한국환경과학회지 제27권 제7호 (p.489-497)

|ORIGINAL ARTICLE|
중소도시 토지이용유형별 이온지수 특성 - 충주시를 대상으로 -

Characteristics of Ion Index by Type of Land Use in Small City - Focused on Chungju
키워드 :
Negative ion,Positive ion,General residential district,General commercial district,Productive green district

목차

Abstract
1. 서 론
2. 재료 및 방법
  2.1. 연구대상지 및 측정지점
  2.2. 조사분석방법
3. 결과 및 고찰
  3.1. 유형별 기상환경
  3.2. 유형별 이온지수 특성
  3.3. 통계분석
4. 결 론
REFERENCES

초록

In this study, the ion index characteristics of small and medium urban land use types were investigated in the city of Chungju. The average temperature for each land use type was in the order: general commercial district (29.59℃) > general residential district (28.34℃) > productive green district (28.31℃). The average relative humidity was in the order: productive green district (70.12%) > general residential district (69.93%) > general commercial district (66.48%). The average wind speed was in the order: productive green district (0.95 m/s) > general commercial district (0.87 m/s) > general residential district (0.54 m/s). Positive and negative ions were investigated to determine the ion index by land use type. The average amount of positive ion generated was in the order: general commercial district (737 ea/cm3) > general residential district (492 ea/㎤) > productive green district (445 ea/㎤). The average negative ion production decreased in the order: productive green district (930 ea/㎤) > general residential district (754 ea/㎤) > general commercial district (744 ea/㎤). The ion index calculated from measured data can be arranged in the order: productive green district (2.09) > general residential district (1.53) > general commercial district (1.01). These results confirm the state of positive and negative ion generation in each land use type. Further, the differences in the ion index by land use type were confirmed. However, a limitation of this study is that simple summer measurements were conducted, and seasonal characteristics were not considered. Therefore, any future investigation and research should consider seasonal variation characteristics.