Browse > Article
http://dx.doi.org/10.17663/JWR.2013.15.2.271

Impact of Climate Change on Habitat of the Rhynchocypris Kumgangensis in Pyungchang River  

Kim, Soojun (Columbia Water Center, Columbia University)
Noh, Hui Seong (Department of Civil Engineering, Inha university)
Hong, Seung Jin (Department of Civil Engineering, Inha university)
Kwak, Jae Won (Department of Civil Engineering, Inha university)
Kim, Hung Soo (Department of Civil Engineering, Inha university)
Publication Information
Journal of Wetlands Research / v.15, no.2, 2013 , pp. 271-280 More about this Journal
Abstract
This study tried to analyze the impact of climate change on ecological habitat. In this regard, the Rhynchocypris Kumgangensis was selected among the CBIS(Climate-sensitive Biologocal Indicator Species) suggested by the Ministry of Environment. And ecological habitat and restrictive conditions for its survival was surveyed. Future runoff and water quality in the upstream of Pyungchang river were simulated by appling climate change scenarios to SWAT model which is able to simulate water quality. The estimated results explained characteristics on the increase of runoff, BOD, and water temperature and the decrease of DO in the future. The restrictive condition on ecological habitat of the Rhynchocypris Kumgangensis was used water quality during the April to May spawning season since BOD and DO were satisfactory as the first grade of water criteria in the estimated result of future water quality. As a result, it was analyzed that habitat of the Rhynchocypris Kumgangensis in the present was possible about 50~60% of the river. But the habitat would be decreased gradually in the future and would be possible in a very small part of the river in the long term.
Keywords
Climate Change; Habitat; Rhynchocypris Kumgangensis; Soil and Water Assessment Tool;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Andersson L., Wilk J., Todd M.C., Hughes D.A., Earle A., Kniveton D., Layberry R., and Savenije H.G. (2006). Impact of climate change and development scenarios on flow patterns in the Okavango River. Journal of Hydrology. 331, pp. 43-57.   DOI   ScienceOn
2 Baek H.M. (2002). Prey selectivity and habitat segregation of R. kumgangensis and P. phoxinus at the Dongdae stream, Kangwon national university, Master's thesis.
3 Bishop, C. (2000). Neural Networks for Pattern Recognition, Clarendon Press, UK.
4 Haupt S., Pasini A., and Marzban C. (2009). Artificial Intelligence Methods in the Environmental Sciences, Springer.
5 Hsieh W., (2009). Machine learning methods in the environmental sciences, Cambridge University Press, Cambridge, UK.
6 IPCC (2007). Climate Change 2007, the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change.
7 Jha M., Arnold J.G., Gassman P.W., and Gu R. (2004). Climate change sensitivity assessment on upper Mississippi river basin streamflows using SWAT. Working Paper 04-WP 353, Center for Agricultural and Rural Development Iowa State University.
8 Jha M., Pan Z., Takle E.S., and Gu R. (2003). The impacts of climate change on stream flow in the upper Mississippi river basin: A regional climate model perspective. Journal of Geophysical Research,
9 Kang N.R., Kim S.J., Lee K.H., Kim D.G., Kwak J.W., Noh H.S., and Kim H.S., (2011). Impact of Climate Change on An Urban Drainage System, Journal of Korean Wetlands Society, 13(2), pp. 623-631.
10 Kim B.S., Kim H.S., Seoh B.H., and Kim N.W. (2007). Impact of climate change on water resources in Yongdam Dam Basin, Korea, Stochastic Environmental Research and Risk Assessment, 21(4), pp. 355-373.   DOI   ScienceOn
11 Kim N.W. and Kim J.T. (2010). Modification of stream water temperature calculation equation of SWAT for the Han rive Korea using regression analysis, 2010 International SWAT Congerence.
12 Kim, S.J., Kim, B.S., Jun, H.D., and Kim, H.S. (2010). The evaluation of climate change impacts on the water scarcity of the Han river basin in south Korea using high resolution RCM data, Journal of Korea Water Resources Association, 43(3), pp. 295-308.   DOI   ScienceOn
13 Korea Water Resources Corporation (1995). Development of a Method for Determining the Instream Flow and Its Application, IPD-95-2.
14 Kwon Y.A., Kwon W.T., Boo K.O., and Choi Y.E. (2007). Future Projections on Subtropical Climate Regions over South Korea Using SRES A1B Data, The Korean Geographical Society, 42(3), pp. 355-367.
15 Kyoung M.S. (2010). Assessment of Climate Change Effect on Standardized Precipitation Index and Frequency- Based Precipitation, Doctoral Dissertation, Inha University.
16 Kyoung M.S. , Kim H.S., Sivakumar B., Singh, V.P., and Ahn T.J. (2011). Dynamic characteristics of monthly rainfall in the Korean Peninsular under climate change, Stochastic Environmental Research and Risk Assessment, 25(4), pp. 613-625.   DOI
17 Lee J.H., Jeong S.M. Lee M.H. and Lee Y.S. (2006). Estimation of Instream Flow for Fish Habitat using Instream Flow Incremental Methodology(IFIM) for Major Tributaries in Han River Basin, Journal of Korean Society of Civil Engineers, 26(2B), pp. 153-160.
18 Ministry of environment and National institute of biological resources (2010). Climate-sensitive Biological Indicator Species.
19 Park B.J., Kang K.H. and Jung K.S. (2008). Hydrologic Regime Alteration Analysis of the Multi-Purpose Dam by Indicators of Hydrologic Alterations, Journal of Korea Water Resources Association, 41(7), pp. 711-723.   DOI   ScienceOn
20 Mishra V., Keith A. Cherkauer, Dev Niyogi, Ming Lei, Bryan C. Pijanowski, Deepak K. Ray, Laura C. Bowling, and Guoxiang Yang (2010). A regional scale assessment of land use/land cover and climatic changes on water and energy cycle in the upper Midwest United States, International Journal of Climatology, 30(13), pp. 2025-2044.   DOI   ScienceOn
21 Park G.A., Ahn S.R., Park M.J. and Kim S.J. (2010). Assessment of the Contribution of Weather, Vegetation and Land Use Change for Agricultural Reservoir and Stream Watershed using the SLURP model (II)? Calibration, Validation and Application of the Model, Journal of Korean Society of Civil Engineers, 30(2B), pp. 121-135.
22 Park S., Kim J. and Ko I.H. (2009). Evaluation of Eco-Hydrological Changes in the Geum River Considering Dam Operations : II. Hydraulic Fish Habitat Condition Analysis, Journal of Korea Water Resources Association, 42(5), pp. 407-414.   DOI   ScienceOn
23 Picton P. (2000). Neural Networks, 2nd Edn., Palgrave, Basingstoke, UK.
24 Purkey D.R., Joyce, B., Vicuna, S., Hanemann, M.W., Dale, L.L., Yates, D., and Dracup, J.A. (2008). Robust analysis of future climate change impacts on water for agriculture and other sectors: a case study in the Sacramento Valley. Climatic Change 87 (Suppl 1) : S109-S122.   DOI
25 Stefan H.G. and E.B. Preud'homme (1993). Stream Temperature Estimation from Air Temperature. Water Resources Bulletin 29(1): 27-45.   DOI
26 Sung Y.D., Park B.J., Joo K.J. and Jung K.S. (2005). The Estimation of Ecological Flow Recommendations for Fish Habitat, Journal of Korea Water Resources Association, 38(7), pp. 545-554.   DOI   ScienceOn
27 Woo H., Lee J.W. and Kim K.H. (1998). Development of a Method for Determination of Instream Flow Needs Required for Fish Habitat Conservation - Application to the Keum River -, Journal of Korean Society of Civil Engineers, 18(II-4), pp. 339-350.