• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.8
• /
• pp.698-705
• /
• 2016

The purpose of this study is to analyze the impact which the plan characteristics of Residential Land Development Projects have on land price changes in the project district and to derive policy implications for the efficient promotion of these projects. For this purpose, we analyzed the promotion land price change progress of Residential Land Development Projects step-by-step. After theoretical consideration and a review of the references, 16 plan characteristics of Residential Land Development Projects affecting land price changes were selected ((1) The rate of land price change, (2) Business area, (3) Residential land ratio, (4) Commercial land ratio, (5) Semi-residential land ratio, (6) Neighborhood facilities land ratio, (7) Apartment house ratio, (8) Street ratio, (9) Park & green ratio, (10) Ratio of land for schools, (11) Site development cost for $1m^2$, (12) General residential area ratio, (13) Semi-residential area ratio, (14) Commercial area ratio, (15) Semi-Industrial area ratio, and Natural green area ratio). We used SPSS Version 20.0 to analyze the impact of the 16 selected plan characteristics on the land price changes. As a result, it was found that the land price began to rise two years (before/after?) the appointment of the district and became stabilized after the completion of the project. The plan characteristics that affect the land price changes were found to be the (2) Business area, (4) Commercial land ratio, (6) Neighborhood facilities land ratio, (8) Street ratio, (11) Site development cost for $1m^2$, and (12) General residential area ratio.

• Magazine of the Korean Society of Agricultural Engineers
• /
• v.44 no.5
• /
• pp.54-66
• /
• 2002

A grid-based hydrological model, CELTHYM, capable of estimating base flow and surface runoff using only readily available data, was used to assess hydrologic impacts caused by land use change on Little Eagle Creek (LEC) in Central Indiana. Using time periods when land use data are available, the model was calibrated with two years of observed stream flow data, 1983-1984, and verified by comparison of model predictions with observed stream flow data for 1972-1974 and 1990-1992. Stream flow data were separated into direct runoff and base flow using HYSEP (USGS) to estimate the impacts of urbanization on each hydrologic component. Analysis of the ratio between direct runoff and total runoff from simulation results, and the change in these ratios with land use change, shows that the ratio of direct runoff increases proportionally with increasing urban area. The ratio of direct runoff also varies with annual rainfall, with dry year ratios larger than those for wet years shows that urbanization might be more harmful during dry years than abundant rainfall years in terms of water yield and water quality management.

• Korean Journal of Remote Sensing
• /
• v.24 no.1
• /
• pp.45-55
• /
• 2008

The impact on streamflow and groundwater recharge considering future potential climate and land use change was assessed using SLURP (Semi-distributed Land-Use Runoff Process) continuous hydrologic model. The model was calibrated and verified using 4 years (1999-2002) daily observed streamflow data for a $260.4km^2$ which has been continuously urbanized during the past couple of decades. The model was calibrated and validated with the coefficient of determination and Nash-Sutcliffe efficiency ranging from 0.8 to 0.7 and 0.7 to 0.5, respectively. The CCCma CGCM2 data by two SRES (Special Report on Emissions Scenarios) climate change scenarios (A2 and B2) of the IPCC (Intergovemmental Panel on Climate Change) were adopted and the future weather data was downscaled by Delta Change Method using 30 years (1977 - 2006, baseline period) weather data. The future land uses were predicted by CA (Cellular Automata)-Markov technique using the time series land use data of Landsat images. The future land uses showed that the forest and paddy area decreased 10.8 % and 6.2 % respectively while the urban area increased 14.2 %. For the future vegetation cover information, a linear regression between monthly NDVI (Normalized Difference Vegetation Index) from NOAA/AVHRR images and monthly mean temperature using five years (1998 - 2002) data was derived for each land use class. The future highest NDVI value was 0.61 while the current highest NDVI value was 0.52. The model results showed that the future predicted runoff ratio ranged from 46 % to 48 % while the present runoff ratio was 59 %. On the other hand, the impact on runoff ratio by land use change showed about 3 % increase comparing with the present land use condition. The streamflow and groundwater recharge was big decrease in the future.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.40 no.1
• /
• pp.34-42
• /
• 2012

This study aims to suggest the secure indicator of parks and green areas according to the properties of the location. There were 31 study areas where negotiation was finalized from 2001 to 2008. The location types were divided by land use type before development and the ratio of mountainous and constructed parks, the ratio of green change and so forth were analyzed according to the those types. As a result, location types were classified into mountainous type, arable land type, urban district type. In terms of locational property, even though the ratio of parks and green areas was the highest at 24.9% in arable land type, the ratio was not much different from the others. Mountainous type depends on the ratio of mountainous park with 10.5%, and arable land type, and urban district type has high ratio of constructed parks. And, the ratio of green change arable land type is degraded by 32.8% and the ratio of mountainous green change is serious in the mountainous type. As a result of the selection of negotiation indicator, arable land type is closely related to the ratio of parks and green areas and the ratio of green change; mountainous type, the ratio of park and green, the ratio of mountainous green change and the ratio of constructed park and green; urban district type, the ratio of green areas.

• Proceedings of the KSRS Conference
• /
• v.2
• /
• pp.764-767
• /
• 2006

It can be important framework data to monitor the change of land-use pattern of river boundary in design and management of river. This study analyzed the change of land-use pattern of Gab- and Yudeung River using time-series aerial images. To do this, we carried out radiation and geometric correction of image, and estimated land-use changes in inland and floodplain. As the analysis of inland, the ratio of residential, commercial, industrial, educational and public area, that is urbanized element, increases, but that of agricultural area shows a decline on the basis of 1990. Also, Minimum Distance Method, which is a kind of supervised classification method, is applied to extract water-body and sand bar layer in floodplain. As the analysis of land-use, the ratio of level-upped riverside land and water-body increases, but that of sand bar decreases. These time-series land use information can be important decision making data to evaluate the urbanization of river boundary, and especially it gives us goodness in river development project such as the composition of ecological habitat.

• Journal of the Korean Geographical Society
• /
• v.40 no.3 s.108
• /
• pp.296-309
• /
• 2005

In this study, we investigated the change of future land-surface and relationships of land-surface change with geo-spatial information, using a Bayesian prediction model based on a likelihood ratio function, for analysing the land-surface change of the Gongju area. We classified the land-surface satellite images, and then extracted the changing area using a way of post classification comparison. land-surface information related to the land-surface change is constructed in a GIS environment, and the map of land-surface change prediction is made using the likelihood ratio function. As the results of this study, the thematic maps which definitely influence land-surface change of rural or urban areas are elevation, water system, population density, roads, population moving, the number of establishments, land price, etc. Also, thematic maps which definitely influence the land-surface change of forests areas are elevation, slope, population density, population moving, land price, etc. As a result of land-surface change analysis, center proliferation of old and new downtown is composed near Gum-river, and the downtown area will spread around the local roads and interchange areas in the urban area. In case of agricultural areas, a small tributary of Gum-river or an area of local roads which are attached with adjacent areas showed the high probability of change. Most of the forest areas are located in southeast and from this result we can guess why the wide chestnut-tree cultivation complex is located in these areas and the capability of forest damage is very high. As a result of validation using a prediction rate curve, a capability of prediction of urban area is $80\%$, agriculture area is $55\%$, forest area is $40\%$ in higher $10\%$ of possibility which the land-surface change would occur. This integration model is unsatisfactory to Predict the forest area in the study area and thus as a future work, it is necessary to apply new thematic maps or prediction models In conclusion, we can expect that this way can be one of the most essential land-surface change studies in a few years.

