발생부하원단위와 수치표고모형을 이용한 하천유역 오염부하량 산정

양홍모,김혁,Yang, Hong-Mo,Kim, Hyuk 한국조경학회 2001 韓國造景學會誌 Vol.29 No.1

The purpose of this study is to compare calculated pollutant loadings using pollutant load unit factors and vector type coverage, and expected mean concentration(EMC) and raster type of digital elevation model(DEM). This study is also focusing on comparison of the advantages and the disadvantages of the two methods, and seeking for a method of calculation of pollutant loadings using DEM. Estimation of pollutant inputs using pollutant load unit factors has limitations in identifying seasonal variations of pollutant loadings. Seasonal changes of runoffs should be considered in the calculation of pollutant loadings from catchments into reservoirs. Evaluation of pollutant inputs using runoff-coefficient and EMC can overcome these drawbacks. Proper EMC and runoff-coefficient values for the Koeup stream catchments of the Koheung estuarine lake were drawn from review of related papers. Arc/Info was employed to establish database of spatial and attribute data of point and non-point pollutant sources and characteristics of the catchments. ArcView was used to calculate point and non-point pollutant loadings. Pollutant loads estimated with either unit factors-coverages, i.e., pollutant load unit factors and vector coverages f point sources and land use, or EMC and digital elevation mode(DEM) were compared with stream monitoring loads. We have found that some differences were shown between monitoring results and estimated loads by Unit Factors-Coverage and EMC-DEM. Monthly variations of pollutant loads evaluated with EMC-DEM were similar to those with monitoring result. The method using EMC-DEM can calculate accumulated flows and pollutant loads and can be utilized to identify stream networks. A future research on correcting the difference between vector type stream using flow direction grid and digitalizing vector type should be conducted in order to obtain more exact calculation of pollutant loadings.

청양-홍성간 도로에서의 초기강우에 의한 유출부하량 평가 및 기여율 산정

이춘원,강선홍,최이송,안태웅 대한상하수도학회 2011 상하수도학회지 Vol.25 No.3

Nowadays, the high land use, mainly used for urbanization, is affecting runoff loads of non-point pollutants to increase. According to this fact, increasing runoff loads seems like to appear that it contributes to high ratio of pollution loads in the whole the pollution loads and that this non-point source is the main cause of water becoming worse quality. Especially, concentrated pollutants on the impermeable roads run off to the public water bodies. Also the coefficient of runoff from roads is high with a fast velocity of runoff, which ends up with consequence that a lot of pollutants runoff happens when it is raining. Therefore it is very important project to evaluate the quantity of pollutant loads. In this study, I computed the pollutant loadings depending on time and rainfall to analyze characteristics of runoff while first flush storm water and evaluated the runoff time while first flush storm water and rainfall based on the change in curves on the graph. I also computed contribution ratio to identify its impact on water quality of stream. I realized that the management and treatment of first flush storm water effluents is very important for the management of road's non-point source pollutants because runoff loads of non-point source pollution are over the 80% of whole loads of stream. Also according to the evaluation of runoff loads of first flush storm water for SS, run off time was shown under the 30 minute and rainfall was shown under the 5mm which is less than 20% of whole rainfall. These are under 5mm which is regarded amount of first flush storm water by the Ministry of Environment and it is judged to be because run off by rainfall is very fast on impermeable roads. Also, run off time and rainfall of BOD is higher than SS. Therefore I realized that the management of non-point source should be managed and done differently depending on each material. Finally, the contribution ratio of pollutants loads by rainfall-runoff was shown SS 12.7%, BOD 12.7%, COD 15.9%, T-N 4.9%, T-P 8.9%, however, the pollutants loads flowing into the steam was shown 4.4%. This represents that the concentration of non-point pollutants is relatively higher and we should find the methodical management and should be concerned about non-point source for improvement on water quality of streams.

