The APEX model has been developed for assessing agricultural management efforts and their effects on soil and water at the field scale as well as more complex multi-subarea landscapes, whole farms, and watersheds. Recently, a key component of APEX application, named APEX-Paddy, has been modified for simulating water quality by considering paddy rice management practices. In this study, the performance of the APEX-Paddy model was evaluated using field data at Iksan experimental paddy sites in Korea. The discharge and pollutant load data during 2013 and 2014 were used to both manually and automatically calibrate the model. The APEX auto-calibration tool (APEX-CUTE 4.1) was used for model calibration and sensitivity analysis. Results indicate that APEX-Paddy reasonably performs in predicting runoff discharge rate and nitrogen yield. However, sediment and phosphorus yield is not correctly predicted due to the limitation of model schemes. With APEX-Paddy, the performance in reproducing the discharge and nitrogen yield is found to be a satisfactory level after manual calibration. The manually calibrated model performed better than the automatically calibrated model in nearly all comparisons. For runoff, manual calibration reduced PBIAS while R2 and NSE values of the automatically calibrated model were the same as the manual calibration. For T-N, NSE and PBIAS were reduced when using manual calibration, whereas R2 value was the same as manual calibration. The limitation of the APEX-Paddy model for predicting sediment, as well as the phosphorous yield, was discussed in this study.
Assessment of Flood Probability Based on Temporal Distribution of Forecasted-Rainfall in Cheongmicheon Watershed
이현지 Lee Hyunji , 전상민 Jun Sang Min , 황순호 Hwang Soon Ho , 최순군 Choi Soon-kun , 박지훈 Park Jihoon , 강문성 Kang Moon Seong
The objective of this study was to assess the flood probability based on temporal distribution of forecasted-rainfall in Cheongmicheon watershed. In this study, 6-hr rainfalls were disaggregated into hourly rainfall using the Multiplicative Random Cascade (MRC) model, which is a stochastic rainfall time disaggregation model and it was repeated 100 times to make 100 rainfalls for each storm event. The watershed runoff was estimated using the Clark unit hydrograph method with disaggregated rainfall and watershed characteristics. Using the peak discharges of the simulated hydrographs, the probability distribution was determined and parameters were estimated. Using the parameters, the probability density function is shown and the flood probability is calculated by comparing with the design flood of Cheongmicheon watershed. The flood probability results differed for various values of rainfall and rainfall duration. In addition, the flood probability calculated in this study was compared with the actual flood damage in Cheongmicheon watershed (R2 = 0.7). Further, this study results could be used for flood forecasting.
Evaluating Educational Fairness of Commuting Distances for Rural Villages following the Closing of Elementary Schools
Although educational facilities are important considerations from a social equity standpoint, the educational environment generally found in rural areas has been continuously deteriorated due to numerous social problems following birth rate declines and school abolition numbers. The purpose of this study is to evaluate the commuting accessibility changed by the abolition of elementary schools. The village-level accessibility is assessed following physical accessibility criteria based on legally defined commuting distances. Moreover, this study shows the implications of commuting accessibility by school district zones through comparing the minimum commuting distances with real commuting distance. The target area is the Gangwon state, the coverage area in which for schools is the widest in South Korea (44.1 km2/school). We evaluated the commuting distances to the nearest elementary school for 992 rural villages and 74 urban villages. Of the 1,066 villages in urban and rural areas evaluated, most of the villages (about 77%) are exposed to commutes to elementary schools were the marginal distance is over 1,000 meters. The annual rate of increase of commuting distance for 1,066 villages in Gangwon state has steadily increased by 2.8%p since 2000, average commuting distance from 2.8 km to 3.6 km. By the designation of the school districts, elementary school students have to go to a faraway school located within administrative district, even though there is a school nearby. It is expected that the results of this study will be made use of as basic data for the establishment of policies such as a reasonable basis for closing schools measurements considering the locally unique environment.
Analysis of Livestock Nonpoint Source Pollutant Load Ratio for Each Sub-watershed in Sancheong Watershed using HSPF Model
The objective of this study was to assess the livestock nonpoint source pollutant impact on water quality in Namgang dam watershed using the HSPF (Hydrological Simulation Program-Fortran) model. The input data for the HSPF model was established using the landcover, digital elevation, and watershed and river maps. In order to apply the pollutant load to the HSPF model, the delivery load of the livestock nonpoint source in the Namgang dam watershed was calculated and used as a point pollutant input data for the HSPF model. The hydrologic and water quality parameters of HSPF model were calibrated and validated using the observed runoff data from 2007 to 2015 at Sancheong station. The R2 (Determination Coefficient), RMSE (Root Mean Square Error), NSE (Nash-Sutcliffe efficiency coefficient), and RMAE (Relative Mean Absolute Error) were used to evaluate the model performance. The simulation results for annual mean runoff showed that R2 ranged 0.79∼0.81, RMSE 1.91∼2.73 mm/day, NSE 0.7∼0.71 and RMAE 0.37∼0.49 mm/day for daily runoff. The simulation results for annual mean BOD for RMSE ranged 0.99∼1.13 mg/L and RMAE 0.49∼0.55 mg/L, annual mean TN for RMSE ranged 1.65∼1.72 mg/L and RMAE 0.55 mg/L, and annual mean TP for RMSE ranged 0.043∼0.055 mg/L and RMAE 0.552∼0.570 mg/L. As a result of livestock nonpoint pollutant loading simulation for each sub-watersehd using the HSPF model, the BOD ranged 16.6∼163 kg/day, TN ranged 27.5∼337 kg/day, TP ranged 1.22∼14.1 kg/day.
