A Novel Method for Detecting Acid Rain Patterns of SO_2 and NO_2 Using pH in Image Processing

摘要

Acid rain is a major regional scale environmental problem around the globe. To control acid rain pollution and to protect the ecological environment, it is a major need to identify the occurrence of acid rains. This paper presents a methodology for identifying the occurrence of acid rain using pH values calculated from normality by applying k-means clustering and haar wavelet transform on the satellite imagery of water vapor, SO_2and NO_2. If the computed pH value lies in the range of 1 ≤ pH < 5, it is identified as acid rain. The resulted outcome indicates that the amount of rainfall with the concentration of SO_2 and NO_2 have a strong influence on the occurrence of acid rains.