The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

Editorial Office

References

1 
An, K. G., Lee, J. Y., Bae, D. Y., Kim, J. H., Hwang, S. J., Won, D. H., Lee, J. K., and Kim, C. S. (2006). Ecological assessments of aquatic environment using multi-metric model in major nationwide stream watersheds, Journal of Korean Society on Water Environment, 22(5), 796-804. [Korean Literature]URL
2 
Anusha, P. V., Anuradha, C., Murty, P. C., and Kiran, C. S. (2019). Detecting outliers in high dimensional data sets using Z-score methodology, International Journal of Innovative Technology and Exploring Engineering, 9(1), 48-53. https://doi.org/10.35940/ijitee.A3910.119119DOI
3 
Blackman, N. J. M. and Koval., J. J. (2000). Interval estimation for Cohen’s kappa as a measure of agreement, Statistics in medicine, 19(5), 723-741. https://doi.org/10.1002/(sici)1097-0258(20000315)19:5<723::aid-sim379>3.0.co;2-aDOI
4 
Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J. (1984). Classification and tree regression, Monterey, California: Wadsworth and Brooks/Cole.URL
5 
Ciutti, F., Cappelletti, C., Monauni, C., and Siligardi, M. (2004). Influence of substrate composition and current velocity on macroinvertebrates in a semi-artificial system, Journal of Freshwater Ecology, 19(3), 455-460.DOI
6 
De Maesschalck, R., Jouan-Rimbaud, D., and Massart, D. L. (2000). The mahalanobis distance, Chemometrics and Intelligent Laboratory Systems, 50(1), 1-18. https://doi.org/10.1016/S0169-7439(99)00047-7DOI
7 
De’Ath, G. (2002). Multivariate regression trees: A new technique for modeling species–environment relationships, Ecology, 83(4), 1105-1117. https://doi.org/10.2307/3071917DOI
8 
Diebold, F. X. and Mariano, R. S. (2002). Comparing predictive accuracy, Journal of Business & Economic Statistics, 20(1), 134-144. https://doi.org/10.1198/073500102753410444DOI
9 
Duarte, J., Vieira, L. W., Marques, A. D., Schneider, P. S., Pumi, G., and Prass, T. S. (2021). Increasing power plant efficiency with clustering methods and variable importance index assessment, Energy and AI, 5, 100084. https://doi.org/10.1016/j.egyai.2021.100084DOI
10 
Go, B., Shin, J., and Cha, Y. (2021). Development of benthic macroinvertebrate species distribution models using the Bayesian optimization, Journal of Korean Society of Water and Wastewater, 35(4), 259-275. https://doi.org/10.11001/jksww.2021.35.4.259DOI
11 
Han, H., Guo, X., and Yu, H. (2016). Variable selection using mean decrease accuracy and mean decrease gini based on random forest, 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 219-224. https://doi.org/10.1109/ICSESS.2016.7883053DOI
12 
Han, J. H., Han, B. H., and Kwak, J. I. (2024). A study on changes in habitat enviroment of wild birds in urban rivers according to climate change - A case study of Tancheon ecological and landscape conservation area, Journal of the Korean Institute of Landscape Architecture, 52(2), 79-95. [Korean Literature] https://doi.org/10.9715/KILA.2024.52.2.079DOI
13 
Jeon, D. Y., Lee, S. L., Son, J. W., Cha, Y. U., Kwon, K. W., and Yoo, P. J. (2010). Aquatic ecosystem health assessment in middle reach of Suyoung River using characteristics of benthic macroinvertebrate and fish fauna, Journal of Korean Society on Water Environment, 26(6), 934-942. [Korean Literature]URL
14 
Ji, U., Hwang, M. H., Im, G. S., and Gang, S. U. (2012). Analysis of watershed characteristics and land use in the four major rivers basin using GIS, Water for future, 45(10), 26-33. [Korean Literature]URL
15 
Kim, J. J. and Joo, H. S. (2017). Fish fauna and the health assessment of independent streams flowing into the Yellow Sea in Korea: A case of the Jeonnam and Jeonbuk Provinces, Korean Journal of Environmental Biology, 35(4), 533-544. [Korean Literature] https://doi.org/10.11626/KJEB.2017.35.4.533DOI
16 
Kong, D. and Kim, A. R. (2015). Analysis on the relationship between biological indices and survey area of benthic macroinvertebrates using mathematical model, Journal of Korean Society on Water Environment, 31(6), 610-618. [Korean Literature] https://doi.org/10.15681/KSWE.2015.31.6.610DOI
17 
