地理科学 ›› 2011, Vol. 31 ›› Issue (2): 197-203.doi: 10.13249/j.cnki.sgs.2011.02.197

• 论文 • 上一篇    下一篇

基于HJ-1号卫星数据的太湖悬浮物浓度空间分布和变异研究

夏叡1, 李云梅1, 吴传庆2, 金鑫1, 王彦飞1   

  1. 1. 南京师范大学虚拟地理环境教育部重点实验室, 江苏 南京 210046;
    2. 环境保护部环境卫星应用中心, 北京 100094
  • 收稿日期:2010-04-24 修回日期:2010-06-28 出版日期:2011-02-20 发布日期:2011-02-20
  • 基金资助:
    国家水体污染控制与治理科技重大专项"国家水环境遥感技术体系研究与示范(2009ZX07527-006)"、国家自然科学基金项目"面向湖泊水色遥感的多源数据融合与生成研究(40971215)"资助。

Spatial Distribution and Variation of Concentration of Suspended Solids in Taihu Lake based on HJ-1 Satellite Data

XIA Rui1, LI Yun-mei1, WU Chuan-qin2, JIN Xin1, WANG Yan-fei1   

  1. 1. Virtual Geographical Environment Laboratory of Ministry of Education, Nanjing Normal University, Nanjing, Jiangsu 210046, China;
    2. Environmental Satellite Application Center of Ministy of Environmental Protection, Beijing 100094, China
  • Received:2010-04-24 Revised:2010-06-28 Online:2011-02-20 Published:2011-02-20

摘要: 以太湖为研究区,利用环境1号卫星第4波段建立的线性模型反演了太湖悬浮物浓度,得到2009年全年太湖悬浮物质量浓度空间分布特征。通过等间距的布点和地统计学的相关原理,揭示太湖悬浮物浓度的空间变异特征。结果表明:2009年太湖悬浮物浓度值比较高,大都集中在30~50mg/L和50~70mg/L,高值区从西北太湖或西南太湖区域逐渐向湖心扩散,最终在湖心形成大面积区域。通过地统计学分析发现,太湖悬浮物具有块金效应和强烈的空间相关性,其中6月份的变程最小,为9.2km,而2009年其他月份的变程都大于20km。

Abstract: Taking Taihu Lake as the study area, this paper built linear model based on the satellite data of band 4 of HJ-1, to inverse the concentration of suspended solids and studied the spatial distribution of suspended solids in different months.By extracting each sample’s concentration by sampling equidistantly, the spatial variation can be known by geostatistics.The result shows that the concentration of suspended solids was very high during 2009, and the main grades were 30-50 mg/L and 50-70 mg/L.The distribution of high value zone spread from the northwest or southwest to the center of Taihu Lake.At last, a large area of high value zone was formed in the lake center finally.By the geostatistics theory, we can find that the spatial variation of suspended solids in Taihu Lake existed objective.Not only has it nugget effect, but also it has a strong spatial correlation.The ranges of variation in 2009 were greater than 20 km, except June in which that was 9.2 km.

中图分类号: 

  • X524