The empty houses’ problem is important in the local revitalization and local sustainability, and these phenomenon caused by various factors of the region. The population and housing census data are the most effective data available to study this phenomenon by small regions. In this study, logistic regression and multiple regression analysis were performed to understand the effects of population, household, and housing characteristics on empty houses using population and housing census data. Also, the scale and direction of the effect of each characteristic in large cities, small cities, and rural areas were compared. As results, there was a slight difference between cities and province regions in the district and housing characteristic variables. In the comparison of Eup-Myeon-Dong, the affected variables were different in the Dong and Myeon areas. The significance of this study is to examine the effect of the characteristics of population and housing on the vacant houses and to confirm that the factors affecting different regions.
Analysis of Water Quality Fluctuations in Upstream Namhan River Watershed Using Long-term Statistical Analysis
변상돈 Byeon Sang-don , 노연정 Noh Yeon-jung , 임경재 Lim Kyeong-jae , 김종건 Kim Jong-gun , 김동진 Kim Dong-jin , 홍은미 Hong Eun-mi
There are fifteen non-point pollution management areas in Korea and three of them (Doam lake, Daegi district and Golji-cheon) are located in the upstream of the Namhan river watershed. Many efforts to reduce non-point sources (NPS) pollution have been conducted, however, water quality pollution in the watershed is still serious. To solve these problems, it is a priority to grasp water quality using statistical techniques. In this study, a trend analysis was conducted to evaluate the effect of NPS management in the watershed. The long-term trends from 1996 to 2018 of water quality properties were analyzed using data collected from the water environment information system. Seventeen monitoring stations were selected along the main stream in Namhan river basin. Monthly water quality properties (BOD, COD, TN, TP, TN/TP ratio, Conductivity, SS and Chlorophyll-a) were collected and analyzed by Mann-Kendall test and LOWESS. The results showed that the Conductivity tended to increase in all regions and was the highest level in Jijangcheon. Organic pollution such as BOD and COD tended to increase in the Jungseon area. SS did not show a large tendency, but it showed high concentration in the Doam watershed. In all regions, 40% of water quality properties showed a tendency to ‘UP’, 15% of water quality properties tended to ‘DOWN’, and 46% indicated no tendency. In order to determine the cause of this, additional research and measures for improvement are necessary. This study will be used for the establishment of water quality policy in the future.
Concentrations of Particulate Matter Exposed to Farm Workers in the Broiler Houses
서효재 Seo Hyo-jae , 오병욱 Oh Byung-wook , 김효철 Kim Hyo-cher , 신소정 Sin So-jung , 서일환 Seo Il-hwan
As domestic meat consumption increases, the broiler production industry has been larger and denser. The concentration of particulate matter (PM) and harmful gases generated is also increasing inside livestock house. However, the current research status of PM exposed to farm workers and the health effects are in the early stage. To understand PM concentration affecting workers in the broiler house, field monitoring was conducted according to its size distributions. Concentrations of PM10, PM2.5, and TD (Total Dust) were monitored using personal air samplers with teflon filter during working and moving periods considering the ventilation systems of 6 broiler houses. The purpose of this study is to monitor the PM concentration in the experimental broiler houses operated by forced ventilation system generally used in Korea and to evaluate the regional concentrations through airflow pattern. The PM concentrations were increased from inlet to outlet vents resulting in 1,872 of TD, 1,385 of PM10, and 209 ㎍/㎥ of PM2.5, respectively. The TD and PM10 concentrations were increased when the workers and broilers were moving. Among them, the particle size that occupied the largest amount of PM was 13.75 ㎛. These results suggest that personal protection equipments are important to reduce the health effect from PM inhalation.
Performance Evaluation of Nitrogen Oxide Removal by Air Purification Blocks with Titanium Dioxide
오리온 Oh Ri-on , 김황희 Kim Hwang-hee , 박성기 Park Sung-ki , 차상선 Cha Sang-sun , 박찬기 Park Chan-gi
This study evaluated the nitrogen oxide (NOx) removal efficiency by air purification concrete blocks with titanium dioxide (TiO2). The concrete in the mixtures had a 30% water:cement ratio, to which TiO2 was added at 0%, 5%, and 10% of cement weight. The compressive strength reduction rate and removal efficiency of NOx were investigated. The result of the compressive strength test in the study indicated that addition rate of TiO2 did not lead to signifcant effect. In terms of the average removal efficiency of NOx, mix No. 1 using a TiO2 mixing ratio of 0% had a removal efficiency of 0 .57% on average; thus, the removal effect was not significant. For the other samples prepared by mixing, the average removal efficiencies for mix No. 2 (5% TiO2) were 58.86% and 62.05% for normal and washing surface treatments, respectively, and those of sample No. 3 (10% TiO2) were 59.94% and 67.61%. mixs No. 4 (5%) and No. 5 (10%), in which TiO2 diluted with distilled water was sprayed onto the block surface, had an average NOx removal efficiency of 61.72% and 68.48%, respectively. In terms of NOx removal efficiency, Mixs No. 3 and No. 5 with 10% TiO2 were better than Mixs No. 2 and No. 4 with 5% TiO2. In addition, analyzing the NOx removal efficiency results from the fixing method, it was capable to apply mixing (washing) and the diluted spray methods. Therefore, it was found that the diluted spray method applied in this study can be employed in any manufacture of air purification concrete blocks.
