Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map

Environmental Modelling and Software

Volumn 55, Issue , 2014, Pages 214-221

  Park, Young Seuk ^a   Kwon, Yong Su ^a   Hwang, Soon Jin ^b   Park, Sangkyu ^c  

^a Kyung Hee University   (South Korea)

^b Konkuk University   (South Korea)

^c Ajou University   (South Korea)

Author keywords

Agricultural reservoir; Land cover types; Reservoir classification; Reservoir morphometry; Reservoir water quality; Self organizing map (SOM); Theoretical path model

Indexed keywords

EID: 84894380983     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.01.031     Document Type: Article

References (71)

1. Ahearn D.S., Sheibleya R.W., Dahlgrena R.A., Andersonb M., Johnsonc J., Tated K.W. Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. J.Hydrol. 2005, 313(3-4):234-247.
2. Ahn C.-Y., Oh H.-M., Park Y.-S. Evaluation of environmental factors on cyanobacterial bloom in eutrophic reservoir using artificial neural networks. J.Phycol. 2011, 47:495-504.
3. Bae M.-J., Li F., Verdonschot P.F.M., Park Y.-S. Characterization of ecological exergy based on benthic macroinvertebrates in lotic ecosystems. Entropy 2013, 15:2319-2339.
4. Bennett N.D., Croke B.F.W., Guariso G., Guillaume J.H.A., Hamilton S.H., Jakeman A.J., Marsili-Libelli S., Newham L.T.H., Norton J.P., Perrin C., Pierce S.A., Robson B., Seppelt R., Voinov A.A., Fath B.D., Andreassian V. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20.
5. Bremigan M.T., Soranno P.A., González M.J., Bunnell D.B., Arend K.K., Renwick W.H., Stein R.A., Vanni M.J. Hydrogeomorphic features mediate the effects of land use/cover on reservoir productivity and food webs. Limnol. Oceanogr. 2008, 54:1420-1433.
6. Cadenasso M.L., Pickett S.T.A. Linking forest edge structure to edge function: mediation of herbivore damage. J.Ecol. 2000, 88:31-44.
7. Carlson R.E., Simpson J. ACoordinator's Guide to Volunteer Lake Monitoring Methods 1996, 96. North American Lake Management Society.
8. Carlson R.E. Atrophic status index for lakes. Limnol. Oceanogr. 1977, 22:361-369.
9. Cathrine A., Mouillot D., Escoffier N., Bernard C., Troussellier M. Cost effective prediction of the eutrophication status of lakes and reservoirs. Freshw. Biol. 2010, 55:2425-2435.
10. Cheruvelil K.S., Soranno P.A., Bremigan M.T., Wagner T., Martin S.L. Grouping lakes for water quality assessment and monitoring: the roles of regionalization and spatial scale. Environ. Manag. 2008, 41:425-440.
11. Chon T.-S. Self-organizing maps applied to ecological sciences. Ecol. Inform. 2011, 6:50-61.
12. Chon T.-S., Park Y.-S., Moon K.-H., Cha E.-Y. Patternizing communities by using an artificial neural network. Ecol. Model. 1996, 90:69-78.
13. Cross T.K., Jacobson P.C. Landscape factors influencing lake phosphorus concentrations across Minnesota. Lake Reserv. Manag. 2013, 29:1-12.
14. D'Arcy P., Carignan R. Influence of catchment topography on water chemistry in southeastern Québec Shield lakes. Can. J. Fish. Aquat. Sci. 1997, 54:2215-2227.
15. Donovan R. Path analysis of a theoretical model of persistence in higher education among low-income black youth. Res. High. Educ. 1984, 21:243-252.
16. Edmondson W.T. Sixty years of Lake Washington: a curriculum vitae. Lake Reserv. Manag. 1961, 10:75-84.
17. Fergus C.E., Soranno P.A., Cheruvelil K.S., Bremigan M.T. Multiscale landscape and wetland drivers of lake total phosphorus and water color. Limnol. Oceanogr. 2011, 5696:2127-2146.
18. Foody G.M. Applications of the self-organizing feature map neural network in community data analysis. Ecol. Model. 1999, 120:97-107.
19. Friedel M.J. Data-driven modeling of surface temperature anomaly and solar activity trends. Environ. Model. Softw. 2012, 37:217-232.
20. Frink C.R. Estimating nutrient exports to estuaries. J.Environ. Qual. 1991, 20:717-724.
21. Gevrey M., Rimet F., Park Y.-S., Giraudel J.L., Ector L., Lek S. Water quality assessment using diatom assemblages and advanced modelling techniques. Freshw. Biol. 2004, 49:208-220.
22. Giraudel J.L., Lek S. Acomparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination. Ecol. Model. 2001, 146(1-3):329-339.
