期刊名称：International Journal of Soft Computing and Software Engineering
电子版ISSN：2251-7545
出版年度：2014
卷号：4
期号：3
页码：56-67
DOI：10.7321/jscse.v4.n3.2
出版社：Advance Academic Publisher
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 precipitation and SO2. If the computed pH value lies in the range of 1 ≤ pH ≤ 5, it is identified as acid rain. The results indicate that wind direction, wind speed, amount of rainfall, atmospheric pressure and concentration of SO2 show a considerable influence on the occurrence of acid rain.
关键词：Acid rain ; Haar wavelet ; Image processing ; k-means clustering ; Normality ; Precipitation ; pH value
