• Journal of the Korean Institute of Rural Architecture
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• v.9 no.3
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• pp.1-10
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• 2007

This study aims to discuss the location characteristics and present distribution of facilities in the rural community. The purpose of this study is to suggest the basic data of the planning of facilities corresponding to the living sphere in community. The circumstances, location and distribution of the rural area facilities was analyzed through field investigation and interview. lt is necessary for ameliorating the income of inhabitants and the status of living environment to make a general local plan in developing rural area. That will be a solution to tackle the decreasement of population in the rural area. The survey's result is observed different by the feature of rural area, adjacence with near rural center, scale of rural center. So a standard of the various facility's arrangement plan must be established, and it must be enlarged in rural area.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.29-36
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• 2019

The purpose of this study was to analyze affecting factors to consider and make decision on the urban-to-rural migrants using survey data. In the consideration model of urban-to-rural migrants, it was found that the more interest in "urban-to-rural migrants concern" was, the higher probability to consider about urban-to-rural migrants. The lower the age and income level, the higher probability to consider about the urban-to-rural migrants. In the decision making model of urban-to-rural migrants, the more interest in "urban-to-rural migrants concern" was, the higher probability to decision making of urban-to-rural migrants. The higher of stable pension income and the lower of the expected living cost, the higher probability of decision on urban-to-rural migrants. The results of this analysis show that it is necessary to continuous education to increase "interests and information about rural areas", and A number of safeguards are needed to ensure stable income after urban-to-rural migrants to increase the population of the urban-to-rural migrants.

• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.79-96
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• 2024

The purpose of this study is to analyze the factors affecting residential mobility between urban and rural. After classifying urban and rural region based on discriminatory attributes of the regions, we applied a multinomial logistic model, using the sample data of 2020 Korea Population and Housing Census. The major findings are as follows. The young highly educated in cities avoided rural. The young less educated in rural engaged in 2, 3th industries as well as agricultural industry, but remained in low-paying and unstable jobs. In addition, various classes moved to rural and rising house prices in cities pushed people to rural. Therefore, it is necessary to develop diversified regional industry models and provide opportunities for high quality and stable jobs in rural by linking industrial demand, education and jobs. Also, preserving the rural environment, settlement conditions and residential environment are needed for satisfying various needs of urban residents who migrate to rural areas. While regional policies so far have focused on maintaining the population size and promoting a population influx, rural development and population policies should be established in a way that responds to diverse population classes in an era of population decline.

• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.51-62
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• 2014

The composition of rural Green Village requires higher utilization of renewable energy in those selected rural villages. The purpose of this study is to select the best results of rural green villages when using photovoltaic power system(PV system). 10 different rural villages in Chubumyeon, Keumsan, Chungnam province, were selected as study villages. This study shows measured solar radiation data, a 20-year time series data, and GIS spatial analysis; and whose were used to predict the photovoltaic power generation. PV system is used as a form with capacity of 3kWp to use for personal and public houses. Generation data was calculated by the town, where the economics of the Green Village location analysis was performed; and the solar radiation's correction factor was calculated by the 20-year time series data and measured data by study villages. By applying to the data of DEM, slope and aspect of the study villages were found, therefore performed. Spatial analysis tools were performed by using solar radiation map's tools. Those data found were used to calculate the average needed energy every months. When used the properly calculated data, towns performed economical energy consumption in rural Green Village. Every study villages have showed very high potential for PV system. Sungdangri ranked at the first (7,401kWp/year), Jangdaeri follows behind to the second (7,203kWp/year) and Yogwangri at third (7,89kWp/year) which shows higher developed energy than other study villages. The areas covered of these three towns are as follows: Sungdangri at $33,300m^2$, Jangdaeri covers $18,000m^2$ and Yogwangri shows $46,800m^2$. With these results, analyzing the potentials using GIS spatial analysis before installation of PV system was possible. Also different villages and topography in study villages have showed various results by the area. For convenience and to shorten research time, it is possible and enough to use solar radiation tools when studying spatial analysis of solar radiation.

• Journal of Soil and Groundwater Environment
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• v.26 no.4
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• pp.27-43
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• 2021

Since climate factors, such as precipitation, temperature, etc., show repeated patterns every year, it can be said that future changes can be predicted by analyzing past climate data. As with groundwater, seasonal variations predominate. Therefore, when a drought occurs, the groundwater level is also lowered. Thus, a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use Standard Groundwater Level Index (SGI) to which the Standard Precipitation Index (SPI) method is applied to evaluate the severity of droughts and predict drought trends. However, due to the strong interferences caused by the recent increase in groundwater use, it is difficult to represent the droughts of regions or entire watersheds by only using groundwater level change data using the SPI or SGI methods, which analyze data from one representative observation station. Therefore, if the long-term groundwater level changes of all the provinces of a watershed are analyzed, the overall trend can be shown even if there is use interference. Thus, future groundwater level changes and droughts can be more accurately predicted. Therefore, in this study, it was confirmed that the groundwater level changes in the last 5 years compared with the monthly average groundwater level changes of the monitoring wells installed before 2015 appeared similar to the drought occurrence pattern. As a result of analyzing the correlation with the water storage yields of 3,423 agricultural reservoirs that do not immediately open their sluice gates in the cases of droughts or floods, it was confirmed that the correlation was higher than 56% in the natural state. Therefore, it was concluded that it is possible to re-evaluate agricultural droughts through long-term groundwater level change analyses.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.2
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• pp.31-38
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• 2011