L THIA 2012 유출 및 수질 자동 보정 모듈을 이용한 유출/비점부하량 산정 및 비점오염 부하량 포텐셜 등급화

장춘화 ( Chun Hwa Jang ),금동혁 ( Dong Hyuk Kum ),하준수 ( Jun Soo Ha ),김경순 ( Kyong Soon Kim ),강동한 ( Dong Han Kang ),김극태 ( Keuk Tai Kim ),신동석 ( Dong Suk Shin ),임경재 ( Kyoung Jae Lim ) 한국물환경학회 2013 한국물환경학회지 Vol.29 No.2

Urbanization from agricultural/ forest areas has been causing increased runoff and pollutant loads from it. Thus, numerous models have been developed to estimate NPS loading from urban area and Long Term Hydrologic Impact Analysis L THIA model has been used to evaluate effects of landuse changes on runoff and pollutant loads. However, the L THIA model could not consider rainfall intensity in runoff evaluation. There fore, the L THIA model, capable of simulating runoff using 10 minute rainfall data, was applied to the study areas for evaluation of estimated runoff and NPS. The estimated Nash Sutcliffe coefficient NSE values were over 0.6 for runoff, BOD, TN, and TP for most sites and watershed. The calibrated model was further extended to other counties for pollutant load potential evaluation. Pollutant load potential maps were developed and target areas were identified. As shown in this study, the L THIA 2012 can be used for evaluation runoff and pollutant loads with limited data sets and its estimation could be used in identifying pollutant load hot spot areas for implementation of site specific Best Management Practices.

고속도로 노면 강우유출 오염부하 원단위 산정

강희만,이두진,배우근 대한상하수도학회 2012 상하수도학회지 Vol.26 No.1

Impervious surface increase due to urbanization, one of the leading causes of pavement increased the runoff coefficient, peak flow,and reducing the infiltration flow and thereby causing flooding and river erosion is occurring in aquatic ecosystems are known to impair. This study aimed to classify use type of detailed land into the road, reststop, tollgates and etc. focused on major domestic highways, to understand the characteristics of rainfall runoff pollutants and to calculate applicable unit pollution load. Because of high runoff coefficient and short travel time to drainage. first flush occurred clearly. Average EMCs of runoff in the highway was investigated as TSS 108.47 ㎎ / L, COD 28.16 ㎎ / L, BOD 13.61 ㎎ / L, TN 6.38 ㎎ / L, TP 0.03 ㎎ / L, Cu 118.17 ㎍ / L, Pb 345.3 ㎍ / L, Zn 349.47 ㎍ / L. Unit pollution loads calculated by detailed land use area of highways based on average annual rainfall, EMCs, applicable basin areas and etc. were 46.6 kg/km2/day of BOD, 1.4 kg/km2/day of TP, 8.81 kg / km2/day of TN and these were BOD 50.8%, TP 66.7%,TN 64.4%in comparison of the unit pollution loads which applies fallow land standards of the TMDL(Total Maximum Daily Load). It was considered that discharged loads can be excessively calculated in case highway non-point management plans based on unit pollution load of the current land standard. Impervious surface increase due to urbanization, one of the leading causes of pavement increased the runoff coefficient, peak flow,and reducing the infiltration flow and thereby causing flooding and river erosion is occurring in aquatic ecosystems are known to impair. This study aimed to classify use type of detailed land into the road, reststop, tollgates and etc. focused on major domestic highways, to understand the characteristics of rainfall runoff pollutants and to calculate applicable unit pollution load. Because of high runoff coefficient and short travel time to drainage. first flush occurred clearly. Average EMCs of runoff in the highway was investigated as TSS 108.47 ㎎ / L, COD 28.16 ㎎ / L, BOD 13.61 ㎎ / L, TN 6.38 ㎎ / L, TP 0.03 ㎎ / L, Cu 118.17 ㎍ / L, Pb 345.3 ㎍ / L, Zn 349.47 ㎍ / L. Unit pollution loads calculated by detailed land use area of highways based on average annual rainfall, EMCs, applicable basin areas and etc. were 46.6 kg/km2/day of BOD, 1.4 kg/km2/day of TP, 8.81 kg / km2/day of TN and these were BOD 50.8%, TP 66.7%,TN 64.4%in comparison of the unit pollution loads which applies fallow land standards of the TMDL(Total Maximum Daily Load). It was considered that discharged loads can be excessively calculated in case highway non-point management plans based on unit pollution load of the current land standard.

