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Development of Habitat-riparian Quality Indexing System as a Tool of Stream Health Assessment: Case Study in the Nakdong River Basin 원문보기

한국하천호수학회지= Korean journal of limnology, v.41 no.4, 2008년, pp.499 - 511  

Jeong, Kwang-Seuk (Department of Biology, Pusan National University) ,  Joo, Gea-Jae (Department of Biology, Pusan National University) ,  Kim, Dong-Kyun (School of Computer Science & Engineering, Seoul National University) ,  Lineman, Maurice (Department of Biology, Pusan National University) ,  Kim, Sang-Hyeon (Department of Environmental Engineering, Pusan National University) ,  Jang, Il (Department of Environmental Engineering, Pusan National University) ,  Hwang, Soon-Jin (Department of Environmental Science, Konkuk University) ,  Kim, Jin-Hong (College of Construction Engineering, Chungang University) ,  Lee, Jae-Kwan (Environmental Diagnostics Research Department, National Institute of Environmental Research) ,  Byeon, Myeong-Seop (Environmental Diagnostics Research Department, National Institute of Environmental Research)

Abstract ▼ AI-Helper 아이콘AI-Helper

The major focus of this study is to evaluate a newly developed stream naturalness index system 'Habitat-riparian Indexing System (HIS).' There have been many studies that have assessed stream naturalness in order to provide information required for restoration. The results of these studies were enou...

주제어

#Stream health evaluation   #Stream Naturalness Index   #Habitat-riparian Indexing System   #method stability test   #the Nakdong River basin   #stream/river environment  

참고문헌 (17)

  1. Ahn, T.J. 2007. The evaluation of small scaled stream naturalness for stream channel restoration. J. Kor. Water Res. Assoc. 40: 359-369 

    원문보기 상세보기 crossref

  2. Cho, Y.H. 1997. A study on evaluation method of stream naturalness for ecological restoration of stream corridors. J. Kor. Inst. Landsc. Arch. 25: 2073-2081 

  3. Jeong, K.S., D.K. Kim and G.J. Joo. 2006. River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system. Ecol. Inform. 1: 235-245 

    상세보기 crossref

  4. Jeong, K.S., D.K. Kim, J.M. Jung, M.C. Kim and G.J. Joo. 2008. Non-linear autoregressive modelling by Temporal Recurrent Neural Networks for the prediction of freshwater phytoplankton dynamics. Ecol. Modelling 211: 292-300 

    상세보기 crossref

  5. Joo, G.J. and K.S. Jeong. 2005. Modelling community changes of cyanobacteria in a flow regulated river (the lower Nakdong River, S. Korea) by means of a Self-Organizing Map (SOM). In: S. Lek, M. Scardi, P.F.M. Verdonschot, J.P. Descy and Y.S. Park (Editor), Modelling Community Structure in Freshwater Ecosystems. Springer, Berlin, pp. 273-287 

  6. Kim, D.C., Y.S. Yoon and I.S. Park. 2003. An evaluation of stream naturalness for close-to-nature stream restoration in case of Hakui Stream. J. Kor. Soc. Ind. Appl. 6: 315-324 

  7. Kim, D.K., H. Cao, K.S. Jeong, F. Recknagel and G.J. Joo, 2007. Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms. Ecol. Modelling 203: 147-156 

    상세보기 crossref

  8. Lee, C.S. and J.U. Kim. 1999. A study on the distribution of underground plant biomass and its effect on the stream bank stability. J. Kor. Soc. Rural Plan. 5: 95-103 

  9. Ministry of Environment. 2007. Survey and Evaluation of Aquatic Ecosystem Health in the Nakdong River, National Institute of Environmental Research, Seoul 

  10. Moss, B. 1998. Ecology of Fresh Water: Man and Medium, Past to Future. Blackwell Science Ltd., Malden 

  11. National Rivers Authority, 1992. River Corridors Survey- Methods and Procedures, London 

  12. Park, B.J., Y.D. Sung and K.S. Jung, 2006. A correlation analysis of the river naturalness and water quality for biological habitat evaluation. J. Kor. Water Res. Assoc. 39: 637-644 

    원문보기 상세보기 crossref

  13. Park, B.J., Y.D. Sung and T.H. Kang, 2003a. Suggestion of stream naturalness evalutation method considering Korean stream environment characteristics. Mag. Kor. Water Res. Assoc. 36: 92-103 

  14. Park, Y.S., T.S. Chon, I.S. Kwak and S. Lek. 2004. Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. Sci. Total Environ. 327: 15-122 

  15. Park, Y.S., M.Y. Song, Y.C. Park, K.H. Oh, E. Cho and T.S. Chon, 2007. Community patterns of benthic macroinvertebrates collected on the national scale in Korea. Ecol. Modelling 203: 26-33 

    상세보기 crossref

  16. Park, Y.S., P.F.M. Verdonschot, T.S. Chon. and S. Lek. 2003b. Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network. Wat. Res. 37: 1749-1758 

    상세보기 crossref

  17. Zar, J.H. 2001. Biostatistical Analysis. Prentice Hall, NJ 

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