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河流悬沙浓度的地面遥感预测方法初步研究——以金沙江下游支流为例

Preliminary Study on Estimation of Suspended Sediment Concentration in Rivers with in-Situ Remote Sensing Technique——an Example from the Lower Jinsha Tributary

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【作者】 周跃吕喜玺陈平S.Liaw

【Author】 ZHOU Yue~1,ZHU Yun-mei~1,LU Xi-xi~2,CHEN Ping~3,S.Liaw~3(1.Faculty of Environmental Science and Engineering,Kunming University of Science and Technology,Kunming 650093,China;2.Department of Geography,National University of Singapore,119260,Singapore;3.Centre for Remote Imaging,Sensing and Processing(CRISP),National University of Singapore,119260,Singapore)

【机构】 昆明理工大学环境科学与工程学院新加坡国立大学地理系新加坡国立大学遥感图像处理中心新加坡国立大学遥感图像处理中心 云南昆明650093119260新加坡119260新加坡

【摘要】 以金沙江中下游一级支流龙川江为例,通过探讨河流地面反射光谱与河流悬沙浓度的关系,初步开发了河流悬沙浓度的地面遥感预测技术.研究发现,基于R800/R550的经验模型,仅能够预测浓度范围在400 g/m3以下的悬沙浓度值,对于较低悬沙浓度的河流或其他水域有较大运用价值.光学拟合技术能够预测龙川江在其整个变化范围的河流悬沙浓度,最高预测浓度可以达到13 000 g/m3.通过直接运用两种方法,或者进一步将它们提升成为卫星遥感运用技术后,对于中国西南众多的江河湖库有着重要的理论和现实意义.

【Abstract】 Taking one of the lower Jinsha tributaries Longchuan River for example,the relation between reflectance spectra and suspended sediment concentration of river water is discussed in this paper.Ground remote sensing techniques for estimating suspended sediment concentration is preliminarily developed.It is shown that the experience model,based on the ratio of reflectance at(800nm) and(500nm) wavelength bands,can only forecast the water with the suspended sediment concentration below(400g/m~3).It can be used in the rivers with lower sediment concentration.The spectral optical model can forecast suspended sediment concentration of Longchuan River in its whole range,and the highest forecast concentration can reach(1300g/m~3).Througn the two methods,or improing them to be satellite remote sensing technique,the important theory and practical significance are given for the rivers and lakes in the southwest of China.

【基金】 国家973项目(项目编号:2003CB415105-6);云南省人才基金项目(项目编号:1999D0027G);云南省自然科学基金项目(项目编号:2002D0017M);国家水土保持生态修复云南大姚试点监测项目联合资助
  • 【文献出处】 昆明理工大学学报(理工版) ,Journal of Kunming University of Science and Technology , 编辑部邮箱 ,2005年05期
  • 【分类号】P332.5;
  • 【被引频次】2
  • 【下载频次】111
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