도심산림녹지의 식생 및 물리적 구조에 따른 숲 내부 미기상 변화 연구 Impact of Physical and Vegetation Patterns on Parks Environment: A Case Study of Gusan Neighborhood Park, South Korea원문보기
본 연구는 도심지 산지형 공원의 물리적 구조 및 식생구조가 기상에 미치는 영향을 분석하기 위해 물리적 구조인 표고, 경사도, 사면 향, 지형구조와 식생 구조인 현존식생, 흉고직경, 울폐도의 기상과의 평균비교를 실시하였다. 분석 결과, 표고의 경우 상대습도, 풍속, 일사에서 유형 간 차이가 있는 것으로 분석되었으며, 경사도의 경우 풍속을 제외한 모든 기상요소에서 유형 간 차이가 있는 것으로 분석되었다. 사면 향의 경우 기온과 상대습도에서 유형간 차이나 있는 것으로 분석되었다. 지형구조의 경우 계곡부, 사면부, 능선부로 구분하였으며, 상대습도에서 측정 값의 차이가 있는 것으로 분석되었으나 기온, 풍속, 일사량에서는 일정한 경향과 유형간 차이가 미미한 것으로 분석되었다. 식생구조 중 현존식생의 경우 일사량을 제외한 기온, 상대습도, 풍속 항목에서 유형 간 차이가 있는 것으로 분석되었으며, 흉고직경의 경우 기온, 풍속, 일사량 항목에서 유형 간 유의한 차이가 있는 것으로 분석되었다. 울폐도의 경우 기온과 일사량에서 유의한 차이가 있는 것으로 분석되었다. 식생 및 물리적구조가 기상환경에 미치는 영향 분석을 위한 관계분석결과 기온의 경우 경사도와 사면 향, 흉고직경과 울폐도에서 영향을 받는 것으로 분석되었으며, 상대습도의 경우 물리적구조인 표고, 경사도, 사면 향, 지형구조와 식생구조인 현존식생과 울폐도에서 상관성이 분석되었다. 풍속의 경우 표고, 현존식생, 흉고직경에서 상관성이 분석되었으며, 일사량의 경우 경사도와 흉고직경, 울폐도간의 상관성이 분석되었다. 전반적으로 기온과 상대습도, 일사량에 가장 큰 영향을 주는 인자는 울폐도로 분석되었으며, 다음으로 경사도에서 상관관계가 높게 분석되는 경향이 나타났다. 흉고직경 또한 기온과 일사량간의 상관성이 매우 높은 것으로 분석되었으며 풍속과의 상관관계도 나타났으나 상대습도는 통계적인 유의성이 나타나지 않았다.
본 연구는 도심지 산지형 공원의 물리적 구조 및 식생구조가 기상에 미치는 영향을 분석하기 위해 물리적 구조인 표고, 경사도, 사면 향, 지형구조와 식생 구조인 현존식생, 흉고직경, 울폐도의 기상과의 평균비교를 실시하였다. 분석 결과, 표고의 경우 상대습도, 풍속, 일사에서 유형 간 차이가 있는 것으로 분석되었으며, 경사도의 경우 풍속을 제외한 모든 기상요소에서 유형 간 차이가 있는 것으로 분석되었다. 사면 향의 경우 기온과 상대습도에서 유형간 차이나 있는 것으로 분석되었다. 지형구조의 경우 계곡부, 사면부, 능선부로 구분하였으며, 상대습도에서 측정 값의 차이가 있는 것으로 분석되었으나 기온, 풍속, 일사량에서는 일정한 경향과 유형간 차이가 미미한 것으로 분석되었다. 식생구조 중 현존식생의 경우 일사량을 제외한 기온, 상대습도, 풍속 항목에서 유형 간 차이가 있는 것으로 분석되었으며, 흉고직경의 경우 기온, 풍속, 일사량 항목에서 유형 간 유의한 차이가 있는 것으로 분석되었다. 울폐도의 경우 기온과 일사량에서 유의한 차이가 있는 것으로 분석되었다. 식생 및 물리적구조가 기상환경에 미치는 영향 분석을 위한 관계분석결과 기온의 경우 경사도와 사면 향, 흉고직경과 울폐도에서 영향을 받는 것으로 분석되었으며, 상대습도의 경우 물리적구조인 표고, 경사도, 사면 향, 지형구조와 식생구조인 현존식생과 울폐도에서 상관성이 분석되었다. 풍속의 경우 표고, 현존식생, 흉고직경에서 상관성이 분석되었으며, 일사량의 경우 경사도와 흉고직경, 울폐도간의 상관성이 분석되었다. 전반적으로 기온과 상대습도, 일사량에 가장 큰 영향을 주는 인자는 울폐도로 분석되었으며, 다음으로 경사도에서 상관관계가 높게 분석되는 경향이 나타났다. 흉고직경 또한 기온과 일사량간의 상관성이 매우 높은 것으로 분석되었으며 풍속과의 상관관계도 나타났으나 상대습도는 통계적인 유의성이 나타나지 않았다.
