Study of Stratosphere‐troposphere exchange events of ozone in India and Greece using ozonesonde ascents

Ganguly, Nandita D.; Tzanis, Chris G.

doi:10.1002/met.241

Cited by 45 publications

(19 citation statements)

References 37 publications

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“…Further studies have shown that ozone depletion occurred not only in the Antarctic but also in other latitudes, which indicates it has become a global phenomenon [6][7][8][9]. Apart from the anthropogenic factor, there are many geophysical parameters that affect the ozone, including the Quasi-Biennial Oscillation, an 11-year cycle of the solar flux, the scaling effect in planetary science, the stratosphere-troposphere exchange, and so on [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978–2013

Chen

et al. 2014

Remote Sensing

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Abstract:The objective of this work is to analyze the temporal and spatial variability of the total ozone column (TOC) trends over the Yangtze River Delta, the most populated region in China, during the last 35 years using remote sensing-derived TOC data. Due to the lack of continuous and well-covered ground-based TOC measurements, little is known about the Yangtze River Delta. TOC data derived from the Total Ozone Mapping Spectrometer (TOMS) for the period 1978-2005 and Ozone Monitoring Instrument (OMI) for the period 2004-2013 were used in this study. The spatial, long-term, seasonal, and short-term variations of TOC in this region were analyzed. For the spatial variability, the latitudinal variability has a large range between 3% and 13%, and also represents an annual cycle with maximum in February and minimum in August. In contrast, the longitudinal variability is not significant and just varies between 2% and 4%. The long-term variability represented a notable decline for the period 1978-2013. The ozone depletion was observed significantly during 1978-1999, with linear trend from (−3.2 ± 0.7) DU/decade to (−10.5 ± 0.9) DU/decade. As for seasonal variability, the trend of TOC shows a distinct seasonal pattern, with maximum in April or May and minimum in October or November. The short-term analysis demonstrates the day-to-day changes as well as the six-week system persistence of the TOC. The results OPEN ACCESSRemote Sens. 2014, 6 12528 can provide comprehensive descriptions of the TOC variations in the Yangtze River Delta and benefit climate change research in this region.

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Section: Introductionmentioning

confidence: 99%

Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978–2013

Chen

et al. 2014

Remote Sensing

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“…The smog/haze-fog formation basically depends on the atmospheric aerosol loading levels and meteorological state, particularly, on air humidity. Important factors defining or influencing the loadings of the atmospheric air with polluting aerosols or chemical compounds and, by this manner, the occurrence and evolution of smog/haze-fog, are the natural air circulations and solar irradiation [24,91,92], as well as some anthropogenic ones resulting from traffic or industrial fuel combustion, heating, fires, or of other industrial and construction human activities [93][94][95].…”

Section: Impacts On Air Qualitymentioning

confidence: 99%

Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health

Pérez-Díaz

Ivanov

Peshev

et al. 2017

Water

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This work presents a selective overview of natural fogs in terms of fog types, forms and states of occurrence, physical, micro-physical, chemical and dynamic properties, basic characterizing parameters, etc. In focus are related achievements and contributions reported mainly during the last decade and a half, as a result of both laboratory studies and field observations. Processes of homogeneous and heterogeneous nucleation are analyzed in the aspects of condensation, nuclei diversity and specifics, as related to the activation, growth and deposition of fog droplets. The effect is highlighted of the water vapor's partial pressure on the surface tension of the liquid water-air interface and the freezing point of the water droplets. Some problems and aspects of fog modeling, parameterization, and forecasting are outlined and discussed on the examples of newly developed relevant 1D/3D theoretical models. Important issues of fog impacts on the air quality, ecosystems, water basins, societal life, and human health are also addressed and discussed, particularly in cases of anthropogenically modified (chemical, radioactive, etc.) fogs. In view of reducing the possible negative effects of fogs, conclusions are drawn concerning the new demands and challenges to fog characterization imposed by the changing natural and social environment and the needs for new data on and approaches to more adequate observations of fog-related events.

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“…The simulation at time t can be calculated by the previous at time t − 1 and the evolution rules of Formulas (4)- (6). Assuming that the simulation states of the fuzzy cognitive map at time t are A (t) = A 1 (t), .…”

Section: Outputs: the Relationship Degrees In The Fuzzy Cognitive Mapmentioning

confidence: 99%

“…In addition, there are also other possible factors that may affect haze-fog like atmospheric circulation, solar radiation, traffic, industrial emissions, fires, etc. [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Peng

2017

Sustainability

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Abstract:Haze-fog has seriously hindered the sustainable development of the ecological environment and caused great harm to the physical and mental health of residents in China. Therefore, it is important to probe the formation of haze-fog for its early warning and prevention. The formation of haze-fog is, in fact, a fuzzy nonlinear process. The formation of haze-fog is such a complex process that it is difficult to simulate its dynamic evolution using traditional methods, mainly because of the lack of their consideration of the nonlinear relationships. It is, therefore, essential to explore new perspectives on the formation of haze-fog. In this work, previous research on haze-fog formation is summarized first. Second, a new perspective is proposed on the application of fuzzy cognitive map to the formation of haze-fog. Third, a data mining method based on the genetic algorithm is used to discover the causality values of a fuzzy cognitive map (FCM) for haze-fog formation. Finally, simulation results are obtained through an experiment using the fuzzy cognitive map and its data mining method for the formation of haze-fog. The validity of this approach is determined by definition of a simple rule and the Kappa values. Thus, this research not only provides a new idea using FCM modeling the formation of haze-fog, but also uses an effective method of FCM for solving the nonlinear dynamics of the haze-fog formation.

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Study of Stratosphere‐troposphere exchange events of ozone in India and Greece using ozonesonde ascents

Cited by 45 publications

References 37 publications

Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978–2013

Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978–2013

Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

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