• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.91-102
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• 2007

To anticipate and respond to harmful algae produced in a big artificial lake like Daecheong reservoir, development of a regional analysis computer system using GIS or RS technique is needed in addition to biological and chemical research. The purpose of this study is to develop a cyanobacterial blooming prediction model to prevent harmful algae produced in Daecheong reservoir and construct an early forecasting system based on GIS. For this purpose this paper examines previous studies related to the relationship between cyanobacteria and environmental factors in Daecheong reservoir and selects precipitation and air temperature as two important environmental factors for the development of cyanobacterial blooming prediction model. Data used in this study are water quality and weather data for three water regions in Daecheong reservoir between 2000 and 2004. Based on qualitative correlation analysis between cyanobacteria and environmental factors, this paper presents a Rump model which enables us to predict cyanobacteria in water regions of Daecheong reservoir. Under this model the prediction of initial occurrence time and growth period of cyanobacteria are possible. The model is also applied to the GIS-based early forecasting system for cyanobacteria, and finally a GIS which can predict cyanobacteria produced in Daecheong reservoir and can manage the related data is developed.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.4
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• pp.8-20
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• 2001

The main purpose of this study is to introduce a new method of evaluation, and to suggest how to apply geographic information system for optimum public facility site selection. For this purpose, a new evaluation model for the site selection is developed. The model provides a simple and easy method of evaluation. It also allows differences among location factors through two step weighting procedures. For a better understanding of the model, solution procedures and visual figures are illustrated with the case of Dalseong-Gun's city hall location example.

• Korean Journal of Environment and Ecology
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• v.13 no.3
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• pp.209-219
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• 1999

주암호는 전라남도와 광주광역시에 약 1,180,000톤/일의 생활용수와 공업용수를 공급하는 상수원이다. 상수원수계의 생활하수, 축산폐수, 숙박업소, 식당 등 점오염원과 주거지, 농경지, 산림지역에서 우수와 함께 유출되는 비점오염원으로부터 발생하는 오염부하량으로 이들 상수원의 수질은 점점 악화되어 3급수로 전락할 우려가 높아지고 있다. 이들 상수원의 수질관리에 있어 중요한 인자의 파악과 인자들간 상호작용의 이해를 용이하게 해주는 수계수질관리 부분생태계모형을 제시하였으며 지리정보체계를 응용하여 수계의 점오염원과 비점오염원을 데이터베이스화하는 방법, 오염부하량 산출방법, 점원 및 비점오염원의 공간분석, 상수원 보호구역으로부터 완충구역분석, 위성자료 분석을통한 상수원 수계 토지이용분석과 비점오염원 부하량산출 응용 방법등을 연구하였다 분석결과 주암호수계의 BOD 부하량은 주거지. 생활하수, 축산폐수, 경작지, 식당이 차지하는 비율이 높으며 총질소 부하량은 경작지, 산림, 생활하수, 추간폐수가 높으며 그리고 총인 부하량은 생활하수, 축산폐수, 경작지가 높은 것으로 나타났다. 점오염원인 생활하수, 축산폐수, 식당 뿐만 아니라 비점오염원인 경작지도 수질오염에 상당한 영향을 미치고 있다.

• Spatial Information Research
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• v.14 no.1 s.36
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• pp.15-27
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• 2006

This paper is about the threshold discharge computation using GIUH(Geomorphoclimatic Instantaneous Unit Hydrograph) on ungauged small basin. GIUH is one of the possible approaches to predicting the hydrograph characteristics. This study is calculated the various ways which are hydrologic characteristics, bankfull flows, unit peak flows(the Clark, the Nakayasu and the S.C.S) as well as threshold runoffs on about $5km^2$ scale at Kyungbuk gampo in subbasin. We are estimated propriety that peak discharge calculated the GIUH from acquiring data by GIS(Geographic Information System) compared to observed peak discharge. And, the threshold discharge was calculated by NRCS(Natural Resources Conservation Service) for a flash flood standard rainfall.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.3
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• pp.424-436
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• 2012

While local autonomy is settled, each local government plans and fulfills policy to foster local industry for local development so it is important to establish industry location and economic foundation which is fitting to local conditions. Local development requires the development of local industry and it is necessary that this industry fits to the local conditions in order to be focused and developed. The regional input-output tables contain very useful data to understand the structure of local industry and interregional industry and also the analysis of linkage by industrial ripple effect among regions is needed. The study divided the country into 7 units and conducted factor analysis by using sum data of inducement coefficients in 78 parts of 2005's regional input-output tables, and as conclusion extracted 8 factors.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1169-1173
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• 2005

자연현상의 강우와 유출관계를 규명하는 일은 상당히 복잡하고 어려우며 대부분의 하천이 충분한 수문정보가 부족하기 때문에 수문학적인 문제의 해결을 위한 보다 정확하고 신속한 방법이 필요하다. 지리정보시스템 (Geographical Information Systems; GIS)은 강우-유출 등 수문학적 모델링에 있어서 많은 새로운 방법을 연구할 수 있다. 우리나라 소하천 유역은 아직 수위나 유량 관측이 행해지지 않은 미계측유역이 있어 홍수시 정확한 유출량 추정이 어려운 실정이다. 이에 본 연구에서는 GIS와 WMS를 이용하여 지형특성인자값을 산정하고, 유역특성인자들을 IHP 대표유역인 설마천 유역에 적용하여 DEM 격자크기별 지형특성인자값을 비교하고, HEC-HMS 수문모형을 이용하여 유출수문곡선을 모의하고 이 결과와 실제 수문곡선과의 비교를 통하여 설마천 유역의 적정한 DEM 격자크기를 결정해 보고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.72-77
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• 2006

유역특성조사는 지형도와 원격탐사자료 및 확인조사를 기초로 지리정보시스템(GIS)기법 등 최신기법을 도입하여 유역단위의 특성인자를 도출함으로서 이수 및 치수 등 수자원과 관련된 각종 분석의 기초자료 제공에 그 목적을 두고 있다. 기존의 유역특성 자료는 전유역을 대상으로 유역전반에 문헌을 통한 개괄적인 인용, 또는 수작업으로 중소하천의 유역특성인자를 파악함으로서, 일관성 및 정확도에 어느정도 한계를 내포하고 있다. 따라서, 중소하천 유역별(소유역별) 유역특성 파악 및 특성인자 변화를 확인할 수 있는 기초자료 구축을 위한 전면적인 조사가 필요하다. 본 연구에서는 전국유역조사 사업의 일환으로, 수자원단위지도를 기반으로 하여 DEM과 하천망도를 구축하였으며, 이를 활용하여 유역특성 및 하천특성 분석을 수행하였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.279-281
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• 2009

우리나라 산불은 대부분 인간에 의해서 발생한다고 알려져 있다. 하지만 그것이 반드시 기상요인을 받지 않는다고는 볼 수 없다. 연중 대부분의 산불이 봄철 건조한 시기에 일어나기 때문이다. 본 연구는 이처럼 산불 발생과 관련이 있는 기상인자 중 기온과 강수량, 습도를 중심으로 산불 발생과의 관련성을 알아보고자 하였다. 몇몇 독립변수들을 통제하기 위해 지형 지리 인자들이 분석에 포함되었다. 시간을 두고 발생하는 이산형 사건 분석에 적합한 포아송 회귀분석을 실시하기 위해 산불 발생 지점의 점 자료를 래스터화하여 사용하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.130-145
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• 2016

Soil erosion processes are affected by weather factors, such as rainfall, temperature, wind, and humidity. Among these factors, rainfall directly influences soil erosion by breaking away soil particles. The kinetic energy of rainfall and water flow caused by rain entrains and transports soil particles downstream. Therefore, in order to estimate soil erosion, it is important to accurately determine the rainfall erosivity factor(R) in RUSLE(Revised Universal Soil Loss Equation). The objective of this study is to evaluate the average annual R using 14 years(2002~2015) of 1 minute rainfall data from 55 KMA(Korea Meteorological Administration) weather stations. The R results from 1 min rainfall were compared with previous R studies using 1 h rainfall data. The determination coefficients($R^2$) between R calculated using 1 min rainfall data and annual rainfall were 0.70-0.98. The estimation of 30 min rainfall intensity from 1 min rainfall data showed better $R^2$ results than results from 1 h rainfall data. For estimation of physical spatial rain erosivity(R), distribution of annual rainfall was estimated by IDW(Inverse Distance Weights) interpolation, taking elevation into consideration. Because of the computation burden, the R calculation process was programmed using the python GUI(Graphical User Interface) tool.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.2
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• pp.47-56
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• 2004

The purpose of this study is to estimate soil loss amount according to the rainfall-runoff erosivity factor frequency and to analyze the hazard zone that has high possibilities of soil erosion in the watershed. RUSLE was used to analyze soil loss quantity. The study area is Gwanchon that is part of Seomjin river basin. To obtain the frequency rainfall-runoff erosivity factor, the daily maximum rainfall data for 39 years was used. The probability rainfall was calculated by using the Normal distribution, Log-normal distribution, Pearson type III distribution, Log-Pearson type III distribution and Extreme-I distribution. Log-Pearson type III was considered to be the most accurate of all, and used to estimate 24 hours probabilistic rainfall, and the rainfall-runoff erosivity factor by frequency was estimated by adapting the Huff distribution ratio. As a result of estimating soil erosion quantity, the average soil quantity shows 12.8 and $68.0ton/ha{\cdot}yr$, respectively from 2 years to 200 years frequency. The distribution of soil loss quantity within a watershed was classified into 4 classes, and the hazard zone that has high possibilities of soil erosion was analyzed on the basis of these 4 classes. The hazard zone represents class IV. The land use area of class IV shows $0.01-5.28km^2$, it ranges 0.02-9.06% of total farming area. Especially, in the case of a frequency of 200 years, the field area occupies 77.1% of total fanning area. Accordingly, it is considered that soil loss can be influenced by land cover and cultivation practices.