Analysis and Modeling on the Spatial Structure of Urban Land Use: A Case of Jinan, China

Based on the data of urban land use obtained by remote sensing interpretation from aero images in 1986 and 2004, the spatial structure of Jinan is studied in this paper with the method of Geographic Information System (GIS). According to the proportion of land for residence, industry and commerce, the urban district can be distinguished into three rings. Compared with the traditional theory of the ring structure in Western coun- tries, they have many distinctive characteristics. The main func- tions of the inner ring include residence, business and banking, but the proportion of residential land (more than 50%) is considerably higher than that of the cities in Western countries. The land proportion for residence and industry in the intermediate ring is equal on the whole. The main land of the outside ring is for industrial use. From 1986 to 2004, great changes have taken place on the land proportion of different types of use. In the inner ring, the land for residential and industrial use has shrunk much while the land for commercial use has increased. In the intermediate ring, the changes of the three types of land use were not very much and the temporal variation was relatively stable. On the contrary, the structure in the outside ring varies acutely. Though most of it is also for industrial use, the proportion of residential land has in- creased much. The three rings can also be divided into several sectors respectively, according to the function of land use clusters. New trends and mechanisms of the changes of land use impacting the urban structure were proposed in the end of the paper.     

Impact of Growing Income Inequality on Sustainable Development in China： A Provincial-level Analysis

A growing body of literature has documented the rapidly increasing income disparities that accompanied China＇s economic growth in the 1980s and 1990s, and the driving factors behind this. Growing income inequality in its turn may have important implications for the accumulation of physical capital, human capital, and natural capital and as a consequence for sustainable economic development. The purpose of this paper is to investigate the potential impact of income inequality on savings, human resources and the environment in China. It starts with an overview of the different causal mechanisms through which income inequality may affect the accumulation of physical capital, human capital, and natural capital, and discusses to what extent these causal relationships may be relevant in the case of China. Next, provincial data for the year 2002 are used to explore the relationship between income inequality and different elements of sustainable development in China. It is found that income inequality does not affect aggregate savings levels. Rising inequality, however, contributes to lower health and possibly also to higher fertility levels. It also lowers the use of chemical fertilizers in agriculture and therefore is likely to reduce water pollution. Other types of environmental degradation are not affected.     

中国土地灾害的现状分析与防治对策

本文通过对我国土地环境的调查与分析,发现耕地急剧减少、肥力下降、土壤污染、水土流失与土地沙化是目前土地灾害最主要的表现形式。对此,作者通过灾害的成因分析,提出了健全法规、强化国情认识、控制人口增长等七项决策。     

从山东省部分行业看工业节水潜力

本文采用万元产值取水量和水重复利用率作为节水指标,通过对山东省主要工业行业用水节水现状进行调查研究,阐述了各行业节水水平和节水经验,分析并预测了节水潜力,总结提出了各行业应采取的主要节水措施和建议。     

陕晋蒙三角区自然环境面临的主要灾害及对策

陕晋蒙三角区是我国未来一个新能源基地,在全国具有重要的地位。本文从该区的特点出发,论述了自然环境的主要灾害及成因,进而提出了减灾的相应措施与建议。     

长江三角洲城市旅游与城市发展协调性及影响因素

城市旅游业作为城市服务业的重要部门,是推动城市发展的后续动力。运用信息熵赋权法和TOPSIS法相结合,从经济水平、社会发展、公共交通、城市绿化、环境保护、旅游发展6个方面对长江三角洲2003年和2008年的城市旅游与城市发展的协调性进行分析,借助ArcGIS软件的空间聚类法分析了城市旅游与城市发展协调水平的空间格局及演变,最后探讨影响因素。结果表明:长江三角洲16城市的城市旅游协调水平在研究期间相对稳定,具体可被划分为4个等级,第一、二等级城市数量较少,得分显著高于第三、四等级城市。城市旅游协调水平空间上存在较大差异,北部城市得分高于南部城市,基本格局保持稳定,呈现以上海、南京、杭州三个城市为核心向外围边缘城市的空间衰减。产业发展、城市旅游发展模式、城市旅游重大项目投资、区位条件是长江三角洲城市旅游协调水平产生空间分化的主要影响因素,可制定以城市旅游发展为手段的方式推动城市发展,促进区域均衡发展。     

Soil warming effect on net ecosystem exchange of carbon dioxide during the transition from winter carbon source to spring carbon sink in a temperate urban lawn

The significant warming in urban environment caused by the combined effects of global warming and heat island has stimulated widely development of urban vegetations. However, it is less known of the climate feedback of urban lawn in warmed environment. Soil warming effect on net ecosystem exchange (NEE) of carbon dioxide during the transition period from winter to spring was investigated in a temperate urban lawn in Beijing, China. The NEE (negative for uptake) under soil warming treatment (temperature was about 5℃ higher than the ambient treatment as a control) was -0.71 μmol/(m².sec), the ecosytem was a CO₂ sink under soil warming treatment, the lawn ecosystem under the control was a CO₂ source (0.13 μmol/(m².sec)), indicating that the lawn ecosystem would provide a negative feedback to global warming. There was no significant effect of soil warming on nocturnal NEE (i.e., ecosystem respiration), although the soil temperature sensitivity (Q₁₀) of ecosystem respiration under soil warming treatment was 3.86, much lower than that in the control (7.03). The CO₂ uptake was significantly increased by soil warming treatment that was attributed to about 100% increase of α (apparent quantum yield) and A_max (maximum rate of photosynthesis). Our results indicated that the response of photosynthesis in urban lawn is much more sensitive to global warming than respiration in the transition period.     

1980—2010年温榆河的水环境质量时空演变特征

以温榆河流域的主要超标污染物 COD 和氨氮为研究对象,通过历史数据和现场调查,系统研究了1980—2010年间温榆河的水环境质量时空演变特征.结果表明,温榆河流域水环境质量经历了清洁-污染-重度污染-污染遏制的过程,但水质现状均不达标;温榆河流域水环境质量好坏依次是上段>下段,温榆河>坝河>清河,并且Pearson相关分析表明,温榆河下段COD和NH+4-N浓度主要受清河影响;温榆河流域COD污染逐步遏制(超标倍数<1)、NH+4-N污染凸显(超标倍数8～20),耗氧物质处于从COD为主向NH+4-N为主转换的阶段;支流清河和坝河不仅是温榆河干流入河污染负荷的首要输入途径,而且支流上污水集中处理设施的排水是温榆河干流的首要补给来源(70.1%),其运行状况与升级改造对改善温榆河水环境质量至关重要.     

基于水质模拟的不确定条件下两阶段随机水资源规划模型

针对流域内不同企业的水资源分配及企业生产污染排放导致的水环境问题,运用区间两阶段随机规划的方法,耦合区间两阶段模型（ITSP）和区间水质模型（IS-P）,建立不确定两阶段随机水质-水量耦合规划模型（ITSP-SP）.该模型以流域内系统利益最大为目标函数,模拟了流域内各个企业的水量分配及排污过程中河道水质变化,并在保证河流水质达标前提下优化预计分配水量,调整企业生产规模.通过模型运算得到区间解,为管理者提供了多样的决策方案.并且,该模型充分考虑不确定因素对系统利益的影响,能够有效的规避系统决策失误及方案缺失现象.