• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2117-2121
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• 2009

우리나라는 도시화, 산업화로 하천의 환경적인 기능을 고려하지 못하고 심각한 수질오염을 유발하여 왔다. 특히 기술개발로 점오염원에 관리는 어느정도 효과를 보고있으나 정량화가 힘든 비점오염원 관리는 제대로 이루어지고 있지 않다. 우리나라의 강우시 수자원관리를 위한 기초자료로서 활용하기 위하여 본 연구에서는 강우시 수질특성을 파악하고자 하였다. 비점오염원의 특성상 유역별, 강우사상별 특징이 매우 다르므로 대표 유역에 대하여 장기적인 모니터링을 통하여 대표유역의 특성을 반영한 제한적인 누가유량-누가오염부하량의 관계식을 도출하여 좀더 정밀한 유역오염부하량을 산정하는 데 기여하고자 하였다. 연구 지점은 수도권 및 인근지역 주민의 식수원인 팔당호로 직 유입되고 정확한 유량자료 확보가 가능한 경안수위관측소 지점으로 선정하였다. 연구기간은 2007년 6월$^{\sim}$2008년 12월이었으며 이 기간에 나타난 강우 중 4개의 강우사상에 대하여 수질측정 및 실시간 수위관측을 실시하였다. 수위-유량관계곡선식으로 산정한 유량자료와 실측한 수질자료를 바탕으로 누가유량-누가오염부하량의 단순회귀식을 도출하였다. 수질항목은 수온, DO, pH, EC, SS, BOD, $COD_{Mn}$, $COD_{Cr}$, T-N, T-P 등이며 단, BOD는 2개의 강우사상에서만 측정되었다. 현장에서 휴대용미터를 이용하여 수온, DO, pH, EC를 측정하였고 나머지 항목은 한국건설 기술연구원내 환경정밀분석센타에 의뢰하여 분석하였다. 각 항목별 실측치를 이용한 누가유량-누가오염부하량 관계식을 도출한 결과 각 도출된 식의 상관계수 값은 전 항목에서 0.9 이상으로 1에 가깝게 나타나 높은 상관관계을 가지는 것으로 분석되었다. 항목별로 보면 BOD는 0.95, SS는 0.96, $COD_{Mn}$은 0.98, $COD_{Cr}$은 0.95, T-N은 0.97, T-P는 0.92의 값을 가졌다. 앞으로 장기적인 모니터링이 지속적으로 이루어져 다양한 강우사상별 자료가 축적된다면 좀더 정밀한 유량-부하량 관계식을 도출할 수 있을 것으로 판단되며 이는 수자원관리에 중요한 자료가 될 것으로 기대된다.

• Journal of Korean Society on Water Environment
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• v.36 no.2
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• pp.98-108
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• 2020

The purpose of this study was to evaluate water quality in Hapcheon dam via using the Hydrological Simulation Program-Fortran (HSPF) model and applied livestock reduction scenarios. Hapcheon dam watershed input data for the HSPF model were established using the stream, land use, digital elevation map and meteorological data and others. The HSPF model was calibrated and validated using the observed water quality data from 2000 to 2016. For water quality simulation, we calculated the generated and discharge loads of the population, livestock, industry and land use following the guideline provided by the Ministry of Environment. The pollutant data were obtained from National Institute of Environmental Research (NIER). The monthly discharge load were estimated by applying the delivery rate. The calibration and validation results showed that the annual mean BOD had a difference of 0.22 mg/L and an error of ±13 %, T-N had a difference of 0.66 mg/L and an error of ±16 % and T-P had a difference of 0.027 mg/L and an error of ±13 %. In order to evaluate the nonpoint pollutants management effects, we applied livestock reduction scenarios because livestock consists of the largest portion of pollutants. As a result of the 20 % of livestock reduction, BOD, T-N and T-P decreased by 3 %, 1 % and 3 %, respectively. When 40 % of livestock reduction was applied, BOD, T-N and T-P decreased by 5 %, 3 % and 4 %, respectively. Based on the results of this study, effective pollutant management methods can be applied to improve the water quality and achieve the target water quality of Hapcheon dam watershed.

