학술논문
Modeling the Efficacy of Geopolymer Mosquito Repellent Strips Leachate Distribution Using Meta-heuristic Optimization
Document Type
Chapter
Author
Das, Kedar Nath, Editor; Bansal, Jagdish Chand, Editor; Deep, Kusum, Editor; Nagar, Atulya K., Editor; Pathipooranam, Ponnambalam, Editor; Naidu, Rani Chinnappa, Editor; Rupini, D. K. D. B.; Nagaraju, T. Vamsi; Kacprzyk, Janusz, Series Editor; Pal, Nikhil R., Advisory Editor; Bello Perez, Rafael, Advisory Editor; Corchado, Emilio S., Advisory Editor; Hagras, Hani, Advisory Editor; Kóczy, László T., Advisory Editor; Kreinovich, Vladik, Advisory Editor; Lin, Chin-Teng, Advisory Editor; Lu, Jie, Advisory Editor; Melin, Patricia, Advisory Editor; Nedjah, Nadia, Advisory Editor; Nguyen, Ngoc Thanh, Advisory Editor; Wang, Jun, Advisory Editor
Source
Soft Computing for Problem Solving : SocProS 2018, Volume 1. 01/01/2020. 1048:839-847
Subject
Language
English
ISSN
2194-5357
2194-5365
2194-5365
Abstract
Many mosquito repellents were available in the markets in various forms such as coils, plug-in repellents, papers, creams, and other repellent imparted synthetics and fibers are in vogue. Moreover, all the aforementioned repellents were used in in-doors, applying for human bodies and some of them are imparted in clothes and accessories. However, one should give prime importance to control mosquitoes at their breeding stage itself in stagnant waters or drain waters. In this context, geopolymer soils imparted with mosquito repellent was developed to eradicate mosquitoes at their breeding stage itself. This paper presents the leachate distribution assessment of VR-geo mosquito repellent strip using swarm-assisted multi-linear regression. A model equation has been developed for the prediction of leachate distribution in terms of pH using input parameters like volume of the geopolymer repellent strip, molarity of NaOH, Na2SiO3/NaOH ratio, and alkali-activator content.