Impact of Taihu Lake on city ozone in the Yangtze River Delta

et al. 2022

Sci Rep

To study the spatial occurrence, sources, and ecological risks of 16 PAHs, surface sediments had been collected from seven major areas of Taihu Lake, China in April 2021. Results showed that the concentrations of ∑16PAHs varied between 1381.48 and 4682.16 ng g−1, and the contents of BghiP in each sample were the highest. The PAHs concentrations in the sediments near the lakeshore were much higher than those in the central area of the lake. The sedimentary ∑16PAHs were mainly composed of molecular-weight monomers and 4-ring PAHs showed superiority (35.69–45.02%). According to the ratio of PAH monomer, the sedimentary PAHs in Taihu Lake were dominantly derived from the combustion. Through the biological toxicity assessment and the BaP equivalent (BaPE), great biological risks of PAHs monomers i.e. DahA and IcdP were found. Both concentrations of ∑16PAHs and dominant 4–6-ring monomers accompanied by carcinogenic risks in many areas of Taihu Lake increased. It is necessary to strengthen monitoring and take measures to control the input of organic pollutants.

Section: Introductionmentioning

confidence: 99%

Spatial occurrence and sources of PAHs in sediments drive the ecological and health risk of Taihu Lake in China

Lang

et al. 2022

Sci Rep

“…The role of these circulation systems on the distribution of air pollution and atmospheric chemistry in coastal urban environments continues to be explored in recent case studies, field campaigns, and long‐term observational analyses [e.g., in the mid‐Atlantic US (Loughner et al., 2014; Mazzuca et al., 2019; Stauffer & Thompson, 2015), Los Angeles (Wagner et al., 2012), Houston (Caicedo et al., 2019), Salt Lake City (Blaylock et al., 2017), Lake Michigan (Vermeuel et al., 2019), and Lake Ontario (Wentworth et al., 2015), and elsewhere around the world including around the Mediterranean (Castell et al., 2008; Finardi et al., 2018; Mavrakou et al., 2012), and in East Asia (Hwang et al., 2007; Lin et al., 2007; H. Wang et al., 2018; L. Zhang et al., 2017)]. These studies often demonstrate the capacity of sea breezes to worsen air pollution at the surface.…”

Section: Introductionmentioning

confidence: 99%

Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality

Geddes

2021

JGR Atmospheres

Despite comprising less than 10% of the land area in the contiguous US, almost 40% of the country's population lives in coastal shoreline counties (NOAA, 2021). In addition to being vulnerable to a host of environmental risks (e.g., flooding, hurricanes, sea level rise, and erosion), these regions experience unique meteorological phenomena that are specific to coastlines, and which can strongly influence the distribution of air pollution within coastal cities. Quantifying the distribution of atmospheric constituents that impact human health, and understanding the influence of meteorological processes on this distribution, remain priority research areas in atmospheric chemistry (NAS, 2016).The "sea breeze" (and its "lake breeze" counterpart) is a prominent example of a meteorological process unique to coastal regions that can influence the distribution of trace atmospheric species. At its simplest,

“…Surface modeling of lakes is a critical process to estimate the fluxes on the lake surface for numerical simulations of weather and climate [1]. The accuracy of the results is important for weather prediction [2][3][4], climate change [5,6] and pollutant dispersion simulations [7,8]. Hydromechanics and thermodynamics provide theoretical framework for the development of mathematical models for lakes and reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Surface Energy Flux and Thermal Stratification of Lake Taihu with Three 1-D Models

Qian

Gao

et al. 2019

Water

The accurate simulation of lake-air exchanges can improve weather and climate predictions, quantify the lake water cycle and provide evidence for water demand management and decision making. This paper analyzes the thermal stratification and surface flux of eastern Lake Taihu and evaluates three common surface models: CLM4-LISSS, E-ε and LAKE. The results show that the thermal stratification and lake-air exchanges are greatly affected by the weather conditions and have obvious diurnal variations in the Lake Taihu. The eddy exchange coefficient (EEC) in the thermodynamic equation varies greatly with the weather conditions and the water depth too, and an accurate parameterization scheme is important for the temperature simulations. The lake surface temperature simulation results of the CLM4-LISSS model have the highest accuracy due to the more accurate EEC simulation, with a correlation coefficient (CC) of 0.94 and a root mean square error (RMSE) of 0.85 °C, and latent flux simulation with a CC of 0.78 and a RMSE of 55.32 W m−2. Moreover, the submerged plants in shallow water have obvious influences on the radiation, thermal transferring and eddy motion. The E–ε model can accurately simulate the surface temperature with submerged plants consideration, though a better scheme to deal with surface flux and turbulence dissipation in the areas of submerged plants is still need to be developed. The physical process in the LAKE model is comprehensive, while when it is used to simulate Lake Taihu and other shallow lakes, the EEC is large and needs to be adjusted.