Evaluating Changes and Uncertainty of Nitrogen Load from Rice Paddy according to the Climate Change Scenario Multi-Model Ensemble
최순군 Choi Soon-kun , 정재학 Jeong Jaehak , 엽소진 Yeob So-jin , 김민욱 Kim Minwook , 김진호 Kim Jin Ho , 김민경 Kim Min-kyeong
Rice paddy accounts for approximately 52.5% of all farmlands in South Korea, and it is closely related to the water environment. Climate change is expected to affect not only agricultural productivity also the water and the nutrient circulation. Therefore this study was aimed to evaluate changes of nitrogen load from rice paddy considering climate change scenario uncertainty. APEX-Paddy model which reflect rice paddy environment by modifying APEX (Agricultural Policy and Environmental eXtender) model was used. Using the AIMS (APCC Integrated Modeling Solution) offered by the APEC Climate Center, bias correction was conducted for 9 GCMs using non-parametric quantile mapping. Bias corrected climate change scenarios were applied to the APEX-Paddy model. The changes and uncertainty in runoff and nitrogen load were evaluated using multi-model ensemble. Paddy runoff showed a change of 23.1% for RCP4.5 scenario and 45.5% for RCP8.5 scenario compared the 2085s (2071 to 2100) against the base period (1976 to 2005). The nitrogen load was found to be increased as 43.9% for RCP4.5 scenario and 76.0% for RCP8.5 scenario. The uncertainty analysis showed that the annual standard deviation of nitrogen loads increased in the future, and the maximum entropy indicated an increasing tendency. And Duncan’s analysis showed significant differences among GCMs as the future progressed. The result of this study seems to be used as a basis for mid- and long-term policies for water resources and water system environment considering climate change.
Simulation and Analysis of Solar Radiation Change Resulted from Solar-sharing for Agricultural Solar Photovoltaic System
이상익 Lee Sang-ik , 최진용 Choi Jin-yong , 성승준 Sung Seung-joon , 이승재 Lee Seung-jae , 이지민 Lee Jimin , 최원 Choi Won
Solar-sharing, which is an agricultural photovoltaic system installing solar panels on the upper part of crop growing field, has especially drawn attention. Because paddy fields for cultivating crops are large flat areas, there have been various attempts to utilize solar energy for solar photovoltaic as well as growth of crops in agriculture. Solar-sharing was first proposed in Japan, and has been actively studied for optimization and practical uses. The domestic climate differs from the climate conditions in which the solar-sharing has been widely studied, therefore, it is required to develop the solar-sharing technology suitable for the domestic climate. In this study, a simulation model was developed to analyze the change of solar radiation resulted from the solar-sharing installation. Monthly solar illumination intensity and the change of illumination intensity according to the various conditions of solar panel installation were simulated. The results of monthly illumination analysis differed by altitude of the sun, which was related to season. In addition, it was analyzed that the monthly illumination decreased by up to 42% due to solar-sharing. Accordingly, it is recommended that solar-sharing should be installed as a way to maximize the efficiency of solar photovoltaic system while minimizing the decrease in solar radiation reaching the crops.
Comparing and Consideration of Static and Dynamic Stability Analysis Methods for Domestic Reservoirs
이무재 Lee Moojae , 김용성 Kim Yongseong , 허준 Heo Joon , 박민우 Bark Minwoo , 타망비벡 Bibek Tamang , 안성수 An Sungsoo
In this study, we compared and analyzed the static and dynamic analysis method for agricultural reservoirs. In addition, we assumed the aging of reservoir as the deterioration of the internal friction angle and cohesion. The internal friction angle and cohesion were applied by dividing into 4 case for each reservoir. As a result of comparing the stability of the reservoir embankment, it was found that the dynamic stability analysis method showed a greater risk than the static stability analysis method when dynamic loads such as earthquakes were applied. Therefore, when detailed review such as liquefaction is required, it is considered that the dynamic stability analysis method should be applied first. If a study on the change in material properties due to the aging of the reservoir is conducted, the stability analysis of the reservoir due to the aging of the reservoir can be performed more accurately. In addition, if a study comparing the results of dynamic stability analysis and static stability analysis for earthquakes with various characteristics for more reservoirs is conducted, detailed criteria for the case where dynamic stability analysis should be considered can be presented.
