SIMRA:在国家水安全框架(NWSF)内进行单一综合微生物风险评估和管理的交互式网络工具

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. Murei, M.N.B. Momba
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引用次数: 0

摘要

在这项研究中,我们提出了一个单一的综合微生物风险评估(SIMRA)工具,这是一个基于web的应用程序,提供了一个多层次的水资源微生物风险评估方法,并根据资源可用性适应三种不同的用户熟练程度进行微生物风险评估。主要目标是整合水安全计划和卫生安全计划的组成部分,并开发一个基于网络的单一应用平台,从而能够评估、管理和监测与各种类型的水相关的可能风险。该工具风险评估过程中的关键参数是指标微生物和病原体的浓度。SIMRA基于网络的工具可以进行全面的水和卫生分析、风险评估、水资源的地理空间测绘,并对水源的安全水平产生反馈。web服务器可以在https://simraweb.web.app/上公开访问。在这里,我们概述了SIMRA的发展及其主要特点,并展示了它的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIMRA: An interactive web-based tool for single integrated microbial risk assessment and management within the national water security framework (NWSF)
In this study, we present a single integrated microbial risk assessment (SIMRA) tool, which is a web-based application that offers a multi-tiered approach to microbial risk assessment of water resources, and accommodates three different user proficiency levels for microbial risk assessment based on resource availability. The main objective was to integrate the components of water safety plans and sanitation safety plans and develop a single web-based application platform that enables the assessment, management, and monitoring of possible risks associated with various types of water. Key parameters in the risk assessment process in the tool are concentration of indicator microorganisms and pathogens. The SIMRA web-based tool enables comprehensive water and sanitation analysis, risk assessment, geospatial mapping of water resources, and generates feedback on the level of safety of the water source. The web server is publicly accessible at https://simraweb.web.app/. Here, we outline the development of SIMRA and its main features and demonstrate its applicability.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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