• 생태와환경
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• 제33권4호통권92호
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• pp.328-335
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• 2000

현재 우리나라에서 수중의 유기물양의 지표로 사용되고 있는 $COD_{Mn}$법이 지표로서 적합한지를 알아보기 위하여 소양호의 댐앞지점과 유입수를 대상으로 유기물양과 $COD_{Mn}$과의 상관관계를 알아보았다. 또한 소양호를 표충, 중층, 심층으로 나누어 $COD_{Mn}$ 법에 의한 각 충의 유기물산화정도를 비교하였다. 소양호의 유기물농도와 $COD_{Mn}$ 비는 계절에 따라 매우 상이하였고, 수층에 따라서도 차이를 보였다. 유입수에서도 홍수기를 전후로 하여 유기물농도와 $COD_{Mn}$ 비가 유의적인 차이를 보였다. $COD_{Mn}$ 법에 의한 소양호의 유기물의 산화는 평균 40% 정도로 낮은 값을 보였다. 특히 심층의 유기물은 $COD_{Mn}$ 법에 의해 산화되는 양이 30%이하로 매우 낮았다. 이러한 결과는 $COD_{Mn}$ 법이 호수와 하천의 유기물양을 제대로 대변하고 있지 못할 뿐 아니라 계절에 따라 유기물의 조성이 변할 때 $COD_{Mn}$ 법에 의한 유기물산화력이 변한다는 단점을 보여준다.

• 한국물환경학회지
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• 제31권2호
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• pp.181-195
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• 2015

Algal blooms in lakes are one of major environmental issues in Korea. A three-dimensional, hydrodynamic and water quality model was developed and tested in Lake Euiam to assess the performance and limitations of numerical modeling with multiple algal groups using field data commonly collected for algal management. In this study, EFDC was adopted as the basic model framework. Simulated vertical profiles of water temperature, dissolved oxygen and nutrients monitored at five water quality monitoring stations from March to October 2013, which are closely related to algal dynamics simulation, showed good agreement with those of observed data. The overall spatio-temporal variations of three algal groups were reasonably simulated against the chlorophyll-a levels of those estimated from the limited monitoring data (chlorophyll-a level and cell numbers of algal species) with the RMSEs ranging from 2.6 to $17.5mg/m^3$. Also, note that $PO_4-P$ level in the water column was a key limiting factor controlling the growth of three algal groups during most of simulation period. However, the algal modeling results were not fully attainable to the levels of observation during short periods of time showing abrupt increase in algae throughout the lake. In particular, the green algae/cyanobacteria and diatom simulations were underestimated in late June to early July and early October, respectively. The results shows that better understanding of internal algal processes, neglected in most algal modeling studies, is necessary to predict the sudden algal blooms more accurately because the concentrations of external $PO_4-P$ and specific algal groups originated from the tributaries (mainly, dam water releases) during the periods were too low to fully capture the sharp rise of internal algal levels. In this respect, this study suggests that future modeling efforts should be focused on the quantification of internal cycling processes including vertical movement of algal species with respect to changes in environmental conditions to enhance the modeling performance on complex algal dynamics.