Development of Easy Equation for Crop Water Stress Index (CWSIEE) Using the Temperature Difference between Canopy and Air (Tc-Ta) of Fruit Trees
최용훈 Choi Yonghun , 이상봉 Lee Sangbong , 김민영 Kim Minyoung , 김영진 Kim Youngjin , 전종길 Jeon Jonggil , 박정훈 Park Jeonghun
In order to calculate the Crop Water Stress Index (CWSI), it is necessary to collect weather data (air temperature, humidity, wind speed and solar radiation) and canopy temperature. However, it is not always available to have necessary data sets for CWSI calculation. Therefore, this study was aimed to develop an easy and simple CWSI equation (CWSIEE) using only two data, air and canopy temperatures. Infrared sensors and weather sensors were installed on apple and peach trees and nearby a study area and every ten-minute data were collected from June to October in 2018 and 2019, respectively. A relationship between air-canopy temperature difference and CWSI was statistically analyzed and used to develop CWSIEE using the three dimensional Gaussian model. The performance of CWSIEE against original CWSI showed R2 and NSE to 0.780 and 0.710 for apple trees and R2 and NSE to 0.884 and 0.866 for peach trees. This study found that the level of crop water stress could be easily calculated using CWSIEE with only air and canopy temperature data.
Estimation of DNN-based Soil Moisture at Mountainous Regions
천범석 Chun Beomseok , 이태화 Lee Taehwa , 김상우 Kim Sangwoo , 김종건 Kim Jonggun , 장근창 Jang Keunchang , 천정화 Chun Junghwa , 장원석 Jang Won Seok , 신용철 Shin Yongchul
In this study, we estimated soil moisture values using the Deep Neural Network(DNN) scheme at the mountainous regions. In order to test the sensitive analysis of DNN scheme, we collected the measured(at the soil depths of 10 cm and 30 cm) soil moisture and DNN input(weather and land surface) data at the Pyeongchang-gun(relatively flat) and Geochang-gun(steep slope) sites. Our findings indicated that the soil moisture estimates were sensitive to the weather variables(5 days-averaged rainfall, 5 days precedent rainfall, accumlated rainfall) and DEM. These findings showed that the DEM and weather variables play the key role in the processes of soil water flow at the mountainous regions. We estimated the soil moisture values at the soil depths of 10 cm and 30 cm using DNN at two study sites under different climate-landsurface conditions. The estimated soil moisture(R: 0.890 and RMSE: 0.041) values at the soil depth of 10 cm were comparable with the measured data in Pyeongchang-gun site while the soil moisture estimates(R: 0.843 and RMSE: 0.048) at the soil depth of 30 cm were relatively biased. The DNN-based soil moisture values(R: 0.997/0.995 and RMSE: 0.014/0.006) at the soil depth of 10 cm/30 cm matched well with the measured data in Geochang-gun site. Although uncertainties exist in the results, our findings indicated that the DNN-based soil moisture estimation scheme demonstrated the good performance in estimating soil moisture values using weather and land surface information at the monitoring sites. Our proposed scheme can be useful for efficient land surface management in various areas such as agriculture, forest hydrology, etc.
Development of a Framework for Evaluating Water Quality in Estuarine Reservoir Based on a Resilience Analysis Method
황순호 Hwang Soonho , 전상민 Jun Sang Min , 김계웅 Kim Kyeung , 김석현 Kim Seok Hyun , 이현지 Lee Hyunji , 곽지혜 Kwak Jihae , 강문성 Kang Moon Seong
Although there have been a lot of efforts to improve water quality in the estuarine reservoir, overall the water quality problems of the estuarine reservoirs remain. So, it is essential to establish water quality management plans under a comprehensive understanding of the environmental characteristics of the estuarine reservoir. Therefore, in this study, a resilience analysis framework for evaluating the estuarine reservoir’s water quality was suggested for improving existing assessment method for water quality management plan. First, as a result of analyzing the static resilience to each scenario, it was found that from the S3 scenario in which dredging was conducted considerably, the resilience of about 30% more than the current estuarine reservoir system was restored. Second, as a result of analyzing the dynamic resilience, if cost and time are considered, there is no significant difference in robustness and resourcefulness, so it can be seen that the resilience of the estuarine reservoir can be efficiently improved by simply performing dredging up to the level of Scenario 3. Finally, as a result of comparing static and dynamic resilience, since static resilience is only presented as a single value, the differences and characteristics of the resilience capacity of the estuarine reservoir might be overlooked only by the static resilience analysis. However, in the aspect that it is possible to interpret the internal recovery capacity of the estuarine reservoir in multiple ways with various indicators (robustness, redundancy, resourcefulness, rapidity), evaluating water quality based on dynamic resilience analysis is useful.