• Journal of Environmental Science International
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• v.20 no.8
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• pp.977-986
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• 2011

This study analyzed the characteristics of stormwater runoff in the orchard areas and quantitatively estimated effluence of nonpoint source pollutants for the volume of runoff. Two target areas under vine cultivation were each $2,000m^2$ and $1,800m^2$, located in Gyeongju City. Since grape was the only crop on the target area, the characteristics of stormwater runoff at vineyard could be evaluated independently. A total of 51 rainfall events in the vineyard area during two years(2008-2009) was surveyed, and 19 of them became stormwater runoff, with rainfall ranging 16.5 - 79.7 mm and antecedent dry period of 1-13 days. The pollutant runoff loads by volume of stormwater runoff showed BOD ranging 19.5 - 45.3% in 30% of runoff volume. The average pollution discharge rate was 32.4%, indicating small first flush effect of BOD. The range of SS concentrations was 5 - 52.0% in 10% of runoff volume, showing the average 28.7% of discharge rate, about 3 times more than rainfall effluent. TOC and TN appeared to be similar to the results of BOD, the average discharge rate of 30.9% and 30.6% for TOC and TN, respectively, for 30% of stormwater runoff volume. Average discharge rate of COD and TP in the same runoff volume was 35.1% and 36%, respectively, showing comparatively high discharge ratio. As the targeted vineyard area was permeable land, the pollution load ratio against rainfall-runoff volume appeared to be 1:1, implying no strong first flush effect for all the survey items.

• Ecology and Resilient Infrastructure
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• v.3 no.4
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• pp.238-246
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• 2016

Water purification facilities utilizing three technologies - a detention pond, an artificial wetland and an ecological revetment - were installed in waterfront spaces, including river embankments and watersides that have so far been left neglected, and then their water purification levels were analyzed in this study. The water purification facilities were found to show average removal efficiencies of 48.6% in suspended solid (SS), 30.5% in biochemical oxygen demand (BOD), 18.4% in total nitrogen (T-N) and 27.3% in total phosphorus (T-P) during rainfall. The removal efficiencies during non-rainfall were 33.2% in SS, 28.6% in BOD, 13.7% in T-N and 17.3% in T-P. These results showed that the water purification facilities using a detention pond, an artificial wetland and an ecological revetment can be used as a useful natural water purification technology in in waterfront spaces.

• Journal of Korean Society on Water Environment
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• v.33 no.1
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• pp.51-62
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• 2017

The purpose of this study is to evaluate on the applicability of Load Duration Curve (LDC) method using Maintenance of Variance Extension types 2 method and sampling data for efficient total maximum daily loads at the Nakbon-A unit watershed in Korea. The LDC method allows for characterizing water quality data such as BOD, TOC, T-N and T-P in this study at different flow regimes(or quarters). BOD usually exceeded the standard value (exceedance probability 50%) at low flow zone. On the other hand, TOC, T-N, T-P usually exceeded the standard value at dry and low flow zone. Seasonally all water quality variables usually exceeded the standard value at Q1(Jan-Mar) and Q2(Apr-Jun) zones. Improvement of effluent control from wastewater treatment plants are effective to improve BOD and T-P.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1247-1252
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• 2010

강원도 평창군 대관령면 횡계리에 위치한 고랭지 밭을 2008년 3월부터 2009년 12월까지 발생한 강우사상에 대하여 모니터링을 실시하여, 경지단위의 밭에서 발생하는 비점오염부하를 측정하고, 작물에 의한 발생량을 비교하였다. 2008년에는 감자를 재배하였고, 2009년에는 무를 재배하였다. 2008년의 시비량은 2009년의 시비량보다 질소 2.1배, 인산 1.9배, 칼륨 2.3배 높게 나타났다. 2008년 총 5회의 유출에 의해 SS 2,908.47 kg/ha/yr, COD 67.95 kg/ha/yr, BOD 50.72 kg/ha/yr, TN 13.29 kg/ha/yr, TP 9.97 kg/ha/yr의 연 오염부하가 발생하였으며, 2009년 총 8회의 유출에 의해 SS 3,908.34 kg/ha/yr, COD 225.04 kg/ha/yr, BOD 156.96 kg/ha/yr, TN 18.88 kg/ha/yr, TP 36.41 kg/ha/yr의 연 오염부하가 발생하였다. 2008년과 2009년의 강우량이 다르기 때문에 연 오염 부하를 유출이 발생한 강우량의 합으로 나누어 비교하였다. 비료사용량이 2008년에 약 2배 많았음에도 불구하고 단위 강우량 당 오염부하에서 TN은 0.031 kg/ha/mm와 0.029 kg/ha/mm로 큰 차이가 나타나지 않았고, COD는 0.16 kg/ha/mm와 0.35 kg/ha/mm, BOD는 0.12 kg/ha/mm와 0.24 kg/ha/mm, TP는 0.023 kg/ha/mm와 0.057 kg/ha/mm로 2009년에 2배 이상 증가하였다. 이는 비료의 사용량보다 작물의 성장에 의한 지표피복효과가 비점오염 저감에 더 효과적 작용할 수 있다는 것을 의미한다. 따라서 고랭지 밭에서 피복율이 높은 작물을 재배하거나 피복재에 의한 지표피복을 실시하면 비점오염의 저감을 위한 최적관리방안으로 활용 될 수 있을 것이다.

