Spatio-temporal patterns of road traffic noise pollution in Karachi, Pakistan

被引:116
|
作者
Mehdi, Mohammed Raza [2 ,3 ]
Kim, Minho [1 ]
Seong, Jeong Chang [2 ]
Arsalan, Mudassar Hassan [4 ]
机构
[1] Ctr Dis Control & Prevent, Div Adult & Community Hlth, Atlanta, GA 30341 USA
[2] Univ W Georgia, Dept Geosci, Carrollton, GA USA
[3] NED Univ Engn & Technol, Karachi 75270, Pakistan
[4] Univ Karachi, Dept Geog, Karachi 75270, Pakistan
关键词
Spatio-temporal noise pattern; Road traffic noise pollution; Noise exposure; Noise and health; Karachi; URBAN-ENVIRONMENT; COMMUNITY NOISE; HEALTH; ANNOYANCE; EXPOSURE; TRANSPORTATION; SLEEP;
D O I
10.1016/j.envint.2010.08.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We studied the spatial and temporal patterns of noise exposure due to road traffic in Karachi City, Pakistan, and found that levels of noise were generally higher during mornings and evenings because of the commuting pattern of Karachi residents. This study found the average value of noise levels to be over 66 dB, which could cause serious annoyance according to the World Health Organization (WHO) outdoor noise guidelines. Maximum peak noise was over 101 dB, which is close to 110 dB, the level that can cause possible hearing impairment according to the WHO guidelines. We found that noise pollution is not an environmental problem reserved for developed countries, but occurs in developing countries as well. For this reason, steps might be required to reduce noise levels caused by road traffic. Published by Elsevier Ltd.
引用
收藏
页码:97 / 104
页数:8
相关论文
共 50 条
  • [41] Mining Spatio-temporal Patterns of Congested Traffic in Urban Areas from Traffic Sensor Data
    Inoue, Ryo
    Miyashita, Akihisa
    Sugita, Masatoshi
    2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 731 - 736
  • [42] SPATIO-TEMPORAL VISUAL RECEPTIVE-FIELDS AS REVEALED BY SPATIO-TEMPORAL RANDOM NOISE
    HIDA, E
    NAKA, K
    ZEITSCHRIFT FUR NATURFORSCHUNG C-A JOURNAL OF BIOSCIENCES, 1982, 37 (10): : 1048 - 1049
  • [43] Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China)
    Chen, Yan
    Zhao, Kangping
    Wu, Yueying
    Gao, Shuoshuo
    Cao, Wei
    Bo, Yan
    Shang, Ziyin
    Wu, Jing
    Zhou, Feng
    WATER, 2016, 8 (03)
  • [44] Inferring Traffic Patterns of Dhaka City: A Spatio-Temporal Analysis Over a Year
    Rahman, Md. Moshiur
    Nower, Naushin
    TRANSPORT AND TELECOMMUNICATION JOURNAL, 2024, 25 (04) : 409 - 426
  • [45] Patterns, noise and spatio-temporal chaos. Proceedings of the European TMR network pattern formation, noise and spatio-temporal chaos in complex systems - Introduction to the project
    Kassner, K
    Frette, V
    PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2000, 337 (1-2): : XI - XII
  • [46] Spatio-temporal visualisation of road traffic flow using the Self organising feature map
    George, SE
    George, DFJ
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS: COMPUTER SCIENCE III, 2002, : 388 - 393
  • [47] Predicting Road Accidents Based on Current and Historical Spatio-temporal Traffic Flow Data
    Jagannathan, Rupa
    Petrovic, Sanja
    Powell, Gavin
    Roberts, Matthew
    COMPUTATIONAL LOGISTICS, ICCL 2013, 2013, 8197 : 83 - 97
  • [48] Using the MapReduce Approach for the Spatio-Temporal Data Analytics in Road Traffic Crowdsensing Application
    Armoogum, Sandhya
    Munchetty-Chendriah, Shevam
    COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2017, 2018, 252 : 405 - 415
  • [49] Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns
    Yang, Lu
    Wang, Lizhen
    EVOLUTIONARY INTELLIGENCE, 2020, 13 (02) : 221 - 233
  • [50] Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns
    Lu Yang
    Lizhen Wang
    Evolutionary Intelligence, 2020, 13 : 221 - 233