2016
DOI: 10.3390/su8050488
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Impacts of Mining and Urbanization on the Qin-Ba Mountainous Environment, China

Abstract: Abstract:The Qin-Ba Ecological Functional Zone is a component of China's ecological security pattern designed to protect the regional ecosystem and maintain biodiversity. However, due to the impact of mining and urban encroachment, the plight of a sustainable ecosystem in the Qin-Ba mountainous area is deteriorating. This paper has used a remote sensing and geographic information system (GIS) to examine the impacts of mining and urban encroachment on the environment in the Qin-Ba mountainous area. The results … Show more

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Cited by 11 publications
(4 citation statements)
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“…Related to the environment, the urban growth negatively affects the environment. This conclusion is in line with the results of research the impact of mining development and urban infrastructure on environmental ecosystems (Xu , et al, 2016), the impact of urban growth on biodiversity (Zeng , et al, 2016), (Coles, et al, 2010), (McCarthy, et al, 2010),the impact of urban growth on the climate change (Ahmad & Choi, 2010),the social equity and environmental conditions have been marginalizedby the rapid economic development (Fan & Qi, 2010), the satisfication with neightborhood attribtes decreases with increasing urbanization (Oleyar, et al, 2008), (Jiang & Hardee, 2009),and (Zheng, et al, 2010). The phenomena of negative impact of the urban growth on the environment generally occurs because it only promotes the short-term interests of the economy.…”
Section: Introductionsupporting
confidence: 89%
“…Related to the environment, the urban growth negatively affects the environment. This conclusion is in line with the results of research the impact of mining development and urban infrastructure on environmental ecosystems (Xu , et al, 2016), the impact of urban growth on biodiversity (Zeng , et al, 2016), (Coles, et al, 2010), (McCarthy, et al, 2010),the impact of urban growth on the climate change (Ahmad & Choi, 2010),the social equity and environmental conditions have been marginalizedby the rapid economic development (Fan & Qi, 2010), the satisfication with neightborhood attribtes decreases with increasing urbanization (Oleyar, et al, 2008), (Jiang & Hardee, 2009),and (Zheng, et al, 2010). The phenomena of negative impact of the urban growth on the environment generally occurs because it only promotes the short-term interests of the economy.…”
Section: Introductionsupporting
confidence: 89%
“…One of the most critical issues in mine environments is the natural oxidation (chemical and biological) of sulfide mineral tailings that are exposed to water, oxygen, and microorganisms. This oxidation is responsible for the generation of mine drainage that compromises the quality of soil, surface water, and sub-surface water bodies, hence affecting overall biodiversity [2][3][4][5].…”
Section: Discussionmentioning
confidence: 99%
“…These deposits are permanent source of toxic substances, especially heavy metals which contaminate all environmental compounds, mainly soil and water. Changes of water and soil quality affect also biodiversity of mining area [2][3][4][5]. The properties of drainage water depend on many factors, including mineralogical, geochemical properties, hydrogeological conditions, and the activity of lithoautotrophic microorganisms.…”
Section: Introductionmentioning
confidence: 99%
“…To better manage the artisanal gold mining activities, it is first necessary to accurately map and monitor the waste extent. The use of remotely sensing techniques, including satellite imagery, has proven useful for this purpose (Barenblitt et al, 2021;Forkuor et al, 2020;Hao et al, 2019;Khalifa & Arnous, 2012;Marcangeli, 2003;Mensah et al, 2017;Ngom et al, 2020;Nodem et al, 2019;Paull et al, 2006;Schimmer, 2008;Sonter et al, 2014;Suresh & Jain, 2013;Werner et al, 2019Werner et al, , 2020Werner et al, , 2020Woldai, 2001;Xu et al, 2016). The different Landsat sensors (LS 4-5 TM, LS 7 ETM+, LS 8 OLI/TIR) provide multispectral images that can be effectively used for mapping and monitoring waste.…”
mentioning
confidence: 99%