• DocumentCode
    2709973
  • Title

    Relationship between landscape pattern and water quality in North Jiangsu plain river network region, China

  • Author

    Lv, Huihua ; Cai, Juan ; Xu, Youpeng

  • Author_Institution
    Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper took Yancheng region as the study area to explore the relationship between landscape pattern and water quality. Land use types were obtained from the classification of the TM images, 2006. Landscape patterns characterized by land use pattern and five selected landscape metrics were extracted from buffer zones, ranging from 200 to 1500m, and used in correlation analysis against various water quality parameters at 29 water quality monitoring stations. The results indicated that: (1)River water quality is closely associated with both the proportions of land use and landscape pattern. Water quality is more likely to be degraded when there is high percentage of built-up area, demonstrating that the percentage of built-up area was the key factor affecting the river water quality. (2)The relationship between landscape pattern and water quality also obey the rule of scale-dependent, and the explanatory power is enhanced with the increase of scale.
  • Keywords
    geographic information systems; image classification; rivers; terrain mapping; water quality; AD 2006; China; GIS; North Jiangsu plain river network region; TM image classification; Yancheng region; correlation analysis; land use pattern; landscape metrics analysis; landscape pattern; river water quality; water quality monitoring station; water quality parameter; Correlation; Land surface; Radiometry; Remote sensing; Rivers; Vegetation mapping; Water pollution; GIS; North Jiangsu plain; landscape pattern; plain river network region; water quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980910
  • Filename
    5980910