Remote sensing monitoring method for dust and wind accumulation in multi-metal mining area of Xin Barag Right Banner,Inner Mongolia

doi:10.6046/gtzyyg.2020.02.07

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Abstract

The Awula-Chagan lead-zinc-silver mine in Xin Barag Right Banner of Inner Mongolia is located in the abdomen of Hulunbuir grassland. Its semi-arid climate makes tailings ponds, solid waste piles and ore piles easily generate dust, polluting surrounding grassland. The traditional chemical sampling and spectral analysis investigate the high precision of the mining area but they are time-consuming and labor-intensive. It is convenient to use the time-series remote sensing method to monitor the dust pollution in the mining area. In this paper, GF-1 satellite data in 2018 were used to extract the information of the mining area in the study area. Based on an analysis of the wind field and the best observation month in the study area, the authors used the five-phase Landsat satellite data to adopt the end-element decomposition model of “dust accumulation-vegetation-water and shadow”, and used the method of semi-automatic elimination of road interference by manual intervention to remove the effects of roads. Compared with NDVI index analysis method, the proposed method considers the vegetation spectral information and takes into account the spectral information of the dust, thus making the monitoring effect more objective. A comparative study of 5 remote sensing image aeolian dust extractions found that, as of 2018, the mining area 1 km buffer aeolian dust contamination area expanded to 190.57 hm², of which annual average growth area in 2000—2010 and 2010—2018 were 14.72 hm² and 0.64 hm², respectively. The monitoring results show that the prevention and control measures adopted in the mining area can significantly improve the pollution of dust and wind accumulations; nevertheless, with the further development of the mining area, ecological restoration and management should also be conducted in time.

Keywords mining area dust pollution Linear Spectral Mixing Model NDVI time series monitoring

TP79

Corresponding Authors: Zhi ZHANG E-mail: 171560655@qq.com

Issue Date: 18 June 2020

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	Guoce SONG
	Zhi ZHANG

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Guoce SONG,Zhi ZHANG. Remote sensing monitoring method for dust and wind accumulation in multi-metal mining area of Xin Barag Right Banner,Inner Mongolia[J]. Remote Sensing for Land & Resources, 2020, 32(2): 46-53.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.02.07 OR https://www.gtzyyg.com/EN/Y2020/V32/I2/46

Fig.1 Location of research area

Fig.2 Chart of year-end maximum wind and annual monthly mean wind speed

Fig.3 Change of monthly mean value of NDVI in study area

Tab.1 Remote sensing data used in this paper

Fig.4 Extraction and reflectivity calculation of endmember component

Tab.2 Evaluation of decomposition accuracy

Fig.5 Map of road mask raster

Fig.6 Spatial distribution of dust pollution in the Jiawula-Chagan lead-zinc-silver mining area from 2000 to 2018

Tab.3 Statistics of dust pollution area in the buffer zone from 2000 to 2018(hm²)

Fig.7 Changes of dust pollution area in the buffer zone from 2000 to 2018

Fig.8 Comparison between experimental result and NDVI effect

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