scholarly journals Identifying Key Potential Source Areas for Ambient Methyl Mercaptan Pollution Based on Long-Term Environmental Monitoring Data in an Industrial Park

Atmosphere ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 501 ◽  
Author(s):  
Yujie Liu ◽  
Qi Yu ◽  
Zihan Huang ◽  
Weichun Ma ◽  
Yan Zhang
Keyword(s):  
Source Identification ◽  
Meteorological Data ◽  
Source Area ◽  
Industrial Park ◽  
Methyl Mercaptan ◽  
Source Areas ◽  
Potential Source ◽  
Industrial Parks ◽  
Concentrated Source

Precise source identification for ambient pollution incidents in industrial parks were often difficult due to limited measurements. Source area analysis method was one of the applicable source identification methods, which could provide potential source areas under these circumstances. However, a source area usually covered several sources and the method was unable to identify the real one. This article introduces a case study on the statistical source identification of methyl mercaptan based on the long-term measurements, in 2014, in an industrial park. A procedure for statistical source area analysis was established, which contains independent pollution episode extraction, source area calculation scenario definition, meteorological data selection, and source area statistical analysis. A total of 414 violation records were detected by five monitors inside the park. Three kinds of calculation scenarios were found and, finally, three key source areas were revealed. The typical scenarios of source area calculations were described in detail. The characteristics of the statistical source areas for all pollution episodes were examined. Finally, the applicability of the method, as well as the source of uncertainties, was discussed. This study shows that more concentrated source areas can be identified through the statistical source area method if several excessive emission sources exist in an industrial park.

scholarly journals THE CHARACTERISTICS AND POTENTIAL SOURCE AREA ANALYSIS OF PM<sub>2.5</sub> CONCENTRATION FOR ZHENGZHOU DURING 2016

2018 ◽  
Vol XLII-3 ◽  
pp. 781-787
Author(s):  
D. Li ◽  
J. Liu ◽  
S. Li ◽  
C. Wang ◽  
S. Zhou
Keyword(s):  
Meteorological Data ◽  
Source Area ◽  
Pollution Monitoring ◽  
Air Mass ◽  
Double Peak Structure ◽  
Air Pollution Monitoring ◽  
Source Areas ◽  
Peak Structure ◽  
Potential Source ◽  
Air Mass Trajectory

This study used the HYSPLIT-4 model combined with cluster analysis, potential source pollution contribution functions and other methods to analyse the ground air pollution monitoring data and meteorological data in Zhengzhou during 2016. The results showed that: 1) the level of PM<sub>2.5</sub> reached the low value in summer. The PM<sub>2.5</sub> concentration reached the highest level in December and reached the lowest level in August. The daily variation characteristics of PM<sub>2.5</sub> concentration in different seasons were roughly the same, and it had an obviously "double-peak" structure. 2) The annual PM<sub>2.5</sub> concentration was positively correlated with atmospheric pressure and relative humidity. The annual PM<sub>2.5</sub> concentration was negatively correlated with temperature, visibility, precipitation, and wind speed. 3) In winter, the air mass trajectory that through the northern Sichuan &amp;ndash; Gansu &amp;ndash; Shaanxi &amp;ndash; Hubei was polluted seriously, and the level of PM<sub>2.5</sub> was the highest which reached to 202.13&amp;thinsp;μg/m<sup>3</sup>. In summer, the air mass trajectory that came from Hubei was the lowest level with the value is 40.17&amp;thinsp;μg/m<sup>3</sup>. 4) The potential source areas located in northwest of Zhengzhou, Gansu, Hubei and Beijing-Tianjin-Hebei region in spring. The surrounding of Zhengzhou contributed to the pollution of Zhengzhou. The potential source areas appeared in Shaanxi, Sichuan, and Qinghai, the border between Ningxia and Inner Mongolia in autumn. In winter the potential source areas located in Jiangsu, Hubei, Henan, eastern of Shanxi, southern of Shanxi, Ningxia and the area of Yellow Sea, etc.

scholarly journals Long-term real-time measurements of aerosol particle composition in Beijing, China: seasonal variations, meteorological effects, and source analysis

2015 ◽  
Vol 15 (10) ◽  
pp. 14549-14591 ◽  
Author(s):  
Y. L. Sun ◽  
Z. F. Wang ◽  
W. Du ◽  
Q. Zhang ◽  
Q. Q. Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Seasonal Variations ◽  
High Potential ◽  
Source Analysis ◽  
Particle Composition ◽  
Source Areas ◽  
Potential Source ◽  
High Concentrations ◽  
Beijing China

