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The Process Control Using Modeling Technique in A2O Sewage Treatment Process

모델링기법을 이용한 A2O 하수처리공정에서 주요 공정관리에 관한 연구

  • Park, Jung Soo (Dept. of Civil & Environment Engineering, Cheongju Univ.) ;
  • Kim, Sung Duk (Dept. of Civil & Environment Engineering, Cheongju Univ.) ;
  • Seung, Dho Hyon (Dept. of Civil & Environment Engineering, Cheongju Univ.)
  • 박정수 (청주대학교 토목환경공학과) ;
  • 김성덕 (청주대학교 토목환경공학과) ;
  • 도현승 (청주대학교 토목환경공학과)
  • Received : 2020.05.04
  • Accepted : 2020.06.12
  • Published : 2020.06.30

Abstract

The efficiency of sewage treatment was ananlyzed selecting a sewage treatment plant in Gyeonggi-do where A2O process was applied. Statistical techniques based on the operation data of the sewage treatment were used. The main factors directly affecting the efficiency of the treatment process were analyzed using a GPS-X model. The correlation analysis and one-way ANOVA were performed. The T-N and NH4+-N values of the effluent did not generate statistically significant level (p-value:>0.05) when compared with C/N ration values. Removel of nitrogen components form sewage treatment plants were affected by temperature, HRT, SRT and DO. In the case of BOD, all operating factors were affected, while COD was affecte by factors of HRT, STR and DO. In simulations using GPS-X, the parameters that greatly influence was included the maximum sedimentation rate, the dependent nutrient microbial yield (anoxic), the phosphorus saturation coefficient, the dependent nutrient microbial killing rate, the dependent nutrient microbial maximum growth rate, and the independent trophic microorganisms. The maximum growth rate and the maximum setting rate were identified.

본 연구에서는 A2O 공정을 적용하여 운영중인 하수처리시설의 운영데이타를 바탕으로 현재 운영중인 하수처리장의 효율성을 통계적기법을 이용하여 분석하였으며, GPS-X 공정모델프로그램을 활용하여 최적의 운영조건을 도출하였다. 하수처리장의 운영인자는 기초통계분석과 상관관계분석, 일원분산분석을 실시하였다. 기초통계 분석결과 연구대상 하수처리장의 유입량은 여름철에 가장 높게 분석되었으며, 다른 계절에 비해서 유입량의 변동성이 가장 크게 나타났다. 다원변량 분석의 결과 유출 T-N 및 NH4+-N은 C/N비와 통계적으로 유의한 수준이 도출되지 않았다(p-value : > 0.05). A2O하수운영의 각 영향인자중에서 질소 성분의 제거는 유입 수온, HRT, SRT, DO에 주로 영향을 받고, BOD의 경우 모든 운영 인자, COD는 항목은 HRT, SRT, DO 운영인자에 영향을 받았다. GPS-X를 A2O 공정의 이용한 시뮬레이션에서 매개변수는 최대 침전 속도, 종속영양미생물 수율(무산소성), 인 반포화계수, 종속영양미생물 사멸율, 종속영양미생물 최대 성장률, 독립영양미생물 최대 성장률, 최대 침전 속도로 나타나 이러한 매개변수가 시뮬레이션에 주요 영향을 미치는 인자로 확인되었다.

Keywords

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