하천유역에서의 기저유출 분석을 통한 총질소 하천오염부하량 연구

최윤호 ( Youn Ho Choi ),금동혁 ( Dong Huyk Kum ),류지철 ( Ji Chul Ryu ),정영훈 ( Young Hun Jung ),김용석 ( Yong Seok Kim ),전지홍 ( Ji Hong Jeon ),김기성 ( Ki Sung Kim ),임경재 ( Kyoung Jae Lim ) 한국물환경학회 2015 한국물환경학회지 Vol.31 No.1

It has been well known that it is not easy to quantify pollutant loads driven by non-point source pollution due to various factors affecting generation and transport mechanism of it. Especially pollutant loads through baseflow have been investigated by limited number of researchers. Thus in this study, the Web-based WAPLE (WHAT-Pollutant Load Estimation) system was developed and applied at study watersheds to quantify baseflow contribution of pollutant. In YbB watershed, baseflow contribution with WWTP discharge is responsible for 49.5% of total pollutant loads at the watershed. Among these, pollutant loads through baseflow (excluding any WWTP discharge) is responsible for 61.7% of it. In GbA watershed, it was found that 58.4% is contributed by baseflow with WWTP discharge 2.9% and 97.1% is by baseflow. For NbB watershed (without WWTP discharge), 52.3% of pollutant load is transported through baseflow. As shown in this study, it was found that over 50.0% of TN (Total Nitrogen) pollutant loads are contributed by non-direct runoff. Thus pollutant loads contributed by baseflow and WWTP discharge as well as direct runoff contribution should be quantified to develop and implement watershed-specific Best Management Practices during dry period.

유구천 유역 오염원의 최적 할당

송해종,이창균,임봉수 대전대학교 환경문제연구소 2006 환경문제연구소 논문집 Vol.10 No.-

The aim of this study is to allocate the amount of discharging pollution loads according to the main pollutants such as population, livestock, soil, industrial facilities of Yugu basin which is a branch of Geumriver. Also, the object area was divided into 22 small subbasin sectors to assess the loading amount and applicate the water quality model. The considering items to forecast the water quality were restricted BOD, TN and TP which had affluent data relatively. And only BOD data was used to calculate unit loading amount of the basin and arrangement of optimum pollution load. As a calculating result for the amount of discharged pollution load based on the pollution sources and data, the loading amount and density of the basin became the highest after joining of Yugu and Magok. And the results of the expected loading amount indicated the increase rate of load occurrence was less than average ±1.5% per year for BOD, TN and TP. So, it was known that factors such as population, livestock and industrial transformation kept up as present. The flow running rate for the small drainage sector by the running load amount was highly analyzed TP, BOD and TN in order. And the running load amount was high in case small basin and short running length. Also, BOD contribution rate was large as near the length for the end point of the stream and high pollution influx. The running load amount was 629.85kg/d and permission load amount was 483.03kg/d at the end of Yugu basin. Therefore, it is considered that the amount is to reduce 146.82kg/d and reduction load amount by the region on establishing the sewage treatment facilities was expected 185.07kg/d for Yugu, 22.21kg/d Shinpoong, 25.91kg/d Sagok, 20.26kg/d Woosung and 255.40kg/d after total same time reduction. So, it is concluded that the arrangement of optimum load amount for reduction is proper to Yugu, Sagok, Shinpoong and Woosung orderly.

마산만 특별관리해역의 수질오염총량계획에 반영된 부하량 할당 특성 및 한계

이창희(Lee Chang-hee),장원근(Jang Won-geun),고성훈(Go Sung-hoon),남정호(Nam Jung-ho) 한국해양수산개발원 2009 해양정책연구 Vol.24 No.2

The first phase of total pollutant load management system (TPLMS) was implemented in the Masan Bay Special Management Area. This study aims to draw the successful factors contributed to facilitate the conflicts and the constraints particularly experienced in the load allocation of TPLMS planning process. Analyses showed that establishment of an affordable water quality target was the most critical because it enabled local governments to allocate the loads which could support for reasonable developments as well as to relieve their load reduction burden. As a local coordinating and facilitating framework, the Masan Bay Advisory Committee and Masan Bay Technical Advisory Task Force also played significant role to make an agreement on the water quality target and to facilitate the conflicts in the load allocation process. However, it appeared that some technical and institutional constraints should be properly addressed to prepare the second-phase TPLMS. The constraints may include the uncertainties which are involved in developing a water quality target, and the hardly applicable load-allocation system to the individual discharge facilities which is not supported by the national effluent permit system. Some improvement strategies and measures such as an establishment of load-based relative management target instead of the quantitative water quality target and introduction of permit-based load allocation system were suggested to overcome the constraints.