Abstract. High concentrations of fine particles (PM2.5) are frequently observed during all seasons in Beijing, China, leading to severe air pollution and human health problems in this megacity. In this study, we conducted real-time measurements of non-refractory submicron aerosol (NR-PM1) species (sulfate, nitrate, ammonium, chloride, and organics) in Beijing using an Aerodyne Aerosol Chemical Speciation Monitor for 1 year, from July 2011 to June 2012. This is the first long-term, highly time-resolved (~ 15 min) measurement of fine particle composition in China. The seasonal average (± 1σ) mass concentration of NR-PM1 ranged from 52 (± 49) μg m−3 in the spring season to 62 (± 49) μg m−3 in the summer season, with organics being the major fraction (40–51%), followed by nitrate (17–25%) and sulfate (12–17%). Organics and chloride showed pronounced seasonal variations, with much higher concentrations in winter than in the other seasons, due to enhanced coal combustion emissions. Although the seasonal variations of secondary inorganic aerosol (SIA = sulfate + nitrate + ammonium) concentrations were not significant, higher contributions of SIA were observed in summer (57–61%) than in winter (43–46%), indicating that secondary aerosol production is a more important process than primary emissions in summer. Organics presented pronounced diurnal cycles that were similar among all seasons, whereas the diurnal variations of nitrate were mainly due to the competition between photochemical production and gas–particle partitioning. Our data also indicate that high concentrations of NR-PM1 (> 60 μg m−3) are usually associated with high ambient relative humidity (RH) (> 50%) and that severe particulate pollution is characterized by different aerosol composition in different seasons. All NR-PM1 species showed evident concentration gradients as a function of wind direction, generally with higher values associated with wind from the south, southeast or east. This was consistent with their higher potential as source areas, as determined by potential source contribution function analysis. A common high potential source area, located to the southwest of Beijing along the Taihang Mountains, was observed during all seasons except winter, when smaller source areas were found. These results demonstrate a high potential impact of regional transport from surrounding regions on the formation of severe haze pollution in Beijing.

Industrial Parks as Industrial Renewal

2020 ◽  
pp. 159-181
Author(s):  
Robert Lewis
Keyword(s):  
The Other ◽  
Public Private Partnerships ◽  
Industrial Park ◽  
Industrial Parks ◽  
Ordered Space ◽  
Term Basis ◽  
1960S And 1970S ◽  
The 1960S ◽  
Industrial Center

This chapter looks at the other main industrial redevelopment strategy that emerged in the 1960s. It mentions the building of industrial parks in the 1960s and 1970s, such as the Ashland Industrial Center in the deindustrialized Stockyards, that became a failure despite the allocation of significant funds by public–private partnerships. It emphasizes how the institutional fix of the industrial park could not solve the Chicago's manufacturing decline. The chapter refers to industrial areas that consist of many lots managed on a long-term basis by industrial and nonindustrial promoters. It outlines two principles that shaped the development of the industrial park in postwar Chicago: First was modern planning ideas that emerged after 1890 and second was the search for ordered space paralleled by the search for property profits.

scholarly journals Long-term real-time measurements of aerosol particle composition in Beijing, China: seasonal variations, meteorological effects, and source analysis

2015 ◽  
Vol 15 (17) ◽  
pp. 10149-10165 ◽  
Author(s):  
Y. L. Sun ◽  
Z. F. Wang ◽  
W. Du ◽  
Q. Zhang ◽  
Q. Q. Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Seasonal Variations ◽  
High Potential ◽  
Source Analysis ◽  
Particle Composition ◽  
Source Areas ◽  
Potential Source ◽  
High Concentrations ◽  
Beijing China

Abstract. High concentrations of fine particles (PM2.5) are frequently observed during all seasons in Beijing, China, leading to severe air pollution and human health problems in this megacity. In this study, we conducted real-time measurements of non-refractory submicron aerosol (NR-PM1) species (sulfate, nitrate, ammonium, chloride, and organics) in Beijing using an Aerodyne Aerosol Chemical Speciation Monitor for 1 year, from July 2011 to June 2012. This is the first long-term, highly time-resolved (~ 15 min) measurement of fine particle composition in China. The seasonal average (±1σ) mass concentration of NR-PM1 ranged from 52 (±49) μg m−3 in the spring season to 62 (±49) μg m−3 in the summer season, with organics being the major fraction (40–51 %), followed by nitrate (17–25 %) and sulfate (12–17 %). Organics and chloride showed pronounced seasonal variations, with much higher concentrations in winter than in the other seasons, due to enhanced coal combustion emissions. Although the seasonal variations of secondary inorganic aerosol (SIA, i.e., sulfate + nitrate + ammonium) concentrations were not significant, higher contributions of SIA were observed in summer (57–61 %) than in winter (43–46 %), indicating that secondary aerosol production is a more important process than primary emissions in summer. Organics presented pronounced diurnal cycles that were similar among all seasons, whereas the diurnal variations of nitrate were mainly due to the competition between photochemical production and gas–particle partitioning. Our data also indicate that high concentrations of NR-PM1 (> 60 μg m−3) are usually associated with high ambient relative humidity (RH) (> 50 %) and that severe particulate pollution is characterized by different aerosol composition in different seasons. All NR-PM1 species showed evident concentration gradients as a function of wind direction, generally with higher values associated with wind from the south, southeast or east. This was consistent with their higher potential as source areas, as determined by potential source contribution function analysis. A common high potential source area, located to the southwest of Beijing along the Taihang Mountains, was observed during all seasons except winter, when smaller source areas were found. These results demonstrate a high potential impact of regional transport from surrounding regions on the formation of severe haze pollution in Beijing.

scholarly journals Temporal Variations and Potential Source Areas of Fine Particulate Matter in Bangkok, Thailand

2020 ◽  
Vol 13 ◽  
pp. 117862212097820
Author(s):  
Suwimon Kanchanasuta ◽  
Sirapong Sooktawee ◽  
Aduldech Patpai ◽  
Pisit Vatanasomboon
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Source Area ◽  
Temporal Variations ◽  
Statistical Technique ◽  
Monitoring Station ◽  
Polar Plot ◽  
Source Areas ◽  
Low Wind Speed ◽  
Potential Source

Particulate matter (PM) less than 2.5 micron (PM2.5) issue is 1 of the important targets of concern by the United Nations’ Sustainable Development Goals. Bangkok is a megacity and facing air pollution problems. This study analyzed PM, PM2.5 and PM less than 10 micron (PM10), monitoring data from stations located in Bangkok, and aimed to present their variations in diurnal, weekly, and intra-annual timescales. High PM concentrations are related to calm wind. The diurnal variation of PM2.5/PM10 suggested a greater accumulation of PM2.5 than PMcoarse during the low wind speed. Potential source areas affecting PM rising at each monitoring station were identified using statistical technique, bivariate polar plot, and conditional bivariate probability function. Results showed that Ratchathewi District Monitoring Station identified 3 potential source areas related to emissions from transportation sources creating rising PM concentrations. The first potential source was located in the northwest direction, namely, the Rama VI Road close to the conjunction with Ratchawithi Road. The second potential source area was located around the cross-section between Phaya Thai Road and Rama I Road, while the third was located at the intersection of the Phaya Thai Road to Yothi Street and Rang Nam Road. These potential source areas constitute useful information for managing and reducing PM.

scholarly journals Optimal Design of Air Quality Monitoring Network for Pollution Detection and Source Identification in Industrial Parks

Atmosphere ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 318 ◽  
Author(s):  
Zihan Huang ◽  
Qi Yu ◽  
Yujie Liu ◽  
Weichun Ma ◽  
Limin Chen
Keyword(s):  
Air Quality ◽  
Source Identification ◽  
Detection Efficiency ◽  
Monitoring Network ◽  
Source Area ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Growth Trend ◽  
Industrial Parks ◽  
Pollution Detection

Dense air quality monitoring network (AQMN) is one of main ways to surveil industrial air pollution. This paper is concerned with the design of a dense AQMN for H2S for a chemical industrial park in Shanghai, China. An indicator (Surveillance Efficiency, SE) for the long-term performance of AQMN was constructed by averaging pollution detection efficiency (rd) and source identification efficiency (rb). A ranking method was developed by combing Gaussian puff model and Source area analysis for improving calculation efficiency. Candidate combinations with highest score were given priority in the selection of next site. Two existing monitors were suggested to relocate to the west and southwest of this park. SE of optimized AQMN increased quickly with monitor number, and then the growth trend started to flatten when the number reached about 60. The highest SE occurred when the number reached 110. Optimal schemes of AQMNs were suggested which can achieve about 98% of the highest SE, while using only about 60 monitors. Finally, the reason why the highest SE is less than 1 and the variation characteristics of rd and rb were discussed. Overall, the proposed method is an effective tool for designing AQMN with optimal SE in industrial parks.

