Development of Turbidity Backward Tracking Scheme Using Py_STPS Model and Monitoring Data&gt;Development of Turbidity Backward Tracking Scheme Using Py_STPS Model and Monitoring Data

Hong Koo Yeo; Namjoo Lee

doi:10.17820/eri.2023.10.4.125

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2023 Vol.10, Issue 4 Preview Page Next Page

Original Article

Development of Turbidity Backward Tracking Scheme Using Py_STPS Model and Monitoring Data>Development of Turbidity Backward Tracking Scheme Using Py_STPS Model and Monitoring Data Py_STPS모형과 관측자료를 활용한 탁도역추적기법 개발

31 December 2023. pp. 125-134

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Abstract

In order to develop a backtracking technique for turbidity measurement data without discriminatory characteristics, three turbidity backtracking techniques for predicting inflow turbidity of a stream were compared using real-time turbidity data measured at automatic water quality measurement points located upstream and downstream of the stream and the Py_STPS model. Three turbidity backtracking techniques were applied: 1) simple preservation method of turbidity load considering flow time, 2) a method of using the flow rate at the upstream boundary considering the flow time as the flow rate at the downstream boundary, 3) method of introducing internal reaction rate to reflect the behavior characteristics of turbidity-causing substances. As a result of applying the three backtracking models, it was confirmed that the backtracking technique that introduced the internal reaction rate had the best results.

Keywords

Backtracking technique

Internal reaction rate

Py_STPS model

Turbidity load

Turbidity

차별적 특징을 갖지 않는 탁도 측정자료에 대한 역추적기법을 개발하고자 지천의 상류와 하류에 위치한 수질자동측정점에서 측정된 실시간 탁도자료와 Py_STPS모형을 사용하여 지천의 유입탁도를 예측하는 세 가지 탁도역추적기법을 비교하였다. 유하시간을 고려한 탁도부하량 단순보존 방법, 유하시간을 고려한 상류경계의 유량을 하류경계의 유량으로 사용하는 방법, 탁도 유발물질의 거동특성을 반영하기 위해 내부반응률을 도입한 방법 세 가지 탁도 역추적기법을 적용하였다. 세 가지 역추적모형의 적용 결과, 내부반응률을 도입한 역추적기법의 결과가 가장 우수함을 확인할 수 있었다.

키워드

역추적기법

내부반응률

Py_STPS모형

탁도부하량

탁도

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Information

Publisher :Korean Society of Ecology and Infrastructure Engineering
Publisher(Ko) :응용생태공학회
Journal Title :Ecology and Resilient Infrastructure
Journal Title(Ko) :응용생태공학회 논문집
Volume : 10
No :4
Pages :125-134
Received Date : 2023-11-20
Revised Date : 2023-11-29
Accepted Date : 2023-11-29
DOI :https://doi.org/10.17820/eri.2023.10.4.125

Ecology and Resilient Infrastructure ISSN:2288-8527(Online) 응용생태공학회 논문집

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