The domestic rural villages have faced on the many problems in future society. The major purposes of this paper are to clarify in space program for the Rural Activating through the Urban-Rural Exchange. Firstly, it has examined the rural amenities of rural resources, such as natural surroundings, culture, history, landscape, economy, community power etc. Secondary, it was checked about analysis of operation programs corresponding to the rural resources. Thirdly, These space program of Urban-Rural Exchange, which has been archived process of spacial planning, was investigated the spacial conditions corresponding to the operation programs. To make Urban-Rural Exchange Center, it was necessary to analyze physical spacial size of building gross area, by data of cross checking with the area per capita and area per household in the rural village. According to the research, Urban-Rural Exchange Center was to be included visiting center, multipurpose room and dining room, exhibiting space, conference room, experience room, welfare space and specialized room with activation of rural village. However additional conditions are required that it is based on the sustainable development, environmentally friendly architecture both operation program and space program for the value of common society, citizen and villagers.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.9-24
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• 2022

Currently, a vast amount of hydrologic data is accumulated in real-time through automatic water level measuring instruments in agricultural reservoirs. At the same time, false and missing data points are also increasing. The applicability and reliability of quality control of hydrological data must be secured for efficient agricultural water management through calculation of water supply and disaster management. Considering the characteristics of irregularities in hydrological data caused by irrigation water usage and rainfall pattern, the Korea Rural Community Corporation is currently applying the Hampel filter as a water level data quality management method. This method uses window size as a key parameter, and if window size is large, distortion of data may occur and if window size is small, many outliers are not removed which reduces the reliability of the corrected data. Thus, selection of the optimal window size for individual reservoir is required. To ensure reliability, we compared and analyzed the RMSE (Root Mean Square Error) and NSE (Nash-Sutcliffe model efficiency coefficient) of the corrected data and the daily water level of the RIMS (Rural Infrastructure Management System) data, and the automatic outlier detection standards used by the Ministry of Environment. To select the optimal window size, we used the classification performance evaluation index of the error matrix and the rainfall data of the irrigation period, showing the optimal values at 3 h. The efficient reservoir automatic calibration technique can reduce manpower and time required for manual calibration, and is expected to improve the reliability of water level data and the value of water resources.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.2
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• pp.19-35
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• 2002

To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.5
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• pp.1-15
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• 2018

This study aims to effective survey on actual condition for impact and vulnerability assessment on climate change in agriculture and rural community (limited to rural water and agricultural infrastructure, Paragraph 3, Article 2 of the Rearrangement of Agricultural and Fishing Villages Act) entrusted to Korea Rural Community Corporation based on the Law (Paragraph 2, Article 47 of the Framework Act on Agriculture, Rural community and Food industry). The results are summarized as follows. The rural water was divided into three categories (abnormal climate, water use, and flood control), and 31 indicators were selected. The reservoirs were divided into four categories, and 20 indicators were selected. The pumping stations were divided into two categories, 7 indicators, and the drainage pump stations were divided into two categories, 5 indicators were chosen. A survey on actual condition of each indicator was conducted and the result of the impact assessment was calculated. The 65 rural water showed values ranged from 0.855 to 1.308. The reservoir ranged from 0.966 to 23.338 as a result of the impact assessment on the 16 indicators. The pumping station was able to calculate the results of the safety inspection and the thorough safety inspection, and the drainage pump station was able to calculate only the result of the safety inspection. It is judged that it will be necessary to secure and analyze data on indicators with no data in the future. The results of this research can be utilized as baseline data that can deal with climate change preemptively.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.6
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• pp.121-131
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• 2018

Climate change has caused changes in environmental factors that have a direct impact on agriculture such as temperature and precipitation. The meteorological disaster that has the greatest impact on agriculture is drought, and its forecasts are closely related to agricultural production and water supply. In the case of terrestrial data, the accuracy of the spatial map obtained by interpolating the each point data is lowered because it is based on the point observation. Therefore, acquisition of various meteorological data through satellite imagery can complement this terrestrial based drought monitoring. In this study, Evaporative Stress Index (ESI) was used as satellite data for drought determination. The ESI was developed by NASA and USDA, and is calculated through thermal observations of GOES satellites, MODIS, Landsat 5, 7 and 8. We will identify the difference between ESI and other satellite-based drought assessment indices (Vegetation Health Index, VHI, Leaf Area Index, LAI, Enhanced Vegetation Index, EVI), and use it to analyze the drought in South Korea, and examines the applicability of ESI as a new indicator of agricultural drought monitoring.