23. Griebeler E.M., Seitz A. The use of Markovian metapopulation models: reducing the dimensionality of transition matrices by self-organizing Kohonen networks. Ecol. Model. 2006, 192:271-285.
24. Håkanson L. The importance of lake morphometry for the structure and function of lakes. Int. Rev. Hydrobiol. 2005, 90(4):433-461.
25. Hwang S.J., Kwun S.K., Yoon C.G. Water quality and limnology of Korean reservoirs. Paddy Water Environ. 2003, 1:43-52.
26. Hwang S.-J., Lee S.-W., Son H.-Y., Park G.-A., Kim S.-J. Moderating effects of the geometry of reservoirs on the relation between urban land use and water quality. Landsc. Urban Plan. 2007, 82:175-183.
27. Hyun K., Song M.-Y., Kim S., Chon T.-S. Using an artificial neural network to patternize long-term fisheries data from South Korea. Aquat. Sci. 2005, 67(3):382-389.
28. Icaga Y. Fuzzy evaluation of water quality classification. Ecol. Indic. 2007, 7(3):710-718.
29. Jones J.R., Knowlton M.F., Obrecht D.V., Cook E.A. Importance of landscape variables and morphology on nutrients in Missouri reservoirs. Can. J. Fish. Aquat. Sci. 2004, 61:1503-1512.
30. Jung H.-S., Lim G.-H., Oh J.-H. Interpretation of the transient variations in the time series of precipitation amounts in Seoul, Korea. Part I: diurnal variation. J.Clim. 2001, 14:2989-3004.
31. Kalff J. Limnology 2001, Prentice Hall, Englewood Cliffs.
32. Kalteh A.M., Hjorth P., Berndtsson R. Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application. Environ. Model. Softw. 2008, 23:835-845.
33. Kangur K., Park Y.-S., Kangur A., Kangur P., Lek S. Patterning long-term changes of fish community in large shallow Lake Peipsi. Ecol. Model. 2007, 203:34-44.
34. KARICO Technical Report (I): the Survey of Pollution Sources of Water for the Agricultural Use 2000, (in Korean), Korean Agricultural and Rural Infrastructure Cooperation, Ansan, Korea.
35. Kim B.C., Park J.H., Hwang G.S., Jun M.S., Choi K.S. Eutrophication of reservoirs in South Korea. Jpn. Soc. Limnol. 2001, 2:223-229.
36. Kim H.-S., Hwang S.-J., Shin J.-K., An K.-G., Yoon C.-G. Effects of limiting nutrients and N:P ratios on the phytoplankton growth in a shallow hypertrophic reservoir. Hydrobiologia 2007, 581:255-267.
37. Kiviluoto K. Topology preservation in self-organizing maps. Pro. ICNN'96, IEE Int. Conf. On Neural Networks 1996, 294-299. IEEE Service Center, Piscataway.
38. Knoll L.B., Vanni M.J., Renwick W.H. Phytoplankton primary production and photosynthetic parameters in reservoirs along a gradient of watershed land use. Limnol. Oceanogr. 2003, 48:608-617.
39. Kohonen T. Self-organizing Maps 2001, Springer, Berlin.
40. Kratzer C.R., Brezonik P.L. ACarlson-type trophic state index for nitrogen in Florida lakes. Water Resour. Bull. 1981, 17:713-715.
41. Kwon Y.-S., Li F., Chung N., Bae M.-J., Hwang S.-J., Byoen M.-S., Park S.-J., Park Y.-S. Response of fish communities to various environmental variables across multiple spatial scales. Int. J. Environ. Res. Public Health 2012, 9:3629-3653.
42. Lee B.-H., Scholz M. Application of the self-organizing map (SOM) to assess the heavy metal removal performance in experimental constructed wetlands. Water Res. 2006, 40:3367-3374.
43. Lee S.-W., Hwang S.-J., Lee S.-B., Hwang H.-S., Sung H.-C. Landscape ecological approach to the relationships of land use patterns in watersheds to water quality characteristics. Landsc. Urban Plan. 2009, 92:80-89.
44. Li F., Chung N., Bae M.-J., Kwon Y.-S., Park Y.-S. Relationships between stream macroinvertebrates and environmental variables at multiple spatial scales. Freshw. Biol. 2012, 57:2107-2124.
45. Liukkonen M., Laakso I., Hiltunen Y. Advanced monitoring platform for industrial wastewater treatment: multivariable approach using the self-organizing map. Environ. Model. Softw. 2013, 48:193-201.
46. Lu R.S., Lo S.L. Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Res. 2002, 36(9):2265-2274.
47. Lu R.S., Lo S.L., Hu J.Y. Analysis of reservoir water quality using fuzzy synthetic evaluation. Stoch. Environ. Res. Risk Assess. 1999, 13(5):327-336.
