폐수의 무단 방류 모니터링을 위한 센서배치 우선지역 결정: 자기조직화지도 인공신경망의 적용 = Real-time monitoring sensor displacement for illicit discharge of wastewater: identification of hotspot using the self-organizing maps(SOMs)

다국어 초록 (Multilingual Abstract)

Objectives of this study were to identify the hotspot for displacement of the on-line water quality sensors, in order to detect illicit discharge of untreated wastewater. A total of twenty-six water quality parameters were measured in sewer networks of the industrial complex located in Daejeon city as a test-bed site of this study. For the water qualities measured on a daily basis by 2-hour interval, the self-organizing maps(SOMs), one of the artificial neural networks(ANNs), were applied to classify the catchments to the clusters in accordance with patterns of water qualities discharged, and to determine the hotspot for priority sensor allocation in the study. The results revealed that the catchments were classified into four clusters in terms of extent of water qualities, in which the grouping were validated by the Euclidean distance and Davies-Bouldin index. Of the on-line sensors, total organic carbon(TOC) sensor, selected to be suitable for organic pollutants monitoring, would be effective to be allocated in D and a part of E catchments.
Pb sensor, of heavy metals, would be suitable to be displaced in A and a part of B catchments.

참고문헌 (Reference)

1 남형규, "자기조직화지도(Self-organizing map)와 랜덤 포레스트 분석(Random forest)을 이용한 논습지에 도래하는 수조류 군집 특성 파악" 한국환경농학회 34 (34): 168-177, 2015

2 Kohler, A., "Unsupervised feature selection and general pattern discovery using self-organizing maps for gaining insights into the nature of seismic wavefields" 35 : 1757-1767, 2009

3 Kohonen, T., "Self-Organzing Maps" Springer 2001

4 Banik, B. K., "SWMM5 toolkit development for pollution source identification in sewer systems" 89 : 750-757, 2014

5 백병천, "SOM을 이용한 하천 유량과 수질의 패턴분석에 관한 연구" 한국도시환경학회 11 (11): 153-160, 2011

6 Mekler, A., "Quality assessment of data discrimination using self-organizing maps" 51 : 210-218, 2014

7 Vesanto, J., "Clustering of the self-organizing map" 11 (11): 586-600, 2000

8 Bedoya, D., "Characterization of biological responses under different environmental conditions: A hierarchical modeling approach" 222 : 532-545, 2011

9 Davies, D. L., "A cluster separation measure" 1 (1): 224-227, 1979