Optimization of Warm-Cloud Seeding Agents by Microencapsulation Techniques
نویسنده
چکیده
Microencapsulation technology, whereby single crystals or solution droplets are chemically “packaged” inside thin coating shells, provides a method of optimizing the chemical and physical properties of warm-cloud seeding agents. Ethylcellulose-encapsulated urea and sodium chloride particles have been produced in the lsboratory and their hygroscopic properties investigated gravimetrically, microscopically in a diffusion chamber, and optically in a large fog chamber. These investigations indicate that microencapsulation provides for a relatively narrow particle spectrum with a sharp lower size limit, gives the particles more structural integrity, prevents degeneration of the particle spectrum and formation of “fines” during handling and dispersal, and greatly reduces clumping and caking during storage, handling, and dissemination. Hygroscopic properties of the seeding particles are not affected by the presence of the encapsulating coating. As an encapsulated particle grows by vapor diffusion in a humid environment, its core material is released by diffusion through its permeable but insoluble ethylcellulose shell. Individual seeding particles are thus unmistakably “tagged,” providing an objective method for evaluating the seeding effects. The process lends itself to large-scale production and promises to be more ecosomical than mechanical milling and sizing to an equivalent size spectrum.
منابع مشابه
Cloud liquid water content responses to hygroscopic seeding of warm clouds
The cloud liquid water content (CLWC) data in time and space from a total of 96 pairs of target (T) and control (C) experiments were analysed in this study to compare the responses of CLWC to hygroscopic seeding of warm clouds. Our results of various approaches taken for this analysis have indicated significant modifications in the CLWC for the T clouds as against C clouds. Analysis of changes ...
متن کاملEffect of hygroscopic seeding on warm rain clouds
Effect of hygroscopic seeding on warm rain clouds – numerical study using a hybrid cloud microphysical model N. Kuba and M. Murakami Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan Meteorological Research Institute (MRI), Tsukuba, Japan Received: 28 October 2009 – Accepted: 30 October 2009 – Published: 12 November 2009 Corres...
متن کاملEffect of hygroscopic seeding on warm rain clouds – numerical study using a hybrid cloud microphysical model
The effect of hygroscopic seeding on warm rain clouds was examined using a hybrid cloud microphysical model combining a Lagrangian Cloud Condensation Nuclei (CCN) activation model, a semi-Lagrangian droplet growth model, and an Eulerian spatial model for advection and sedimentation of droplets. This hybrid cloud microphysical model accurately estimated the effects of CCN on cloud microstructure...
متن کاملExperiments Pertaining to Warm-fog Clearing
An attempt has been made quantitatively to assess the prospects for modifying warm fogs by seeding them with condensation nuclei. This has been done by calculating the time-dependent changes in the sizes and concentrations of fog droplets that are predicted by the ordinary equations of diffusion of water vapor to and from the surface of droplets. Their size, molality, and ambient water-vapor de...
متن کاملBandwidth and Delay Optimization by Integrating of Software Trust Estimator with Multi-User Cloud Resource Competence
Trust Establishment is one of the significant resources to enhance the scalability and reliability of resources in the cloud environment. To establish a novel trust model on SaaS (Software as a Service) cloud resources and to optimize the resource utilization of multiple user requests, an integrated software trust estimator with multi-user resource competence (IST-MRC) optimization mechanism is...
متن کامل