• Magazine of the Korean Society of Agricultural Engineers
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• v.38 no.3
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• pp.92-100
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• 1996

In order to control the water quality in rivers or lakes, it is needed to evaluate accurate amount of pollutant loadings from watersheds. The daily pollutant loadings were simulated using the pollutant loading calculation model which was composed of mathematical equations superimposed on the TANK model. The calibration of runoff and pollutant loading parameters were carried out with observed data, using a trial-and-error method. In addition, the proposed model was applied to evaluate its applicability for the representative watershed, the Bokha river watershed, Icheon city, Korea. The parameters of SS and T-P showed large values in the first tank while T-N showed large in the second tank. As a result of simulating the daily pollutant loadings by the pollutant loading calculation model, all of SS, T-N and T-P loadings were increased or decreased according to the amount of runoff discharge. Especially, it was apparent that SS and T-P loadings were significantly influenced by the runoff variation when it was rain. These results could partly explain that SS and T-P would occur mainly from the surface runoff while T-N would occur from both surface and subsurface flow.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.1
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• pp.17-29
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• 2013

Long-Term Hydrologic Impact Assessment (L-THIA) model which is a distributed watershed model was applied to analyze the spatial distribution of surface runoff and nonpoint source pollutant loading from Imha watershed during 2001~2010. L-THIA CN Calibration Tool linked with SCE-UA was developed to calibrate surface runoff automatically. Calibration (2001~2005) and validation (2006~2010) of monthly surface runoff were represented as 'very good' model performance showing 0.91 for calibration and 0.89 for validation as Nash-Sutcliffe (NS) values. Average annual surface runoff from Imha watershed was 218.4 mm and Banbyun subwatershed was much more than other watersheds due to poor hydrologic condition. Average annual nonpoint source pollutant loading from Imha wateshed were 2,295 ton/year for $BOD_5$, 14,752 ton/year for SS, 358 ton/year for T-N, and 79 ton/year for T-P. Amount of pollutant loading and pollutant loading rates from Banbyun watershed were much higher than other watersheds. As results of analysis of loading rate from grid size ($30m{\times}30m$), most of high 10 % of loading rate were generated from upland. Therefore, major hot spot area to manage nonpoint source pollution in Imha watershed is the combination of upland and Banbyun subwatershed. L-THIA model is easy to use and prepare input file and useful tool to manage nonpoint source pollution at screening level.

• Journal of Korean Society on Water Environment
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• v.27 no.3
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• pp.257-263
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• 2011

This study analyzes the correlations between non-point sources and runoff to estimate non-point sources for effective management. From the monitoring results, the correlation factors among pollutant mass loading, EMC, total runoff volume and average flow are calculated. And using correlation factors, the most related two constituents are determined. Also the most appropriate regression between two constituents are determined. Pollutant mass loading and total runoff volume has the highest correlation. Also, compound regression is found to be the most appropriate regression. This shows that pollutant mass loading increases as total runoff volume increases. It is not continuous increase but has some pattern.

• Journal of Environmental Science International
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• v.24 no.2
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• pp.221-228
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• 2015

In this research traditional Buddhist dietary life style was studied as an alternative for both saving water and decreasing water pollution from household. A traditional dietary life style for the Buddhist monks, called Balwoo Gongyang, and its modernized one for citizens, called Dish Gongyang were examined with water use amount, wastewater quality and pollutant loading rate, and were compared with the kitchen wastewater from household. And several types of natural detergent were also examined to compare their effect on the wastewater quality and pollutant loading rate. This research was carried out using the wastewater from Balwoo and Dish Gongyang in J building located in Seoul. Wastewater generation from Balwoo Gongyang that was about $1.0{\ell}$/capita/day was very low compare to that from dish washing in normal household($32.6{\ell}$/capita/day). In case of Dish Gongyang, water generation was 1.8 times higher than that from Balwoo Gongyang, but it was just 1/19.2 of normal household. When the wastewater quality of Balwoo Gongyang was compared with the kitchen wastewater of normal household, SS was 1/16($15mg/{\ell}$), COD was 1/7($22.1mg/{\ell}$), BOD was 1/9($24.1mg/{\ell}$) and T-N was 1/16($1.7mg/{\ell}$). Pollutant loading rate from Balwoo Gongyang was very low, COD 18.0 mg/capita/day, SS 12.3 mg/capita/day and it was 1/290, 1/639 of that from dish washing wastewater from normal household, respectively. Pollutant loading rate from Dish Gongyang was also low 1/13(SS)~1/144(TN) compared to dish washing wastewater from normal household. As a natural detergent, used water from washing rice showed very low pollutant loading rate. It was concluded that Dish Gongyang that was a modernized and simplified dietary life style of Balwoo Gongyang, was very eco-friendly. Especially when it was combined with natural detergents using by-product from cooking process, its effect on the water pollution was very low.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.689-694
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• 1999

This study estimated average yearly watershed pollutant loading by using SWMM(Storm Water Management Model) which is one of the nonpoint source quality models. Two sites were measured discharge and water quality at dry period and wet period. The rainfall data is used from 1989 to 1998 . During a decade, the average year watershed pollutant loading, which is SS, BOD5 , TN, TP, were 2.39E+06kg, 0.92E +05kg, 2.53E+05kg, 2.66E+04kg respectively. During dry period, SS, BOD5 TN, TP loadings were 1.89E+05kg, 1.7E+05kg, 1.04E+05kg, 1.11E+04kg, and during wet period 1.89E+05kg, 1.17E+05kg, 1.04E+05kg, 1.11E+04kg respectively so wet period loading are more than dry day loadings.

