CREATING   A   NOISE   POLLUTION   MAP   OF   SOPRON   CITY

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Introduction

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Development of science and technology insures the comfortable life of human being, but at the same time it may cause several health problems. Noise pollution is one of the most important problems that cities facing in the last three decades. Excessive noise causes high stress, sleep disturbance, hearing loss and other illnesses which affect psychological and physical health of people.

This study represents measuring noise and making noise map of Sopron city which can be applied for measures to protect people and environment from noise pollution.

Group of students consisting of Phd student Aizhan Narieva, MSc students Shukhrat Shokirov, Ilhom Abdurahmanov and Gulden Urmanova carried out a research on the topic of "Creating a noise pollution map of Sopron city" by the supervision of Dr. Andrea Podor.

 

 Objectives

The purpose of this study is to measure noise signals caused by transports, machines, factories, constructions, crowded people and others, and to create a noise map of Sopron city.

 

Methods

• Normal day and evening rush hours were selected in order to identify normal and maximum noise level of the city (from 10 am to 1 pm (normal level), from 5 pm to 7 pm (maximum level)) in working days

• Tourist map was used to plan and follow measurement points

• Mobile phone with noise measurement application was used to measure noise

• Trimble Juno SB handheld GPS was used to identify coordinates of measured points and record noise data

• Double measurement carried out for normal and rush hours at the same points (around 300 points)

• Files imported to ArcMap 10.2 and spatial interpolation techniques were used to make a map

  

Result map of Noise pollution measurement and 2D representation can be seen on the image below, red color illustrates the parts which are highly polluted by noise, where bright red and yellow areas describe lower noise polluted places and light green and dark green areas represent very low polluted and not polluted places of city respectively.