The MARINA-Plastic model: Global river export of macro- and microplastics from over 10,000 sub-basins to coastal seas

Author(s):  
Maryna Strokal ◽  
Paul Vriend ◽  
Jikke van Wijnen ◽  
Carolien Kroeze ◽  
Tim van Emmerik

<p>Plastics are found in different sizes in many rivers and coastal waters worldwide. Our understanding of the sources of this plastic is poor. Quantitative, and spatially explicit data on plastic loads is needed to design effective plastic pollution reduction strategies. One way to gather such data is through modeling studies. To this end, we develop the MARINA-Plastic model for macro- and microplastic. The MARINA-Plastic model quantifies annual river export of macro- and microplastic by source from sub-basins to coastal waters of the world. The model runs for over 10,000 sub-basins and considers point (e.g., sewage systems) and diffuse (e.g., mismanaged solid waste on land) sources of plastics in rivers. We evaluate and validate the model using a “building trust” approach. Evaluation results indicate the robustness of the model performance.</p><p>Results of the MARINA-Plastic model show that approximately 10% of all sub-basins are, today, responsible for over 90% of macroplastic inputs to rivers globally. Asia and Africa are responsible for approximately 80% of the plastic export by rivers globally. Coastal waters of Asia and Africa are predominantly polluted with macroplastics from diffuse sources in terms of mass, whereas coastal waters of Europe and North America are predominantly polluted with microplastics from point sources. Middle- and downstream activities contribute largely to coastal water pollution with plastics for selected case studies. These case studies are six large rivers, of which the drainage areas are divided into up-, middle- and downstream sub-basins. These rivers are the Mississippi (North America), Amazon (South America), Danube (Europe), Niger (Africa), Nile (Africa), and the Yangtze (Asia) rivers. Our analysis shows that reducing plastic pollution in coastal waters requires improvement of the wastewater treatment in Europe and North America and solid waste management in Asia and Africa.</p><p>We show that the MARINA-Plastic model is applicable to get a better understanding of the sources and the spatial variability of the plastic pollution in rivers and coastal waters. The model allows to analyse the impact of upstream activities on downstream plastic pollution and to explore effects of environmental policies on plastics in waters. This information can help to develop effective solutions for reducing future plastic pollution.</p>

2020 ◽  
Vol 12 (22) ◽  
pp. 9463
Author(s):  
Dominika Šulyová ◽  
Josef Vodák

One of the main motives for creating this article was to explore the importance of cultural aspects in building smart city approaches. The aim of this article was to obtain answers to three research questions, the answers to which made it possible to identify the elements of multiculturalism that affect the development of smart cities, to find out how multiculturalism affects smart cities and how to manage diversity. The ambition was to create and organize the most important findings into a comprehensive framework. To achieve this goal, secondary analysis methods were used by examining the literature and case studies of best practices from Europe, North America, and Asia. The choice of case studies was conditioned by the placement of smart cities in four global indices (smart city index, Arcadis, IESE and global power index), the existence of a multicultural strategy and elements of successful diversity management, including positive effects and possible limitations. In addition, methods of analysis, comparison and summarization were used. Effective diversity management acts as an accelerator of the sustainable development of smart cities. The results of the analysis of the case studies serve as a basis for recommendations and the creation of a proposed general model, whose task is to simplify the adoption of intelligent concepts, which creates space for the specification of local or cultural conditions of the country. Testing the model in practice is the subject of the following research activities of the authors.


2004 ◽  
Vol 4 (3) ◽  
pp. 2569-2613
Author(s):  
N. H. Savage ◽  
K. S. Law ◽  
J. A. Pyle ◽  
A. Richter ◽  
H. Nüß ◽  
...  

Abstract. This paper compares column measurements of NO2 made by the GOME instrument on ERS-2 to model results from the TOMCAT global CTM. The overall correlation between the model and observations is good (0.79 for the whole world, and 0.89 for north America) but the modelled columns are too large over polluted areas (gradient of 1.4 for North America and 1.9 for Europe). NO2 columns in the region of outflow from North America into the Atlantic seem too high in winter in the model compared to the GOME results, whereas the modelled columns are too small off the coast of Africa where there appear to be biomass burning plumes in the satellite data. Several hypotheses are presented to explain these discrepancies. Weaknesses in the model treatment of vertical mixing and chemistry appear to be the most likely explanations. It is shown that GOME and other satellite data will be of great value in furthering our understanding of atmospheric chemistry and in targeting and testing future model development and case studies.


Author(s):  
Samuel L. Sogin ◽  
Christopher P. L. Barkan ◽  
Yung-Cheng Lai ◽  
Mohd Rapik Saat

Long term demand for freight movements in North America is expected to increase dramatically in the coming decades. The railroads are poised to take on this additional traffic assuming the capacity is available. Measuring the capacity of these rail lines is complicated by the interrelationships between asset utilization, reliability, and throughput. There is not a single metric that captures these intricacies. Capacity can be determined by delay-volume relationships, utility models, or economic study. For many case studies, railroads use parametric and simulation modeling to determine the train delay per 100 train miles. This metric does not tell the full story; especially when comparing different train types. The highway industry uses a different portfolio of metrics that can be adopted by railroad capacity planners. These metrics can be more sensitive to the worse performing trains. Additionally, these metrics can control for increased delay simply due to additional traffic. These concepts are illustrated by simulating the impact of additional 110 mph passenger service to a single track freight line.


2020 ◽  
Vol 1 (2) ◽  
pp. 77-92
Author(s):  
Rotimi Williams Omotoye

Pentecostalism as a new wave of Christianity became more pronounced in 1970's and beyond in Nigeria. Since then scholars of Religion, History, Sociology and Political Science have shown keen interest in the study of the Churches known as Pentecostals because of the impact they have made on the society. The Redeemed Christian Church of God (RCCG) was established by Pastor Josiah Akindayomi in Lagos,Nigeria in 1952. After his demise, he was succeeded by Pastor Adeboye Adejare Enock. The problem of study of this research was an examination of the expansion of the Redeemed Christian Church of God to North America, Caribbean and Canada. The missionary activities of the church could be regarded as a reversed mission in the propagation of Christianity by Africans in the Diaspora. The methodology adopted was historical. The primary and secondary sources of information were also germane in the research. The findings of the research indicated that the Redeemed Christian Church of God was founded in North America by Immigrants from Nigeria. Pastor Adeboye Enock Adejare had much influence on the Church within and outside the country because of his charisma. The Church has become a place of refuge for many immigrants. They are also contributing to the economy of the United States of America. However, the members of the Church were faced with some challenges, such as security scrutiny by the security agencies. In conclusion, the RCCGNA was a denomination that had been accepted and embraced by Nigerians and African immigrants in the United States of America.


2020 ◽  
Vol 2 (7) ◽  
pp. 91-99
Author(s):  
E. V. KOSTYRIN ◽  
◽  
M. S. SINODSKAYA ◽  

The article analyzes the impact of certain factors on the volume of investments in the environment. Regression equations describing the relationship between the volume of investment in the environment and each of the influencing factors are constructed, the coefficients of the Pearson pair correlation between the dependent variable and the influencing factors, as well as pairwise between the influencing factors, are calculated. The average approximation error for each regression equation is determined. A correlation matrix is constructed and a conclusion is made. The developed econometric model is implemented in the program of separate collection of municipal solid waste (MSW) in Moscow. The efficiency of the model of investment management in the environment is evaluated on the example of the growth of planned investments in the activities of companies specializing in the export and processing of solid waste.


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