京津冀区域臭氧时空分布特征及其背景浓度估算

为研究京津冀区域臭氧时空分布特征,并估算区域传输贡献,对2017~2019年京津冀区域68个国控站点资料进行主成分分析,并采用TCEQ法估算京津冀区域及细分的次区域内O₃背景浓度.结果表明,京津冀区域O₃浓度整体上呈现南高北低态势,地理位置的差异及其距离对于各城市臭氧浓度的均匀性分布影响较大.经最大方差法旋转后,主成分分析结果可将京津冀区域划分为河北省中南部、京津冀北部以及渤海西岸地区等3个稳定的次区域.对3个次区域分别采用TCEQ法估算O₃背景浓度,计算得到3个次区域本地生成O₃浓度依次为71,60,59μg/m³,区域背景浓度占O₃日最大8h浓度的比值依次为34.3%,39.4%,42.2%.京津冀区域O₃本地生成占主导,区域传输也不容忽视.     

中国沿海地区的自然灾害类型及综合区划

作者利用中国沿海地区近４０年或更长时期主导灾害的资料分析其时空特征，特别是空间分布规律。根据综合灾害灾次图的分析指出，中国沿海地区共有３个灾害多发中心，最后将中国沿海地区划分为６个灾害类型区     

Simulating potential vegetation distribution in a mountainous region of the Eastern Tibetan Plateau:A case study of Barkam County

The main objective of this study is to simulate the potential vegetation types on the basis of environmental parameters.The paper took Barkam County in a mountainous region of the Eastern Tibetan Plateau as the study area.The vegetation distribution was mapped in 1994 and 2007 based on TM remote sensing images by object-oriented interpretation method.We overlaid the two maps to find out the vegetation patches which have not changed,and took them as stable types.Fifty per cent of the stable patches were randomly sampled to operate the logistic regression with related environmental parameters;others were used as test data of simulated results.Seven environmental parameters were mapped,including elevation,slope,aspect,surface curvature,solar radiation,temperature and precipitation,based on DEM data and meteorological site data by GIS technology.The relationship between the spatial distribution of vegetation and environmental variables were quantified by logistic regression.The distribution probabilities of each vegetation type were calculated.Finally,the spatial distribution of potential vegetation was simulated.This research can provide a scientific basis for vegetation restoration and ecological construction in this area.     

Research on Jiuquan-Jiayuguan-Yumen Region's Dynamic Changing of Urbanization Based on Self-Organizing Model

Abstract

Based on the self-organizing modeling principle in the dissipative structure theory, the paper regards the migration coupling between the regions as the influence factor to create the model of regional urbanization simulation and prediction, which is more practical to simulate the space-time and dynamic evolvement characteristics of regional urbanization level. According to the historical data about the population and urbanization of Jiuquan, Jiayuguan and Yumen cities, the past 50 years' dynamic evolvement trend is simulated and the following 50 years' dynamic evolvement trend is predicted with the urbanization dynamic evolvement model based on the self-organizing model. The analysis of effective factors such as economic increase, resources exploitation, ecosystem construction, traffic location, national policies, population migration are given, then the reasons of the dynamic evolvement differences of the three cities' urbanization are drawn. The study suggests that the self-organizing model is fit for the simulation of Jiuquan-Jiayuguan-Yumen regional urbanization level in the past 50 years, and the departure between the stimulant and the actual data is under 5%, so it can be used to predict the urbanization future of the three cities. The predicted results show that the regional population will reach 1.074 million and the regional urbanization level will be 72.56%.     

Water Environmental Degradation of the Source Area of the Yellow River on Northeast Qinghai-Tibet Plateau

Abstract

The issue on water environmental degradation in the source area of the Yellow River has been one of very serious ecological and socially economic problems. The temporal-spatial changes of water environment led to the decreasing of land capacity and river disconnecting. The status of water environmental degradation in this paper was analyzed based on the data and field investigation. The results indicated that the surface water area in the region has obviously decreased owing to the climate changes and human irrational use of water resources and the continuous lowering of the regional groundwater table and the steadily decreasing tendency of the flow rate in the source areas of the Yellow River.     

