Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1990, Vol. 2 Issue (1) : 47-52     DOI: 10.6046/gtzyyg.1990.01.08
Questions and Discussion |
A RELATIONSHIP BETWEEN RIVERINE LANDSLIDE AND HYDRODYNAMISM IN UPPER COURCE OF YANGTZE RIVER(THE SECTION FROM CHONGQING TO PEISHI)
Liu Shangzhong
The remote sensing station Sichuan Sureau of Geology & Mineral Resource
Download: PDF(1458 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

In this paper analyses of stream pattern and fluvial land form and hydro logical regime suggest that a stability of shore Yangtze's in addition to lithlogical character and structural condition, depends particularly on a roe fluvial land form and hydrodynamic process in formation of landslides along the upper course. For example a remobilization of landslide at Jipaz Yunyang County Sichuan Province on July 1982 shows that no considering geologic process of river has been landslide controlled is inopportunely.

Keywords  Landuse      Vector to Raster      Accuracy Loss     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZhAO Lei
MENG Shu-Yang
ZHANG Hua-zhong
LIAN Hong-tao
SUI Qi-fa
Cite this article:   
ZhAO Lei,MENG Shu-Yang,ZHANG Hua-zhong, et al. A RELATIONSHIP BETWEEN RIVERINE LANDSLIDE AND HYDRODYNAMISM IN UPPER COURCE OF YANGTZE RIVER(THE SECTION FROM CHONGQING TO PEISHI)[J]. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(1): 47-52.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1990.01.08     OR     https://www.gtzyyg.com/EN/Y1990/V2/I1/47
[1] ZHAO Lei, MENG Shu-Ying, LI Yu. THE APPLICATION OF DEM TO THE STUDY OF SCALE EFFECT IN LAND USE SPATIAL DATA CONVERSION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(4): 72-77.
[2] ZhAO Lei, MENG Shu-Yang. AN ANALYSIS OF ACCURACY LOSS DURING RASTERING LAND USE
SPATIAL DATA WITH DIFFERENT GRID SIZE
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(2): 45-48.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech