Countries around the world have responded to the problems associated with rapid urban growth and increasingly land-consumptive development patterns by creating a wide range of policy instruments designed to manage urban growth. Of the array of growth management techniques, urban containment policies are considered by some to be a promising approach. This paper focuses on greenbelts, the most restrictive form of urban containment policy. The long-standing greenbelt of Seoul, Republic of Korea is examined as a case study.
This study examined the separate and combined impacts of future changes in climate and land use/land cover (LULC) on streamflow in the Hoeya River Basin, South Korea, using the representative concentration pathway (RCP) 4.5 and 8.5 scenarios of the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). First, a LULC change model was developed using RCP 4.5 and RCP 8.5 storylines and logistic regression.
Soil loss poses a significant threat to the long-term sustainability of hydrological systems, the environment, and agriculture. In this regard, efficient soil management relies on accurate quantification of soil loss. To this end, the Organization for Economic Cooperation and Development (OECD) standard of soil erosion, developed for agricultural areas, has been applied in many countries, including South Korea.
This paper discusses the economic implications of the preferential trade agreements that New Zealand is currently negotiating, using a computable general equilibrium modelling framework. The New Zealand dairy industry is a particular focus in the results, which come from the GTAP model produced by Purdue University.
The purpose of this study is to understand changes in green infrastructure (GI) in the Seoul metropolitan area, South Korea, focusing on the critical GI components of hubs and links. We applied a morphological analysis tool, morphological spatial pattern analysis (MSPA), to explore GI in the Seoul metropolitan area. For input data to run MSPA, we used 30-m pixel-sized land cover data of 2000 and 2009 provided by the Ministry of Environment of Korea. Land cover data are used as foundational information for GI network mapping.
It is well recognized that aggregation of the inhomogeneous data for soils, management, and weather within a land unit for crop simulation plays a key role in the scaling-up task of crop simulation at regional scales. While the other spatial data could be obtained at a desired level, weather data might not be available in mountainous regions where the production system is comprised of many small farms.
South Korea is a highly urbanized and industrialized country. Increased urbanization and greater specialization have led to rising incomes, and changes in food production and consumption patterns. Changes in consumption and increased production specialization have also resulted in changes in trading patterns, with South Korea emerging as a leading importer of agri-food products.South Korea places great importance on self-sufficiency in food staples, and achieving income parity between rural and urban households.
Soil moisture is a crucial component in the hydrologic cycle. The analysis of soil moisture variability is challenging because soil moisture is dependent on physical factors such as: antecedent precipitation, soil texture, land cover, and topography. This study investigated soil moisture variability, validated the utility of temporal stability analysis for measuring areal mean soil moisture, and identified factors that were strongly related to temporal stability characteristics at small mountainous sites in Northeast Asia.
The purpose of this study is to detect landslide locations from satellite images and use them for landslide susceptibility mapping in the Sagimakri area, Korea using a geographic information system and a data-driven weight of evidence model. The landslide location areas were identified from Korea multipurpose satellite images by means of change detection technique and further verified by extensive field survey. Subsequently, landslide locations were randomly selected in a 70:30 ratio for training and validation of the model, respectively.
Vegetable production has an increasing importance in most of the Asian countries. The leader in production per capita is China followed by South Korea, North Korea and Vietnam. In Vietnam, vegetable production is at the moment on 4th place of all agricultural commodities. In the past, in Vietnam as in other South-East-Asian countries, the production of rice, sugar cane, cassava and maize often as monoculture was typical.