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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.
Dong-Jin Kim,Kyung-hwa Han,Yong-seon Zhang,Hee-rae Cho,Seon-ah Hwang,Jung-hun Ok,Kum-Sik Choi,Jung-soon Choi 한국토양비료학회 2018 한국토양비료학회지 Vol.51 No.4
Water is closely linked to agricultural productivity and is an essential resource for agriculture. Climate change and drought are causing water scarcity, and that has an enormous impact on agricultural productivity. Efficient water management methods are needed to prepare for water shortages. The lysimeter is well known as a facility for precisely measuring water and nutrient movement in the soil. Therefore, this study was conducted to investigate the evapotranspiration of different paddy soils using weighable lysimeter and to evaluate the relationship between the evapotranspiration estimated by weighable lysimeter and the reference evapotranspiration estimated by FAO Penman-Monteith equation and Hargreaves equation. This study was performed in lysimeter facility located at the National Institute of Agricultural Sciences, Rural Development Administration, and used lysimeter weight values and meteorological data measured from 1st January to 30th April in 2018. The daily evapotranspiration estimated by the lysimeter was ETLY, the reference evapotranspiration estimated by FAO Penman-Monteith equation was ETPM, and the reference evapotranspiration estimated by Hargreaves equation was ETHS. ETLY showed that loam (L) was higher than that of sandy loam(SL) and silty clay loam (SiCL). The accumulated evapotranspiration from 1st January to 30th April in 2018 was in the order of L (235 mm) > SL (231 mm) > SiCL (192 mm). Solar radiation showed a higher coefficient of determination (R<SUP>2</SUP>) than mean temperature in the correlation between the meteorological data and ETLY. The relationship between ETLY and ETHS showed a relatively low coefficient of determination, whereas the coefficient of determination in the relationship between ETLY and ETPM showed relatively high fitness for SiCL (0.631), L (0.860) and SL (0.884). Precise measurement and management of soil moisture using lysimeter are expected to be possible.
토양유실 저감을 위한 지표피복 저감효과 변수 결정 및 SWAT 모형 유역단위 효과 분석
금동혁 ( Dong Hyuk Kum ),장춘화 ( Chun Hwa Jang ),신민환 ( Min Hwan Shin ),최중대 ( Joong Dae Choi ),김범철 ( Bom Chul Kim ),정교철 ( Gyo Cheol Jeong ),원철희 ( Chul Hee Won ),임경재 ( Kyoung Jae Lim ) 한국물환경학회 2012 한국물환경학회지 Vol.28 No.6
The purpose of this study was to determine parameters of surface cover materials and evaluation the effects on runoff and sediment reductions with rice straw mat with PAM at watershed scale using the SWAT model. In this study, 1) regression equation of CN for rice straw mat +PAM using SCS curve number method was developed, 2) the USLE P factor, being able to reflect simulation of rice straw mat+PAM in the agricultural field, was estimated for various slope scenarios with VFSMOD-w. Then regression equation for CN and USLE P factor were used as input data in the SWAT model. Assuming rice straw mat+PAM is applied to radish and potato fields, occupying 24% of agricultural fields at the study watershed. Result of direct runoff without rice straw mat+PAM was 65,964,368 m3, with rice straw mat+PAM, direct runoff was 65,637,336 m3 327,031.8 m3 reductions compared without it. Also, result of sediment without rice straw mat+PAM was 163,531 ton, with rice straw mat+PAM, sediment was 84,779 ton, 78,752 ton reduction compared without it. This analysis showed that about 48% sediment reductions would be expected with rice straw mat+PAM. As shown in this study, rice straw mat+PAM would be used as an efficient site-specific BMPs to reduce runoff and sediment discharge from field.