Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application

Computers and Geosciences

Volumn 36, Issue 7, 2010, Pages 936-944

  Lim, Kyoung Jae ^a   Park, Youn Shik ^a   Kim, Jonggun ^a   Shin, Yong Chul ^a   Kim, Nam Won ^b   Kim, Seong Joon ^c   Jeon, Ji Hong ^d   Engel, Bernard A ^e  

^a Kangwon National University   (South Korea)

^b Korea Institute of Civil Engineering and Building Technology   (South Korea)

^c Konkuk University   (South Korea)

^d Andong National University   (South Korea)

^e PURDUE UNIVERSITY   (United States)

Author keywords

Baseflow separation; L THIA; Recession curve analysis; Water quality; WHAT

Indexed keywords

BASEFLOW SEPARATION; BASEFLOW SEPARATION METHOD; BASEFLOWS; COMPUTER MODELS; FILTER PARAMETER; HYDROGEOLOGICAL; HYDROGRAPH ANALYSIS; HYDROLOGIC IMPACTS; LAND-USE CHANGE; LEC; MODEL COMPARISON; MODEL ESTIMATES; NASH-SUTCLIFFE COEFFICIENT; OPTIMIZATION MODULE; POLLUTANT LOADINGS; RECESSION CURVE ANALYSIS; RECESSION CURVES; WATER QUALITY IMPACT; WATER QUALITY MODELING; WEB-GIS;

DIGITAL FILTERS; ELECTRIC CONVERTERS; GENETIC ALGORITHMS; LAND USE; LANDFORMS; LOADING; OPTIMIZATION; RUNOFF; WATER POLLUTION; WATER QUALITY; WATERSHEDS;

QUALITY CONTROL;

BASEFLOW; GENETIC ALGORITHM; GIS; HYDROGEOLOGY; HYDROGRAPHY; HYDROLOGICAL MODELING; LAND USE CHANGE; OPTIMIZATION; RUNOFF; WATER QUALITY; WATERSHED;

INDIANA; LITTLE EAGLE CREEK; UNITED STATES;

HIERAAETUS MORPHNOIDES;

EID: 77953534443     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2010.01.004     Document Type: Article

References (24)

1. Arnold J.G., Allen P.M. Validation of automated methods for estimating baseflow and groundwater recharge from stream flow records. Journal of American Water Resources Association 1999, 35(2):411-424.
2. Arnold J.G., Allen P.M., Muttiah R., Bernhardt G. Automated baseflow separation and recession analysis techniques. Groundwater 1995, 33(6):1010-1018.
3. Bendient P.B., Huber W.C. Hydrology and Floodplain Analysis 2002, Prentice Hall, New Jersey. third ed.
4. Bhaduri B., Minner M., Tatalovich S., Harbor J. Long-term hydrologic impact of urbanization: a tale of two models. Journal of Water Resources Planning and Management 2001, 127:13-19.
5. Bicknell B.R., Imhoff J.C., Kittle J.L., Donigian A.S., Johanson R.C. Hydrological Simulation Program-Fortran, User's Manual for Version 11 1997, US Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, EPA/600/R-97/080, 755 pp.
6. Chapman T.G. Unit hydrograph identification using only streamflow data. Transactions of the Institution of Engineers, Australia 1987, CE29(3):187-191.
7. Chemin Y., Honda K. Spatiotemporal fusion of rice actual evapotranspiration with genetic algorithms and an agrohydrological model. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(11):3462-3469.
8. Chung J.W., Oha S.M., Choi I.C. A hybrid genetic algorithm for train sequencing in the Korean railway. Omega 2009, 37:555-565.
9. Eckhardt K. How to construct recursive digital filters for baseflow separation. Hydrological Processes 2005, 19(2):507-515.
10. Georgieva A., Jordanov I. Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. European Journal of Operational Research 2009, 196:413-422.
11. Harbor J. A practical method for estimating the impact of land use change on surface runoff, groundwater recharge and wetland hydrology. Journal of American Planning Association 1994, 60:91-104.
12. Holland J.H. Adaptation in Natural and Artificial Systems 1975, University of Michigan Press, Ann Arbor, MI, 183 pp.
13. Kollat J.B., Reed P.M. Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design. Advances in Water Resources 2006, 29:792-807.
14. Lim, K.J., Engel, B.A., Kim, Y., Harbor, J., 2001. Development of the long-term hydrologic impact assessment (L-THIA) WWW systems. In: Stott, D.E., Mohtar, R.H., Steinhardt, G.C. (Eds.), Sustaining the Global Farm-Selected papers from the 10th International Soil Conservation Organization Meeting, West Lafayette, IN, International Soil Conservation Organization in Cooperation with the USDA and Purdue University, West Lafayette, IN, pp. 1018-1023.
15. Lim K.J., Engel B.A., Tang Z., Choi J., Kim K., Muthukrishnan S., Tripathy D. Automated web GIS-based hydrograph analysis tool, WHAT. Journal of the American Water Recourse Association 2005, 41(6):1407-1416.
16. Lim K.J., Engel B.A., Tang Z., Muthukrishnan S., Choi J., Kim K. Effects of calibration on L-THIA GIS runoff and pollutant estimation. Journal of Environmental Management 2006, 78(1):35-43.
17. Lyne Y.D., Hollick M. Stochastic time-variable rainfall-runoff modeling. Proceedings Hydrology and Water Resources Symposium 1979, Institution of Engineers Australia, Perth, Australia, pp. 89-92.
18. Matta M.E. A genetic algorithm for the proportionate multiprocessor open shop. Computers & Operation Research 2009, 36:2601-2618.
19. Nathan R.J., McMahon T.A. Evaluation of automated techniques for baseflow and recession analysis. Water Resources Research 1990, 26(7):1465-1473.
20. Pandey S., Gunn R., Lim K.J., Engel B.A., Harbor J. Developing a web-enabled tool to assess long-term hydrologic impact of land use change: information technologies issues and a case study. Urban and Regional Information Systems Journal 2000, 12(4):5-17.
21. Santhi C., Arnold J.G., Williams J.R., Dugas W.A., Srinivasan R., Hauck L.M. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association 2001, 37(5):1169-1188.
22. Sloto, R.A., Crouse, M.Y., 1996. HYSEP: a computer program for stream flow hydrograph separation and analysis. U.S. Geological Survey, Water-Resources Investigation Report 96-4040, Reston, VA, 46 pp.
23. U.S. EPA., 2001. Our built and natural environment: a technical review of the interactions between land use, transportation, and environmental quality. U.S. Environmental Protection Agency Report EPA 231-R-01-002, Washington, DC, 102 pp. Available at Accessed in September 2006. http://www.epa.gov/dced/pdf/built.pdf.
24. Wu J., Zheng C., Chien C.C., Zheng L. A comparative study of Monte Carlo simple genetic algorithm and noisy genetic algorithm for cost-effective sampling network design under uncertainty. Advanced in Water Resources 2006, 29:899-911.