Spatio-Temporal Resolution Analysis based on Landsat/AMSR2 Soil Moisture
이태화 Taehwa Lee , 김상우 Sangwoo Kim , 원명수 Myoungsoo Won , 장근창 Keunchang Jang , 신용철 Yongchul Shin
The purpose of this study is to determine the spatial and temporal resolutions that can represent land surface characteristics comprised of various land use using Landsat/AMSR2-based soil moisture data. We estimated the Landsat (30 m×30 m)-based soil moisture values using the soil moisture regression model. Then, the Landsat (30 m×30 m)-based soil moisture (reference values) were resampled to the relatively coarse resolutions from 1 km to 4 km, respectively. Comparing the reference values to the resampled soil moisture values, we confirmed that uncertainties were increased with the spatial resolutions of 2 km∼4 km indicating that the spatial resolution of 1 km×1 km is required to represent the complicated land surface. Also, the AMSR2 soil moisture values have less uncertainties compared to SMAP data with the temporal resolution of 1∼2 days. Thus, our findings can be useful for various areas such as agriculture, hydrology, forest, etc.
Comparison of Regression Models for Estimating Ventilation Rate of Mechanically Ventilated Swine Farm
조광곤 Jo Gwanggon , 하태환 Ha Taehwan , 윤상후 Yoon Sanghoo , 장유나 Jang Yuna , 정민웅 Jung Minwoong
To estimate the ventilation volume of mechanically ventilated swine farms, various regression models were applied, and errors were compared to select the regression model that can best simulate actual data. Linear regression, linear spline, polynomial regression (degrees 2 and 3), logistic curve, generalized additive model (GAM), and gompertz curve were compared. Overfitting models were excluded even when the error rate was small. The evaluation criteria were root mean square error (RMSE) and mean absolute percentage error (MAPE). The evaluation results indicated that degree 3 exhibited the lowest error rate; however, an overestimation contradiction was observed in a certain section. The logistic curve was the most stable and superior to all the models. In the estimation of ventilation volume by all of the models, the estimated ventilation volume of the logistic curve was the smallest except for the model with a large error rate and the overestimated model.
Development of Wearable Device for Monitoring Working Environment in Pig House
Enclosed pig house are creating an environment with high concentrations of gas and dust. Poor conditions in pig farms reduce pig weight and increase disease and accidents for livestock workers. In the pig house, the high concentration of harmful gas may cause asphyxiation accidents to workers and chronic respiratory disease by long-term exposure. As pig farm workers have been aging and feminized, the damage to the health of the harsh environment is getting serious, and real-time monitoring is needed to prevent the damage. However, most of the measuring devices related to humidity, harmful gas, and fine dust except temperature sensors are exposed to high concentrations of gas and dust inside pig house and are difficult to withstand for a long time. The purpose of this study is to develop an wearable based device to monitor the hazardous environment exposed to workers working in pig farms. Based on the field monitoring and previous researches, the measurement range and basic specifications of the equipment were selected, and wearable based device was designed in terms of utilization, economic efficiency, size and communication performance. Selected H2S and NH3 sensors showed the average error of 5.3% comparing to standard gas concentrations. The measured data can be used to manage the working environment according to the worker’s location and to obtain basic data for work safety warning.