48. Martin S.L., Soranno P.A., Bremigan M.T., Cheruvelil K.S. Comparing hydrogeomorphic approaches to lake classification. Environ. Manag. 2011, 48(5):957-974.
49. Ministry of Environment, Korea Water Environment Management Master Plan 2006, Ministry of Environment, Gwacheon, Korea.
50. Ministry of Environment, Korea Standard Methods for Water and Wastewater 2011, Ministry of Environment, Gwacheon, Korea.
51. Navarro E., Caputo L., Marcé R., Carol J., Benejam L., García-Berthou E., Armengol J. Ecological classification of a set of Mediterranean reservoirs applying the EU Water Framework Directive: a reasonable compromise between science and management. Lake Reserv. Manag. 2009, 25:364-376.
52. Nikoo M.R., Mahjouri N. Water quality zoning using probabilistic support vector machines and self-organizing maps. Water Resour. Manag. 2013, 27:2577-2594.
53. OECD Eutrophication of Water: Monitoring, Assessment and Control 1982, Organisation for Economic Cooperation and Development (OECD), Paris.
54. Park Y.-S., Céréghino R., Compin A., Lek S. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters. Ecol. Model. 2003, 160:165-280.
55. Park Y.-S., Chung Y.-J. Hazard rating of pine trees from a forest insect pest using artificial neural networks. For. Ecol. Manag. 2006, 222(1-3):222-233.
56. Park Y.-S., Chung Y.-J., Moon Y.-S. Hazard ratings of pine forests to a pine wilt disease at two spatial scales (individual trees and stands) using self-organizing map and random forest. Ecol. Inform. 2013, 13:40-46.
57. Park Y.-S., Tison J., Lek S., Coste M., Giraudel J., Delmas F. Application of a self-organizing map in ecological informatics: selection of representative species from large community dataset. Ecol. Inform. 2006, 1(3):247-257.
58. Rasmussen J.B., Godbout L., Schallenberg M. The humic content of lake water and its relationship to watershed and lake morphometry. Limnol. Oceanogr. 1989, 34(7):1336-1343.
59. Samarasinghe S., Strickert G. Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation. Environ. Model. Softw. 2013, 39:188-200.
60. Simeonova P., Lovchinov V., Dimitrov D., Radulov I. Environmetric approaches for lake pollution assessment. Environ. Monit. Assess. 2010, 164:233-248.
61. Søndergaard M., Jeppesen E., Jensen J.P., Amsinck S.L. Water Framework Directive: ecological classification of Danish lakes. J.Appl. Ecol. 2005, 42:616-629.
62. Strebel K., Espinosa G., Giralt F., Kindler A., Rallo R., Richter M., Schlink U. Modeling airborne benzene in space and time with self-organizing maps and Bayesian techniques. Environ. Model. Softw. 2013, 41:151-162.
63. Tison J., Park Y.-S., Coste M., Delmas F., Giraudel J.L. Use of unsupervised neural networks for eco-regional zonation of hydrosystems through diatom communities: case study of Adour-Garonne watershed (France). Arch. Hydrobiol. 2004, 159:409-422.
64. Vesanto J., Alhoniemi R. Clustering of the self-organizing map. IEEE Trans. Neural Netw. 2000, 11:586-600.
65. Voyslavov T., Tsakovski S., Simeonov V. Surface water quality assessment using self-organizing maps and Hasse diagram technique. Chemom. Intell. Lab. Syst. 2012, 118:280-286.
66. Voyslavov T., Tsakovski S., Simeonov V. Hasse diagram technique as a tool for water quality assessment. Anal. Chim. Acta 2013, 770:29-35.
67. White M.D., Greer K.A. The effects of watershed urbanization on the stream hydrology and riparian vegetation of Los Peñasquitos Creek, California. Landsc. Urban Plan. 2006, 74:125-138.
68. Winter T.C. The concept of hydrologic landscapes. J.Am. Water Resour. Assoc. 2001, 37:335-349.
69. Wolock D.M., Winter T.C., McMahon G. Delineation and evaluation of hydrologic-landscape regions in the United States using geographic information system tools and multivariate statistical analyses. Environ. Manag. 2004, 34(S1):S71-S88.
70. Zampella R.A., Procopio N.A., Lathrop R.G., Dow C.L. Relationship of land-use/land-cover patterns and surface-water quality in the Mullica River basin. J.Am. Water Resour. Assoc. 2007, 43(3):594-604.
71. Zhang L., Scholz M., Mustafa A., Harrington R. Assessment of the nutrient removal performance in integrated constructed wetlands with the self-organizing map. Water Res. 2008, 42:3519-3527.