GIS Analysis of Eighteen-year Trend in Land Use, Runoff, and Nonpoint Load Characteristics in the Lake Biwa–Yodo River Basin

  • WADA Keiko
    Institute of Lake Biwa-Yodo River Water Environmental Research, Lake Biwa-Yodo River Water Quality Preservation Organization
  • NAKAMURA Masahisa
    Research Center for Sustainability and Environment, Shiga University
  • SATO Keisuke
    College of Science and Engineering, Ritsumeikan University
  • TSUNO Hiroshi
    Institute of Lake Biwa-Yodo River Water Environmental Research, Lake Biwa-Yodo River Water Quality Preservation Organization
  • FUKUJU Shinya
    Nikken Sekkei Civil Engineering LTD

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Other Title
  • 琵琶湖流域における土地利用変化と非特定汚染源汚濁負荷への影響-過去18年間のGIS解析を通じて-
  • ビワコ リュウイキ ニ オケル トチ リヨウ ヘンカ ト ヒトクテイ オセン ゲン オダク フカ エ ノ エイキョウ : カコ 18ネンカン ノ GIS カイセキ オ ツウジテ

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Abstract

<p>Making use of relevant Geographic Information System (GIS) data, an attempt was made to analyze the changes in the magnitude and spatial distribution of the land-based sources of nonpoint pollution loads for the entire Lake Biwa–Yodo River Basin over the 18-year period between 1991 and 2009. Specifically, the magnitudes per unit area of the runoff coefficient and of the COD, T-N and T-P pollutant loads, respectively, were computed and displayed as GIS visual images. The resulting GIS outputs indicate that the runoff coefficient increased along the riparian zones of rivers and around the lakeshore in the middle and lower basin regions, except for the mountainous regions. This implies that the pollutants flow directly into the immediately adjacent receiving waterbodies. Also, the trends of water pollutants were found to be affected by the unit load. The runoff coefficient and the COD loads were related with the progress of urbanization, indicating that the increase and decrease in T-N and T-P pollutant loads were caused by the conversion of land mainly from paddy agriculture to other agricultural purposes. In conclusion, it was confirmed that the results displayed in the form of GIS outputs are useful not only for numerical assessment but also for the assessment of spatial distributions.</p>

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