Chinese Geographical Science

, Volume 18, Issue 1, pp 85–92 | Cite as

Entire catchment and buffer zone approaches to modeling linkage between river water quality and land cover—A case study of Yamaguchi Prefecture, Japan

  • Bahman Jabbarian Amiri
  • Kaneyuki Nakane


This study investigated the linkages between river water quality and land use in river catchments in Yamaguchi Prefecture, the western Japan, in order to examine the effect of land use changes of both entire catchment and buffer zone on river water quality. Dissolved Oxygen (DO), pH, Biological Oxygen Demand (BOD), Suspended Solids (SS), Escherichia coli, Total Nitrogen (TN) and Total Phosphorus (TP) were considered as river water quality indicators. Satellite images were applied to generating the land use map. Multiple regression model was applied to linking the changes in the river water quality with the land uses in both entire catchment area and buffer zone. The results indicate that the integrative application of land use data from the entire catchment and the buffer zone could give rise to more robust model to predict the concentrations of Suspended Solids (r 2=0.88) and Total Nitrogen (r 2=0.90), rather than models which separately considered land use data in catchment and buffer zone.


land use water quality buffer zone entire catchment Yamaguchi Prefecture Japan 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Ahearn D S, Sheibley R W, Dahlgren R A et al., 2005. Land use and land use influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. Journal of Hydrology, 313: 234–247.CrossRefGoogle Scholar
  2. Amiri B J, Nakane K, 2006. Modeling the relationship between land use and river water quality in the Yamaguchi Prefecture of Japan. Journal of Ecology and Field Biology, 29(4): 343–352.CrossRefGoogle Scholar
  3. Basnyat P, Teeter L D, Flynn K M et al., 1999. Relationships between landscape characteristics and nonpoint source pollution inputs to coastal estuaries. Environmental Management, 23(4): 539–549.CrossRefGoogle Scholar
  4. Chen L, Fu B, Zhang S et al., 2002. A comparative study on nitrogen-concentration dynamics in surface water in a heterogeneous landscape. Environmental Geology, 42: 424–432.CrossRefGoogle Scholar
  5. Chatterjee S, Hadi A S, Price B, 2000. The Use of Regression Analysis by Example. New York: John Wiley and Sons.Google Scholar
  6. Fu B J, Zhao W W, Chen L D, 2005. Eco-hydrological effects of landscape pattern change. Landscape Ecological Engineering, 1: 25–32.CrossRefGoogle Scholar
  7. ILWIS (Integrated Land and Water Information System), 2004. The Remote Sensing and GIS Software. The Netherlands: ITC.Google Scholar
  8. Jarvie H P, Oguchi T, Neal C, 2002. Exploring the linkage between river water chemistry and watershed characteristics using GIS-based catchment and locality analyses. Regional Environment Change, 3: 36–50.CrossRefGoogle Scholar
  9. Johnson L B, Richards C, Host G E et al., 1997. Landscape influences on water chemistry in midwestern stream ecosystems. Freshwater Biology, 37(1): 193–208.CrossRefGoogle Scholar
  10. Jones K B, Neale A C, Nash M S et al., 2001. Predicting nutrient and sediment loadings to streams from landscape metrics: A multiple watershed study from the United States Mid-Atlantic Region. Landscape Ecology, 16: 301–312.CrossRefGoogle Scholar
  11. Neter J, Kutner H M, Nachtsheim C J, 1996. Applied Linear Statistical Models. McGraw-Hill/Irwin. 4th ed. Chicago, USA.Google Scholar
  12. Norton M M, Fisher T R, 2000. The effects of forest on stream water quality in two coastal plain watersheds of the Chesapeake Bay. Ecological Engineering, 14: 337–362.CrossRefGoogle Scholar
  13. Sliva L, Williams D D, 2001. Buffer zone versus entire catchment approaches to studying land use impact on river water quality. Water Research, 35(14): 3462–3472.CrossRefGoogle Scholar
  14. Woli P K, Toshiyuki N, Hatano R, 2002. Evaluating impact of land use and N budgets on stream water quality in Hokkaido, Japan. Nutrient Cycling in Agroecosystems, 63: 175–184.CrossRefGoogle Scholar
  15. Zhu Z, Yang L, Stehman S et al., 2000. Accuracy assessment of U.S. Geological Survey Regional Land use Mapping Program: New York and New Jersey. Photo. Eng. Rem. Sens., 66: 1425–1435.Google Scholar

Copyright information

© Science Press 2008

Authors and Affiliations

  1. 1.Division of Environmental Dynamics and Management, Graduate School of Biosphere ScienceHiroshima UniversityHigashi-HiroshimaJapan

Personalised recommendations