解决噪音问题:改进噪声污染监测的技术集成。

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Environmental Health Insights Pub Date : 2024-03-13 eCollection Date: 2024-01-01 DOI:10.1177/11786302241235013
Ivan Estrella, Alex Pacheco, Wilson Marin, Liz Pacheco-Pumaleque, Nestor Cuba-Carbajal, Félix Pucuhuayla-Revatta, Edwin Felix-Poicon, Marco Añaños-Bedriñana
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引用次数: 0

摘要

机动车(尤其是发动机噪音大的机动车)产生的噪音污染是城市环境面临的一个重大挑战,影响生活质量和公众健康。在这种情况下,本研究侧重于实施一项先进的技术解决方案:一个基于网络的系统,专门用于监测和管理秘鲁塔拉波托的噪声污染。该项目的实施分为四个关键阶段。第一阶段是广泛收集数据和确定项目范围。在第二阶段,根据初步观察建立系统架构。第三阶段的重点是评估和改进系统功能,第四阶段则是严格测试和修正。该系统的成功实施极大地改进了噪声污染监测流程,缩短了报告时间,改善了以数据为导向的决策制定。该项目不仅为当局管理和缓解噪声污染提供了宝贵的工具,而且还鼓励了社区对城市声学环境可持续管理的认识和积极参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tackling Noise: Technology Integration for Improved Noise Pollution Monitoring.

Noise pollution derived from motor vehicles, especially those with noisy engines, constitutes a significant challenge in urban environments, impacting quality of life and public health. In this context, the present study focuses on the implementation of an advanced technological solution: a web-based system specifically designed to monitor and manage noise pollution in Tarapoto, Peru. The execution of this project was structured in 4 key phases. The first phase involved extensive data collection and definition of the project scope. In the second phase, the system architecture was established based on initial observations. The third phase focussed on evaluating and improving system functionalities, while the fourth involved rigorous testing and corrections. The successful implementation of this system led to a significant improvement in the noise pollution monitoring process, reducing reporting times and improving data-driven decision making. This project not only provides a valuable tool for authorities in the management and mitigation of noise pollution, but also encourages community awareness and active participation in the sustainable management of the urban acoustic environment.

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来源期刊
Environmental Health Insights
Environmental Health Insights PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.20
自引率
22.20%
发文量
97
审稿时长
8 weeks
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