• Korean Journal of Remote Sensing
• /
• v.22 no.5
• /
• pp.421-425
• /
• 2006

It can be important framework data to monitor the change of land-use pattern of river boundary in design and management of river. This study analyzed the change of land-use pattern of Gab and Yudeung River using time-series aerial images. To do this, we carried out radiation and geometric correction of image, and estimated land-use changes in inland and floodplain. As the analysis of inland, the ratio of residential, commercial, industrial, educational and public area, that is urbanized element, increases, but that of agricultural area shows a decline on the basis of 1990. Also, Minimum Distance Method, which is a kind of supervised classification method, is applied to extract water-body and sand bar layer in floodplain. As the analysis of land-use, the ratio of level-upped riverside land and water-body increases, but that of sand bar decreases. These time-series land use information can be important decision making data to evaluate the urbanization of river boundary, and especially it gives us goodness in river development project such as the composition of ecological habitat.

• Journal of the Economic Geographical Society of Korea
• /
• v.1 no.2
• /
• pp.5-19
• /
• 1998

This attempts to study the change of land use pattern and to (md out the factors to impact the change of the pattern in metropolitan area of Seoul. The data are collected from the 9 units of geomorphological map of the study area with the help of Mapinfo techniques. The data are analyzed statistically with aids of SAS programs. Land use patterns are classified into two: rural and urban and population, urbanization, transportation, industrialization and land development programs are selected as independent variables to change the land use patterns from 1960-1990. The results may be summarized as follows : (1) Arable lands consisted of 30% of the total land in 1960 but the ratio of the arable land decreased to less than 25% in 1990 in the study area. (2) Urban land use types are dominant around southern part of Seoul but rural one are dominant around northern and eastern area of Seoul. (3) Rural type are influenced by population factor but urban land use type are related to transportation and population factors. Land development program is not a significant one to impact the land use pattern in the study area.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.232-232
• /
• 2015

Land use and climate changes are the important factors to determine the runoff and sediment loads from the watershed. The changes also affected to runoff volume/pattern to the dam operation and may cause flood and drought situations in the downstream area. Sirikit Dam is one of the biggest dams in Thailand which cover about 25 % of the runoff into the Central Plain where the Bangkok Capital is located. The study aims to determine the effect of land use change to the runoff/sediment volume pattern and the rainfall-runoff-sediment relationship in the different land use type. Field measurements of the actual rainfall, runoff and sediment in the selected four sub-basins with different type of land use in the Upper Nan Basin were conducted and the runoff ratio coefficients and sediment yield were estimated for each sub-basin. The effect of the land use change (deforestation) towards runoff/sediment will be investigated. The study of the climate change impact on the runoff in the future scenarios was conducted to project the change of runoff volume/pattern into the Sirikit Dam. The improvement of the Sirikit Dam operation rule was conducted to reduce the weakness of the existing operation rules after Floods 2011. The newly proposed dam operation rule improvement will then be evaluated from the water shortage situations in the downstream of Sirikit Dam under various conditions of changes of both land use and climate when compared with the situations based on the existing reservoir operation rules.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.2B
• /
• pp.215-224
• /
• 2008

The effect of streamflow considering future land use change and vegetation index information by climate change scenario was assessed using SLURP (Semi-distributed Land-Use Runoff Process) model. The model was calibrated and verified using 4 years (1999-2002) daily observed streamflow data for the upstream watershed ($260.4km^2$) of Gyeongan water level gauging station. By applying CA-Markov technique, the future land uses (2030, 2060, 2090) were predicted after test the comparison of 2004 Landsat land use and 2004 CA-Markov land use by 1996 and 2000 land use data. The future land use showed a tendency that the forest and paddy decreased while urban, grassland and bareground increased. The future vegetation indices (2030, 2060, 2090) were estimated by the equation of linear regression between monthly NDVI of NOAA AVHRR images and monthly mean temperature of 5 years (1998-2002). Using CCCma CGCM2 simulation result based on SRES A2 and B2 scenario (2030s, 2060s, 2090s) of IPCC and data were downscaled by Stochastic Spatio-Temporal Random Cascade Model (SST-RCM) technique, the model showed that the future runoff ratio was predicted from 13% to 34% while the runoff ratio of 1999-2002 was 59%. On the other hand, the impact on runoff ratio by land use change showed about 0.1% to 1% increase.