摘要
基于遥感主成分分析(PCA),论文提出一种快速、准确及经济地识别填海造地时空分布的新方法。并以厦门市港湾地区为例,将1993与1996年,1996与1998年,1998与2001年,2001与2003年、2003与2006年共6期遥感影像融合后经PCA分析得出5个时间段内填海造地的空间分布信息,并结合相应阶段的城市发展战略进行分析。选取工业总产值、人口、港口货物吞吐量等统计数据作为填海造地行为的社会经济驱动因子进行回归分析,得出政策导向、工业的快速发展以及人口的增加等是厦门港湾地区填海造地的主要驱动因素。最后提出基于驱动机制和未来情景分析的港湾地区填海造地优化调控的政策建议。
Based on Principal Component Analysis （PCA） for remote sensing image, a new method was applied into identifying the spatio-temporal distribution of sea reclamation quickly and exactly. Taking Xiamen City as an example, the combinations of Remote Sensing Images, 1993 and 1996, 1996 and 1998, 1998 and 2001,2001 and 2003, and 2003 and 2006, were identified by PCA approach for the distribution of sea reclamation in the above five periods. In order to study the driving factors of sea reclamation at different development stages of Xiamen City, several indicators such as population, throughput of sea ports, gross industrial output value, etc. were chosen into the regress equation of the driving forces. As a result, the policy of city development, rapid industrialization and rapid increase of population are the main driving factors of sea reclamation in Xiamen City. Consequently, Strategy Environmental Impact Assessment of urban policy, Sea Area Utilization Demonstration and Payment were advised for the government to governing the sea reclamation activities.
出处
《自然资源学报》
CSCD
北大核心
2008年第1期161-169,共9页
Journal of Natural Resources
基金
国家自然科学基金(40576024)
国家海洋局908专项“海岛生态系统评价”(902-02-04-08)
上海同济高廷耀环保科技发展基金会青年博士杰出人才基金(2006年度)
关键词
填海造地
主成分分析
时空分布
驱动机制
sea reclamation
PCA
spatio-temporal distribution
driving force
