An Approach to Removing Large Quantities of Atmospheric Greenhouse Gases
American Journal of Environmental Protection
Volume 5, Issue 3-1, June 2016, Pages: 21-25
Received: Mar. 24, 2016; Accepted: Mar. 27, 2016; Published: May 10, 2016
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John B. Cook, Advanced Data Mining International, Greenville, S.C, USA
Svetlana R. Amirova, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA
Edwin A. Roehl Jr., Advanced Data Mining International, Greenville, S.C, USA
Paul A. Comet, Comet Environmental Consulting, Houston, Texas, USA
Tamara V. Tulaykova, Wave Research Center at A. M. Prokhorov’s General Physics Institute, Moscow, Russia
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A method for removing atmospheric carbon dioxide (СО2) and water vapor is proposed. The method sprays clouds with alkaline compounds to significantly increase the solubility of СО2 in the cloud water, providing for much higher than normal levels of СО2 to be absorbed by rain droplets. The CO2 is transported to the ground for sequestration in surface and/or ground water, and available for carbon fixation by plants and organisms. Presented calculations estimate that 38 gigatonnes of atmospheric CO2 could be removed per year by applying the process over 0.08% to 2.4 % of the Earth’s surface. Laboratory experiments that grew multiple edible plant species irrigated with the modified rainwater indicated yield benefits. A concept for removing atmospheric methane (CH4) is also presented. Powerful lasers would ionize the CH4 to form CO2 that could then be removed by the alkaline-enhanced rainfall method.
Climate Change, Greenhouse Gas, Carbon Dioxide, Methane, Water Vapor, Removal, Alkali, pH Adjustment, Precipitation, Cloud Seeding, Laser
To cite this article
John B. Cook, Svetlana R. Amirova, Edwin A. Roehl Jr., Paul A. Comet, Tamara V. Tulaykova, An Approach to Removing Large Quantities of Atmospheric Greenhouse Gases, American Journal of Environmental Protection. Special Issue: New Technologies and Geoengineering Approaches for Climate. Vol. 5, No. 3-1, 2016, pp. 21-25. doi: 10.11648/j.ajep.s.2016050301.14
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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