Journal of Ecology and Environment

한국생태학회 (The Ecological Society of Korea)
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Modeling the Relationship between Land Cover and River Water Quality in the Yamaguchi Prefecture of Japan

  • Amiri, Bahman Jabbarian (Division of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University) ;
  • Nakane, Kaneyuki (Division of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University)
  • 발행 : 2006.08.30
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초록

This study investigated the relationship between land cover and the water quality variables in the rivers, which are located in the Yamaguchi prefecture of West Japan. The study area included 12 catchments covering $5,809\;Km^2$. pH, dissolved oxygen, suspended solid, E. coli, total nitrogen and total phosphorus were considered as river water quality variables. Satellite data was applied to generate land cover map. For linking alterations in land cover (at whole catchment and buffer zone levels) and the river water quality variables, multiple regression modeling was applied. The results indicated that non-spatial attribute (%) of land cover types (at whole catchment level) consistently explained high amounts of variation in biological oxygen demand (72%), suspended solid (72%) and total nitrogen (87%). At buffer zone-scale, multiple regression models that were developed to represent the linkage between the alterations of land cover and the river water quality variables could also explain high level of total variations in suspended solid (86%) and total nitrogen (91%).

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참고문헌

  1. Ahearn DS, Sheibley RW, Dahlgren RA, Anderson M, Johnson J, Tate KW. 2005. Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. J Hydrol 313: 234-247 https://doi.org/10.1016/j.jhydrol.2005.02.038
  2. Bouraoui F, Vachaud G, Chen T. 1998. Prediction of the effect of climatic changes and land use management on water resources. Physics Chem Earth 23(4): 379-384 https://doi.org/10.1016/S0079-1946(98)00041-X
  3. Changnon SA, Demissie M. 1996. Detection of changes in stream flow and floods resulting from climate fluctuations and land use drainage changes. Climatic Change 32: 411-421 https://doi.org/10.1007/BF00140354
  4. Chatterjee S, Hadi AS, Price B. 2000. The use of regression analysis by example. John Wiley and Sons, New York, USA
  5. Erskine WD, Mahmoudzadeh A, Myers C. 2002. Land use effects on sediment yields and soil loss rate in small basins of triassic sandstone near Sydney, Australia. CATENA 49: 271-287 https://doi.org/10.1016/S0341-8162(02)00065-6
  6. ESRI (Environmental Systems Research Institute). 1999. ArcView GIS Software. Redlands, California, USA
  7. Ferrier RC, Whitenhead PC, Sefton C, Edwards AC, Pugh K. 1995. Modeling impacts of land use change and climate change on nitrate- nitrogen in the River Don, North East Scotland. Water Research 29(8): 950-956
  8. Higashi T, Nakane K. 1985. Relationship between turbidity in a river water and land use types in the basin, Mem. Faculty of Integrated Arts and Science, Hiroshima University, Series IV, 10: 69-83
  9. Hubbard RK, Newton GL, Hill GM. 2004. Water quality and the grazing animal. J Animal Sci 82 (E. Suppl.): 255-263
  10. Hubbard RK, Sheridan JM. 1989. Nitrate movement to groundwater in the,southeastern Coastal Plain. J. Soil Water Conserv 44: 20-27
  11. Hulme M, Hossel JE, Parry ML. 1993. Future climate change and land use in the UK. Geograph J 159(2): 131-147 https://doi.org/10.2307/3451403
  12. Integrated Land and Water Information System (ILWIS). 2004. The Remote Sensing and GIS Software. ITC, the Netherlands
  13. Jensen JR. 1998. Introductory digital image processing: A remote sensing approach (2nd ed). Prentice Hall
  14. Kaste O, Henriksen A, Hindar A. 1997. Retention of atmosphericallyderiven nitrogen in subcatchments of the Bierkreim river in Southwestern Norway. Ambio 26: 269-303
  15. Kelsey H, Porter DE, Scott G, Neet M, White D. 2004. Using geographic information systems and regression analysis to evaluate relationships between land use and fecal coliform bacterial pollution. J Exper Marine Biol Ecol 298: 197- 209 https://doi.org/10.1016/S0022-0981(03)00359-9
  16. Lee MD, Bastemeijer TF. 1991. Drinking water source protection: a review of environmental factors affecting community water supplies. Occasional Paper 15. IRC Int'l Water Sanitation Center, The Hague, Holland. pp 5-34
  17. Mander U, Kull A, Tamm V, Kuusements V, Karjus R. 1998. Impact of climatic fluctuations and land use change on runoff and nutrient losses in rural landscape. Landsc Urban Plan 41: 229-238 https://doi.org/10.1016/S0169-2046(98)00061-9
  18. Mattikalli NM, Richards KS. 1996. Estimation of surface water quality changes in response to land use change: application of the export coefficient model using remote sensing and geographical information system. J Environ Manag 48: 263-282 https://doi.org/10.1006/jema.1996.0077
  19. Meissner R, Seeger J, Rupp H, Balla H. 1999. Assessing the impacts of agricultural land use changes on water quality. Water Sci Tec 40(2): 1-10
  20. Neter J, Kutner HM, Nachtsheim CJ, Wasserman W. 1996. Applied Linear Statistical Models. Irwin, Chicago, Illinois, USA
  21. Ngoye E, Machiwa J. 2004. The influence of land use patterns in the Ruvu river catchment on water quality in the river system. Physics Chem Earth 29: 1161-1166 https://doi.org/10.1016/j.pce.2004.09.002
  22. Norton MM, Fisher TR. 2000. The effects of forest on stream water quality in two coastal plain watersheds of the Chesapeake Bay. Ecol Engin 14(4): 337-361 https://doi.org/10.1016/S0925-8574(99)00060-9
  23. Richards C, Host G. 1994. Examining land use influences on stream habitats and macroinvertebrates. Water Resourc Bull 30: 729-739 https://doi.org/10.1111/j.1752-1688.1994.tb03325.x
  24. Tong STY. 1990. The hydrologic effects of urban land use: A case study of the Little Miami River Basin. Landsc Urban Plan 19: 99-105 https://doi.org/10.1016/0169-2046(90)90037-3
  25. Tong STY, Chen W. 2002. Modeling the relationship between land use and surface water quality. J Environ Manag 66: 377-393 https://doi.org/10.1006/jema.2002.0593
  26. Wu RS, Haith DA. 1993. Land use, climate and water supply. J Water Resourc Plan Manag 119(6): 685-704 https://doi.org/10.1061/(ASCE)0733-9496(1993)119:6(685)

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