The situation of hazardous chemical accidents in China between 2000 and 2006

Duan, Weili; Chen, Guohua; Ye, Qing; Qing-guang, Chen

doi:10.1016/j.jhazmat.2010.12.029

Cited by 120 publications

(51 citation statements)

References 16 publications

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“…Water pollution caused both by anthropogenic activities such as urbanization [4], industrial accidents [5][6][7], dam construction [8], and natural phenomena like soil erosion [9] and climate The basin lies in a subtropical wet climate zone with a distinct alternation from a wet to a dry season (see Figure 2) with an annual mean precipitation of 1710 mm and annual mean temperature of 17.5˝C. Water resources in the Poyang Lake Basin are rich, but water managers now face a series of difficulties as the awareness of global climate impacts on precipitation patterns increases.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods

Duan

Nover³

et al. 2016

Sustainability

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Multivariate statistical methods including cluster analysis (CA), discriminant analysis (DA) and component analysis/factor analysis (PCA/FA), were applied to explore the surface water quality datasets including 14 parameters at 28 sites of the Eastern Poyang Lake Basin, Jiangxi Province of China, from January 2012 to April 2015, characterize spatiotemporal variation in pollution and identify potential pollution sources. The 28 sampling stations were divided into two periods (wet season and dry season) and two regions (low pollution and high pollution), respectively, using hierarchical CA method. Four parameters (temperature, pH, ammonia-nitrogen (NH 4 -N), and total nitrogen (TN)) were identified using DA to distinguish temporal groups with close to 97.86% correct assignations. Again using DA, five parameters (pH, chemical oxygen demand (COD), TN, Fluoride (F), and Sulphide (S)) led to 93.75% correct assignations for distinguishing spatial groups. Five potential pollution sources including nutrients pollution, oxygen consuming organic pollution, fluorine chemical pollution, heavy metals pollution and natural pollution, were identified using PCA/FA techniques for both the low pollution region and the high pollution region. Heavy metals (Cuprum (Cu), chromium (Cr) and Zinc (Zn)), fluoride and sulfide are of particular concern in the study region because of many open-pit copper mines such as Dexing Copper Mine. Results obtained from this study offer a reasonable classification scheme for low-cost monitoring networks. The results also inform understanding of spatio-temporal variation in water quality as these topics relate to water resources management.

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Section: Introductionmentioning

confidence: 99%

Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods

Duan

Nover³

et al. 2016

Sustainability

Self Cite

184

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“…Moreover, chemical plant explosion accidents have intensified the air pollution. Whereas, solid waste incidents and unclassified incidents have displayed an obvious increasing trend during the past decade, especially hazardous chemical or hazardous material incidents [5,44]. The proportional variation of different incidents illustrates the varying emphasis of regulation of pollution incidents in China.…”

Section: Statistical Variation Characteristicsmentioning

confidence: 99%

Spatial-Temporal Hotspot Pattern Analysis of Provincial Environmental Pollution Incidents and Related Regional Sustainable Management in China in the Period 1995–2012

et al. 2015

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Spatial-temporal hotspot pattern analysis of environmental pollution incidents provides an indispensable source of information for the further development of incident prevention measures. In this study, the spatial-temporal patterns of environmental pollution incidents in China in the period of 1995-2012 were analyzed, using the Spatial Getis-Ord statistic and an Improved Prediction Accuracy Index (IAPI). The results show that, in this period, the occurrence of environmental incidents exhibited a dynamic growth pattern but then dropped and continued to drop after the year 2006, which was considered a crucial turning point. Not coincidentally, this corresponds to the year when the State Council issued its National Environmental Emergency Plan, and following the examination of major incidents, special actions were taken to strengthen the control of incidents and emergency responses. The results from Getis-Ord General G statistical analysis show that the spatial agglomeration phenomenon was statistically significant after 1999 and that the level of spatial agglomeration was rising, while the Getis-Ord Gi * statistical analysis reveals that environmental pollution incidents were mainly agglomerated in the Pan Yangtze River OPEN ACCESSSustainability 2015, 7 14386Delta and Pan Pearl River Delta regions. Accordingly, the spatial-temporal hotspot pattern based on the IAPI values at the provincial scale could be categorized into: stable hotspots, unstable hotspots, and cold-spot areas. The stable hotspots category was further divided into three subtypes: industrial distribution type, industrial transfer type, and extensive economic growth type. Finally, the corresponding measures for sustainable management were proposed: stable hotspots were classified as essential regions requiring the immediate prevention and control of environmental pollution incidents; unstable hotspots were characterized by their need for ongoing and continual prevention measures, and cold-spots were those areas that required strengthened environmental monitoring. Meanwhile, it was identified that a multi-level environmental pollution incident emergency response and regional (incident) joint control plan needed to be well prepared and carried out effectively. To prevent environmental pollution and the regional transfer of pollution from incidents, measures towards achieving regional environmental planning, environmental risk prevention, environmental emergency monitoring and adequate emergency responses must be efficiently implemented.

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“…Due to environmental climates, human factors and technological faults, improper use of chemicals, spills and explosions of the chemical industry and oil tankers have resulted in large amounts of economic losses, environmental destruction, and casualties (Duan et al, 2011;Posthuma et al, 2014). Risk assessment of emergent pollution accidents has to take several factors into account, such as environment, regional economy, traffic, and information.…”

Section: Introductionmentioning

confidence: 99%