QUALKO 및 QUAL2E를 이용한 영산강수계 수질모델링에 관한 연구 (A Study on Water Quality Modeling of Yeong San River Basin by QUALKO and QUAL2E)

서지정보

· 발행기관 : 한국도시환경학회
· 수록지 정보 : 한국도시환경학회지 / 9권 / 2호 / 75 ~ 80페이지
· 저자명 : 고재홍, 이용운, 박혜린, 이재춘

초록

The QUAL2E model has been widely used to predict water quality, but it doesn`t
regard the changes(variations) of dissolved oxygen by a water plant or sticking
algae and also BOD by floating algal death. Also, it doesn't regard the denitrification
reaction and organic substances originated from dead algae, either. Thus it
has a limitation to applicate for rivers which are influenced a lot by these changes.
To solve these problems, QUALKO model is, therefore, developed in Korea.
The purpose of this study is to make a comparative study on water quality
prediction results by QUAL2E and QUALKO in Youngsan water system, and the
results are as follows. When same coefficients in both QUAL2E and QUALKO are
applied, The prediction results of BOD, T-P and T-N are good in both models. In
QUAL2E model, the average values of R2 in calibration are 0.935, 0.765, 0.817 in
BOD, T-N and T-P, respectively, and the cases of R2 in verification are 0.776,
0.856, 0.698, respectively. In QUALKO model, the average values of R2 in
calibration are 0.945, 0.763, 0.821 in BOD, T-N and T-P, respectively, and the
cases of R2 in verification are 0.787, 0.855, 0.685, respectively. These results
show the possibility of QUALKO Model as a alternate when the number of
calculation elements and a pollution sources etc exceeds the input limit of QUAL2E
model. Because the QUALKO model is known as a good mnput limsystem in
stagnated waters which has high algal growth, further research is necessary about
the application of impounded watermsystems such as the downstream of Yeongsan
river.

영어초록

The QUAL2E model has been widely used to predict water quality, but it doesn`t
regard the changes(variations) of dissolved oxygen by a water plant or sticking
algae and also BOD by floating algal death. Also, it doesn't regard the denitrification
reaction and organic substances originated from dead algae, either. Thus it
has a limitation to applicate for rivers which are influenced a lot by these changes.
To solve these problems, QUALKO model is, therefore, developed in Korea.
The purpose of this study is to make a comparative study on water quality
prediction results by QUAL2E and QUALKO in Youngsan water system, and the
results are as follows. When same coefficients in both QUAL2E and QUALKO are
applied, The prediction results of BOD, T-P and T-N are good in both models. In
QUAL2E model, the average values of R2 in calibration are 0.935, 0.765, 0.817 in
BOD, T-N and T-P, respectively, and the cases of R2 in verification are 0.776,
0.856, 0.698, respectively. In QUALKO model, the average values of R2 in
calibration are 0.945, 0.763, 0.821 in BOD, T-N and T-P, respectively, and the
cases of R2 in verification are 0.787, 0.855, 0.685, respectively. These results
show the possibility of QUALKO Model as a alternate when the number of
calculation elements and a pollution sources etc exceeds the input limit of QUAL2E
model. Because the QUALKO model is known as a good mnput limsystem in
stagnated waters which has high algal growth, further research is necessary about
the application of impounded watermsystems such as the downstream of Yeongsan
river.

참고자료

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