Literature DB >> 17544482

Long-term visibility trends in one highly urbanized, one highly industrialized, and two rural areas of Taiwan.

Ying I Tsai1, Su-Ching Kuo, Wen-Jhy Lee, Chien-Lung Chen, Pei-Ti Chen.   

Abstract

Visibility trends on the island of Taiwan were investigated employing visibility and meteorological (1961-2003), and air pollutant (1994-2003) data from one highly urbanized center (Taipei), one highly industrialized center (Kaohsiung), and two rural centers (Hualien and Taitung). Average annual visibility (1961-2003) was significantly higher at the rural centers. Unlike at the other centers, visibility in Taipei improved between 1992 (6.6 km) and 2003 (9.9 km), and this can be linked to the construction and expansion of a mass transit rail system in Taipei, the use of which has helped reduce emissions of traffic related air pollutants, particles, and NO2. This has left Kaohsiung with the lowest annual visibility since 1994, despite its 1961-2003 average being superior to that of Taipei. Precipitation lowers visibility, as demonstrated by the all-centers correlation coefficient for visibility and precipitation of -0.92. Hence, frequency of precipitation is one of the factors contributing to the average annual visibility number. The poorest air quality category ('episode'), most commonly experienced in Taipei and Kaohsiung, was characterized by relatively high concentrations of PM10 and NOx at those centers, with comparatively high atmospheric pressure and comparatively low visibility and wind speed. Excepting O3, pollutant concentrations were slightly higher during weekdays, although there was no consistent, significant difference in weekday-weekend visibility. Principal component analysis demonstrated that visibility was markedly reduced in Taipei, Kaohsiung, and Hualien by increased vehicular emissions, road traffic dust, and industrial activity, but not in Taitung, where visibility was as a result superior to that at the other centers and degradation in visibility was likely a response to long-range transport of pollutants rather than local sources. Optimal empirical regression models indicated a negative impact on visibility for each of PM10, SO2 and NO2, particularly so for PM10, and validity of these models for Taipei, Kaohsiung, and Hualien was confirmed by correlation coefficients of simulated and observed average visibility of 0.63-0.72 for daily visibility and 0.85-0.88 for monthly visibility. For Taitung these figures were only 0.46 and 0.50, respectively, indicating that simulations for Taitung should include long-range transport as a pollutant source.

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Year:  2007        PMID: 17544482     DOI: 10.1016/j.scitotenv.2007.04.048

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

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Authors:  Jun-Ming Wan; Mang Lin; Chuen-Yu Chan; Zhi-Sheng Zhang; Guenter Engling; Xue-Mei Wang; Iat-Neng Chan; Shi-Yu Li
Journal:  Environ Monit Assess       Date:  2010-03-09       Impact factor: 2.513

3.  Long-term (2005-2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan.

Authors:  Chih-Sheng Lee; Ken-Hui Chang; Hyunook Kim
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4.  The Relationship of PM Variation with Visibility and Mixing-Layer Height under Hazy/Foggy Conditions in the Multi-Cities of Northeast China.

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5.  Air quality change and public perception during the COVID-19 lockdown in India.

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6.  Long-term trends in visibility and at Chengdu, China.

Authors:  Qiyuan Wang; Junji Cao; Jun Tao; Nan Li; Xiaoli Su; L W Antony Chen; Ping Wang; Zhenxing Shen; Suixin Liu; Wenting Dai
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7.  The concentrations of ambient Burkholderia pseudomallei during typhoon season in endemic area of melioidosis in Taiwan.

Authors:  Ya-Lei Chen; Yu-Chuan Yen; Chun-Yuh Yang; Min Sheng Lee; Chi-Kung Ho; Kristina D Mena; Peng-Yau Wang; Pei-Shih Chen
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8.  Comparison of Ground-Based PM2.5 and PM10 Concentrations in China, India, and the U.S.

Authors:  Xingchuan Yang; Lei Jiang; Wenji Zhao; Qiulin Xiong; Wenhui Zhao; Xing Yan
Journal:  Int J Environ Res Public Health       Date:  2018-07-02       Impact factor: 3.390

  8 in total

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