Research on the Variation of Population Distribution and Its Characteristics Based on Spatial Autocorrelation Method: A Case Study of Poyang Lake Region in Jiangxi Province

Abstract

According to Statistical Yearbook of Jiangxi Province (2001~2006), We analyze the time-space variation of population distribution of Poyang Lake region from the two points of view. The former is quality of population, which involves culture structure, occupational structure, age structure and sex structure of population. The latter is quantity of population, which only involves the amount of population. Furthermore, we can reveal the internal relations and action mechanism of variation of population distribution by analyzing the regional economic development, population urbanization, land use and ecological landscape of Poyang Lake region. It is important to provide help for region planning, ecological landscape planning and environmental protection by correct understanding the man-land relationship of natural-human ecosystem in Poyang Lake region.     

Decomposition of factors influencing carbon emissions in the region of Beijing–Tianjin–Hebei,based on the perspective of terminal energy consumption

In order to analyze the factors influencing carbon emissions in the region of Beijing–Tianjin–Hebei and to explore the pathways to developing a low-carbon economy, this paper begins with the terminal energy consumption of three industries and residential consumption, and constructs an identical equation which is composed of population size, level of economic development, energy intensity, the proportion of energy consumption, energy structure, and the coefficient of carbon emissions. Based on the data of terminal energy consumption during 2000–2012, various factors are analyzed and their contribution is measured by Logarithmic Mean Divisia Index (LMDI). The results show that the levels of population and economy have a positive driving effect while energy intensity, energy structure, and carbon intensity have a negative driving effect; the proportion of energy consumption had a negative driving effect prior to 2006, then changed to positive. Among suggestions for a low-carbon economy are controlling population size, improving the quality of economic development, supporting research into new energy technology, accelerating regional integration and optimizing industrial structure, and enhancing environmental protection and spreading the concept of a low-carbon economy.     

The Chinese western development initiative: new opportunities for mineral investment

The Western Development Initiative (WDI), launched in 2000 by the Chinese Government, will greatly change the modes and improve the quality of life of the 355 million people living in the western region of China. This paper presents a panoramic picture of the mineral industries under the framework of the WDI. First, it gives an overview of the WDI, including a summary of the favorable and unfavorable conditions for the WDI, the objectives, priorities and key geographical areas for the WDI and the national policies and measures for implementing the WDI. Second, it describes the roles of the mineral industries in the WDI. Finally, it details the policies and actions of the Chinese Government on the exploration and development of mineral resources in the western region in support of the WDI.     

耕作方式对太湖地区冬小麦生长季N2O排放的影响

采用静态暗箱-气相色谱法对2009年11月至2010年6月冬小麦(Triticum aestivum L.)生长季N2O排放通量进行田间原位观测,研究不同耕作方式(免耕、少耕、传统耕作)对太湖地区稻麦轮作系统麦季土壤N2O排放的影响。结果表明:有植株参与下免耕、少耕和传统耕作的冬小麦生长季N2O平均排放通量分别为63.75μg·m-2·h-1、39.94μg·m-2.h-1和48.83μg·m-2·h-1,无植株参与下分别为73.48μg·m-2·h-1、52.97μg·m-2·h-1和63.60μg·m-2·h-1,麦季N2O排放通量的季节变化与5 cm、10 cm土壤温度呈显著或极显著线性正相关(r=0.400*～0.654**,n=28)。小麦种植对N2O的排放影响较大,无植株参与的N2O季节总排放量显著高于有植株参与的处理(P<0.05);耕作方式显著影响冬小麦农田N2O季节总排放量(P<0.05),有植株参与下麦季N2O总排放量少耕较免耕和传统耕作分别减少37.3%和17.9%,无植株参与下分别减少28.0%和16.7%。研究表明太湖地区冬小麦采用少耕措施可减少麦季N2O的排放。     

碳排放与经济增长关系及驱动因素分析——以西北地区为例

选取2000--2010年我国西北地区（陕西、甘肃、青海、宁夏、新疆）5个省区能源消费数据和经济数据作为样本数据,根据IPCC碳排放计算指南,测算出西北各地区的碳排放量;采用脱钩理论对西北地区碳排放与经济增长脱钩状态进行分析,运用LMDI分解方法构建碳排放因素分解模型深入研究其驱动因素.研究结论显示,2001-2010年西北地区经济增长与碳排放的脱钩状态趋于不稳定状态,其中2002年、2004年为强脱钩,2001年、2007年、2009年、2010年为弱脱钩,2003年、2005年、2008年为扩展性负脱钩,2006年为增长连接;经济规模持续扩大是西北地区碳排放快速增长的关键因素,能源强度下降是抑制西北地区碳排放增长的主要因素,产业结构优化升级和能源结构调整是控制碳排放增加的潜在因素.