• Journal of Environmental Health Sciences
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• v.22 no.1
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• pp.5-11
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• 1996

The more accurate estimation of the pollutant loadings from nonpoint source is needed to evaluate water quality of water resources such as river and reservoir. Therefore this study was performed to grasp the scale and characteristics of pollutant. In this study, STORM model was applied to I-cheon district to estimate runoff and pollutant loading of SS, BOD, T-N and $PO_4-P$. The results estimated by STORM model were fitted well to surveyed water quality in flow, SS and BOD. The annual loadings were estimated to be 36,463 kg/$km^3$/yr of SS, 8,090 kg/$km^3$/yr of BOD, 4,435 kg/$km^3$/yr of T-N and 358 kg/$km^3$/yr of $PO_4-P$. It was also found that the monthly pollutant loadings of SS, BOD, $PO_4-P$ were greatest in May and T-N in April.

• Journal of Korean Society on Water Environment
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• v.23 no.1
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• pp.161-168
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• 2007

The main aim of this work is focus on the Geum river water quality evaluation of pollution data obtained by monitoring measurement during the period 2001-2005. The complex data matrix 19 (entire monitoring stations)*13 (parameters), 60 (month)*13 (parameters) and 20 (season)*13 (parameters) were treated with different multivariate techniques such as factor analysis/principal component analysis (FA/PCA). FA/PCA identified two factor (19*13) classified pollutant Loading factor (BOD, COD, pH, Cond, T-N, T-P, $NH_3$-N, $NO_3$-N, $PO_4$-P, Chl-a), seasonal factor (water temp, SS) and three Factor (60*13, 20*13) classified pollutant Loading factor (BOD, COD, Cond, T-N, T-P, $NH_3$-N, $NO_3$-N, $PO_4$-P), seasonal factor (water temp, SS) and metabolic factor (Chl-a, pH). Loadings of pollutant factor is potent influence main factor in the Geum river which is explained by loadings of pollutant factor at whole sampling stations (71.16%), month (52.75%) and season (56.57%) of main water quality stations. Result of this study is that pollutant loading factor is affected at Gongju 1, 2, Buyeo 1, 2, Gangkyeong, Yeongi stations by entire stations and entire month (Gongju 1, Cheongwon stations), April, May, July and August (buyeo 1) by month. Also the pollutant Loading factor is season gives an influence in winter (Gongju 1, buyeo 1) from main sampling stations, but Cheongwon characteristic is non-seasonal influenced. This study presents necessity and usefulness of multivariate statistic techniques for evaluation and interpretation of large complex data set with a view to get better information data effective management of water sources.

• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.2
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• pp.61-74
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• 2007

A mathematical modeling program called Hydrological Simulation Program-FORTRAN (HSPF) developed by the United States Environmental Protection Agency (EPA) was applied to Hwaseong watershed. It was run under BASINS (Better Assessment Science for Integrating Point and Nonpoint Sources) program, and the model was validated using monitoring data of $2002{\sim}2005$. The model efficiency of runoff ranged from good to fair in comparison between simulated and observed data, while it was from very good to poor in the water quality parameters. But its reliability and performance were within the expectation considering complexity of the watershed and pollutant sources. The nonpoint source (NPS) loading for T-N and T-P during the monsoon rainy season (June to September) was about 80% of total NPS loading, and runoff volume was also in a similar range. However, NPS loading for BOD ($55{\sim}60%$) didn't depend on rainfall because BOD was mostly discharged from point source (more than 70%). And water quality was not necessarily high during the rainy season, and showed a decreasing trend with increasing water flow. BASINS/HSPF was applied to the Hwaseong watershed successfully without difficulty, and it was found that the model could be used conveniently to assess watershed characteristics and to estimate pollutant loading including point and nonpoint sources in watershed scale.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.552-557
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• 1998

Sampling schemes are intended for use in situations where stream-flow data are collected regularly, but concentration data are collected during only a limited number of time periods. Estimating water pollutant loading considering sampling intervals is presented, and for illustrative purposes the criterion is applied to the sampling station HS#3 of the Balan-reservoir watershed which is located at the southwest of Suwon. The stratification is employed uniformly for all sampling strategies in that the strata boundaries are defined using the actual distribution of flow values and the selected nonexceedence probabilities to minimize inaccuracy. Ratio estimator for SS, T-N, and T-P were used in order to calculate the water pollutant loading. A sampling scheme incorporating stratified sampling with real-time of the sampling characteristics is found to give the appropriate estimate of the mass load.

• Magazine of the Korean Society of Agricultural Engineers
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• v.43 no.1
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• pp.66-74
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• 2001

Pollutant loading potential was evaluated for manure application practices on farm fields, through survey and pot experiments. The survey indicated that most farmers applied the manure during the early spring. About 74% farmers apply the manure during the period from December to May. Considering the monthly rainfall amount in this period, the pollutant loading potential is not high. Leachate obtained from pot piled up with manure compost, using a rainfall simulator, showed that average concentrations of COD, SS, TKN, N $O_{3-}$N, TP were up to 2,000mg/L, 240mg/L, 107mg/L, 10mg/L, 50mg/L, respectively. These concentrations could be affected by rainfall intensity and the amount of piled manure compost. Therefore, implementation of management practices are recommended to control or minimize of leachate from manure compost piled on farm field.