@inproceedings{80ff82d6a47345b08d1292deefb4040a,
title = "A novel method for detecting acid rain patterns of SO2 and NO2 using pH in image processing",
abstract = "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, SO2 and 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 SO2 and NO2 have a strong influence on the occurrence of acid rains.",
keywords = "Acid rain, Haar wavelet, Image processing, k-means clustering, Normality, pH value, Precipitation",
author = "Naveen Dondapati and {Suresh Kumar Reddy}, K. and Prathyusha Recharla",
year = "2013",
doi = "10.1109/ICGCE.2013.6823392",
language = "British English",
isbn = "9781467361255",
series = "Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013",
publisher = "IEEE Computer Society",
pages = "17--22",
booktitle = "Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013",
address = "United States",
note = "2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 ; Conference date: 12-12-2013 Through 14-12-2013",
}