Super Aging in South Korea Unstoppable but Mitigatable: A Sub-National Scale Population Projection for Best Policy Planning

During the past two decades social scientists have come to model dynamic socioeconomic systems of growing size and complexity. Despite a heavy reliance on ever more sophisticated high-speed digital computers, however, computer capacity for handling such systems has not kept pace with the growing demands for more detailed information. Consequently, it is becoming ever more important to identify those aspects of a system which permit one to deal with parts of it independently from the rest or to treat relationships among particular subsystems as though they were independent of the relationships within those subsystems. These questions are, respectively, those of decomposition and aggregation, and their application toward ‘shrinking’ large-scale population projection models is the focus of this paper.

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Nationwide Projection of Rice Yield Using a Crop Model Integrated with Geostationary Satellite Imagery: A Case Study in South Korea

Remote Sensing ◽

10.3390/rs10101665 ◽

2018 ◽

Vol 10 (10) ◽

pp. 1665 ◽

Cited By ~ 8

Author(s):

Seungtaek Jeong ◽

Jonghan Ko ◽

Jong-Min Yeom

Keyword(s):

Land Cover ◽

South Korea ◽

Crop Yield ◽

Crop Production ◽

Crop Model ◽

Paddy Fields ◽

Local Analysis ◽

National Scale ◽

Rice Yields ◽

Mean Square Errors

The Geostationary Ocean Color Imager (GOCI) of the Communication, Ocean, and Meteorological Satellite (COMS) increases the chance of acquiring images with greater clarity eight times a day and is equipped with spectral bands suitable for monitoring crop yield in the national scale with a spatial resolution of 500 m. The objectives of this study were to classify nationwide paddy fields and to project rice (Oryza sativa) yield and production using the grid-based GRAMI-rice model and GOCI satellite products over South Korea from 2011 to 2014. Solar insolation and temperatures were obtained from COMS and the Korea local analysis and prediction systems for model inputs, respectively. The paddy fields and transplanting dates were estimated by using Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and land cover products. The crop model was calibrated using observed yield data in 11 counties and was applied to 62 counties in South Korea. The overall accuracies of the estimated paddy fields using MODIS data ranged from 89.5% to 90.2%. The simulated rice yields statistically agreed with the observed yields with mean errors of −0.07 to +0.10 ton ha−1, root-mean-square errors of 0.219 to 0.451 ton ha−1, and Nash–Sutcliffe efficiencies of 0.241 to 0.733 in four years, respectively. According to paired t-tests (α = 0.05), the simulated and observed rice yields were not significantly different. These results demonstrate the possible development of a crop information delivery system that can classify land cover, simulate crop yield, and monitor regional crop production on a national scale.

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ARC Population and Employment Allocation Disaggregator — A Simple GIS-Based Tool for Parcel-Scale Population Projection

World Environmental and Water Resources Congress 2009 ◽

10.1061/41036(342)218 ◽

2009 ◽

Author(s):

Stephen Bourne ◽

Mike Alexander ◽

Wei Wang

Keyword(s):

Population Projection ◽

Scale Population

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Spatial Prediction of the Forest Soil Water Holding Capacities in Temperate Region on a National Scale With Random Forest Models

10.22541/au.162280786.69827193/v1 ◽

2021 ◽

Author(s):

Hyunje Yang ◽

Honggeun Lim ◽

Hyung Tae Choi

Keyword(s):

Random Forest ◽

South Korea ◽

Soil Properties ◽

Water Content ◽

Spatial Prediction ◽

Random Forest Model ◽

National Scale ◽

Environmental Covariates ◽

Forest Model ◽

Water Holding

Soil water holding capacities (SWHCs) is important input factor in hydrological simulation models for sustainable water management. Forests that covered 63% of South Korea are the main source of clean water, and it is essential to estimate SWHCs on a nationwide scale for effective forest water resources management. However, there are a few studies estimating SWHCs on a nationwide scale in the temperate regions especially in South Korea. Fortunately, forest spatial big data have been collected on a national scale, and the nationwide prediction of the SWHC can be possible with this dataset. In this study, spatial prediction of forest SWHCs (saturated water content, water content at pF1.8 and 2.7) was conducted with 953 forest soil samples and forest spatial big dataset. 4 soil properties and 14 environmental covariates were used for predicting SWHCs. Simple linear regression and random forest model were compared for selecting the optimal predictive model. From the variable importance analysis, environmental covariates had as big importance as soil properties had. And prediction performance of the model with environmental covariates as the input data was higher than that of the model with soil properties. Comparing two models, the random forest model could accurately and stably predict SWHCs than the simple linear model. As a result of spatial prediction of SWHCs at the national scale through the random forest model and the forest spatial big dataset, it was confirmed that higher SWHCs were distributed along with the Baekdudaegan, the watershed-crest-line in South Korea.

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National-scale exposure prediction for long-term concentrations of particulate matter and nitrogen dioxide in South Korea

Environmental Pollution ◽

10.1016/j.envpol.2017.03.056 ◽

2017 ◽

Vol 226 ◽

pp. 21-29 ◽

Cited By ~ 22

Author(s):

Sun-Young Kim ◽

Insang Song

Keyword(s):

Particulate Matter ◽

South Korea ◽

Nitrogen Dioxide ◽

National Scale

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National Sex Survey in South Korea

Klinička psihologija ◽

10.21465/2016-kp-p-0049 ◽

2016 ◽

Vol 9 (1) ◽

pp. 190-190

Author(s):

D. G. Moon ◽

◽

J. W. Kim ◽

H. G. Jeong ◽

J. J. Park ◽

...

Keyword(s):

South Korea ◽

Sex Education ◽

Demographic Information ◽

Prevention Strategies ◽

National Scale ◽

Sexually Transmitted ◽

The Past ◽

Stis And Hiv ◽

Structured Questionnaire ◽

Hiv Aids

Objective: This study aimed to perform the national sex survey and to collect the basic data for establishment of the prevention strategies of sexually transmitted infections (STIs) and HIV/AIDS. Design and Method: This is a national survey performed on a sample of 2,500 individuals (1,273 men and 1,227 women) aged 18-69 years old. The online surveys were carried out on a national scale in South Korea. Subjects were randomly selected from resident registration. A structured questionnaire was developed which elicited information concerning: demographic information, information on their sexual behavior, sexual identity, prostitution, experience of STIs, and experience of sex education. Results: The majority of the subjects were either married or living with a partner. Mean number of sexual intercourse is 3.0±3.3 times a month. Mean sexual satisfaction score using visual analog scale is 63.2±24.6. Eighty-four percent had a fixed sex partner; 13.1% (22.6% of men; 2.5% of women) had experience through a speed dating or prostitution. 0.9% of men and 1.1% of women were sexually attracted to the same gender only, 1.5% of men and 2.0% of women were sexually attracted to both gender. 1.8% of participants had the experience of the STIs. Only 10.4% of the respondents had received sex education in the past year. Conclusions: We performed the National Sex Survey according to the nationwide distribution of population. It would be useful for establishment of the prevention strategies of STIs and HIV/AIDS. To control STIs and HIV/AIDS, powerful policies containing sex education and medical services will be needed.

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