Spatiotemporal Dispersion of Local-Scale Dust from the Erdenet Mine in Mongolia Detected by Himawari-8 Geostationary Satellite

Batbold, Chultem; Yumimoto, Keiya; Chonokhuu, Sonomdagva; Byambaa, Batdelger; Avirmed, Batdavaa; Ganbat, Shuukhaaz; Kaneyasu, Naoki; Matsumi, Yutaka; Yasunari, Teppei J.; Taniguchi, Kenji; Hasebe, Noriko; Fukushi, Keisuke; Matsuki, Atsushi

doi:10.2151/sola.2022-036

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…Under the dry and windy climate during spring and autumn, the exposed sediments of mine tailings become an additional source of anthropogenic windblown dust and pose potential threats to the surrounding environment and human health. The combination of ground-based in situ measurements and spatiotemporal satellite data analysis done by Batbold et al (2022) showed the dust dispersion from the Erdenet tailings over an area of over 2000 km 2 .…”

Section: Introductionmentioning

confidence: 99%

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Resource conundrum in Mongolia: Soil contamination from coal and copper–molybdenum mining

Sodnomdarjaa,

Knippertz,

Karthe

et al. 2024

Soil Use and Management

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Soil contamination and the resulting ecological disturbances are a common phenomenon in mining areas, including the vicinities of the largest and oldest open‐pit mining areas in Mongolia. In this work, the potential ecological risk index (RI), Nemerow integrated pollution index (PIN), and Geoaccumulation index (Igeo) were used to estimate the level of soil contamination with Ni, Cu, Zn, As, Cr, and Pb in the top layer of the soils around Baganuur coal mine and Erdenet copper–molybdenum mine. Three different analytical methods were used: portable X‐ray fluorescence (pXRF) for the first assessment of samples, and stationary X‐ray fluorescence and Inductively Coupled Plasma Optical Emission Spectroscopy for the confirmation of results in the laboratory. Even though general contamination levels in both study areas were relatively low, some potentially toxic elements were found at contents several times higher than the maximum permissible level (MPL) according to the national standard of Mongolia. In the Baganuur area, Zn was up to 2.8 and As was up to 3.00 times higher, while in the Erdenet area, As was up to 2.4, Cr was up to 1.7, Cu was up to 8.1, and Zn was up to 1.2 times higher than MPL of the national standard in the vicinity to the mining and industrial area. The estimation of the pXRF measurement had generally similar results to the other two laboratory methods based on spatial distributions of heavy metal content. Among the different geochemical indices, the PIN showed a more accurately distinguished spatial distribution of contamination. For example, highly contaminated areas were found in the vicinity of the open pit, the tailings pond and the industrial area based on PIN results: 3.6%–4.9% of the total area in Baganuur and 3.1%–4.9% of the total area in Erdenet. The identified pollution levels emphasize the essential need for soil rehabilitation in mining areas, a key factor for Mongolia's economic development and environmental stability. In addition, the lack of documented soil rehabilitation initiatives underscores the pressing need for enhanced environmental responsibility in the country's expanding mining sector.

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Section: Introductionmentioning

confidence: 99%

“…The combination of ground‐based in situ measurements and spatiotemporal satellite data analysis done by Batbold et al. (2022) showed the dust dispersion from the Erdenet tailings over an area of over 2000 km 2 .…”

Section: Introductionmentioning

confidence: 99%

Resource conundrum in Mongolia: Soil contamination from coal and copper–molybdenum mining

Sodnomdarjaa,

Knippertz,

Karthe

et al. 2024

Soil Use and Management

View full text Add to dashboard Cite

show abstract

“…Their accurate monitoring needs innovative approaches and still remains a challenging research issue. By harnessing the capabilities of meteorological satellites, specifically Meteosat, it is capable of the development of precise algorithms for estimating meteorological parameters and their subsequent visualization [1][2][3]. Such monitoring capabilities not only offer timely insights but also present the potential to mitigate damage to infrastructure and private properties caused by extreme weather [4,5].…”

Section: Introductionmentioning

confidence: 99%

Automated Application for Visualizing Rainfall and Hail Estimations Derived from an Algorithm Based on Meteosat Multispectral Image Data

Papavasileiou,

Kolios

2023

Ecas 2023

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Spatiotemporal Dispersion of Local-Scale Dust from the Erdenet Mine in Mongolia Detected by Himawari-8 Geostationary Satellite

Abstract: This pre-publication manuscript may be downloaded, distributed and used under the provisions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license. It may be cited using the DOI below.

Cited by 2 publications

References 30 publications

Resource conundrum in Mongolia: Soil contamination from coal and copper–molybdenum mining

Resource conundrum in Mongolia: Soil contamination from coal and copper–molybdenum mining

Automated Application for Visualizing Rainfall and Hail Estimations Derived from an Algorithm Based on Meteosat Multispectral Image Data

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