上海城市土地利用转变类型及其空间关联分析

基于多时段TM遥感影像资料,通过地图代数和空间关联分析、相邻度分析等空间分析手段的综合应用,论文对上海地区近10年来城市土地利用变化类型、形成过程和相关空间机制进行了研究,结果表明:①近10年来上海城市土地利用扩展经历了“单核扩展”模式为主(1987～1990年)到“单核扩展”、“多核扩展”与“点-轴”扩展模式并存(1990～1995年),直至“多核扩展”及“点-轴”等复杂扩展模式为主(1995～2000年)的变化过程,导致上海中心城区和郊县城镇规模急剧扩张,交通干道沿线区域城市化过程明显增强,并形成整个上海地区城市化网络结构;②面积贡献率较大、转变频率较低的城市土地利用变化类型,与其他类型之间具有较高的关联度和空间亲和性,构成中心城区或卫星城、郊区城镇的扩展核心;③面积贡献率较低的类型,其转变频率较高,分布零散,构成扩展核的外围部分,这些城市周边地区存在一定程度紊乱、不合理的土地利用、开发活动;④城市化过程的内在空间机制与土地利用类型的面积和转变频率有密切关系。在更精细的尺度上依据转变频率划分的类别在一定程度上能更好体现城市土地利用变化类型的空间分异,及其作为宏观驱动机制的社会经济因子所具有的空间差异性。     

东北三省农田生态系统碳排放时空分异特征及驱动因素研究

根据2000—2014年东北三省碳排放的相关数据,结合空间探索性分析及地理加权回归等模型方法,对研究区农田生态系统碳排放量的空间集聚性、差异性及其重要驱动因素进行研究.结果表明:东北三省农田生态系统碳排放量存在比较显著的全局空间正相关,自相关性在整体上表现出逐渐增强的趋势,到2014年全局Moran's I指数达到最高值0.3395.在局部空间相关关系上,东北三省农田生态系统碳排放量的高-高区域集中在黑龙江省和吉林省,低-低地区主要集中在辽宁省,表现出不平衡的发展格局.人均GDP对农田生态系统碳排放有负效应,总人口数对农田生态系统碳排放的影响从正效应转变为负效应,化肥施用对农田生态系统碳排放影响程度的空间分布格局发生了较大变化,代表生产技术水平和能源消耗的农业化肥施用量和农业机械总动力因素对农田生态系统碳排放的影响较大,东北三省农田生态系统碳排放和农业机械总动力相关程度有逐渐趋同的趋势.     

城区天然气配气站噪声的产生及防治

城区天然气配气站噪声超标已成为供气部门亟待解决的难题,文章分析了配气站噪声污染现状,指出噪声产生原因主要为天然气流动,供气量增长使设备超负荷运行等7个方面。分别针对现有配气站和新建、改扩建站场提出降噪措施,指出设备在额定范围内运行、气体流速控制、工艺改造等是噪声控制的重要手段。并对城区天然气配气站噪声治理的进一步研究提出了建议。     

工业化进程中城市土地可持续利用评价——以合肥市为例

工业化始终是影响城市土地可持续利用的一个重要因素。从多方面综合分析了合肥市工业化进程,在概括工业化进程中土地利用变化的基础上,选择20个因素作为参评因子,建立评价指标体系,评判合肥市1996—2005的土地可持续利用综合水平,并进行了定量"障碍度"分析,最后针对主要障碍因素提出土地可持续利用的对策。     

安徽省中小型城市用地扩展研究——以滁州市为例

以滁州市1966年的地形图,1978年、1987年、1995年、2000年及2006年的遥感影像为数据源,提取滁州市6个时段的建成区面积对其用地扩展进行了研究。结果表明,滁州市建成区面积在1966-2006年间面积增加了7．84倍,扩展速度经历了先快后慢的过程;发展方向以东南方向为主,40年间城市中心向东、南方向分别迁移了1084m和1940m对揭示安徽省中小型城市用地的发展特征具有一定意义。     

Suspended Particulate Matter Distribution in Rural-Industrial Satna and in Urban-Industrial South Delhi

