摘要：
Abstract: This paper analyzes carbon footprint based on energy utilization in Hubei Province adopting both qualitative and quantitative methods, and draws the following conclusions: 1) The carbon emissions showed a tendency to increase year by year in Hubei Province. The carbon emissions of coal occupied the largest proportion, followed by oil, with natural gas bringing up the rear in the three main fossil fuels, while the proportion of carbon emissions generated by biomass energy utilization presented a fluctuating downward trend. 2) The carbon footprint of Hubei’s total energy use appeared a rising trend in fluctuation, accounting for 0.243 hm2/cap in 2010, with 0.149 hm2/cap more than that of 1990. The carbon footprint density was growing rapidly, which had reached 566.20 t/km2 in 2010, almost three times of the amount in 1990. 3) While the economic value created by carbon footprint per unit energy utilization had been growing unceasingly, intensity of carbon footprint on energy use, namely energy consumption per unit GDP, had been declining constantly. That is, the benefits of energy use had been further improving continuously. 4) The calculated results of Ecological Pressure Intensity of Carbon Footprint (EPICF) indicated that the pressure on natural ecosystem caused by fast-growing economy was increasing. 5) There were significant differences between carbon footprint of various re-gions in Hubei Province, each of which was increasing in 2005-2010, and carbon footprint of major areas will be further enhanced with the rapid development of economy in Hubei. It is larger than any other district of Hubei province that whether carbon emissions or carbon footprint in Wuhan city.#@#@#摘要: 本文对基于能源利用的湖北省碳足迹进行了定性与定量相结合的分析，得出以下结论：1) 湖北省的碳排放量呈逐年增加的态势。煤炭的碳排放量所占的比重最大，石油所占比重次之，天然气的碳排放量是三种主要的化石能源中所占比例最小的，而生物质能利用中所产生的碳排放比重呈波动下降趋势。2) 湖北省能源利用的总碳足迹呈现波动上升的趋势，2010年达到0.243 hm2/人，比1990年增加0.149 hm2/人。碳足迹密度增长速度很快，到2010年已达566.20 t/km2，是1990年的将近3倍。3) 单位能源利用碳足迹所创造的经济价值不断增加的同时，能源利用碳足迹强度即单位GDP的能耗也在不断下降，能源利用的效益不断提高。4) 碳足迹生态压力计算结果表明，经济的快速发展对自然生态系统造成的压力在不断增大。5) 湖北省各地区间的碳足迹差异很明显，2005年至2010年各个地区的碳足迹均在增大，随着湖北省经济的快速发展，各大区域的碳足迹还将进一步增大。在各个地区中无论是碳排放量还是碳足迹都是武汉市最大。
作者机构：
[Gaoliao Jing; Yi Jie; Wen Xiong] College of Urban and Environmental Science,Central China Normal University;[Gaoliao Jing; Yi Jie; Wen Xiong] Yichun High School
会议名称：
2012 International Conference on Environmental and Materials Engineering(EME 2012)
会议时间：
2012-01-01
会议地点：
Seoul,Korea
摘要：
Taking urban population and area of urban built-up zones as parameters,a quantitative analysis about anthropogenic landscapes process in different urbanization stages is performed.Through the analysis
作者：
Jie Yi;Tang Liping;Yu Guangming;Jiang Zilong;Jing Gaoliao
期刊：
2010 The 2nd Conference on Environmental Science and Information Application Technology,2010年2:458-461
作者机构：
[Tang Liping; Yu Guangming; Jiang Zilong; Jing Gaoliao] College of Urban & Environmental Science, Central China Normal University, Wuhan, China;Faculty of Engineering, China University of Geoscience, Wuhan, China;[Jie Yi] Faculty of Engineering, China University of Geoscience, Wuhan, China<&wdkj&>College of Urban & Environmental Science, Central China Normal University, Wuhan, China
摘要：
Taking Futouhu which is the forth largest lake in Hubei Province as the study object, based on RS and GIS technologies, using the Landsat TM remote sensing images in 1991 and in 2005 as well as local chronicles as basic data resources, combined with field surveys and GPS positioning, the data on the dynamic changes of the area and the types of Futouhu wetland from 1991 to 2005 were obtained, and then the driving forces of these changes were analyzed. The results showed that great changes had taken place in the area and in types of Futouhu wetland during the study period, and the most important reason for these changes was human activities. On the other hand, these changes exerted negative influences on Futouhu wetland, which decreased the biodiversity and anti-jamming capability, and also which increased the vulnerability of the ecological environment in this region.
期刊：
2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS,2009年2:241-244
通讯作者：
Zhang Hailin
作者机构：
[Yang Yi; Jie Yi; Zhang Hailin; Zhang Xuesong; Jing Gaoliao] Cent China Normal Univ, Sch City & Environm Sci, Wuhan, Peoples R China.;[Gu Chengjun] Chuzhou Univ, Dept Land Informat Engn, Chuzhou, Peoples R China.
通讯机构：
[Zhang Hailin] C;Cent China Normal Univ, Sch City & Environm Sci, Wuhan, Peoples R China.
关键词：
Farmland;Driving Force;Shucheng County
摘要：
In the paper, based on the statistical data, an empirical study was carried out, the farmland changespsila driving forces over the past 50 years in Shucheng County of Anhui Province are analyzed and two conclusions are drawn. Firstly, the statistical data of Shucheng County show that there are two phases of farmland change. The farmland area had been increasing from 1949 to 1957 and decreasing from 1958 to 2000. Secondly, by the method of Factor Analysis, it is found out that, the natural factors are not the driving forces of the land sue change during nearly past half century and there are four main human factors including agricultural condition & yield, the cultivating structure of foodstuff crop, the cultivating structure of industrial crop and national policy. The linear regression result show total labor, peasant labor, pig raising quantity, the ratio of rice cultivating area to foodstuff cultivating area, total cultivating area, and multi-cropping index are key driving factors of land use change over the past fifty years.
关键词：
flood disaster;risk assessment;geographic information system;Hubei Province
摘要：
Based on the digital topographic map of 1/ 250000 scale, a primary assessment for flood risk in Hubei Province has been made by use of the strong function on space analysis and overlapping of GIS (Geographic Information System) platform. Firstly, through analysis and digitization, four raster coverages are obtained about the following factors that compose flood risk: precipitation, topography, water system (including rivers, lakes and reservoirs) and frequency of historical floods. Secondly, a map of assessment for flood risk in Hubei Province is made by overlapping these raster coverages of the four factors. Results show that, the flood risk is highest in Jianghan Plain and Xiangyang Plain, their risk classification value is 5; it is less high in the edge areas of the plain and low in hill areas, the risk classification value is 4; most part of the mountain areas in west, northeast and southeast of Hubei Province have relative lower flood risk of classification value 2; the high mountain area of Shenlongjia has lowest flood risk of classification value 1. The above result is agreed with the facts of flood disaster occurred in history.
