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Prediction of the long-term performance of green liquor dregs as a sealing layer to prevent the formation of acid mine drainage 

Mäkitalo, Maria; Lu, Jinmei; Maurice, Christian; Öhlander, Björn (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-10-08)
One of the mining industry's main concerns is the management of waste rock and tailings generated by sulfide ore extraction. Upon exposure of atmospheric oxygen, iron sulfides oxidize generating acidity. Infiltrating water form a metal-rich acidic leachate called acid mine drainage (AMD), that can cause serious environmental problems. Green liquor dregs (GLD) is a material that resists the passage ...
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Ambient air quality and the effects of air pollutants on otolaryngology in Beijing 

Zhang, Fengying; Xu, Jin; Zhang, Ziying; Meng, Haiying; Wang, Li; Lu, Jinmei; Wang, Wuyi; Kraft, Thomas (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-07-09)
Abstract To investigate temporal patterns, pollution concentrations and the health effects of air pollutants in Beijing we carried out time-series analyses on daily concentrations of ambient air pollutants and daily numbers of outpatient visits for otolaryngology over 2 years (2011– 2012) to identify possible health effects of air pollutants. The results showed that PM10 was the major air ...
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Study on enzymatic activities and behaviors of heavy metal in sediment–plant at muddy tidal flat in Yangtze Estuary 

Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2014-09-02)
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Spatiotemporal patterns of particulate matter (PM) and associations between PM and mortality in Shenzhen, China 

Zhang, Fengying; Liu, Xiaojian; Zhou, Lei; Yu, Yong; Wang, Li; Lu, Jinmei; Wang, Wuyi; Krafft, Thomas (Peer reviewed, 2016-03-02)
Background: Most studies on air pollution exposure and its associations with human health in China have focused on the heavily polluted industrial areas and/or mega-cities, and studies on cities with comparatively low air pollutant concentrations are still rare. Only a few studies have attempted to analyse particulate matter (PM) for the vibrant economic centre Shenzhen in the Pearl River Delta. ...
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The effect of drinking water quality on the health and longevity of people-A case study in Mayang, Hunan province, China 

Lu, Jinmei; Yuan, Fuqing (Peer reviewed; Bokkapittel; Chapter, 2017)
Drinking water is an important source for trace elements intake into human body. Thus, the drinking water quality has a great impact on people's health and longevity. This study aims to study the relationship between drinking water quality and human health and longevity. A longevity county Mayang in Hunan province, China was chosen as the study area. The drinking water and hair of local centenarians ...
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The effect of temperature and precipitation on the leaching of contaminants from Ballangen tailings deposit, Norway 

Lu, Jinmei; Yuan, Fuqing (Journal article; Peer reviewed, 2019)
Leaching and transport of contaminants from tailings deposit is a highly complex interacting system affected by a suite of environmental factors, among which temperature and precipitation rates linked to climate change are two important parameters. The climate change in the Nordic region is more drastic than other regions. In this study, a laboratory batch leaching experiment was performed on the ...
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Non-contact sensing and modelling on the voltage and electric field for powered transmission line 

Yuan, Fuqing; Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
From environmental, ecological or technical perspectives, the measurement of the potential voltage, electric field near the power transmission line is essential to ensure the exposure level does not exceed the limits of the government specified. This paper develops a potential voltage model, designs experiments to verify the developed model and to evaluate the parameters in the model. An electric ...
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A Review of Hydrological Models Applied in the Permafrost-Dominated Arctic Region 

Bui, Minh Tuan; Lu, Jinmei; Nie, Linmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-06)
The Arctic region is the most sensitive region to climate change. Hydrological models are fundamental tools for climate change impact assessment. However, due to the extreme weather conditions, specific hydrological process, and data acquisition challenges in the Arctic, it is crucial to select suitable hydrological model(s) for this region. In this paper, a comprehensive review and comparison of ...
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Quantifying the effects of watershed subdivision scale and spatial density of weather inputs on hydrological simulations in a Norwegian Arctic watershed 

Bui, Minh Tuan; Lu, Jinmei; Nie, Linmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-01)
The effects of watershed subdivisions on hydrological simulations have not been evaluated in Arctic conditions yet. This study applied the Soil and Water Assessment Tool and the threshold drainage area (TDA) technique to evaluate the impacts of watershed subdivision on hydrological simulations at a 5,913-km<sup>2 </sup>Arctic watershed, Målselv. The watershed was discretized according to four TDA ...
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Anomaly Detection for Environmental Data Using Machine Learning Regression 

Yuan, Fuqing; Lu, Jinmei (Journal article; Peer reviewed, 2018)
Environmental data exhibits as huge amount and complex dependency. Utilizing these data to detect anomaly is beneficial to the disaster prevention. Big data approach using the machine learning method has the advantage not requiring the geophysical and geochemical knowledge to detect anomaly. This paper using the popular support vector regression (SVR ) to model the correlation between factors. ...
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