• Journal of architectural history
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• v.31 no.4
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• pp.17-28
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• 2022

This study aims to investigate and reveal the spatial structure of Boryeonghyeon by examining the geographical status of its Eupchi (Local administrative center:邑治) through an analysis of the location, tracing locations of governemnt offices including Dongheon(東軒) and Kaeksa(客舍) in the walled town, and checking the lot numbers of Sajikdan(社稷壇), Yeodan(厲壇), and Cheongyeonyeok(靑淵驛) outside it. Buildings of Boryeonghyeon in the walled town in the Joseon Dynasty were almost lost and now, part of the city wall and Haesanru(海山樓) just remains as relic. The walled town consisted of several buildings of government offices as well as Dongheon and Kaeksa which are government organs. Altar and shrine(壇廟) facilities including Shrine of Confucius(文廟), Altar of Land and Grain, and Preceptor's Shrine were placed outside the walled town and Cheongyeonyeok were operated as the facilities for transmission of royal orders. Therefore, the government office facilities in the walled town, altar and shrine facilities outside the fortress, and the location of the post station were required to trace and check each of them. For the checking method, the lot numbers could be checked by checking the original cadastral maps and the then land categories and owners, analyzing the records and circumstances of the relevant township annals(邑誌), and examining analyses on the locations by using a numerical map of one to 5 thousands. The study estimated the locations of government facilities including Dongheon and Kaesa placed in the walled town and was grasped to be the east and west gates with the south gate which remains now in the fortress. And the lot numbers of Sajikdan, Yeodan, Cheongyeonyeok.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.1
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• pp.40-54
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• 2023

The purpose of this study is to present implications using local government data, focusing on the occurrence of empty houses, one of the serious social problems emerging due to population extinction and aging. The subjects of the study were Mokpo-si, which has the highest percentage of empty houses in the country, and the spatial distribution status was identified by schematizing the status of empty houses by grade on a map through data from the local government's survey on empty houses. As a result of the survey on vacant houses, it was confirmed that 90% of empty houses in Mokpo City were included in the project district of the urban regeneration strategy plan underway in Mokpo City. Currently, the empty house maintenance project is difficult to proceed smoothly due to difficulties in purchasing empty houses and lack of budget for local governments, so in order for the project to proceed quickly, it is necessary to come up with a plan to promote the project in connection with the urban regeneration strategy plan in Mokpo.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.185-185
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• 2023

Agricultural water demand is considered as the major sector of water withdrawal due to irrigation. The majority part of the global agricultural field depends on various irrigation techniques. Therefore, a timely and sufficient supply of water is the most important requirement for agriculture. Irrigation is implemented in different ways in various land surface models, it can be modeled empirically based on observed irrigation rates or by calculating water supply and demand. Certain models can also calculate the irrigation demand as per the soil water deficit. In these implementations, irrigation is typically applied uniformly over the irrigated land regardless of crop types or irrigation techniques. Whereas, the latest version of Community Land Model (CLM) in the Community Terrestrial Systems Model (CTSM) uses a global distribution map of irrigation with 64 crop functional types (CFTs) to simulate the irrigation water demand. It can estimate irrigation water withdrawal from different sources and the amount or the areas irrigated with different irrigation techniques. Hence, we set up the model for the simulation period of 16 years from 2000 to 2015 to analyze the global irrigation demand at a spatial resolution of 1.9° × 2.5°. The simulated irrigation water demand is evaluated with the available observation data from FAO AQUASTAT database at the country scale. With the evaluated model, this study aims to suggest new sustainable scenarios for the ratios of irrigation water withdrawal, high depending on the withdrawal sources e.g. surface water and groundwater. With such scenarios, the CFT maps are considered as the determining factor for selecting the areas where the crop pattern can be altered for a sustainable irrigation water management depending on the available withdrawal sources. Overall, our study demonstrate that the scenarios for the future sustainable water resources management in terms of irrigation water withdrawal from the both the surface water and groundwater sources may overcome the excessive stress on exploiting the groundwater in major river basins globally.

• Journal of Practical Agriculture & Fisheries Research
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• v.9 no.1
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• pp.13-25
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• 2007

The present study analyzed the spatial characteristics of S village according to the Feng-Shui theory(風水理論). People's life span is affected by several factors including hereditary constitution, dietary life and life habits but recently there is an opinion that longevity village in Korea are commonly located in areas at a proper altitude. The objective of the present study was to basic investigate the characteristics of S village from the viewpoint of Feng-Shui(風水). As for this study, it will be given help to a longevity village plan. For this purpose, we conducted field survey and map investigation of the natural geographic situation of S village focused on Ryong(龍, contiguous line of terrestrial stratum), Hull(穴, village location), Sa(砂, geographical feature of surrounding mountains), Su(水, water flow) and Hyang(向), which are Feng-Shui(風水) objects to be observed. According to the result of this research, S Village, which has mountains in the rear and a river in the front, was found to be in fine geographic situation equipped with Sashinsa(四神砂). According to the Feng-Shui theory(風水理論), the village was hang-ju-hyoung(行舟形), which means that people and properties flourish together. A shortcoming of the village was the absence of Ahnsan(案山) to block harmful winds blowing to the fore of the village. In addition, another shortcoming of the village in terms of Feng-Shui(風水) was the large variation of temperature because of its location surrounded by high mountains as if the village was situated inside a bowl. The Hyang(向) of village houses were arranged by the geographical feature and not by Feng-Shui(風水).

• Asian Journal of Business Environment
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• v.13 no.2
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• pp.9-20
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• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• Atmosphere
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• v.33 no.1
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• pp.61-72
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• 2023

Accurate estimation of forest carbon stocks is important in establishing greenhouse gas reduction plans. In this study, we estimate the spatial distribution of forest carbon stocks using machine learning techniques based on high-resolution remote sensing data and detailed field survey data. The high-resolution remote sensing data used in this study are Landsat indices (EVI, NDVI, NDII) for monitoring vegetation vitality and Shuttle Radar Topography Mission (SRTM) data for describing topography. We also used the forest growing stock data from the National Forest Inventory (NFI) for estimating forest biomass. Based on these data, we built a model based on machine learning methods and optimized for Korean forest types to calculate the forest carbon stocks per grid unit. With the newly developed estimation model, we created forest carbon stocks maps and estimated the forest carbon stocks in South Korea. As a result, forest carbon stock in South Korea was estimated to be 432,214,520 tC in 2020. Furthermore, we estimated the loss of forest carbon stocks due to the Donghae-Uljin forest fire in 2022 using the forest carbon stock map in this study. The surrounding forest destroyed around the fire area was estimated to be about 24,835 ha and the loss of forest carbon stocks was estimated to be 1,396,457 tC. Our model serves as a tool to estimate spatially distributed local forest carbon stocks and facilitates accounting of real-time changes in the carbon balance as well as managing the LULUCF part of greenhouse gas inventories.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.1
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• pp.114-131
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• 2023

The study empirically delves into the longitudinal transition of the urban core of Naju City in Korea. For the purpose, the ASA (Angular Segment Analysis) technique of Space Syntax has been adopted to investigate the cadastral maps on the GIS platform for the five chosen years since 1920. In particular, the global integration map as well as box plot statistics have been used to capture the time-series consequences. The findings indicate that the old downtown is no more a monocentric city core and the center of the City has far moved eastward near the new Gwangju-Jeonam Innovation City especially during the period between 2000 and 2020.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.222-222
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• 2021

도시 내 하천 친수공간은 레저 및 여가를 위한 공간과 더불어 자연경관 및 생태체험 등의 다목적으로 활용되어 지역사회에 있어 중요한 공간으로 활용되고 있다. 과거 4대강 사업으로 국가하천 내 휴식공간을 조성하였다. 그 후 친수지구 중에서 이용도가 저조한 곳을 해제하였으며, 현재 297개의 친수지구를 중점으로 관리하고 있다. 이러한 친수지구를 유지하는데 필요한 보수 비용들을 지자체에서 담당하고 있으나, 상당한 비용이 소요되므로 친수지구 지정 후 운영단계에서 지역 주민들의 특성 및 요구를 정확히 파악할 필요가 있다. 하천 친수공간에 대한 정보구축은 조사원 조사, 유지관리 기관 조사 등 인적 조사 방식을 통한 데이터 수집으로 많은 비용이 필요할 뿐만아니라 DB 갱신 부분에도 한계가 있다. 그러므로 본 연구에서는 RS/GIS를 기반으로 친수시설에 대한 정보맵 작성 방안 연구와 친수시설 뿐만 아니라 유역조사 시 하천공간에서 수행할 수 있는 기술에 대한 연구를 수행하였다. 연구대상지역은 대저생태공원과 삼락생태공원을 대상으로 선정하였다. 해당 지역 항공영상의 정합 및 전처리를 실시한 후 QGIS를 활용하여 LSMS(Large-Scale Mean Shift) 기법으로 시설물 분류를 실시하였다. 공원 내 친수시설 분류를 위해 공간 반경(Spatial radius)를 10 ~ 25까지 변화시키면서 최적 분류 결과를 도출하는 공간 반경을 찾았으며 친수시설 규모와 시설의 특성에 따라 공간 반경을 조절하여 친수시설 분류맵을 작성하였다. 친수지구 내 친수시설 분류맵과 친수지구 내 친수시설 현황 및 친수시설별 코드와, 위치정보(위도, 경도 및 표고), 면적 및 관리현황으로 분류하여 입력 할 수 있도록 하였다. 본 연구에서 구축한 친수시설 자동분류 알고리즘을 통해 전국 단위 통합 하천관리체계 구축 및 친수시설에 대한 정보맵을 작성할 수 있는 기반 마련이 가능할 것이다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.341-347
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• 2006

Geographically Imha basin is adjacent to Andong basin, but the occurrence of turbid water in each reservoir by storm events shows big differences. Hence, it is very important to identify the reason for these large differences. This study compared and analyzed soil erosion using the semi-empirical soil erosion model, RUSLE for both Imha and Andong basin, especially with emphasis on high-density turbid water. The agricultural district, which is the most vulnerable to soil erosion, was intensively analyzed based on land cover map produced by Ministry of Environment. As a result, the portion of the agricultural area is 11.88% for Andong basin, while it is 14.95% for Imha basin. Also all RUSLE factors excepts practice factor turned out to be higher for Imha basin. This means that the basin characteristics such as soil texture, terrain, and land cover for Imha basin is more vulnerable to soil erosion. Estimation of soil erosion by RUSLE for Andong and Imha basin is 1,275,806 ton and 1,501,608 ton, respectively, showing higher soil erosion by 225,802 ton for Imha basin.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.3
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• pp.29-42
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• 2023

As the destruction of habitats due to recent development continues, there is also increasing interest in endangered species. Mankyua chejuense is a vulnerable species that is sensitive to changes in population and habitat, and it has recently been upgraded from Endangered Species II to Endangered Species I, requiring significant management efforts. So in this study, we analyzed the potential habitats of Mankyua chejuense using MaxEnt(Maximum Entropy) modeling. We developed three models: one that considered only environmental characteristics, one that considered artificial factors, and one that reflected the habitat of dominant tree species in the overstory. Based on previous studies, we incorporated environmental and human influence factors for the habitats of Mankyua chejuense into spatial information, and we also used the habitat distribution models of dominant tree species, including Ulmus parvifolia, Maclura tricuspidata, and Ligustrum obtusifolium, that have been previously identified as major overstory species of Mankyua chejuense. Our analysis revealed that rock exposure, elevation, slope, forest type, building density, and soil type were the main factors determining the potential habitat of Mankyua chejuense. Differences among the three models were observed in the edges of the habitats due to human influence factors, and results varied depending on the similarity of the habitats of Mankyua chejuense and the dominant tree species in the overstory. The potential habitats of Mankyua chejuense presented in this study include areas where the species could potentially inhabit in addition to existing habitats. Therefore, these results can be used for the conservation and management planning of Mankyua chejuense.