The Experts below are selected from a list of 13122 Experts worldwide ranked by ideXlab platform

Tangfu Xiao - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek
    Microbial Ecology, 2019
    Co-Authors: Weimin Sun, Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Tangfu Xiao, Qi Wang, Jie Deng, Jie Liu
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH 

  • comparative analyses of the microbial communities inhabiting coal Mining Waste dump and an adjacent acid mine drainage creek
    Microbial Ecology, 2019
    Co-Authors: Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Qi Wang, Jie Deng, Tangfu Xiao
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH < 3 while Acidobacteriaceae-affiliated bacteria prevailed in samples with 3 < pH < 3.5. The detection of some lineages that are seldom reported in Mining areas suggested the coal Mining dumps may be a reservoir of phylogenetic novelty. For example, potential nitrogen fixers, autotrophs, and heterotrophs may form diverse communities that actively self-perpetuate pyrite dissolution and acidic Waste generation, suggesting unique ecological strategies adopted by these innate microorganisms. In addition, co-occurrence network analyses suggest that members of Acidimicrobiales play important roles in interactions with other taxa, especially Fe- and S-oxidizing bacteria such as Sulfobacillus spp.

Yiran Dong - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek
    Microbial Ecology, 2019
    Co-Authors: Weimin Sun, Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Tangfu Xiao, Qi Wang, Jie Deng, Jie Liu
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH 

  • comparative analyses of the microbial communities inhabiting coal Mining Waste dump and an adjacent acid mine drainage creek
    Microbial Ecology, 2019
    Co-Authors: Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Qi Wang, Jie Deng, Tangfu Xiao
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH < 3 while Acidobacteriaceae-affiliated bacteria prevailed in samples with 3 < pH < 3.5. The detection of some lineages that are seldom reported in Mining areas suggested the coal Mining dumps may be a reservoir of phylogenetic novelty. For example, potential nitrogen fixers, autotrophs, and heterotrophs may form diverse communities that actively self-perpetuate pyrite dissolution and acidic Waste generation, suggesting unique ecological strategies adopted by these innate microorganisms. In addition, co-occurrence network analyses suggest that members of Acidimicrobiales play important roles in interactions with other taxa, especially Fe- and S-oxidizing bacteria such as Sulfobacillus spp.

Enzong Xiao - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek
    Microbial Ecology, 2019
    Co-Authors: Weimin Sun, Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Tangfu Xiao, Qi Wang, Jie Deng, Jie Liu
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH 

  • comparative analyses of the microbial communities inhabiting coal Mining Waste dump and an adjacent acid mine drainage creek
    Microbial Ecology, 2019
    Co-Authors: Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Qi Wang, Jie Deng, Tangfu Xiao
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH < 3 while Acidobacteriaceae-affiliated bacteria prevailed in samples with 3 < pH < 3.5. The detection of some lineages that are seldom reported in Mining areas suggested the coal Mining dumps may be a reservoir of phylogenetic novelty. For example, potential nitrogen fixers, autotrophs, and heterotrophs may form diverse communities that actively self-perpetuate pyrite dissolution and acidic Waste generation, suggesting unique ecological strategies adopted by these innate microorganisms. In addition, co-occurrence network analyses suggest that members of Acidimicrobiales play important roles in interactions with other taxa, especially Fe- and S-oxidizing bacteria such as Sulfobacillus spp.

Liu Zhenling - One of the best experts on this subject based on the ideXlab platform.

  • recycling utilization patterns of coal Mining Waste in china
    Resources Conservation and Recycling, 2010
    Co-Authors: Liu Haibin, Liu Zhenling
    Abstract:

    With the fast development of Chinese economy in recent years, China has become the largest coal production and consumption country in the world. Correspondingly, it has produced large quantities of Mining Waste including coal gangue, coal sludge, fly-ash, coal mine drainage and coal-bed methane (CBM) that are hazardous to the soil, air, and water. Based on the theory and practice of sustainable development and recycling economy, the paper will discuss and analyze the Mining Waste management in Jincheng Anthracite Mining Group, Shanxi Province, where they have found the paths to realize the Mining Waste reusing and recycling in colliery. They had established many green industrial chains in the Mining Waste treatment: the gangue piles turned into man-made eco-park, gangue used for power generation, fly-ash used in the building material, the coal Mining water reused and recycled in closed pipelines, the CBM extracted for home-burning and electricity generation, etc. The coal Mining Waste has been converted into wealth and played more and more important roles in many fields. The practice indicated that these patterns can be applied in other coal mines.

  • Recycling utilization patterns of coal Mining Waste in China
    Resources Conservation and Recycling, 2010
    Co-Authors: Liu Haibin, Liu Zhenling
    Abstract:

    With the fast development of Chinese economy in recent years, China has become the largest coal production and consumption country in the world. Correspondingly, it has produced large quantities of Mining Waste including coal gangue, coal sludge, fly-ash, coal mine drainage and coal-bed methane (CBM) that are hazardous to the soil, air, and water. Based on the theory and practice of sustainable development and recycling economy, the paper will discuss and analyze the Mining Waste management in Jincheng Anthracite Mining Group, Shanxi Province, where they have found the paths to realize the Mining Waste reusing and recycling in colliery. They had established many green industrial chains in the Mining Waste treatment: the gangue piles turned into man-made eco-park, gangue used for power generation, fly-ash used in the building material, the coal Mining water reused and recycled in closed pipelines, the CBM extracted for home-burning and electricity generation, etc. The coal Mining Waste has been converted into wealth and played more and more important roles in many fields. The practice indicated that these patterns can be applied in other coal mines. © 2010 Elsevier B.V.

Jie Liu - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek
    Microbial Ecology, 2019
    Co-Authors: Weimin Sun, Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Tangfu Xiao, Qi Wang, Jie Deng, Jie Liu
    Abstract:

    Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal Mining Waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH