TY - JOUR
T1 - Industrial Noise Mapping
T2 - 8th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2023
AU - Putro, Edi Karyono
AU - Mangkoedihardjo, Sarwoko
AU - Karnaningroem, Nieke
AU - Pandabessi, Ellina Sitepu
AU - Syafei, Arie Dipareza
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2023.
PY - 2023/11/17
Y1 - 2023/11/17
N2 - This paper review focuses onto industrial mapping published by researchers in different industrial sectors from different countries published in past 10-year time aimed at mapping software usage and mitigation plans implemented. The review found out that ArcGIS and SurferPLAN were commonly utilized in visualizing the industry measured noise into the contour map and the noise mapping study in each specific discrete study area could be used as initial document or basis for decision maker or town city planning to plan and execute the noise mitigation measures. In the industrial expansion planning, on the other hand, it is obvious that the previous study of noise monitoring and noise mapping could be used as basis of predicting the noise level of any planned machinery installation, heavy equipment operation, or even building construction and its probability of noise propagation as well as predicted noise control measures.
AB - This paper review focuses onto industrial mapping published by researchers in different industrial sectors from different countries published in past 10-year time aimed at mapping software usage and mitigation plans implemented. The review found out that ArcGIS and SurferPLAN were commonly utilized in visualizing the industry measured noise into the contour map and the noise mapping study in each specific discrete study area could be used as initial document or basis for decision maker or town city planning to plan and execute the noise mitigation measures. In the industrial expansion planning, on the other hand, it is obvious that the previous study of noise monitoring and noise mapping could be used as basis of predicting the noise level of any planned machinery installation, heavy equipment operation, or even building construction and its probability of noise propagation as well as predicted noise control measures.
UR - http://www.scopus.com/inward/record.url?scp=85179602318&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202344803059
DO - 10.1051/e3sconf/202344803059
M3 - Conference article
AN - SCOPUS:85179602318
SN - 2267-1242
VL - 448
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 03059
Y2 - 8 August 2023 through 9 August 2023
ER -