FLOW REGULATION FOR WATER QUALITY (CHLOROPHYLL A) IMPROVEMENT

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JEONG K.S.; KIM D.K.; SHIN H.S.; KIM H.W.; CAO H.; JANG M.H.; JOO G.J.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) Year:2010 | Volume:4 | Issue:4 Page(s): 713-724

Download Full-Text

View:

367

Download:

148

Cites:

Information Journal Paper

Title

FLOW REGULATION FOR WATER QUALITY (CHLOROPHYLL A) IMPROVEMENT

Author(s)

Keywords

WATER QUALITY MODELING

MACHINE LEARNING

HYBRID EVOLUTIONARY ALGORITHM

NAKDONG RIVER

SMART FLOW CONTROL

SENSITIVITY ANALYSIS

Abstract

In this study a MACHINE LEARNING algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower NAKDONG RIVER, South Korea. We used a “Hybrid Evolutionary Algorithm (HEA)” which generated model consists of three functions ‘IF-THENELSE’ on the basis of a 15-year, weekly monitored ecological database. We used the average monthly data, 12 years for the training and development of the rule-set model, and the remaining three years of data were used to validate the model performance. Seven hydrological parameters (rainfall, discharge from four multi-purpose dams, the summed dam discharge, and river flow at the study site) were used in the modeling. The HEA selected reasonable parameters among those 7 inputs and optimized the functions for the prediction of phytoplankton biomass during training. The developed model provided accurate predictability on the changes of chlorophyll a (determination coefficients for training data, 0.51; testing data, 0.54). Sensitivity analyses for the model revealed negative relationship between dam discharge and changes in the chlorophyll a concentration. While decreased dam discharge for the testing data was applied; the model returned increased chlorophyll a by 17-95%, and vice versa (a 3-18% decrease). The results indicate the importance of water flow regulation as specific dam discharge is effective to chlorophyll a concentration in the lower NAKDONG RIVER.

Cites

No record.

References

No record.

Cite

APA: Copy

JEONG, K.S., KIM, D.K., SHIN, H.S., KIM, H.W., CAO, H., JANG, M.H., & JOO, G.J.. (2010). FLOW REGULATION FOR WATER QUALITY (CHLOROPHYLL A) IMPROVEMENT. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), 4(4), 713-724. SID. https://sid.ir/paper/300837/en

Vancouver: Copy

JEONG K.S., KIM D.K., SHIN H.S., KIM H.W., CAO H., JANG M.H., JOO G.J.. FLOW REGULATION FOR WATER QUALITY (CHLOROPHYLL A) IMPROVEMENT. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER)[Internet]. 2010;4(4):713-724. Available from: https://sid.ir/paper/300837/en

IEEE: Copy

K.S. JEONG, D.K. KIM, H.S. SHIN, H.W. KIM, H. CAO, M.H. JANG, and G.J. JOO, “FLOW REGULATION FOR WATER QUALITY (CHLOROPHYLL A) IMPROVEMENT,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), vol. 4, no. 4, pp. 713–724, 2010, [Online]. Available: https://sid.ir/paper/300837/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops