Water quality characteristics of forest rivers around Lake Biwa

Water quality characteristics of forest rivers around Lake Biwa

Forest river surveys were carried out at upper streams of several rivers in the Lake Biwa watershed to understand the water quality characteristics of the rivers, and to find out their relationships with forest features such as geographical, geological and vegetational data. The results showed: (1)...

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Veröffentlicht in:Water science and technology 2001-01, Vol.43 (5), p.183-192
Hauptverfasser: FUJII, S, SOMIYA, I, NAGARE, H, SERIZAWA, S
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Calcium
Chlorides
Cluster analysis
Continental surface waters
Earth sciences
Earth, ocean, space
Ecosystem
Engineering and environment geology. Geothermics
Environmental Monitoring
Eutrophication
Exact sciences and technology
Forests
Geography
Geological Phenomena
Geology
Hydrology
Hydrology. Hydrogeology
Japan, Biwa L
Lakes
Magnesium
Natural water pollution
Nitrogen - metabolism
Organic Chemicals - metabolism
Organic matter
Plants
Pollution
Pollution, environment geology
Purification
Rivers
Silica
Silicon dioxide
Species
Streams
Surveys
Trees
Water Movements
Water Pollution - analysis
Water purification
Water quality
Water treatment and pollution
Watersheds
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Beschreibung
Zusammenfassung:Forest river surveys were carried out at upper streams of several rivers in the Lake Biwa watershed to understand the water quality characteristics of the rivers, and to find out their relationships with forest features such as geographical, geological and vegetational data. The results showed: (1) Forests have some purification functions for nitrogen and organic matter, but become sources for most of ionic species. (2) Main mineral species in forest rivers are Ca2+, Mg2+ and Na+, HCO3-, CO3(2-), Cl-, SO4(2-) and SiO2. (3) Loading from forests was 0.4-7 kg/km2/d for TN and 0.01-0.3 kg/km2/d for TP. (4) River quality reflects the properties of each forest, and is unique to the place, especially in ionic species such as Ca2+ and Cl-. (5) A cluster analysis successfully categorized ionic components into several groups.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2001.0282