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비가림 조건에서 시비에 대한 논담수 중 총질소 및 총인 농도 반응
정재운,최우정,윤광식,김한용,곽진협,임상선,장남익,허유정,Jung, Jae-Woon,Choi, Woo-Jung,Yoon, Kwang-Sik,Kim, Han-Yong,Kwak, Jin-Hyeob,Lim, Sang-Sun,Chang, Nam-Ik,Huh, Yu-Jeong 한국관개배수위원회 2007 한국관개배수논문집 Vol.14 No.1
Temporal changes in total nitrogen (T-N) and phosphorus (T-P) concentrations in paddy floodwater in response to fertilization under rain-shielding pot and small-scaled field conditions were investigated. On the basis of the changing patterns, suggestions for the use of fertilization factors, such as days after fertilization, in developing models for the estimation of T-N and T-P loads from paddy fields were made. Total N concentration was susceptible to fertilization, showing a peak concentration right after fertilization followed by a decreasing pattern with the elapse of days after fertilization. The decreasing pattern of T-N concentration followed the first- order kinetics, indicating that the models are likely to be an exponential equation using days after fertilization as an independent variable. Comparison between the pot and field experiments conducted with soils different in soil fertility revealed that indigenous soil N concentration significantly affected T-N concentration, and this suggests that soil N status can be used as the second variable for the models. Meanwhile, temporal changes in T-P concentration did not respond to P fertilization as sensitively as T-N. In combination with other published results, our study suggests that rainfall intensity and other factors associated with farming activities that are likely to cause disturbance of soil particles containing P may be used as possible variables for the models.
영산강.섬진강 유역을 대상으로 한 논 오염부하 산정 단순회귀모형 적용
최우정,곽진협,정재운,윤광식,장남익,허유정,Choi, Woo-Jung,Kwak, Jin-Hyeob,Jung, Jae-Woon,Yoon, Kwang-Sik,Chang, Nam-Ik,Huh, Yu-Jeong 한국농공학회 2007 한국농공학회논문집 Vol.49 No.1
Simple regression models for pollutants load estimation of paddy developed by the Ministry of Environment in 1995 were tested with the data (T-N, T-P, $COD_{Mn}$, and SS) collected from Yeongsan and Seomjin river watersheds, and improvement measures were suggested. Overall, the simulated values showed a great difference from the measured values except for T-P according to the statistical analyses (RMSE, root mean square error; RMAE, root mean absolute error; RB, relative bias; EI, efficiency index). Such difference was assumed due to the fact that the models use only hydrologic factors (quantity factor) associated with precipitation and run-off as input parameters, but do not consider other factors which are likely to affect pollutant concentration (quality factor) including days after fertilization. In addition, in terms of accessibility of the models, some parameters in the models such as run-off depth and run-off amount which can not be obtained from the weather database but should be collected by on-site measurements need to be replaced with other variables.