Pollution characteristics and source analysis of microplastics in the Qiantang River in southeastern China

Dai, Luyao; Wang, Zeyu; Guo, Tianjiao; Hu, Liyong; Chen, Yi; Chen, Cong; Yu, Guogang; Lena, Q.; Chen, Jun

doi:10.1016/j.chemosphere.2022.133576

Cited by 92 publications

(22 citation statements)

References 66 publications

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“…Furthermore, their study identified a need for a sustainable approach that lower carbon emission levels in tourism sectors. Akadiri et al (2017), Dai et al (2022), andGao et al (2020) researched the influence of tourism on environmental pollution using the environmental Kuznets curve for seven small island states: Bahrain, Cuba, Cyprus, Dominican Republic, Haiti, Iceland, and Malta. They discovered that a rise in international tourists leads to increased energy usage and real GDP per capita, contributing negatively to the environment and increasing carbon dioxide emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

Khan

Basit²,

Khan³

et al. 2022

Front. Environ. Sci.

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Travel and tourism have glimpsed a significant and promising implication for economic development. Despite the commendatory implication of tourism, it levies a stringent environmental cost such as environmental degeneration. Hence, this study will incorporate the 18 countries out of the top 20 travel and tourism contributors to economic growth to assess the progressive correlation between tourist arrival, economic growth, energy consumption, and oil consumption on carbon emission by applying panel ARDL spanning from 1995 to 2019. The outcome of the panel ARDL reveals that both periods have witnessed that the endogenous variables have a substantial and positive impact on environmental degradation except for tourism as it indicates −0.22 and −0.48% in the long and short run, having a rate of adjustment as −0.52 toward the equilibrium. The simultaneous quantile regression reveals that in the 50 and 75 percentiles, the effect of tourism has a negative impact, which contradicts the PMG findings. These determinations suggest that the policymakers look for more manageable and environmentally sound tourism and economic growth procedures to safeguard the sustainable environment in the studied countries.

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Section: Literature Reviewmentioning

confidence: 99%

The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

Khan

Basit²,

Khan³

et al. 2022

Front. Environ. Sci.

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“…It has been found in some study that heavy metal contents in submerged plants are correlated with those of water and sediments. However, some scholars believe that it's difficult to determine their correlation as influenced by environmental variables such as temperature, nutrient, pH and oxidation state (Ge et al 2019;Fang et al 2021;Dai et al 2022). In this study, except for a few heavy metals, the correlation of heavy metals in most submerged plants is not significant to surface water and sediments.…”

Section: Distribution Feature Of Heavy Metals In Submerged Plantsmentioning

confidence: 69%

Distribution feature of heavy metals in the system of sediment-submerged plant-water in Xuanwu Lake

Liu

Chun

Zhang³

et al. 2022

Water Supply

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In view of the distribution of heavy metal pollutants in Xuanwu Lake after the comprehensive dredging, contents of Cr, Mn, Ni, Cu, Zn, Cd and Pb in 4 dominant submerged plants and their corresponding sediments in the lake and in surface water were determined, so as to reveal the pollution and distribution of the heavy metals in the system of sediments-submerged plants-water in Xuanwu Lake. Results showed that the average mass concentration of Cr and Ni in the surface water of Xuanwu Lake exceeded the national standard Grade II of the quality of surface water which were 1.79 and 1.56 times, respectively; The contents of Cd and Pd in sediments was respectively 3.31 and 1.17 times of the background value of Nanjing soil, and the North Lake, the contents of Mn, Ni, Zn, Cd and Pd in surface water and Cr, Ni, Zn, Cd and Pd in sediments were higher than other lake areas. The average value Igeo of each element was ranked by size as Cd > Pb > Zn > Cr > Cu > Mn > Ni, except that Cd was the slight pollution (Igeo value is 0.20–0.47), the other heavy metal elements were at a clean level. In the four submerged plants, Mn was significantly positively correlated with Ni, Cu, Zn and Cd (p < 0.01). Ni was significantly positively correlated with Cu, Zn and Cd. Cr in the submerged plants was significantly positively correlated with Cr and Ni in the surface water; The contents of Cd and Pd were significantly positively correlated with Pd and Cu in the surface water (p < 0.05).

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“…Intelligent digital remote sensing technology structure includes image layer, ocean information display layer, and ocean analysis display layer. The function of the image layer is to use remote sensing satellites to remotely sense the marine environment, to simply process and package the captured pictures, and to send them to the marine information processing interface through wireless transmission [18][19][20]. The marine information processing layer digitally displays the monitored information in the image layer and processes it by relying on the marine object database and the marine environment physical field analysis database.…”

Section: Intelligent Image Monitoring Technology For Corrosive Pollut...mentioning

confidence: 99%

Improvement of Monitoring Technology for Corrosive Pollution of Marine Environment under Cloud Computing Platform

Yong-zeng

Dong²,

Qi³

et al. 2022

Coatings

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In view of the increasingly serious problem of marine ecological environmental pollution, the traditional marine environmental corrosive pollution monitoring technology has poor monitoring accuracy and poor monitoring timeliness, and the improvement of the marine environmental corrosive pollution monitoring technology under the cloud computing platform is proposed. The research significance and corrosion influence factors of steel corrosion in the marine environment are described, and the research progress of corrosion mechanism in five different zones of the marine environment is reviewed. Cloud computing parallelizes the processing of corrosive pollution data in the marine environment through virtualization and distributed technology, which greatly improves the efficiency of the algorithm. This paper studies the existing cloud computing platform and ocean monitoring system architecture, uses the distributed architecture to design a cloud computing-oriented ocean monitoring system and meets the design requirements in data collection and data processing. The experimental results show that the precision of marine environmental corrosion pollution monitoring technology proposed in this paper is 96% on average, and the completion rate of monitoring images is 82% on average, which can effectively realize marine environmental corrosion pollution monitoring.

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Pollution characteristics and source analysis of microplastics in the Qiantang River in southeastern China

Cited by 92 publications

References 66 publications

The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

Distribution feature of heavy metals in the system of sediment-submerged plant-water in Xuanwu Lake

Improvement of Monitoring Technology for Corrosive Pollution of Marine Environment under Cloud Computing Platform

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