Literature DB >> 30666507

Progressing urban climate research using a high-density monitoring network system.

Ivan B Šećerov1, Stevan M Savić2, Dragan D Milošević2, Daniela M Arsenović2, Dragan M Dolinaj2, Srdjan B Popov3.   

Abstract

An increasing number of urban meteorological networks (UMNs) and automated data acquisition are irreplaceable tools in modern urban climate monitoring, evaluation, and analysis. The most serious issue in such systems is data loss, caused primarily by communication problems between stations and servers. The Novi Sad Urban Network (NSUNET) consists of 28 remote stations and 2 servers built solely on open-source technologies. It is used for monitoring climate peculiarities and acquiring long-term meteorological data from the urban area of Novi Sad, as well as for the early warning notification to the city emergency services of the current urban weather conditions. Since its deployment, the system has managed to overcome most of the problems related to today's UMNs, to operate at a low Internet service fee, and ensure high reliability and performance on low-budget hardware. This study includes details on how to develop such a system and it presents a statistical analysis of the NSUNET system's performances and the measurement data. Furthermore, this kind of monitoring system provides good results in the analysis of air/surface temperature and outdoor human thermal comfort in the local climate zones (LCZs) of urban and surrounding areas and can help identify hot spots/districts in the urban area.

Entities:  

Keywords:  Cost-effective network; NSUNET system; Novi Sad (Serbia); Open-source technologies; Urban monitoring network; Wireless sensor network

Mesh:

Year:  2019        PMID: 30666507     DOI: 10.1007/s10661-019-7210-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  A citizen centred urban network for weather and air quality in Australian schools.

Authors:  Giulia Ulpiani; Melissa Anne Hart; Giovanni Di Virgilio; Angela M Maharaj; Mathew J Lipson; Julia Potgieter
Journal:  Sci Data       Date:  2022-03-30       Impact factor: 6.444

2.  A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003 to 2019.

Authors:  Iván Gutiérrez-Avila; Kodi B Arfer; Sandy Wong; Johnathan Rush; Itai Kloog; Allan C Just
Journal:  Int J Climatol       Date:  2021-03-18       Impact factor: 3.651

  2 in total

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