Kong, D. S., Ryu, J. K., and Yoon, I. B. (1999). Assessment and restoration of aquatic environment using benthosbiomonitoring, biomanipulation, ecotechnology, Proceedings of Symposium on Environmental Changes and Insect Resources, Korean Entomological Institute, Korea University, 69-92. [Korean Literature]URL
18 
Kong, D., Son, S. H., Hwang, S. J., Won, D. H., Kim, M. C., Park, J. H., Jeon, T. S., Lee, J. E., Kim., J. H., Kim, J. S., Pakr, J., Kwak, I. S., Jun, Y. C., Park, Y. S., Ham, S. A., Lee, J. Y., Park, H. K., Park, S. J., Kwon, Y., Kim, P., and Kim, A. R. (2018). Development of benthic macroinvertebrates index (BMI) for biological assessment on stream environment, Journal of Korean Society on Water Environment, 34(2), 183-201. [Korean Literature] https://doi.org/10.15681/KSWE.2018.34.2.183DOI
19 
Korea Meteorological Administration (KMA). (2021). Climatological normals of Korea, Korea Meteorological Administration. [Korean Literature]URL
20 
Larsen, D. R. and Speckman, P. L. (2004). Multivariate regression trees for analysis of abundance data, Biometrics, 60(2), 543-549. https://doi.org/10.1111/j.0006-341X.2004.00202.xDOI
21 
Liaw, A. and Wiener, M. (2002). Classification and regression by random forest, R news, 2(3), 18-22.URL
22 
National Institute of Environmental Research (NIER). (2012). Guidelines on the current status survey of aquatic ecosystems and methods of evaluation of health, etc - River Part -, National Institute of Environmental Research. [Korean Literature]URL
23 
National Institute of Environmental Research (NIER). (2019). Guidelines on the current status survey of aquatic ecosystem and methods of evaluation of health, etc - River Part -, No. 2019-52, National Institute of Environmental Research. [Korean Literature]URL
24 
National Institute of Environmental Research (NIER). (2021). Stream/river ecosystem survey and health assessment, NIER-SP2021-123, National Institute of Environmental Research. [Korean Literature]URL
25 
Palmer, M. A., Reidy Liermann, C. A., Nilsson, C., Flörke, M., Alcamo, J., Lake, P. S., and Bond, N. (2008). Climate change and the world’s river basins: anticipating management options, Frontiers in Ecology and the Environment, 6(2), 81-89. https://doi.org/10.1890/060148DOI
26 
Park, C. U. and Kim, H. J. (2015). Measurement of inter-rater reliability in systematic review, Hanyang Medical Reviews, 35(1), 44-49. [Korean Literature] https://doi.org/10.7599/hmr.2015.35.1.44DOI
27 
Pennak, R. W. (1989). Fresh-water invertebrates of the United States. 3rd ed., Wiley, New York, 628.URL
28 
Segal, M. R. (1992). Tree-structured methods for longitudinal data, Journal of the American Statistical Association, 87(418), 407-418. https://doi.org/10.2307/2290271DOI
29 
Svetnik, V., Liaw, A., Tong, C., Culberson, J. C., Sheridan, R. P., and Feuston, B. P. (2003). Random forest: A classification and regression tool for compound classification and QSAR modeling, Journal of chemical information and computer sciences, 43(6), 1947-1958. https://doi.org/10.1021/ci034160gDOI
30 
Won, D. H., Jun, Y. C., Kwon, S. J., Hwang, S. J., Ahn, K. G., and Lee, J. K. (2006). Development of Konan Saprobic Index using benthic macroinvertebrates and its application to biological stream environment assessment, Journal of Korean Society on Water Environment, 22(5), 768-783. [Korean Literature]URL
31 
Yoon, I. B., Kong, D., and Ryu, J. K. (1992a). Studies on the biological evaluation of water quality by benthic macroinvertebrates (2) Effects of environmental factors to community, Korean Society of Environmental Biology, 10(1), 40-55. [Korean Literature]URL
32 
Yoon, I. B., Kong, D., and Ryu, J. K. (1992b). Studies on the biological evaluation of water quality by benthic macroinvertebrates (3) Macroscopic simple water quality evaluation, Korean Society of Environmental Biology, 10(2), 77-84. [Korean Literature]URL
33 
Yu, N., Shin, M., Seo, J., Park, Y. S., and Kim, J. (2018). A study to define USLE P factor from field survey in the four major watersheds, Journal of The Korean Society of Agricultural Engineers, 60(2), 37-44. [Korean Literature] https://doi.org/10.5389/KSAE.2018.60.6.013DOI
34 
Zhang, H. (1998). Classification trees for multiple binary responses, Journal of the American Statistical Association 93, 180-193. https://doi.org/10.2307/2669615DOI