Evaluation and Comparison of Meteorological Drought Index using Multi-satellite Based Precipitation Products in East Asia
문영식 Mun Young-sik , 남원호 Nam Won-ho , 김태곤 Kim Taegon , 홍은미 Hong Eun-mi , 서찬양 Sur Chanyang
East Asia, which includes China, Japan, Korea, and Mongolia, is highly impacted by hydroclimate extremes such drought, flood, and typhoon recent year. In 2017, more than 18.5 million hectares of crops have been damaged in China, and Korea has suffered economic losses as a result of severe drought. Satellite-derived rainfall products are becoming more accurate as space and time resolution become increasingly higher, and provide an alternative means of estimating ground-based rainfall. In this study, we verified the availability of rainfall products by comparing widely used satellite images such as Climate Hazards Groups InfraRed Precipitation with Station (CHIRPS), Global Precipitation Climatology Centre (GPCC), and Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) with ground stations in East Asia. Also, the satellite-based rainfall products were used to calculate the Standardized Precipitation Index (SPI). The temporal resolution is based on monthly images and compared with the past 30 years data from 1989 to 2018. The comparison between rainfall data based on each satellite image products and the data from weather station-based weather data was shown by the coefficient of determination and showed more than 0.9. Each satellite-based rainfall data was used for each grid and applied to East Asia and South Korea. As a result of SPI analysis, the RMSE values of CHIRPS were 0.57, 0.53 and 0.47, and the MAE values of 0.46, 0.43 and 0.37 were better than other satellite products. This satellite-derived rainfall estimates offers important advantages in terms of spatial coverage, timeliness and cost efficiency compared to analysis for drought assessment with ground stations.
Estimation of Characteristic of the Soil Physical using the Pipe Type Soil Sampler
유지현 Ryu Ji Hyun , 정명관 Jung Myung Kwan , 박승기 Park Seung Ki
The purpose of this study is to develop a pipe type soil sampler that can easily collect soil cross section servey and soil samples to conduct ecological environment surveys while minimizing ecological disturbance in the area subject to soil survey.
Furthermore, this study develop the exponential type estimation specific weight formula (ESWF) that uses pipe type soil sampler to easily carry out soil cross section survey and soil sample while estimating the specific weight of the area using water content and soil sample length variation ratio (SLVRs) and to obtain apparent specific gravity, hardness, and max. porosity which are used as growth of corps and ecological environment index. The calibration results of ESWF showed a high degree of significance, with NSE for actual specific weight (γ0) and calibration estimation specific weight (γec) 0.95, R2 for 0.954, and RMSE for 0.051. The verification results of ESWF showed a high significance, with NSE for actual specific weight (γ0) and verification estimation specific weight (γev) 0.881, R2 for 0.978, and RMSE for 0.055.
Monitoring of Internal Harmful Factors According to Environmental Factors in Pig Farm
이성원 Lee Seong-won , 김효철 Kim Hyo-cher , 서일환 Seo Il-hwan
With the decrease of the agricultural population in Korea, the workers who is vulnerable to labor are increasing in agricultural industry because of aging, feminization of population. They are exposed in poor working environment with higher temperature and concentrations of dust, gas. Higher concentration of harmful gas and dust can cause chronic and acute disease to workers depending on exposure intensity and frequency. In order to improve the working environment in the livestock facilities, It is important to secure monitoring data of the thermal environment and the concentration of harmful gases and fine dust. Multi-point measurement was performed to analyze the regional environmental conditions in the pig rooms. When analyzing the working environment, video monitoring was conducted to analyze the concentration changes of ammonia, hydrogen sulfide and fine dust according to worker movement and work type. Ammonia and hydrogen sulfide monitoring result showed 1.5∼2 times higher concentrations than other work when working in the pigs living zone, and 2∼4 times higher than other work when working to increase the activity of pigs. In the case of fine dust, the result was 1.3 times higher than the worker’s exposure standard in a specific work. The concentrations of gases and dusts from pig farms are not of concern for acute poisoning in normal work, but there is a risk of chronic respiratory disease if they are continuously exposed. Accordingly, there is a need for development of work environment monitoring device tailored to workers and preparation of alternatives.
Characteristics of Uplift Capacity of House Pipe Foundation according to Foundation Types and Soil Conditions
송창섭 Song Changseob , 장웅희 Jang Unghee , 최득호 Choi Dookho , 김정철 Kim Jungchul
The area of facility horticulture in Korea is increasing rapidly, the single-span pipe house which uses galvanized steel pipe as the main rafters occupies 78.7% of the facility area. Lightweight structures such as the single-span pipe house are vulnerable to meteorological disasters such as strong winds, economic losses of the state, local governments and farmers are continuing as construction does not meet the design standards. In order to minimize economic losses in the horticultural specialty facilities sector, the Rural Development Administration has been operating the horticultural disaster resilient standard for horticultural specialty facilities since April 2007. The only standard for the pipe connector is the disaster resilient standard, there is no standard for the uplift capacity of the house pipe foundation and the research on it is also insufficient. The purpose of this study is to investigate the characteristics of uplift capacity according to the foundation type, compaction ratio and embedded depth through soil box test. The results of the maximum uplift capacity according to the type, compaction ratio and embedded depth can be used as the basic data for the basic design of the pipe house conforming to the disaster resilient standard. Due to the limitation of soil box test, it may be different from the behavior of pipe house installed on site. In the future, the field test and the actual pipe house should be made and supplemented by comparing this result with the field test values.
