Analysis of stream water quality and estimation of nutrient load with the aid of Quick Bird remote sensing imagery |
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| Authors: | Bin He Kazuo Oki Yi Wang Taikan Oki Yosuke Yamashiki Kaoru Takara |
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| Affiliation: | 1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences , Nanjing , China;2. Disaster Prevention Research Institute (DPRI), Kyoto University , Kyoto , Japan E-mail: hebin@flood.dpri.kyoto-u.ac.jp hebin@flood.dpri.kyoto-u.ac.jp;4. Institute of Industrial Science, the University of Tokyo , Tokyo , Japan;5. Institute for Sustainability and Peace, United Nations University , Tokyo , Japan;6. Disaster Prevention Research Institute (DPRI), Kyoto University , Kyoto , Japan E-mail: hebin@flood.dpri.kyoto-u.ac.jp |
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| Abstract: | Abstract Human activities have created high nutrient surpluses in agricultural lands due to the increasing rate of chemical fertilizer application and the increase in livestock production. To analyse the nutrient characteristics and estimate the nutrient load in streams, we conducted extensive field survey and water quality experiments from 2007 to 2008 in Koise River, a major river of the Lake Kasumigaura watershed, Japan. Water quality indicators of total nitrogen (TN), total phosphorus (TP) and total organic carbon (TOC) were investigated. The nutrient loads of TN, TP and TOC, as well as dissolved total nitrogen, dissolved inorganic nitrogen, dissolved organic nitrogen, particle organic nitrogen, dissolved total phosphorus, dissolved organic carbon and particle organic carbon were also estimated for the Koise River. Seasonal variation of the nutrient concentration from 2007 to 2008 was analysed considering the river discharge variation and agricultural activities. The results showed that the irrigation water from Lake Kasumigaura has the potential ability to decrease the TN concentration and increase the TOC concentration in the Koise River. Significant correlation coefficients between nutrient load and river discharge were found. The monthly pollution loads from different sources were then evaluated based on land cover classification generated from high-resolution Quick Bird remote sensing imagery. This study presents a useful interpretation of water quality data sets with a view to obtaining better information about water quality for more effective management of water resources in river basins. Editor Z.W. Kundzewicz Citation He, B., Oki, K., Wang, Y., Oki, T., Yamashiki, Y., Takara, K., Miura, S., Imai, A., Komatsu, K. and Kawasaki, N., 2012. Analysis of stream water quality and estimation of nutrient load with the aid of Quick Bird remote sensing imagery. Hydrological Sciences Journal, 57 (5), 850–860. |
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| Keywords: | nutrient load water quality remote sensing Lake Kasumigaura Koise River Japan |
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