PURPOSES : The purpose of this study is to assess removal efficiency of non-point pollutants and applicability for non-point pollutant reduction facilities by conducting the demonstration project operation. METHODS : In order to analyze removal efficiency of non-point pollutants for facilities such as a grassed swale, a small constructed wetland, a free water surface wetland, a horizontal sub-surface flow wetland, and a sand filtration, the field data including specifications of facilities, rainfall, inflow and runoff rainfall effluent etc. was acquired after occurring rainfall events, and the acquired data was analyzed for removal efficiency rate to assess road non-point pollutants facilities using event mean concentration (EMC) and summation of load (SOL) methods. RESULTS: The results of analyzing rainfall effluent, non-point pollutant sources showed that total suspended solid (TSS), chemical oxygen demand (COD), biochemical oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP), chrome (Cr), zinc (Zn), and lead (Pb) can be removed through non-point pollutant reduction facilities by 60.3% ~ 100%. Especially removal efficiency of TSS, COD and BOD is relatively higher than removal efficiency of other non-point pollutant sources in all kind of non-point pollutant facilities. CONCLUSIONS : Based on the result of this study, even though natural type of non-point pollutant reduction facilities for roads occupy small areas comparing with drainage basin areas, most of non-point pollutant sources would be removed through the facilities.

In this study, we suggested 4 plans to reduce non-point pollutant sources in Dongcheon and analyzed their controlling effects by water quality modeling, XP-SWMM. To do this we identified the influx of non-point pollutant sources to the initial rainwater through the water quality survey in the river and analyzed the causes of them at major locations, and suggested 4 kinds of plans reducing non-point pollutant sources. Plans reducing the non-point pollutant sources through cleaning the industrial road around the river(plan A), through a separate treatment facilities like the gutter(plan B), through installing treatement facilities(plan C), or through combing plan B and C(plan D) were analyzed using XP-SWMM model. The analysis showed that plan A, B, C and D reduced non-point pollutant sources average 21.7 %, 24.7 %, 49.3 %, 56.7 % respectively. Therefore, the water quality pollution in Dongcheon due to the influx of non-point pollutant sources is considered to be reduced effectively though cleaning the road, installed at the exits of paddy or factory basins, invasion type facilities or equipment-type facilities.

최근의 환경정책은 신설되는 도로에 대하여 비점오염저감시설 설치의무화를 요구하고 있다. 또한 도로건설시 및 유지관리시에는 발생가능한 비점오염물질을 예측하고 이를 저감할 수 있는 방향으로 노선의 계획 및 설계와 더불어 다양한 비점저감방안을 수립할 것을 요구하고 있다. 비점오염원 및 비점오염물질을 관리하기 위해서는 우선 유역의 토지이용도를 분석하여 강우시 배출되는 오염물질의 종류와 양을 산정해야 한다. 특히 도로의 경우, 발생되는 비점오염물질의 원단위가 별도로 존재하지 않고 대지항목의 오염발생원단위를 사용하고 있기에 적용함에 있어서 많은 어려움을 겪고 있는 실정이다. 따라서 본 연구는 포장지역 중 고속도로 영업소를 대상으로 강우시 유출되는 강우유출수의 특성을 파악하여, 이러한 토지이용에서의 비점오염물질 유출특성과 부하량을 산정하고자 한다. 영업소 토지이용의 경우 많은 차량이 속도를 급격히 줄이는 토지이용지역으로 브레이크 패드, 각종 오일 및 엔진파트 등으로부터 많은 양의 오염물질이 축적되고, 포장률이 높아 강우시 다량의 오염물질이 유출되는 지역이다. 본 연구를 통해서 영업소 토지이용지역에서의 초기강우현상을 수리수문 및 농도곡선을 통해 확인할 수 있었다. 또한 EMC로부터 단위면적당 부하량과 강우지속시간당 부하량을 산정하였으며, 이러한 값은 영업소 유지관리시 인근수계에의 환경적인 영향을 해석하기 위한 기초자료로 활용될 수 있다. 강우지속시간당 유출되는 평균부하량은 TSS의 경우 533.7mg/m2-hr, COD 396.2mg/m2-hr, TN 17.0mg/m2-hr, TP 4.8mg/m2-hr로 산정되었다.

