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지형조건과 암질환 발생의 상관관계에 관한 연구 -풍수이론을 중심으로-
정귀준 ( Jung Kwijoon ) 한국사진지리학회 2017 한국사진지리학회지 Vol.27 No.3
This research aims to examine the effects that topography conditions have on the occurrence of cancer diseases. The range and method of the research were based on collecting the number of cancer patient data from the National Health Insurance Service data of 16 metropolitan cities and 252 city provinces, and through on-site investigation and satellite map imagery examining what correlation each region’s topography conditions had with the cancer patients. The Pungsu Theory was especially referenced to compare regions with a high number versus a low number of cancer patients, and the effects of the surrounding mountains’ shapes and the wind were carefully scrutinized in the research. Therefore it can be seen that in regions where mountains are rugged and valleys are abundant, there is a high probability of cancer patient occurrence. On the other hand, regions that had few cancer patients were regions that mainly had low hills and also low regions with flat plains. There was no concern for mountain and valley winds, and even when there was wind, it was not harmful to humans because it was dispersed.
환경풍수의 연구 방법론 시론 - 풍수연구를 위한 지역기후모델의 역할을 중심으로 -
옥한석 ( Ock Hansuk ),이종범 ( Lee Chongbum ),지종학 ( Jee Jonghag ),정귀준 ( Jung Kwijoon ) 대한풍수연구학회 2015 대한풍수연구 Vol.1 No.-
This study tries to find out the methodology for environmental Pungsu Study. The methodology is based on the ecologic system which combines land data and microclimate data. Pungsu study goes toward to ecological studies, However, some of scholars do not know how to collect data to model. Pungsu study defines ‘sengki’ as a comfort that is based on the data, such as temperature, precipitation, wind velocity and the amount of sunlight, It is called as comfortable theory compared to the landscape theory of Pungsu. The study based on the comfortable theory suggests environmental Pungsu study that consists of microclimate modelling. This modelling is Weather Research and Forecasting Model (WRF) by topography, soil moiture, soil temperature, landsurface model data. WRF is redefined with HRLDAS and Klima-Michel meaning as Pungsu modelling. In order to complete WRF, it is necessary to choose the sites of good Pungsu helped by landscape Pungsu practitioners, in which data is collected.