광양만 유역 오염원 및 오염부하량 경년 변동

이대인(Dae In Lee),조현서(Hyeon Seo Cho),조천래(Chon Rae Cho),이정훈(Jeong Hoon Lee),강조해(Jo Hae Kang),최민호(Min Ho Choi),김도희(Do Hee Kim),윤진숙(Jin Suk Yoon) 한국해양환경·에너지학회 2004 한국해양환경공학회 학술대회논문집 Vol.2004 No.-

Temporal and spatial characteristics of pollutant loads from the various pollution sources in Kwangyang Bay were evaluated. Total discharging loadings of BOD, TN, and TP by unit loading estimation were 11,524㎏/day, 11,536㎏/day, and 827㎏/day, respectively, and were mainly affected by the industrial and population sources. The Yeosu and Kwangyang cities as administrative district had the highest pollutant loads. Flow rate ranges from about 30-4,406,400㎡/day in December to 240-35,337,600㎡/day in August with a flow rate of PS27(the Seomjin River} as the highest one. Total COD, TN, and TP loadings in August were about 89,915㎏/day, 2,077,845㎏/day, and 50,123㎏/day, respectively, which exceeded those of December. Especially, of input sources, the Seomjin river had the most pollutant loads. Wastewater discharging loads from the water treatment facilities was the greatest contributors to pollutant loads in the inner part of Kwangyang Bay. Point sources located in south-western part of the bay showed high concentration in heavey metals distribution. Seasonal variations of pollutant loads were related to the changes of flow rate, those were increased rapidly on August, 2004. For the improvement of water quality in this area, pollutant loads were reduced within the limits of the environmental capacity.

유구천 유역 오염원의 최적 할당

송해종(Hae-Jong Song),이창균(Chang-Gyun Lee),임봉수(Bong-Su Lim) 대전대학교 환경문제연구소 2006 환경문제연구소 논문집 Vol.10 No.-

The aim of this study is to allocate the amount of discharging pollution loads according to the main pollutants such as population, livestock, soil, industrial facilities of Yugu basin which is a branch of Geumriver. Also, the object area was divided into 22 small subbasin sectors to assess the loading amount and applicate the water quality model. The considering items to forecast the water quality were restricted BOD, TN and TP which had affluent data relatively. And only BOD data was used to calculate unit loading amount of the basin and arrangement of optimum pollution load. As a calculating result for the amount of discharged pollution load based on the pollution sources and data, the loading amount and density of the basin became the highest after joining of Yugu and Magok. And the results of the expected loading amount indicated the increase rate of load occurrence was less than average ±1.5% per year for BOD, TN and TP. So, it was known that factors such as population, livestock and industrial transformation kept up as present. The flow running rate for the small drainage sector by the running load amount was highly analyzed TP, BOD and TN in order. And the running load amount was high in case small basin and short running length. Also, BOD contribution rate was large as near the length for the end point of the stream and high pollution influx. The running load amount was 629.85kg/d and permission load amount was 483.03kg/d at the end of Yugu basin. Therefore, it is considered that the amount is to reduce 146.82kg/d and reduction load amount by the region on establishing the sewage treatment facilities was expected 185.07kg/d for Yugu, 22.21kg/d Shinpoong, 25.91kg/d Sagok, 20.26kg/d Woosung and 255.40kg/d after total same time reduction. So, it is concluded that the arrangement of optimum load amount for reduction is proper to Yugu, Sagok, Shinpoong and Woosung orderly.

Characteristics of Pollutant Loads and Water Quality in Kwangyang Bay, Korea

Lee Dae-In,Park Chung-Kil,Cho Hyeon-Seo The Korean Society of Fisheries and Aquatic Scienc 2003 Fisheries and Aquatic Sciences Vol.6 No.3

The characteristics of pollutant loads from the various sources and seawater quality in Kwangyang Bay were evaluated. Total flow rate was estimated to be $10,868,066.8 m^3/day$ with a flow rate of R2l (the Seomjin River) as the highest one. Total COD, TN and TP loads of the input rivers and the ditches were about 27,591.8, 25,029.6 and 586.4 kg/day, respectively. Wastewater discharging loads was the greatest contributors to pollutant loads in the inner part of Kwangyang Bay. COD values in the inner part of the bay was over 3.0 mg/L, which exceeded the seawater quality criteria III of Korea. The average values of DIN and DIP were 8.62 ${\mu}gN/L\;and\;1.26\;{\mu}gP/L$, respectively. The limiting factor for algal growth was DIN. In he total discharging loads of the watershed from unit loading estimations, BOD, TN and TP were 9,132.3, 2,727.2 and 304.2 kg/day, respectively. In addition, municipal sewage by the population as pollution sources and the city of Kwangyang as administrative district had the highest loads. For a appropriate water quality recovery of Kwangyang Bay, it is suggested that it is essential to estimate reduction rate of total pollutant loads by water quality modeling.