This study aims to investigate the impact of the physical structure, such as altitude, slope gradient, slope direction, and topographical structure, and the vegetation pattern, such as existing vegetation, diameter of breast height (DBH), and crown density, on climate. The analysis results showed th...
This study aims to investigate the impact of the physical structure, such as altitude, slope gradient, slope direction, and topographical structure, and the vegetation pattern, such as existing vegetation, diameter of breast height (DBH), and crown density, on climate. The analysis results showed the significant difference in relative humidity, wind speed, and solar radiation at varying altitudes, the significant difference in all climate factors except for the wind speed at varying slope gradient, and significant difference in temperature and relative humanity at varying slope direction. The topographic structures were divided into valleys, slopes, and ridges. They were found to differ in relative humidity. However, the differences between constant trends and types were found to be insignificant concerning temperature, wind speed, and solar radiation. Significant differences in temperature, relative humidity, and wind speed were recorded with changing existing vegetation. The DBH showed a significant difference in temperature, wind speed, and solar radiation. The crown density showed a significant difference in temperature and solar radiation. The result of the relationship analysis for the analysis of the effect of vegetation pattern and physical structure on the meteorological environment showed that temperature was affected by slope gradient, slope direction, DBH, and crown density. The relative humidity was correlated with the altitude, slope gradient, slope direction, and topological structure in physical structure and the existing vegetation and crow density in vegetation pattern. The wind speed was correlated with the altitude, existing vegetation, and DHB, and the solar radiation was correlated with the slope gradient, DHG, and crown density. The crown density was the most overall significant factor in temperature, relative humidity, and solar radiation, followed by the slope gradient. DBH was also found to be highly correlated with temperature and solar radiation and significantly correlated with wind speed, but there was no statistically significant correlation with relative humidity.
This study aims to investigate the impact of the physical structure, such as altitude, slope gradient, slope direction, and topographical structure, and the vegetation pattern, such as existing vegetation, diameter of breast height (DBH), and crown density, on climate. The analysis results showed the significant difference in relative humidity, wind speed, and solar radiation at varying altitudes, the significant difference in all climate factors except for the wind speed at varying slope gradient, and significant difference in temperature and relative humanity at varying slope direction. The topographic structures were divided into valleys, slopes, and ridges. They were found to differ in relative humidity. However, the differences between constant trends and types were found to be insignificant concerning temperature, wind speed, and solar radiation. Significant differences in temperature, relative humidity, and wind speed were recorded with changing existing vegetation. The DBH showed a significant difference in temperature, wind speed, and solar radiation. The crown density showed a significant difference in temperature and solar radiation. The result of the relationship analysis for the analysis of the effect of vegetation pattern and physical structure on the meteorological environment showed that temperature was affected by slope gradient, slope direction, DBH, and crown density. The relative humidity was correlated with the altitude, slope gradient, slope direction, and topological structure in physical structure and the existing vegetation and crow density in vegetation pattern. The wind speed was correlated with the altitude, existing vegetation, and DHB, and the solar radiation was correlated with the slope gradient, DHG, and crown density. The crown density was the most overall significant factor in temperature, relative humidity, and solar radiation, followed by the slope gradient. DBH was also found to be highly correlated with temperature and solar radiation and significantly correlated with wind speed, but there was no statistically significant correlation with relative humidity.
