NOISE POLLUTIONS DEPENDING ON WEATHER CONDITIONS IN ANTALYA CITY

Soydan O., BENLİAY A.

FRESENIUS ENVIRONMENTAL BULLETIN, cilt.29, sa.6, ss.4282-4301, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 6
  • Basım Tarihi: 2020
  • Dergi Adı: FRESENIUS ENVIRONMENTAL BULLETIN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Geobase, Greenfile, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.4282-4301
  • Anahtar Kelimeler: Noise, Climatic factors, Landscape architecture, Urban life, ROAD TRAFFIC NOISE, ENVIRONMENTAL NOISE, GREEN SPACES, AIR-QUALITY, EXPOSURE, SLEEP, URBANIZATION, IMPACT
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Noise pollution is the most prominent environmental problems in daily life. Noise pollution causes various serious health problems for people. Special precaution should be taken to prevent noise pollution especially in hospitals, parks, and educational areas which are sensitive to noise. Antalya city has only one central district. In the study, noise levels were measured on the 100. year boulevard in Antalya, Turkey. Results of the study revealed that the average noise level was change from 36.92 dB (A) to 82.68 dB (A). The noise distribution maps belong to the study area were made by using result from measurement in the morning - daytime (07:00-19:00), evening (19:00-23:00) and night (23:00-07:00). Artificial Neural Networks method was used to determine the wind forecast values for the next years. Measurement data obtained from morning, noon and evening were transferred to the artificial neural network software and noise estimation tables were created. A total of 12 noise pollution maps were done using kriging method in ArcGIS Software. As a result of these maps, areas that have problems in terms of noise pollution were identified and recommendations were developed.