An air quality sampling program was designed and implemented to collect the baseline concentrations of respirable suspended particulates (RSP = PM₁₀), non-respirable suspended particulates (NRSP) and fine suspended particulates (FSP = PM_2.5). Over a three-week period, a 24-h average concentrations were calculated from the samples collected at an industrial site in Southern Delhi and compared to datasets collected in Satna by Envirotech Limited, Okhla, Delhi in order to establish the characteristic difference in emission patterns. PM_2.5, PM₁₀, and total suspended particulates (TSP) concentrations at Satna were 20.5 ± 6.0, 102.1 ± 41.1, and 387.6 ± 222.4 μg m⁻³ and at Delhi were 126.7 ± 28.6, 268.6 ± 39.1, and 687.7 ± 117.4 μg m⁻³. Values at Delhi were well above the standard limit for 24-h PM_2.5 United States National Ambient Air Quality Standards (USNAAQS; 65 μg m⁻³), while values at Satna were under the standard limit. Results were compared with various worldwide studies. These comparisons suggest an immediate need for the promulgation of new PM_2.5 standards. The position of PM₁₀ in Delhi is drastic and needs an immediate attention. PM₁₀ levels at Delhi were also well above the standard limit for 24-h PM₁₀ National Ambient Air Quality Standards (NAAQS; 150 μg m⁻³), while levels at Satna remained under the standard limit. PM_2.5/PM₁₀ values were also calculated to determine PM_2.5 contribution. At Satna, PM_2.5 contribution to PM₁₀ was only 20% compared to 47% in Delhi. TSP values at Delhi were well above, while TSP values at Satna were under, the standard limit for 24-h TSP NAAQS (500 μg m⁻³). At Satna, the PM₁₀ contribution to TSP was only 26% compared to 39% in Delhi. The correlation between PM₁₀, PM_2.5, and TSP were also calculated in order to gain an insight to their sources. Both in Satna and in Delhi, none of the sources was dominant a varied pattern of emissions was obtained, showing the presence of heterogeneous emission density and that nonrespirable suspended particulate (NRSP) formed the greatest part of the particulate load.     

Characteristics and driving factors of marsh changes in Zhalong wetland of China

Zhalong National Nature Reserve in the northeast of China is a large wetland and a habitat of hundreds species of fauna and flora. The rare red-crowned crane is one kind of endangered birds in it. Recently, Zhalong wetland is shrinking and it encounters many problems including occasional fires, bad water quality, human activities, etc. In order to find out a proper way to protect and restore the wetland, this study, using a geographic information system, the global positioning system and remote sensing techniques, analyses the spatial characteristics of the changes in marsh landscape pattern and examines the driving factors for these changes. Data sources include 8 Landsat Thematic Mapper satellite images of Zhalong area in the period of 1986–2002 and the investigation information on site. Based on the analysis of changes of marsh area and annual precipitation during the 16 years, it is found that there is a close correlation between annual precipitation and marsh area. It means that climate is one of driving factors of marsh pattern changes. To understand influences of other kinds of land uses on marsh spatial distribution in Zhalong wetland, this paper analyses the relationship between marsh and different kinds of land uses, such as water surface, residential area, farmland, salina land and grass land, respectively. According to the patch analysis theory, a fragmental index and a fractal dimension of the marsh are calculated with perimeter-area method. The results indicate that the marsh pattern is affected by human activities significantly. In addition, the location alteration of marsh centroid point over the 16 years is studied. The movement trace of marsh centroid point is concerned with different hydrological situation in different areas of the wetland. In summary the characteristics of the marsh landscape pattern evolution during the 16 years are affected by multiple driving factors. The main driving factors are climate, human activities, distribution of other kinds of land uses and hydrological situation in different areas.     

Using Spatial Pattern to Quantify Relationship Between Samples, Surroundings, and Populations

The need for accurate carbon budgeting, climate change modelling, and sustainable resource management has lead to an increase in the number of large area forest monitoring programs. Large area forest monitoring programs often utilize field and remotely sensed data sources. Sampling, via field or photo plots, enables the collection of data with the desired level of categorical detail in a timely and efficient manner. When sampling, the aim is to collect representative detailed data enabling the statistical reporting upon the characteristics of larger areas. As a consequence, approaches for investigating how well sample data represent larger areas (i.e., the sample neighbourhood and the population) are desired. Presented in this communication is a quantitative approach for assessing the nature of sampled areas in relation to surrounding areas and the overall population of interest. Classified Landsat data is converted to forest/non-forest categories to provide a consistent and uniform data set over a 130,000 km² study region in central British Columbia, Canada. From this larger study area 322 2 × 2 km photo plots on a 20 × 20 km systematic grid are populated with composition and configuration information for comparison to non-sampled areas. Results indicate that typically, within the study area, the spatial pattern of forest within a photo plot is representative of the forest patterns found within primary and secondary neighbourhoods and over the entire population of the study. These methods have implications for understanding the nature of data used in monitoring programs worldwide. The ability to audit photo and field plot information promotes an increased understanding of the results developed from sampling and provides tools identifying locations of possible bias.     

上海与伦敦城市绿地的生态功能及管理对策比较研究

在资料收集及实地采样调查的基础上 ,文章对上海与伦敦城市绿地的生态功能及管理对策进行了比较分析 ,指出了上海城市绿地建设及管理中的一些优点及不足之处。     

对重庆城镇网络建设的探讨

在分析重庆直辖市城镇化现状的基础上,针对重庆城镇网络中存在的问题,依据重庆发展城镇网络的优势,提出了建立新的城镇网络扔基本思路和构想,相关的对策与建议。