地理研究 ›› 2010, Vol. 29 ›› Issue (12): 2223-2232.doi: 10.11821/yj2010120011

• 环境与生态 • 上一篇    下一篇

2000~2006年广东省农田生物质能时空变化遥感分析

王芳1,2, 卓莉3, 陈健飞1,2, 冯艳芬1,2, 周涛1,2   

  1. 1. 广州大学地理科学学院,广州510006;
    2. 广州发展研究院,广州510006;
    3. 中山大学地理科学与规划学院,广州510275
  • 收稿日期:2009-12-03 修回日期:2010-10-12 出版日期:2010-12-20 发布日期:2010-12-20
  • 通讯作者: 卓莉(1973-),女,副教授,博士。E-mail:zhuoli@mail.sysu.edu.cn E-mail:zhuoli@mail.sysu.edu.cn
  • 作者简介:王芳(1973-),女,黑龙江人,副教授,博士。主要从事地理信息系统与遥感应用研究。 E-mail:wfdili@163.com
  • 基金资助:

    国家自然科学基金(40801034、40601010);广州市教育局科技计划项目(08C025); 广州大学科研创新团队项目

Spatial and temporal analysis of cropland bio-energy in Guangdong Province during 2000~2006 based on remote sensing

WANG Fang1,2, ZHUO Li3, CHEN Jian-fei1,2, FENG Yan-fen1,2, ZHOU Tao1,2   

  1. 1. School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China;
    2. Guangzhou Development Institute, Guangzhou 510006, China;
    3. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275,China
  • Received:2009-12-03 Revised:2010-10-12 Online:2010-12-20 Published:2010-12-20

摘要:

农田生物质能的数量、空间分布格局以及年际变化研究对于生物质能集约利用的规划、选址以及后续的原料供需预测尤为重要。本文基于EOS/MODIS卫星2000~2006年的MOD17A3数据集,在栅格尺度下,利用农田净初级生产力对广东省农田生物质能数量进行估算,分析其空间分异特征,应用邻域统计分析提取了生物质能分布优势带。并利用趋势线分析方法对其时间动态和年际稳定性进行研究。结果表明,广东省在2000~2006年间农田生物质能总量呈下降趋势,主要因为农田面积在不断减少。从另一方面看,农田生物质能单位平均能值总体呈略微上升趋势。其中2000~2002年均值呈明显的下降趋势,2002~2004年呈现迅速增加趋势,2004年后又呈现回落特征。单位平均能值最大的年份是2004年,为5775.10KJ/ (m2·a);最小为2002年,为 4697.87 KJ/ (m2·a)。区域单位能值的增长为农田生物能源的利用提供物质基础。研究结果能为区域农田生物能源利用提供数据支持和决策依据。

关键词: 农田生物质能, 遥感, 年际变化, MOD17A3, 广东省

Abstract:

It is very important to solve increasingly serious issues related to farmland bio-energy, such as energy crisis, environmental protection, and farmers' economic problems. For a long time, the research on bio-energy has mainly relied on traditional statistic data. As we know, because of data quality and spatial scales, the current available data cannot meet the needs of thorough research on bio-energy utilization. Therefore, it is very urgent to set up a new and comprehensive methodology using remote sensing and GIS technology to advance bio-energy research. Studies on farmland bio-energy's quantity, spatial distribution pattern and inter-annual changes are particularly important to intensive use planning, site selection of energy plants and follow-up raw material supply and demand forecasting. Based on NPP data derived from the EOS/MODIS satellite MOD17A3 datasets during 2000 to 2006, we estimated cropland bio-energy's quantity in Guangdong Province and analyzed the characteristics of its spatial change, and extracted bio-energy advantage distribution by using neighborhood statistical analysis. We then used the trend line analysis method to analyze inter-annual dynamic stability. The results show that total biomass of cropland in Guangdong Province declined during the study period, which is mainly caused by the steady decrease in cropland area during the same period; the average value of cropland bio-energy showed a slightly rising trend, but with great variance. The average value declined during 2000 to 2002, increased from 2002 to 2004, and declined again after 2004. The maximum and minimum average unit values are 5775.10KJ/(m2·a) in 2004 and 4697.87 KJ/(m2·a) in 2002, respectively. Growth of biomass per unit can provide a solid basis for the cropland bio-energy industry.

Key words: cropland bio-energy, remote sensing, inter-annual stability, MOD17A3, Guandong Province