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Water Sci Technol. 2017 Feb;75(3-4):978-986. doi: 10.2166/wst.2016.575.

Potential use of ionic species for identifying source land-uses of stormwater runoff.

Author information

1
Department of Civil and Environmental Engineering, Dongguk University - Seoul, Seoul 100-715, Republic of Korea E-mail: joohyon@dongguk.edu.
2
Department of Environmental Engineering and Energy, Myongji University, Yongin, Gyeonggi-do 449-728, Republic of Korea.

Abstract

Identifying critical land-uses or source areas is important to prioritize resources for cost-effective stormwater management. This study investigated the use of information on ionic composition as a fingerprint to identify the source land-use of stormwater runoff. We used 12 ionic species in stormwater runoff monitored for a total of 20 storm events at five sites with different land-use compositions during the 2012-2014 wet seasons. A stepwise forward discriminant function analysis (DFA) with the jack-knifed cross validation approach was used to select ionic species that better discriminate the land-use of its source. Of the 12 ionic species, 9 species (K+, Mg2+, Na+, NH4+, Br-, Cl-, F-, NO2-, and SO42-) were selected for better performance of the DFA. The DFA successfully differentiated stormwater samples from urban, rural, and construction sites using concentrations of the ionic species (70%, 95%, and 91% of correct classification, respectively). Over 80% of the new data cases were correctly classified by the trained DFA model. When applied to data cases from a mixed land-use catchment and downstream, the DFA model showed the greater impact of urban areas and rural areas respectively in the earlier and later parts of a storm event.

PMID:
28234298
DOI:
10.2166/wst.2016.575
[Indexed for MEDLINE]

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