Potential use of ionic species for identifying source land-uses of stormwater runoff
| Autor: | Chang-Hee Lee, Dong Hoon Lee, Jin Hwi Kim, Joseph Albert Mendoza, Joo-Hyon Kang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Environmental Engineering
Rain 0208 environmental biotechnology Stormwater Drainage basin Ionic bonding 02 engineering and technology 010501 environmental sciences 01 natural sciences Ionic composition Republic of Korea Water Movements 0105 earth and related environmental sciences Water Science and Technology Ions Hydrology geography geography.geographical_feature_category Land use Stormwater management Models Theoretical 020801 environmental engineering Environmental science Seasons Surface runoff Environmental Monitoring Critical source area |
| Zdroj: | Water Science and Technology. 75:978-986 |
| ISSN: | 1996-9732 0273-1223 |
| Popis: | 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 twelve ionic species in stormwater runoff monitored for a total of 20 storm events at five sites with different land-use compositions during 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 twelve ionic species, 9 species (K + , Mg 2+ , Na + , NH 4 + , Br − , Cl − , F − , NO 2 − , and SO 4 2− ) 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. |
| Databáze: | OpenAIRE |
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