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

Chen, Liujia; Yu, Bailang; Chen, Zuoqi; Li, Bailiang; Wu, Jianping

doi:10.3390/rs61212527

Cited by 17 publications

(11 citation statements)

References 56 publications

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“…The highest daily concentrations of NO 2 occurred in the evening and morning. The variation of ozone concentrations documented here, with a pronounced seasonal and diurnal maximum and minimum, is typical of ozone concentrations in Europe, but has been observed in other parts of the world (GirGzdiene, sakalauskiene 2007, saini et al 2008, cHen et al 2014.…”

Section: Resultssupporting

confidence: 66%

Biometeorological determinants of the tropospheric ozone concentration in the suburban conditions of Wroclaw, Poland

2016

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Our aim was to determine relationships between the tropospheric ozone concentration and the nitrogen dioxide concentration, selected meteorological factors and radiation-effective temperature in the suburban area of the city of Wroclaw. Hourly data from 2006-2011 used in the study included concentrations of tropospheric ozone, nitrogen dioxide concentrations, air temperature, air humidity, wind velocity and total irradiance of the sun. Radiation-effective temperature (TRE) was determined on the basis of the four meteorological elements. Concentrations of ozone in southwest Poland show annual, seasonal and daily variation. The highest values occur in the warmest time of the year and day, while the lowest ones are noted in the cold season of the year, in October and in the morning. The variation of ozone concentrations was found to be shaped by changes in nitrogen dioxide concentrations, meteorological elements and the bioclimatic indicator. Ozone and nitrogen dioxide were mutually most strongly correlated in the winter season. In the warm season of the year, from April to October, the ozone concentration was mainly shaped by air temperature, solar radiation, wind velocity and TRE (positive effects), and by relative humidity of the air (a negative influence). The multiple regression equation best described the ozone concentration variation in May. Increased concentrations of ozone were found to appear during thermal stress, expressed as a sensation of warmth/heat, but could also occur under thermal comfort conditions.

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Section: Resultssupporting

confidence: 66%

Biometeorological determinants of the tropospheric ozone concentration in the suburban conditions of Wroclaw, Poland

2016

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“…From June to July, the precipitation in the study area increased; however, the runoff decreased, suggesting that the increase in temperature increased evaporation, and the increase in precipitation could not compensate for the increase in evapotranspiration. The research results of the upper reaches of the Yangtze River show similar findings (Birkinshaw et al 2017) but contrary to the summer runoff increase in the Minjiang River Basin (Chen et al 2014;Yang et al 2015). From April to May, the precipitation decreased, and the runoff increased in the study area, indicating that the increase in temperature increased the snowmelt and runoff.…”

Section: Discussionsupporting

confidence: 63%

“…The prediction of the water cycle and water resource fluctuations is one of the primary components in alleviating the impact of climate change on water resources (Githui et al 2009;Moss et al 2010;Taylor et al 2012;Shrestha et al 2017). The response of water resources to future climate change usually follows the future climate scenario settings, such as hydrological simulation of future events (Chen et al 2014;Yang et al 2015). Researchers worldwide have carried out several studies on this issue.…”

Section: Introductionmentioning

confidence: 99%

Response of runoff in the upper reaches of the Minjiang River to climate change

Yang

Chen

et al. 2021

Journal of Water and Climate Change

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Climate change affects water cycle in different regions. The response of annual runoff and seasonal distribution to climate change in the upper reaches of the Minjiang River during 2021–2050 was studied by coupling the Statistical Downscaling Model (SDSM) and the Soil and Water Assessment Tool (SWAT). This model was driven by the second-generation Canadian Earth System Model (CanESM2) under RCP2.6, RCP4.5, and RCP8.5 scenarios. The results show that the runoff in the upper reaches of the Minjiang River has a unique response to climate change. The maximum and minimum temperatures will increase with the increase in emissions, especially in December–January. The daily precipitation shows an upward trend, especially in July–August in the RCP4.5 scenario. The annual runoff shows an upward trend with the increase in emissions. Compared with the current increase of 13–26%, the most prominent period is November–April. Because the study area covers high mountains and gorge landforms, the altitude difference is great, and the influence of evapotranspiration and snow melting processes is more prominent, causing the monthly runoff to decrease in June–July with an increase in precipitation. From April to May, precipitation decreased while runoff increased.

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“…where TOC i max ,TOC i min and TOC i mean are denote the maximum, minimum, and monthly mean TOC value in i th month respectively. In order to quantify the long-term ozone trend, the annual cycle is estimated from the best fit of the monthly TOC time series [15] (2…”

Section: Methodsmentioning

confidence: 99%

Study of Variability of Atmospheric Ozone over Jumla in Half Period of 24 Solar Cycle

et al. 2021

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This paper reports the variation of total ozone column (TOC) over Jumla (Lat.:-29.28° N, Long.:-82.16° E and Alt.:- 2300 m above sea level) from 2008 to 2014 derived from Total Ozone Mapping Spectrometer (TOMS) satellite observations. The monthly, seasonal, annual variations of TOC, solar insolation and clearness index have been analyzed. The result exemplifies that during the whole study period, the maximum value of monthly average TOC is 289.21 DU ± 10.75 DU in April, while the minimum value is 257.23 DU ± 11.25 DU in December. The results also show that TOC is highly seasonal dependent with larger TOC in spring 273.68 DU ± 14.92 DU and lower in the winter season (260.68 DU ± 15.25 DU). The average annual value of TOC exhibits slightly variable with a maximum in 2010 (277.52 DU ± 40.64 DU) and minimum in 2008 (267.19 DU ± 11.11 DU). The average values of solar insolation and clearness index for whole study the period are 5.10 86 kWh/m2/day ± 0.86 kWh/m2/day and 0.59 ± 0.12 respectively. The average value of TOC during the whole study period is 271.84 DU ± 14.19 DU, which indicates a good amount of stratospheric ozone content over Jumla.

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

Cited by 17 publications

References 56 publications

Biometeorological determinants of the tropospheric ozone concentration in the suburban conditions of Wroclaw, Poland

Biometeorological determinants of the tropospheric ozone concentration in the suburban conditions of Wroclaw, Poland

Response of runoff in the upper reaches of the Minjiang River to climate change

Study of Variability of Atmospheric Ozone over Jumla in Half Period of 24 Solar Cycle

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