Stochastic Programming Model for River Water Quality Management

추계학적 계획모형을 이용한 하천수질관리

  • 조재현 (관동대학교 이공대학 환경공학과)
  • Received : 1993.07.21
  • Published : 1994.01.31

Abstract

A stochastic programming model for river water quality management was developed. River water quality, river flow, quality and flowrate of the wastewater treatment plant inflow were treated as random variables in the model. Withdrawal for water supply and submerged weir reaeration were included in the model itself. A probabilistic model was formulated to compute the expectation and variance of water quality using Streeter-Phelps equation. Chance constraints of the optimization problem were converted to deterministic equivalents by chance constrained method. Objective function was total annual treatment cost of all wastewater treatment plants in the region. Construction cost function and O & M cost function were derived in the form of nonlinear equations that are functions of treatment efficiency and capacity of treatment plant. The optimization problem was solved by nonlinear programming. This model was applied to the lower Han River. The results show that the reliability to meet the DO standards of the year 1996 is about 50% when the treatment level of four wastewater treatment plants in Seoul is secondary treatment, and BOD load from the tributary inflows is the same as present time. And when BOD load from Tanchon, Jungrangchon, and Anyangchon is decreased to 50%, the reliability to meet the DO standards of the year 1996 is above 60%. This results indicated that for the sake of the water quality conservation of the lower Han River, water quality of the tributaries must be improved, and at least secondary level of treatment is required in the wastewater treatment plants.

본 연구에서는 하천본류의 유량과 수질, 하수처리장 유입수량과 유입수질을 확률변수로 두고, 취수 문제와 수중보에 의한 재포기현상을 포함하는 추계학적 하천수질관리모형을 개발하였다. Streeter-Phelps식을 이용해서 각 구간 하천수질의 기대값과 분산을 계산하는 확률모형을 만들고, 최적화문제의 확률적 제약식은 chance constrained 방법을 이용해서 확정적 제약식으로 변환한다. 목적함수는 지역내 하수처리장의 년간처리비용으로 두었다. 건설비용함수와 유지관리비함수는 처리효율과 처리용량의 함수인 비선형의 단일식으로 유도되었다. 최적화문제는 비선형계획법으로 해를 구하였다. 본 모형을 한강하류부에 적용한 결과 서울시내 4개 하수처리장에서 2차처리를 하고, 지천유입수의 BOD부하량이 현재와 같을 때, 1996년 DO수질기준을 만족하는 신뢰도는 50% 정도였다. 그리고 탄천, 중량천, 안양천의 BOD부하량을 현재보다 50% 감소시켰을 때 1996년 DO수질기준을 만족하는 신뢰도는 60% 이상이었다. 따라서 한강하류부의 수질보전을 위해서는 유입지천의 수질개선과 2차처리 이상의 하수처리가 요구된다.

Keywords

Acknowledgement

Supported by : 한국과학재단