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제안 방법
1ver) using a numerical map of the national territory information map (2018). For analysis of plantation structure in the target area, the data collected from the field survey was investigated for the existing plant life, and further investigation of the diameter at breast height and the crown density were used in the analysis. For meteorological data, we observed temperature, relative humidity and wind speed by using the air velocity meter (TSI-9545, USA).
In order to understand the impact of the vegetation and physical structure of the mountainous parks in the city center on the local weather, the topographical and vegetation structures were analyzed through preliminary research and on-site surveys. In topographic analysis, the elevation, gradient and aspect of the target site was analyzed through Auto Cad Map 2016 and QGIS(QGIS Desktop 3.
대상 데이터
The Gusan Neighborhood Park is located in Mount Gusan-dong, Eunpyeong-gu, and it is a mountainous park in the city center(Figure 1&2). The park is at an altitude of 92 meters from sea level and covers an area is about 32,300 square meters. Compared to the small park area, the elevation is slightly higher, and there is a relatively steep promenade, and benches are built in the middle of the promenade.
데이터처리
Different letters in the same column indicate a significant difference at P < 0.05 according to Duncan's multiple range test (DMRT).
One-way ANOVA was used to analyze the effects of changes in the physical and vegetation structure of the target site. For dependent variables with less than three variables, the analysis was performed through independent sample t-test. The influence of independent variables on the weather was also analyzed through route analysis.
One-way ANOVA was performed with three slope variables i.e. less than 10°, 10° - 30° and above 30° gradient respectively in order to determine the effect of difference in slope gradient on the climate factors.
The existing vegetation, the slope, topography and plant life were taken as independent variables. One-way ANOVA was used to analyze the effects of changes in the physical and vegetation structure of the target site. For dependent variables with less than three variables, the analysis was performed through independent sample t-test.
To understand the effect of terrain on the environmental factors, three variables that is Valley, Slope and Ridge were subjected to One-way ANOVA. The statistical analysis rejected the null hypothesis that there was no difference in the values due to the difference in the terrain structure as significant probability was less than 0.
We carried out one-way ANOVA of the crown density to explain the effect of crown density on weather factors with statistical support(Table 6). The variables were set at variable numbers lees than 60%, 60% to 80% and more than 80% respectively.
성능/효과
05 and that significance was not verified, so there was no change in the mean value for relative humidity due to differences in the thorax diameter. It was concluded that the temperature, wind speed, and solar irradiance vary depending on the DBH, and that the relative humidity is somewhat unaffected by the tree stem diameter.
The variables were set at variable numbers lees than 60%, 60% to 80% and more than 80% respectively. The analysis confirmed significance of the temperature and the solar radiation with a significant probability of 0.01 or lower, rejecting the null hypothesis that there was no difference in the meteorological environment measurement values due to the differences in the crown density, and adopting the alternative hypothesis that at least one type of difference was caused by the difference in the crown density. On the other hand, the null hypothesis was adopted that there was no change in the average value for relative humidity and wind speed due to differences in crown density as significance was not noticed for probability of 0.
less than 10°, 10° - 30° and above 30° gradient respectively in order to determine the effect of difference in slope gradient on the climate factors. The analysis proved significant at 0.01 level for the temperature, wind speed and solar irradiance, thus rejecting the null hypothesis that there was no difference in climate factors due to varying slope gradient. However, for relative humidity, the null hypothesis that the relative humidity does not change due to the difference in gradient was confirmed, although the differences in other climate factors were significant with changing slope gradient(Table 10).
The One-Way ANOVA demonstrated the effect of terrain on the climate factors. The analysis showed the significant probability for temperature(0.161), and confirmed the null hypothesis that changes in elevation do not affect the temperature in neighborhood parks. In case of relative humidity, the alternative hypothesis was adopted that the change in relative humidity caused by the difference in elevation, at least one group gives significantly lower result probability level 0.
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