Remote Sensing을 이용한 통계학적 호소수질 모형에 관한 연구 = A Study on the Statistical Lake Water Quality Model using Remote Sensing

다국어 초록 (Multilingual Abstract)

This study is a trial for the effective water quality management of wide water systems like oceans and lakes. This introduced the remote sensing that acquired the information utilizing reflection character. The remote sensing model and statistic analysis of the accumulated water data were developed. The developed model analyzed precise degree. The results of this study are as follows;
1. The concentration of 8 water quality data ; pH, temperature, COD, BOD, T-N, T-P, SS and chlorophyll-a were investigated to detect variations. Statistic analysis shows that this variation follows one year cycle peaking at 6 months then declining to the original level.
2. The meteorological data : rainfall and solar radiation quantity were investigated.
3. A correlation between the reflective degree of the TM band and chlorophyll-a was found. The first and second order multi-regression model was used.
4. The concentration range of chlorophyll-a was reported by the first and second order multi-regression models which was applied by satellite image on June 20th 1995.
In consequence，the latter`s application showed a high declination range ±1.5 and ±1.0 of measure value and estimate value between the first and second order multi―regression models.