智能噪声污染图的可靠性

IF 1.7 Q2 ACOUSTICS Noise Mapping Pub Date : 2023-01-01 DOI:10.1515/noise-2022-0167
Z. M. Nasser, A. H. Abedali, H. A. Alkanaani
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引用次数: 0

摘要

伊拉克首都巴格达的噪音污染问题日益严重,这是由于交通流量的增加。这带来了相当大的风险,特别是在连接萨德尔城区等人口稠密社区与首都中心社区的主要道路上。为了使城市发展和环境政策的决策者了解需要补救和管制的高价值噪音污染,制作了噪音地图。然而,在尽可能短的时间内创建更可靠的噪声图通常面临两个基本问题:测量噪声和确定绘制方法的时间要求过高。因此,地理信息系统(GIS)软件在产生噪声地图中的作用是显而易见的,因为很难增加测量的空间密度并将它们与空间信息相结合。因此,需要一种合适的插值方法。本文通过计算Moran’s I指数来评价实测交通噪声点的空间自相关性。通过对智能地图插件普通克里格法(OK)和逆距离加权法(IDW)确定性插值法的比较,确定了制作萨德尔城主要出入口道路噪声地图的最佳方法。采用性能最好的方法对噪声值进行建模。此外,预测栅格数据在空间背景下显示,作为识别和理解选定研究区域交通噪声水平的起点和参考。选取的交通噪声测量点位置采用组织均匀的方式确定,主要出入口道路噪声点相对,每条道路连续噪声点之间的距离为100 m。在每个选定点使用SVAN977声音和振动分析仪进行交通噪声测量。在每个测点,分别在上午7-9点、下午12-2点和下午4-6点三个峰值时间获得三个噪声值(LAeq、Max、Min)。使用QGIS软件对两种插值方法进行比较,其优势在于使用了便于空间分析、处理工具和算法的插件。智能地图插件提供了在OK插值方法中选择适当的半变异函数的工具。利用均方根误差对两种插值方法进行比较,以确定最适合研究区域的交通噪声地图制作方法。结果表明,使用OK的智能地图插件优于IDW方法,因为空间分布格局和均匀性影响插值精度。此外,通过对LAeq、Max、Min三个噪声属性的分析,发现当Moran’s I值较高时,智能地图插件(OK)的性能优于IDW。
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Reliability of smart noise pollution map
Abstract The problem of noise pollution in Baghdad, the capital city of Iraq, is getting worse every day as a result of the increased volume of traffic. This presents a considerable risk, particularly on the main roads that connect densely populated neighborhoods such as the Al-Sadr City district with the central neighborhoods of the capital. In order to inform decision-makers in urban development and environmental policy about the high values of noise pollution that require remediation and regulation, noise maps are produced. However, two fundamental problems are generally faced in creating a more reliable noise map in the shortest possible time: the excessive time requirements for measuring noise and determining the method of map creation. Therefore, the role of geographic information system (GIS) software in producing noise maps is evident due to the difficulty of increasing the spatial density of measurements and integrating them with spatial information. Hence, an appropriate interpolation method is required. In this article, Moran’s I index was calculated to assess the spatial autocorrelation of measured traffic noise points. A comparison was made between the Smart Map Plugin ordinary kriging (OK) and the inverse distance weighting (IDW) deterministic interpolation method to determine the best method for producing noise maps for the main entrance and exit roads of Al-Sadr City. The noise values were modeled using the best-performing method. Furthermore, the predictive raster data are displayed in the spatial context as a starting point and reference for identifying and understanding the levels of traffic noise in the selected study area. The locations of selected points for measuring traffic noise values were determined in an organized and homogeneous manner, where noise points for the main entrance and exit roads were opposite each other, and the distance between consecutive noise points on each road was 100 m. Traffic noise measurements were carried out at each selected point using the SVAN977 sound and vibration analyzer. At each measurement point, three noise values (LAeq, Max, Min) were obtained during the three peak times, 7–9 AM, 12–2 PM, and 4–6 PM. QGIS software was used to compare the two interpolation methods, with its strength lying in the use of plugins that facilitate spatial analysis, processing tools, and algorithms. The Smart Map Plugin provided facilities to choose the appropriate semi-variogram in the OK interpolation method. The root mean square error was used to compare the two interpolation methods in order to determine the most suitable method for producing traffic noise maps in the study area. The results indicated that the Smart Map Plugin using OK outperformed the IDW method, as spatial distribution pattern and homogeneity affect the accuracy of interpolation. Moreover, based on the analysis of the three noise attributes (LAeq, Max, Min), the performance of the Smart Map Plugin (OK) was found to be better than IDW when the Moran’s I value was high.
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来源期刊
Noise Mapping
Noise Mapping ACOUSTICS-
CiteScore
7.80
自引率
17.90%
发文量
5
审稿时长
12 weeks
期刊介绍: Ever since its inception, Noise Mapping has been offering fast and comprehensive peer-review, while featuring prominent researchers among its Advisory Board. As a result, the journal is set to acquire a growing reputation as the main publication in the field of noise mapping, thus leading to a significant Impact Factor. The journal aims to promote and disseminate knowledge on noise mapping through the publication of high quality peer-reviewed papers focusing on the following aspects: noise mapping and noise action plans: case studies; models and algorithms for source characterization and outdoor sound propagation: proposals, applications, comparisons, round robin tests; local, national and international policies and good practices for noise mapping, planning, management and control; evaluation of noise mitigation actions; evaluation of environmental noise exposure; actions and communications to increase public awareness of environmental noise issues; outdoor soundscape studies and mapping; classification, evaluation and preservation of quiet areas.
期刊最新文献
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