In this study, the discharge loads of non-point pollution sources were analyzed using a Hydrologic Simulation Program-Fortran (HSPF) model for 46 sub-watersheds in order to guide the management plan for water and streams passing through the city. The results using HSPF showed good applicability in comparison to point measurements, which were based on BOD, TP, and TN. The mean value of the BOD loads was 4.08 kg/km2 per day, and the highest level of BOD was 17.75 kg/km2 per day at Namri. Three potential areas of high priority for the installment of constructed wetlands were selected in order to reduce non-point pollution sources based on BOD loads and on environmental and economic conditions. The results for these scenarios indicated a maximum rate of reduction in BOD of 39.12% within the proposed constructed wetlands.

This study evaluated the effect of water level of water resources on water quality in Ulsan. Two reservoirs, Sayeon Dam and Hoeya Dam, were selected and water quality of chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) were analyzed from 2012 to 2014. And the characteristics of precipitation were also analyzed for 70 years (1945~2014) because runoff of non-point pollutant was strongly affected by precipitation. As a result, water deterioration of Sayeon Dam and Hoeya Dam were affected in accordance with lowering water level. For example, the concentrations of COD and TN was negatively correlated with the water level when the water level of Sayeon Dam was gradually decreased in 2013. The TN concentration was increased to 1.432 mg/L from 0.875 mg/L while the lowest water level of Sayeon Dam was recorded 45 m in 2014. Additionally the concentration of COD and TN was sensitively increased with 0.213 mg/L/m and 0.058 mg/L/m on account of non-point pollutant runoff. It is indicated that hereafter a control of non-point pollutant runoff is the critical factors to maintain water resources because the contribution of non-point pollutant is expected to increase due to the frequent heavy rain events. Therefore, it is necessary to map out a specific plan for non-point pollutant control based on analyses of runoff characteristics, water pollution sources and reduction plans in water pollutants and to establish a water modelling and database system as a preventive action plan.

This study analyzed the characteristics of stormwater runoff by rainfall type in orchard areas and transportation areas for 2 years(2010~2011year). Effluents were monitored to calculate the Event Mean Concentrations(EMCs) and runoff loads of each pollutant. The pollutant EMCs by volume of stormwater runoff showed the ranges of BOD 0.9~13.6 ㎎/L, COD 13.7~45.2 ㎎/L, SS 4.1~236.4 ㎎/L, T-N 2.123~21.111 ㎎/L, T-P 0.495~2.214 ㎎/L in the orchard areas, and was calculated as BOD 2.3~22.5㎎ /L, COD 4.4~91.1 ㎎/L, SS 4.3~138.3 ㎎/L, T-N 0.700~13.500 ㎎/L, T-P 0.082~1.345 ㎎/L in the transportation areas. The correlation coefficient of determination in the orchard area was investigated in the order of Total Rainfall(0.81) > Total Runoff(0.76) > Rainfall Intensity(0.56) > Rainfall Duration(0.46) > Antecedent Dry Days(0.27). Also, in the case of the transportation area was investigated in the order of Total Rainfall (0.55) > Total Runoff(0.54) > Rainfall Intensity(0.53) > Rainfall Duration(0.24) > Antecedent Dry Days(0.14). As the result, comparing valuables relating to runoff of non-pollutant source between orchard areas and transportation areas, orchard area(R2 ≥ 0.5 : X3, X4, X5) was investigated to have more influence of diverse independent valuables compared to the transportation area(R2 ≥ 0.5 : X3, X4) and the difference of discharge influence factor by the land characteristics appeared apparently.

The present study investigated runoff characteristics of non-point pollutants and discharge load amount according to the land utilization in Yeinam river basin. The land utilization of target basin was divided into paddy field, dry field, forest, residential area and composition area. The study on the runoff characteristics of non-point pollutants by rainfall-runoff process showed that COD, SS and T-P had the first-flushing effect with relatively high concentration in early-stage of the rainfall-runoff process, but the T-P revealed similar runoff characteristics. Event Mean Concentration(EMC) of BOD and COD according to the land utilization revealed the range of 3.11～15.50mg/L and 3.37～33.42mg/L, and the highest concentration of EMC corresponding to BOD and COD was detected in the paddy field. The EMC of SS showed 1.7～305.02mg/L and it's highest concentration was found in the dry field. The EMC of T-N and T-P represented the highest concentration in the paddy field and dry field with range of 0.91～8.76mg/L and 0.02～0.44mg/L.