河南省老龄人口的空间分布及变动

根据人口普查数据资料,运用数理统计分析方法对河南省老龄人口的分布及其变动、人口密度及其变化趋势等进行分析。河南乡村老龄人口仍占多数,但其分布重心正逐步向城镇转移;各地区老龄人口规模相差较大且分异明显,同时,地区间老龄人口密度差异悬殊,增长变化差距很大;老龄人口分布虽存在地区差异,但发展变化总的趋势是人口老龄化、高龄化加速发展,养老服务需求增大。建立科学合理的社会养老服务体系是当前应对人口老龄化、保障和改善民生的必然要求。     

The population structural transition effect on rising per capita CO2 emissions: evidence from China

ABSTRACT

The per capita CO₂ emissions (PCCE) of many developing countries like China have been rising faster than total CO₂ emissions, and display spatial divergence. Such temporal growth and spatial divergence will have a significant influence on efforts to mitigate CO₂ emissions. Given the research gap on the impact of the structural transition in population on PCCE, we constructed an econometric model using the dynamic panel method. The results reveal that the population structural transition has a significant nonlinear impact on PCCE, as the rate of population growth in China decelerates. Both demographic ageing and urban-rural migration have a stronger impact on PCCE than other factors. This effect, however, decreases beyond a certain threshold. An increase in the number of households due to urbanization and family downsizing has resulted in a positive effect on PCCE, without a threshold turning point. The research also finds that an increased share of the service sector in employment can reduce PCCE only if the sector employs more than 31.56% of the total employed population. Overall, these findings indicate that policymakers should pay attention to the prominence of the demographic structural transition for effective climate policy.

Key policy insights

• Policymakers should address rising per capita carbon emissions (PCCE) and their spatial divergence in future climate policies, not just total CO₂ emissions.

• The transitioning demographics of ageing and urbanization in China show a nonlinear, inverted U-shaped effect on PCCE instead of a continuously positive effect.

• Based on the nonlinear effect of employment structure on PCCE, policymakers should focus on the relationship between the structural transition of the economy and PCCE in future climate mitigation policies.

     

基于边界替代的人口数据空间化方法研究

首先将山东省各县市按级别分类,利用回归方法得到不同级别县市的城镇居住密度与农村居住密度,然后根据乡镇驻地位置,构造Voronoi图来替代乡镇边界。在此基础上利用各乡镇人口数据与居民点数据计算得到各 Voronoi图形的居住密度,并将该密度赋予每个图形的发生点(即乡镇驻地位置),而后利用反距离插值算法,并结合窗口移动平均处理,得到全省的居住密度分布图。使用居住密度分布图和居民点分布数据,计算人口分布数据。并根据每个县市的图上汇总人口和统计人口,计算得到各县市的调整系数,使用该系数对每个栅格的人口数进行调整,保证了各县市总人口不会出现误差。最终得到山东省1km×1km栅格的人口分布数据。最后选取某些样本县, 在样本县内对比每个乡镇图上的人口与实际统计人口,结果表明该人口分布数据有较高的精度。