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HSPF 유역모델을 이용한 낙동강유역 실시간 수문 유출 예측
신창민 ( Chang Min Shin ),나은혜 ( Eun Ye Na ),이은정 ( Eun Jeong Lee ),김덕길 ( Duk Gil Kim ),민중혁 ( Joong Hyuk Min ) 한국물환경학회 2013 한국물환경학회지 Vol.29 No.2
A watershed model was constructed using Hydrological Simulation Program Fortran to quantitatively predict the stream flows at major tributaries of Nakdong River basin, Korea. The entire basin was divided into 32 segments to effectively account for spatial variations in meteorological data and land segment parameter values of each tributary. The model was calibrated at ten tributaries including main stream of the river for a three year period 2008 to 2010. The deviation values Dv of runoff volumes for operational stream flow forecasting for a six month period 2012.1.2 to 2012.6.29 at the ten tributaries ranged from -38.1 to 23.6%, which is on average 7.8% higher than those of runoff volumes for model calibration -12.5 to 8.2%. The increased prediction errors were mainly from the uncertainties of numerical weather prediction modeling; nevertheless the stream flow forecasting results presented in this study were in a good agreement with the measured data.
신창민 ( Chang Min Shin ),민중혁 ( Joong-hyuk Min ),박수영 ( Su Young Park ),최정규 ( Jungkyu Choi ),박종환 ( Jong Hwan Park ),송용식 ( Young Sik Song ),김경현 ( Kyunghyun Kim ) 한국물환경학회(구 한국수질보전학회) 2017 한국물환경학회지 Vol.33 No.2
A watershed-river linked modeling system was developed to forecast the water quality, particularly weekly changes in chlorophyll-a concentration, of the Yeongsan River, Korea. Hydrological Simulation Program-Fortran (HSPF) and Environmental Fluid Dynamics Code (EFDC) were adopted as the basic model framework. In this study, the EFDC model was modified to effectively simulate the operational condition and the flow of multi-functional weirs constructed in the main channel of rivers. The model was tested against hydrologic, water quality and algal data collected at the right upstream sites of two weirs in 2014. The mean absolute errors (MAEs) related to model calibration in the annual variations of the river stage, TN, TP, and algal concentration were 0.03 - 0.10 m, 0.65 - 0.67 mg/L, 0.03 - 0.04 mg/L, and 9.7 - 10.8 mg/m<sup>3</sup>, respectively. On the other hand, the MAE values of forecasting results for the chlorophyll-a level at the same sites in 2015 ranged from 18.7 to 22.4 mg/m<sup>3</sup>, which were higher than those for model calibration. Increased errors in forecasting were mainly attributed to higher uncertainties in weather forecasting data compared to the observed data used for model calibration.
제한된 측정 자료 기반 의암호 3차원 조류 예측 모델링 연구
최정규 ( Jung Kyu Choi ),민중혁 ( Joong Hyuk Min ),김덕우 ( Deok Woo Kim ) 한국물환경학회 2015 한국물환경학회지 Vol.31 No.2
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 17.5 mg/m3. Also, note that PO4-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 PO4-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.
수중 광량 모니터링을 통한 하절기 낙동강 본류 소광 특성 연구
강미리 ( Mi-ri Kang ),민중혁 ( Joong-hyuk Min ),최정규 ( Jungkyu Choi ),박수영 ( Suyoung Park ),신창민 ( Changmin Shin ),공동수 ( Dongsoo Kong ),김한순 ( Han Soon Kim ) 한국물환경학회(구 한국수질보전학회) 2018 한국물환경학회지 Vol.34 No.6
Algal dynamics is controlled by multiple environmental factors such as flow dynamics, water temperature, trophic level, and irradiance. Underwater irradiance penetrating from the atmosphere is exponentially decreased in water column due to absorption and scattering by water molecule and suspended particles including phytoplankton. As the exponential decrease in underwater irradiance affects algal photosynthesis, regulating their spatial distribution, it is critical to understand the light extinction characteristics to find out the mechanisms of algal dynamics more systematically. Despite the significance, the recent data have been rarely reported in the main stream areas of large rivers, Korea. In this study, the euphotic depths and light extinction coefficients were determined by monitoring the vertical variation of underwater irradiance and water quality in the main channel of Nakdong River near Dodong Seowon once a week during summer of 2016. The average values of euphotic depth and light extinction coefficient were 4.0 m and 1.3 m<sup>-1</sup>, respectively. The degree of light extinction increased in turbid water due to flooding, causing an approximate 50 % decrease in euphotic depth. Also, the impact was greater than the self-shading effect during the periods of cyanobacterial bloom. The individual light extinction coefficients for background, total suspended solid and algal levels, frequently used in surface water quality modeling, were determined as 0.305 m<sup>-1</sup>, 0.090 m<sup>-1</sup>/mg·L<sup>-1</sup>, 0.013 m<sup>-1</sup>/μg·L<sup>-1</sup>, respectively. The values estimated in this study were within or close to the ranges reported in literatures.