基于遥感和GIS的生物质能集约化利用

doi:10.6046/gtzyyg.2010.03.01

全文: PDF(1255 KB)

HTML
输出: BibTeX | EndNote (RIS)

摘要

低碳经济是一种以能源的清洁开发与高效利用为基础的社会经济发展新模式。开发利用生物质能，为大中型生物质发电工程提供稳定可靠的燃料保障，这在化石燃料日益枯竭的今天具有极其重要的现实意义。利用MODIS标准初级生产力数字产品（MOD 17）获取了广东省NPP（植被净初级生产力）分布图，结合由Landsat卫星影像处理生成的广东省土地利用类型图，得到了全省水稻生物质能的分布图及其统计数据。在此基础上，利用ArcGIS区域统计方法和区位配置模型筛选出了全省适宜发展水稻生物质能的最佳区位，认为肇庆、潮州附近区域比较适宜发展水稻生物质能产业。水稻生物质能定量化的估算和选址研究可为广东省开发利用水稻生物质能、发展低碳经济提供参考。

	服务

	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	冯晓明
	赵英时
	陈永康

关键词 ： MISR, 宽波段反照率, 理论反照率, 实际反照率

Abstract：

Low carbon economy, a new model for social and economic development, is based on making full use of clean energy. The utilization of bioenergy can provide dependable fuel for big or middle electricity-generating factories. It is very meaningful at present, because the fossil fuel is exhausted increasingly. This paper utilized MODIS standard product MOD 17 obtained from NASA Science Research Team to get the NPP of Guangdong province. In combination with land cover data created by TM images, the authors got the paddy’s biomass distribution map and some statistical data. The best locations for paddy’s bioenergy factories in Guangdong province were also determined by using Zonal Sum and Location-Allocation models in the ArcGIS. The results show that two cities (Zhaoqing and Chaozhou) and their neighborhood areas are suitable for bioenergy industry. The quantitative analysis of the paddy’s bioenergy in Guangdong Province can provide valuable information for low carbon economy in the future.

Key words： MISR Broadband albedo Inherent albedo Apparent albedo

收稿日期: 2010-03-12 出版日期: 2010-09-20

TP 79

基金资助:

国家海洋局青年海洋科学基金项目（编号： 2008425）、南海分局海洋科学技术局长基金项目（编号： 0831）及广东省自然科学基金项目（编号： 7300652）共同资助。

通讯作者: 张晓浩（1981- ），男，国家海洋局南海海洋工程勘察与环境研究院工程师，主要从事遥感与地理信息系统应用等方面的研究。

引用本文:

张晓浩, 娄全胜, 刘凯. 基于遥感和GIS的生物质能集约化利用[J]. 国土资源遥感, 2010, 22(3): 1-6.
ZHANG Xiao-Hao, LOU Quan-Sheng, LIU Kai. The Concentrative and Saving Utilization of Bioenergy Basedon Remote Sensing and GIS. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 1-6.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.03.01 或 https://www.gtzyyg.com/CN/Y2010/V22/I3/1

［1］IPCC. Land use, Land Use Change and Forestry Special Report, Inter-government Panel on Climate Change ［M］. Cambridge:Cambridge University Press, 2000.

［2］Larson W E. Crop Residue:Energy Production on Erosion Control［J］. Soil Water Conserve, 1979,34:74-76.

［3］Berndes G, Hoogwijk M, Van den Brock R. The Contribution of Biomass in the Future of Global Energy Supply:A Review of 17 Studies ［J］. Biomass and Bioenergy, 2003,25:1-28.

［4］Liao Cuiping, Yan yongjie, Wu Chuanzhi, et al. Study on the Distribution and Quality of Biomass Residues Resource in China ［J］. Biomass and Bioenergy, 2004,27:111-117.

［5］MOA/DOE Project Expert Team. Assessment of Biomass Resource Availability in China［M］. Beijing:China Environment Science Press, 1998:1-19.

［6］Schlesinger W H. Biogeochemistry:An Analysis of Global Change［M］. San Diego:Academic Press, 1997.

［7］Steingrobe B, Schmid H, Gutser G P, et al. Root Production and Root Mortality of Winter Wheat Grown on Sandy and Loamy Soils in Different Farming Systems［J］. Biology and Fertility of Soils, 2001,33:331-339.

［8］Lobell D B, Hicke L A, Asner G P, et al. Satellite Estimates of Productivity and Light Use Efficiency in the United States Agriculture, 1982~1998［J］. Global Change Biology, 2002,8:722-735.

［9］Shi X, Elmore A J, Li X, et al. Using Spatial Information Technologies to Select Sites for Biomass Power Plants:A Case Study in Guangdong, China［J］. Biomass and Bioenergy, 2008,32:35-43.

［10］黎夏, 刘凯. GIS与空间分析——原理与方法［M］. 北京:科学出版社, 2006.