Measuring place-based accessibility under travel time uncertainty

Travel time uncertainty has significant impacts on individual activity-travel scheduling, but at present these impacts have not been considered in most accessibility studies. In this paper, an accessibility evaluation framework is proposed for urban areas with uncertain travel times. A reliable space-time service region (RSTR) model is introduced to represent the space-time service region of a facility under travel time uncertainty. Based on the RSTR model, four reliable place-based accessibility measures are proposed to evaluate accessibility to urban services by incorporating the effects of travel time reliability. To demonstrate the applicability of the proposed framework, a case study using large-scale taxi tracking data is carried out. The results of the case study indicate that the proposed accessibility measures can evaluate large-scale place-based accessibility well in urban areas with uncertain travel times. Conventional place-based accessibility indicators ignoring travel time reliability can significantly overestimate the accessibility to urban services.     

天山山区典型内陆河流域径流组分特征分析

通过对天山南北坡的两个典型流域降水、地下水、河流、融冰雪水δD和δ¹⁸O及水化学检测,基于同位素径流分割模型定量分析了年内径流组分特征。结果表明：（1）两条河流的径流组成中地下水为构成径流的主要成分,其次是冰川融水,融雪水及降水,但南北坡径流组分表现出较明显的差异,乌鲁木齐河流域中冰川融水的比重要大于黄水沟流域,对气候变化响应明显。（2）两条河流在不同季节径流组分也表现出较大差异,春季径流组分差异最为明显。     

粤港澳大湾区气溶胶对白天城市热岛强度的影响

以粤港澳大湾区为例,利用卫星遥感资料结合大气化学模式模拟,分析2003―2018年城市热岛强度、气溶胶光学厚度的变化规律,定性和定量研究气溶胶对白天城市热岛强度的影响。结果表明：2003―2018年粤港澳大湾区城市热岛强度呈波动上升趋势,夏季热岛强度最大,冬季热岛强度最小;气溶胶光学厚度呈波动下降趋势,春季气溶胶光学厚度最大,冬季气溶胶光学厚度最小。在年际和季节尺度,城市热岛强度与城区、郊区气溶胶光学厚度之差均呈弱的正相关。基于WRF-Chem的模拟实验表明,气溶胶的存在导致城区、郊区地表向下总辐射减少、地表温度降低,且城区地表向下总辐射减少多于郊区、降温幅度大于郊区,进而导致了热岛强度减弱。气溶胶对城市热岛强度的贡献率为?2.187%,冬季贡献率绝对值略高于夏季。     

新疆对中亚五国的外贸结构,问题及对策

本文在分析新疆对中亚五国的外贸结构基础上，阐述了目前在与中亚五国的贸易中存在的一些问题，提出相应的对策建议，以推动新疆与中亚五国外贸发展的良性循环。     

中国不同区域能源消费碳足迹的时空变化(英文)

Study on regional carbon emission is one of the hot topics under the background of global climate change and low-carbon economic development, and also help to establish different low-carbon strategies for different regions. On the basis of energy consumption and land use data of different regions in China from 1999 to 2008, this paper established carbon emission and carbon footprint models based on total energy consumption, and calculated the amount of carbon emissions and carbon footprint in different regions of China from 1999 to 2008. The author also analyzed carbon emission density and per unit area carbon footprint for each region. Finally, advices for decreasing carbon footprint were put forward. The main conclusions are as follows: (1) Carbon emissions from total energy consumption increased 129% from 1999 to 2008 in China, but its spatial distribution pattern among different regions just slightly changed, the sorting of carbon emission amount was: Eastern China > Northern China > Central and Southern China > Southwest China > Northwest China. (2) The sorting of carbon emission density was: Eastern China > Northeast China > Central and Southern China > Northern China > Southwest China > Northwest China from 1999 to 2003, but from 2004 Central and Southern China began to have higher carbon emission density than Northeast China, the order of other regions did not change. (3) Carbon footprint increased significantly since the rapid increasing of carbon emissions and less increasing area of pro-ductive land in different regions of China from 1999 to 2008. Northern China had the largest carbon footprint, and Northwest China, Eastern China, Northern China, Central and Southern China followed in turn, while Southwest China presented the lowest area of carbon footprint and the highest percentage of carbon absorption. (4) Mainly influenced by regional land area, Northern China presented the highest per unit area carbon footprint and followed by Eastern China, and Northeast China; Central and Southern China, and Northwest China had a similar medium per unit area carbon footprint; Southwest China always had the lowest per unit area carbon footprint. (5) China faced great ecological pressure brought by carbon emission. Some measures should be taken both from reducing carbon emission and increasing carbon absorption.     