• Journal of Environmental Science International
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• v.28 no.10
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• pp.873-885
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• 2019

In this study, a load duration curve was applied to the Jangseongcheon, one of the tributaries of the Yeongsan River, to assess whether the target water quality was achieved. In addition, pollution of the water body was investigated to develop and suggest the optimal management time with respect to polluted flow sections and monthly conditions. The average flow rates of sections JS1 and JS2 were $0.25m^3/s$ and $1.08m^3/s$, respectively. The BOD and T-P for water-quality standards at JS1 were rated at II, whereas the COD and TOC were rated at III, thus indicating a fair level of water quality. By contrast, the BOD at JS2 was rated at III, the T-P at IV, and the TOC at V, indicating poor water quality in this section. The load duration curve was plotted using the actual flow data measured in eight-day intervals for eight years from 2011 to 2018 at locations JS1 and JS2 in the Jangsungcheon Basin. In an assessment using the load duration curve on whether the target water quality was met at location JS1, all of the water quality parameters (BOD, COD, TOC, T-N, T-P, and SS) satisfied the target water quality. By contrast, at location JS2, parameters COD, TOC, T-N, and T-P exceeded target values by more than 50%, indicating the target water quality was not met. The discharge loads of locations JS1 and JS2 were analyzed to identify the reasons the target water quality was exceeded. Results revealed that the land system contributed considerably. Furthermore, the discharge load of JS2 accounted for more than 80% of the load on the entire basin, excluding that of JS1. Therefore, the best method for restraining the inflow of pollutants into the stream near location JS2 must be applied to manage the water quality of the Jangsungcheon.

• Korean Journal of Agricultural Science
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• v.46 no.1
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• pp.67-78
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• 2019

The purpose of this study was to predict the water quality using the RNN (recurrent neutral network) and LSTM (long short-term memory). These are advanced forms of machine learning algorithms that are better suited for time series learning compared to artificial neural networks; however, they have not been investigated before for water quality prediction. Three water quality indexes, the BOD (biochemical oxygen demand), COD (chemical oxygen demand), and SS (suspended solids) are predicted by the RNN and LSTM. TensorFlow, an open source library developed by Google, was used to implement the machine learning algorithm. The Okcheon observation point in the Geum River basin in the Republic of Korea was selected as the target point for the prediction of the water quality. Ten years of daily observed meteorological (daily temperature and daily wind speed) and hydrological (water level and flow discharge) data were used as the inputs, and irregularly observed water quality (BOD, COD, and SS) data were used as the learning materials. The irregularly observed water quality data were converted into daily data with the linear interpolation method. The water quality after one day was predicted by the machine learning algorithm, and it was found that a water quality prediction is possible with high accuracy compared to existing physical modeling results in the prediction of the BOD, COD, and SS, which are very non-linear. The sequence length and iteration were changed to compare the performances of the algorithms.