Rural Industrialization in Korea: Policy Program, Performance and Rural Entrepreneurship

2013 ◽  
pp. 49-73
Author(s):  
Suh Chong-Hyuk ◽  
Kim Hyong-Mo
Keyword(s):  
Rural Development ◽  
Farm Income ◽  
Industrial Park ◽  
Income Source ◽  
Rural Industrialization ◽  
Rural Entrepreneurship ◽  
Industrial Parks ◽  
Policy Program ◽  
Industrialization Policy ◽  
Stagnation Period

From the early seventies the Korean Government has adopted a rural industrialization policy as an important measure for promoting rural development. It has been perceived that through this measure the over-concentration of economic activity would be controlled and dispersed. Development of rural industrialization has passed through three different phases: i) the period of promoting rural cottage-type industries (1960-80); ii) the period of rural industrial park establishment; and iii) a stagnation period after the early 1990s. Throughout the overall period government policy changed from an individual project-oriented approach to a diversified and comprehensive policy program. The policy programs, such as the development of rural industrial parks, off-farm income source development and vocational training programs for farm youths, have helped in promoting rural industrialization. On the other hand, policy programs promoting rural out-migration and unbalanced regional development policy have impacted negatively on rural industrialization. Presently one of the serious policy issues facing rural industries is how to secure a young labor force and how to promote rural entrepreneurship. In addition, rural development efforts by local government and authorities are necessary in order to increase investment from urban-based entrepreneur firms. Keywords:Rural industrialization, farm household, off-farm income, rural development, rural industrial park, rural

DROUGHT OCCURRENCE UNDER LITHUANIAN CLIMATIC CONDITIONS

2015 ◽  
Author(s):  
Laima TAPARAUSKIENĖ ◽  
Veronika LUKŠEVIČIŪTĖ
Keyword(s):  
Meteorological Data ◽  
Standardized Precipitation Index ◽  
Vegetation Period ◽  
Climatic Conditions ◽  
Precipitation Record ◽  
Calculation Step ◽  
Drought Conditions ◽  
The Standardized Precipitation Index ◽  
June July

This study provides the analysis of drought conditions of vegetation period in 1982-2014 year in two Lithuanian regions: Kaunas and Telšiai. To identify drought conditions the Standardized Precipitation Index (SPI) was applied. SPI was calculated using the long-term precipitation record of 1982–2014 with in-situ meteorological data. Calculation step of SPI was taken 1 month considering only vegetation period (May, June, July, August, September). The purpose of investigation was to evaluate the humidity/aridity of vegetation period and find out the probability of droughts occurrence under Lithuanian climatic conditions. It was found out that according SPI results droughts occurred in 14.5 % of all months in Kaunas region and in 15.8 % in Telšiai region. Wet periods in Kaunas region occurred in 15.8 %, and in Telšiai region occurrence of wet periods was – 18.8 % from all evaluated months. According SPI evaluation near normal were 69.7 % of total months during period of investigation in Kaunas and respectively – 65.5 % in Telšiai. The probability for extremely dry period under Lithuania climatic conditions are pretty low – 3.0 % in middle Lithuania and 2.4 % in western part of Lithuania.

Service Quality Of Industrial Parks In The View Of Foreign Direct Investment Firms

2019 ◽  
Vol 118 (11) ◽  
pp. 552-562
Author(s):  
Nguyen Thi Ngan ◽  
Bui Huy Khoi
Keyword(s):  
Foreign Direct Investment ◽  
Service Quality ◽  
Direct Investment ◽  
Reliability And Validity ◽  
Quantitative Model ◽  
Industrial Park ◽  
Industrial Parks ◽  
Average Variance ◽  
Composite Reliability

This research aims to assess the service quality of industrial parks (IP) in the view of FDI (foreign direct investment) firms in Vietnam. Data was collected from 270 FDI firms in Vietnam - Singapore Industrial Parks (VSIP) in Vietnam. The proposed research model was based on researches on service quality. Cronbach's Alpha Average Variance Extracted (Pvc),rho (ρA), and Composite Reliability (Pc) tested the reliability and validity of the scale. The analysis results showed that four factors were affecting the servicequality of industrial park in Vietnam being tangibleof VSIP, reliability of VSIP, the empathyof FDI investors, and their assurance. The responsivenessof VSIP did not affect the servicequality of the industrial park. Contents of the article focus on two main issues: the analysis framework of the quantitative model and implicating results todevelop the industrial park services. The limitation of the research was only in VSIP in Vietnam.

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