Analysis of city centrality based on entropy weight TOPSIS and population mobility: A case study of cities in the Yangtze River Economic Belt

Based on statistical data and population flow data for 2016,and using entropy weight TOPSIS and the obstacle degree model,the centrality of cities in the Yangtze River Economic Belt(YREB)together with the factors influencing centrality were measured.In addition,data for the population flow were used to analyze the relationships between cities and to verify centrality.The results showed that:(1)The pattern of centrality conforms closely to the pole-axis theory and the central geography theory.Two axes,corresponding to the Yangtze River and the Shanghai-Kunming railway line,interconnect cities of different classes.On the whole,the downstream cities have higher centrality,well-defined gradients and better development of city infrastructure compared with cities in the middle and upper reaches.(2)The economic scale and size of the population play a fundamental role in the centrality of cities,and other factors reflect differences due to different city classes.For most of the coastal cities or the capital cities in the central and western regions,factors that require long-term development such as industrial facilities,consumption,research and education provide the main competitive advantages.For cities that are lagging behind in development,transportation facilities,construction of infrastructure and fixed asset investment have become the main methods to achieve development and enhance competitiveness.(3)The mobility of city populations has a significant correlation with the centrality score,the correlation coefficients for the relationships between population mobility and centrality are all greater than 0.86(P<0.01).The population flow is mainly between high-class cities,or high-class and low-class cities,reflecting the high centrality and huge radiating effects of high-class cities.Furthermore,the cities in the YREB are closely linked to Guangdong and Beijing,reflecting the dominant economic status of Guangdong with its geographical proximity to the YREB and Beijing's enormous influence as the national political and cultural center,respectively.     

中国留学人员创业园分布及产业特征

以《中国留学人员创业年鉴》为基础数据,采用GIS空间分析技术,运用核密度估计法、L函数和最近邻层次聚类分析等方法,分析2006~2015年中国留学人员创业园空间分布规律以及园区产业集聚特征,结果表明：中国留学人员创业园集聚特征显著,而且随着时间的推移,其多中心趋势明显,集聚规模迅速增大,集聚强度呈“先升后降,但总体增大”趋势;主要集聚于长三角、京津冀和珠三角等地区,尤以前两者最显著,且三大集聚区的集聚强度与集聚规模差异明显,其中长三角留创园的集聚规模最大,京津冀集聚强度最高,而珠三角则比较复杂,其在很小空间尺度范围内服从集聚分布,而在较大空间尺度范围内则服从随机分布;基于不同主导产业的中国留学人员创业园依然集中于长三角、京津冀和珠三角等地区,其主导产业分布格局则差异显著,规律性不强。     

1984—2020年辽宁省极端气温时空变化及粮食产量响应研究

通过选取极端气温指数对1984—2020年辽宁省极端气温时空变化进行分析,结果表明：① 近37 a极端气温指数的时间变化具有一致性,表现为暖指数（年极端高温、暖昼日数、暖夜日数）上升和冷指数（年极端低温、冷昼日数、冷夜日数）下降。受城市化进程影响,突变主要集中在1995—2005年。② 极端气温指数具有空间差异性,具体表现在城镇化水平高的城市极端气温差值变化较小,沿海地区相对指数变化幅度相对较小。③ 结合辽宁省粮食与气象灾害数据,得出1984—2020年粮食实际产量与趋势产量呈波动上升变化。相对产量与气象产量波动趋势一致,近37 a气候丰年10个、气候歉年7个,其他为正常年份。气象产量受极端高温、极端低温的影响较大,风雹、冷冻成为影响粮食产量的关键气象灾害。     

重庆万州盐井沟地区黄昏爪兽(爪兽科, 奇蹄目)化石新发现

黄昏爪兽（Hesperotherium）是我国早更新世代表物种之一,因发现标本稀少,其形态特征和灭绝时间是存疑的。重庆市万州区盐井沟大垭口地点发现了多件Hesperotherium化石,其中多数骨骼属首次发现,新材料增加了我们对该类动物的骨骼形态学的认识,其后肢骨骼在进化过程中较为保守,可能正是这种进化过程中的保守性导致其不能适应第四纪多变的气候环境,最终灭绝。同时通过对已知含Hesperotherium动物群的分析,认为Hesperotherium可以作为早更新世早-中期的代表物种,对应于邱占祥命名的NCMQ 1或欧洲的维拉方中-晚期。

     

铜陵新桥层状菱铁矿成因的矿物学证据及成矿意义

安徽铜陵新桥矿区二叠系栖霞组底部和石炭系黄龙组—船山组之间产出层状、似层状菱铁矿矿层。开展菱铁矿矿层成因研究对于深入剖析区域层控矽卡岩型铜铁矿床成矿机制具有重要意义。本文利用粉晶X射线衍射（XRD）、扫描电镜（SEM）对菱铁矿矿石进行矿物学研究,结果发现菱铁矿矿石主要由菱铁矿、石英、伊利石和有机质等组成,菱铁矿颗粒粒径较小,表面具有成岩自生的自形石英硬模的微结构,SEM原位微区成分分析显示菱铁矿中除了主量元素铁,还含有大量的锰、锌和钙。矿石中存在两种微结构和不同成因的石英：表面具菱铁矿硬模和次生加大结构的碎屑石英;具六方双锥、单锥以及生物成因球形的自生石英。菱铁矿矿石的组成和矿物表面微结构表明其为沉积成因,非岩浆热液起源。富有机质和亚铁的沉积菱铁矿层和沉积胶状黄铁矿层协同作用,可能是铜陵地区乃至长江中下游成矿带层状铜铁矿床层控性重要制约因素,以及可能作为燕山期中酸岩浆演化的氧化性含铜成矿流体卸载成矿的地球化学还原障。