Title: A software for water pollution treatment technology evaluation by supporting customisable indicator systems for specific scenarios

Authors: Bo Song; Chen Chen; Rongrong Kou

Addresses: School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' Environmental Development Center, Ministry of Ecology and Environment, China

Abstract: Determining the best water pollution treatment technology (WPTT) is one of the biggest challenges in water pollution management. We proposed the point of 'specific evaluations for specific scenarios' to select appropriate technologies that can improve the efficiency of water pollution treatment. This point refers to establishing specific indicator systems for water pollution treatment technology evaluation (WPTTE) for specific scenarios. A software was developed to achieve 'specific evaluations for specific scenarios' by supporting the rapid construction of customised indicator systems. The functions of this software include data management, indicator system matching, visualising construction of indicator systems, comprehensive evaluation and graphic display. In addition, the software was demonstrated by an example of ammonia nitrogen wastewater treatment technology selection. The software can meet the demands of multi-scene and multi-role evaluation and make the establishment of indicator systems more straightforward and effective. The study provides a solid foundation for 'specific evaluations for specific scenarios'.

Keywords: water pollution; treatment technology; technology evaluation; specific evaluations for specific scenarios; indicator system; analytic hierarchy process; AHP; evaluation software.

DOI: 10.1504/IJHST.2024.135140

International Journal of Hydrology Science and Technology, 2024 Vol.17 No.1, pp.75 - 90

Received: 25 Apr 2022
Accepted: 09 Aug 2022
Published online: 01 Dec 2023 *

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