• Journal of Korean Society on Water Environment
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• v.35 no.5
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• pp.399-408
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• 2019

The average annual water quality at Yongchon Bridge, Bonggok 2 Bridge, and Gasuwon Bridge in upstream of Gapcheon in 2018 was Ib grade (good) in organic matters, including BOD and TOC compared to the local environmental standard in Daejeon. However, their monthly changes for TOC partially exceeded the standard during the busy farming season at Bonggok 2 Bridge and Gasuwon Bridge. Although the annual average TP was within the standard, the monthly change at Bonggok 2 Bridge partially exceeded the standard. For Dugyecheon, the annual average water quality in 2018 at Umyeon-dong Bridge and Wonjeong Bridge, which are downstream of the Gyeryong public sewage treatment plant, exceeded the local environmental standard in BOD. COD was exceeded, and TP was within the standard. It seemed that the causes of deteriorated water quality downstream of Dugyecheon were discharges of agricultural water from agricultural land and effluent from the Gyeryong public sewage treatment plant. Assuming the pollution load of 100% based at the Mulangil point of the mainstream of Gapcheon, the ratio of BOD load and TOC load were as high as 58% and 47%, respectively. At the basin of Bonggok 2 Bridge and Mulangil, the loads downstream of Dugyecheon including the Gyeryong public sewage treatment plant were as high as 43% for TN and 56% for TP, respectively, indicating that Dugyecheon had a major impact on the water quality at the mainstream of Gapcheon.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.779-784
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• 2008

환경부에서 추진하고 있는 토지피복 중분류별 비점오염부하원단위를 산정하기 위한 사업 중 나지로 분류되는 채광지역의 비점오염부하를 측정하였다. 비점오염부하는 강원도 삼척시 도계읍의 도계 작업장(석탄)과 태백시 장성동의 태백 저탄소 등 2곳의 채광지역에서 2007년 9월부터 12월까지 2회의 강우유출사상을 대상으로 측정하였다. 2회 강우사상 동안 총강수량은 도계 작업장에서 149 mm이었으며 태백 저탄소에서 201 mm이었다. 유출량은 수위계와 유량계로 5분 단위로 측정하였으며, 수질시료는 자동채수기로 2시간 간격으로 채취하였다. 수질시료는 환경부의 공정시험법에 따라 SS, BOD, CODcr, T-N, T-P, 그리고 TOC 농도를 분석하였다. 그리고 일부의 시료에 대해서는 Zn, Cb, Cu, 그리고 Pb의 농도를 분석하였다. 도계 작업장의 유량가중평균농도는 갱내수의 수질에 많은 영향을 받는 것으로 나타났다. 도계작업장의 일평균유량가중평균농도는 SS $86.3{\sim}94.9\;mg/{\ell}$, BOD $3.8{\sim}7.6\;mg/{\ell}$, COD $26.9{\sim}51.6\;mg/{\ell}$, T-N $1.5{\sim}2.1\;mg/{\ell}$, T-P $0.2\;mg/{\ell}$ 그리고 TOC $1.8{\sim}2.3\;mg/{\ell}$로 나타났다. 태백 저탄소의 일평균유량가중평균농도는 SS $16.5{\sim}66.6\;mg/{\ell}$, BOD $7.4{\sim}9.8\;mg/{\ell}$, COD $41.1{\sim}66.7\;mg/{\ell}$, T-N $0.7{\sim}1.1\;mg/{\ell}$, T-P $0.2\;mg/{\ell}$ 그리고 TOC $1.7{\sim}2.6\;mg/{\ell}$로 나타났다. 중금속의 농도는 모든 시료에서 환경부의 배출허용기준농도보다 낮게 나타나거나 검출되지 않았다. 도계 작업장의 일오염부하는 SS $1,368.8{\sim}1,984.1\;kg/day$, BOD $56.6{\sim}128.9\;kg/day$, COD $385.7{\sim}933.7\;kg/day$, T-N $23.4{\sim}44.5\;kg/day$, T-P $2.1{\sim}4.8\;kg/day$ 그리고 TOC $24.3{\sim}39.3\;kg/day$이었다. 태백 저탄소의 일오염부하는 SS $8.2{\sim}162.1\;kg/day$, BOD $2.6{\sim}15.3\;kg/day$, COD $13.8{\sim}83.6\;kg/day$, T-N $0.2{\sim}3.1\;kg/day$, T-P $0.1{\sim}0.6\;kg/day$ 그리고 TOC $0.7{\sim}4.4\;kg/day$로 나타났다. 본 연구는 2회의 강우유출사상에 대하여 측정한 자료이므로 연평균농도나 연평균오염부하로 활용하기는 어렵다. 그러나 석탄광산지역의 비점오염부하를 이해하는데 활용할 수 있으며 또한 장기적인 연구자료로 활용하여 석탄광산지역의 비점오염원단위의 산정에 유용한 자료로 활용할 수 있다.