Microplastic pollution in mountain terrains and foothills: A review on source, extraction, and distribution of microplastics in remote areas

Padha, Shaveta; Kumar, Rakesh; Dhar, Anjali; Sharma, Prabhakar

doi:10.1016/j.envres.2021.112232

Cited by 94 publications

(23 citation statements)

References 132 publications

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“…Presence of these polymers in snow was reported before (Abbasi et al, 2022;Bergman et al, 2019;Napper et al, 2020;Parolini et al, 2021). Presence of these polymers were also reported in glaciers and remote areas where major source of MP was considered as atmospheric deposition (Padha et al, 2022). Major source of polyester, polypropylene and polyamide were identified as textile industry and it could be transferred from cities or populated areas (Dris et al, 2016;González-Pleiter et al 2021;Padha et al, 2022).…”

Section: Discussionmentioning

confidence: 79%

“…There are many studies investigating the MP existence in atmospheric compartments, cryosphere and wet & dry deposition events from the different region of the world in the literature (Allen et al, 2021;Bergman et al, 2019;Evangeliou et al, 2020;Napper et al, 2020;Padha et al, 2022;Shao et al, 2022;Su et al, 2022). But, there is no data about the atmospheric deposition of MPs from Turkey.…”

Section: Introductionmentioning

confidence: 99%

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First evidence of microplastic deposition in snow from Turkey

Yücel

TUTSAK

Kılıç

2023

Journal of Anatolian Environmental and Animal Sciences

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Microplastic pollution in snow was investigated in top of the Amanos Mountain in Hatay region, southern Turkey. Snow samples were collected from four stations located in different heights and fronts of the mountain. Abundance of microplastic ranged from 10.5 to 16 MP per liter and a total of 519 microplastic particles (MPs) were identified in snow samples. The majority of identified microplastic were fiber (>99%), black in color and 0.5 – 2.5 mm (62%) size class and polyester (35%). This is the first study examining the microplastic pollution in snow from Turkey. Local wind and trajectory analyses revealed that MPs appeared in the sampling region originated from closely located Amik Plain and/or were transported from remote areas with northwesterly and southerly airflows.

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Section: Discussionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

First evidence of microplastic deposition in snow from Turkey

Yücel

TUTSAK

Kılıç

2023

Journal of Anatolian Environmental and Animal Sciences

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“…Domestic mountain village tourism is in its early stages and lacks practical case analysis, while foreign case studies cannot be copied. Therefore, we should learn from foreign experience and make a comprehensive analysis of mountain village tourism [ 10 ]. On this basis, this paper improves the system dynamics and applies this method to the tourism analysis of professional villages in the mountainous areas in order to accurately judge the agglomeration of professional villages.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics

Wang

Sui-ying

et al. 2022

Computational Intelligence and Neuroscience

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With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and inaccurate prediction of future development, which affect the rational allocation of tourism resources. In order to improve the distribution of tourism resources and better predict the development of tourism professional villages, it is necessary to make comprehensive judgment and analysis, especially the analysis of indicators such as the prediction and development judgment of tourism professional villages. This paper discusses the optimization analysis of the agglomeration of tourism specialized villages by backpropagation (BP) neural network and system dynamics model, analyzes the system structure of the agglomeration factors of tourism specialized villages, and promotes the intelligent integration of the agglomeration factors. The development of clusters of professional villages promotes data integration among resources, economy, society, and other elements and presents the characteristics of big data. As the level of concentration of professional villages increases, the complexity of the associated factors also increases, which increases the difficulty and effectiveness of tourism analysis. In view of this situation, taking mountain tourism as the research object, this paper proposes an improved system dynamics model based on BP, extracts features from cross factor (resource, economic, and social) data, and optimizes the relationship between professional village agglomeration and various factors. The MATLAB simulation results show that based on the improved system dynamics analysis, the simplification rate of (resources, economy, and society) data can be controlled at more than 24%, the degree of agglomeration is more than 95%, and the construction time of the relationship map of related factors is less than 40 s. Therefore, the analysis method proposed in this paper is suitable for the calculation of the agglomeration of tourism professional villages in the mountain area and can meet the needs of the development of tourism professional villages in the mountain area.

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“…The extension of urban and suburban areas and the required provision for their dwellers are mainly responsible. Natural areas, such as mountains, are not spared [Padha et al, 2022] due to the aerial transportation of microplastics to such remote regions [see for example Allen et al, 2021], and also due to direct pollution caused by traditional activities (e.g. pasturing) and/or visitors (e.g.…”

Section: Introductionmentioning

confidence: 99%

Plastics on the rocks: the invisible but harmful footprint of shoe soles

Cecchi¹

2023

Comptes Rendus. Géoscience

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Outdoor recreational activities for leisure and for sport training have grown in popularity. Their environmental impacts remain little studied, especially the waste generated by overfrequentation. Our objective was to document how frequentation of a short mountain hiking trail can lead to significant quantities of waste. To this aim, all small objects found along a three-kilometer trail were collected and their origin determined. Polymers were predominant, and were mostly shoe sole fragments. This has never been documented and must be publicized due to the potential harmfulness to terrestrial and riparian ecosystems, and to increase the walkers' awareness.

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Microplastic pollution in mountain terrains and foothills: A review on source, extraction, and distribution of microplastics in remote areas

Cited by 94 publications

References 132 publications

First evidence of microplastic deposition in snow from Turkey

First evidence of microplastic deposition in snow from Turkey

An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics

Plastics on the rocks: the invisible but harmful footprint of shoe soles

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