GI-Devil

Determination of Noise Pollution Risk Points using GIS Techniques

Introduction

Noise pollution is a noise with harmful impact on the activity of human life. Listening to loud noises could damage human ears. So, we want to apply our GIS knowledges to determine the noise pollution risk points.

Objectives

1. To visualize noise pollution level
2. To analyze noise pollution risk points using GIS techniques

Tools and data

1. Tools
   • PostGIS, SQLyog Community
   • GIS software : QuantumGIS (QGIS)
2. Data
   • date and time (timestamp)
   • latitude and longitude
   • noise level (mcp_value)
   • speed (spd)

Methology

1. Import KISTI database into PostGIS (a spatial database management software)
2. Use GIS software (QGIS) to analyze the risk points using spatial operation functions, for examples, rasterization, union,
   intersection, and point statistics/density functions.
3. Create output maps.

Thank you sponsors

• We would like to thank everyone from KISTI for thier supports during this workshop in Korea
• We, also, would like to thank the President of RBRU and the ex-dean of CSIT for thier additional supports